1013 citations as recorded by crossref.

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2. Does the Representation of Flow Structure and Turbulence at a Cold Front Converge on Multiscale Observations with Model Resolution? B. Harvey et al. https://doi.org/10.1175/MWR-D-16-0479.1
3. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
4. Increase in severe and extreme soil moisture droughts for Europe under climate change M. Grillakis https://doi.org/10.1016/j.scitotenv.2019.01.001
5. The effect of GCM biases on global runoff simulations of a land surface model L. Papadimitriou et al. https://doi.org/10.5194/hess-21-4379-2017
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7. Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. https://doi.org/10.1002/cli2.24
8. The friagem event in the central Amazon and its influence on micrometeorological variables and atmospheric chemistry G. Camarinha-Neto et al. https://doi.org/10.5194/acp-21-339-2021
9. Assessing subkilometre‐scale weather models for an extreme heat event over Paris V. Kumar et al. https://doi.org/10.1002/qj.70193
10. Quantifying uncertainties in soil carbon responses to changes in global mean temperature and precipitation K. Nishina et al. https://doi.org/10.5194/esd-5-197-2014
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12. An integrated model of stomatal development and leaf physiology G. Dow et al. https://doi.org/10.1111/nph.12608
13. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. https://doi.org/10.5194/gmd-14-6515-2021
14. The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM S. Johnson et al. https://doi.org/10.1007/s00382-015-2614-1
15. Climate and basin drivers of seasonal river water temperature dynamics C. Laizé et al. https://doi.org/10.5194/hess-21-3231-2017
16. Plant profit maximization improves predictions of European forest responses to drought M. Sabot et al. https://doi.org/10.1111/nph.16376
17. Systematic overestimation of evapotranspiration over irrigated areas by an offline land surface model T. Lunel et al. https://doi.org/10.5194/hess-30-5117-2026
18. Skilful seasonal prediction of winter gas demand H. Thornton et al. https://doi.org/10.1088/1748-9326/aaf338
19. Description and evaluation of the UKCA stratosphere–troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1 A. Archibald et al. https://doi.org/10.5194/gmd-13-1223-2020
20. Short-Range Prediction of Monsoon Precipitation by NCMRWF Regional Unified Model with Explicit Convection A. Mamgain et al. https://doi.org/10.1007/s00024-017-1754-0
21. Added value of dynamical downscaling in sub-seasonal tropical cyclone forecast T. Kim et al. https://doi.org/10.1016/j.atmosres.2026.108988
22. Simulating forest productivity along a neotropical elevational transect: temperature variation and carbon use efficiency T. Marthews et al. https://doi.org/10.1111/j.1365-2486.2012.02728.x
23. Recent Changes in Global Photosynthesis and Terrestrial Ecosystem Respiration Constrained From Multiple Observations W. Li et al. https://doi.org/10.1002/2017GL076622
24. Impact of model resolution on the response of Arctic hydrological cycle to climate warming is largely a function of orographic snow J. Ridley & E. Blockley https://doi.org/10.1007/s00382-025-07827-0
25. Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition K. Fleischer et al. https://doi.org/10.1038/s41561-019-0404-9
26. Global Snow Mass Measurements and the Effect of Stratigraphic Detail on Inversion of Microwave Brightness Temperatures M. Richardson et al. https://doi.org/10.1007/s10712-013-9263-x
27. Remotely sensed carotenoid dynamics improve modelling photosynthetic phenology in conifer and deciduous forests C. Wong et al. https://doi.org/10.1016/j.agrformet.2022.108977
28. Bayesian Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid Scale T. Quaife & E. Cripps https://doi.org/10.3390/rs8040314
29. Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) A. Druel et al. https://doi.org/10.5194/gmd-10-4693-2017
30. Contrasting Conditions in the U.K. Winter of 2015/16 as a Result of Remote Tropical Influences A. Maidens et al. https://doi.org/10.1175/JCLI-D-18-0433.1
31. The Local Biophysical Response to Land-Use Change in HadGEM2-ES E. Robertson https://doi.org/10.1175/JCLI-D-18-0738.1
32. How marine cloud brightening could also affect stratospheric ozone E. Bednarz et al. https://doi.org/10.1126/sciadv.adu4038
33. Showcasing urban heat island work in Birmingham – measuring, monitoring, modelling and more C. Tomlinson et al. https://doi.org/10.1002/wea.1998
34. Scale- and Vegetation-Dependent Energy Flux Biases in CoLM2024 and ECLand: A PLUMBER2 Evaluation J. Li et al. https://doi.org/10.3390/land15091650
35. Enhancing Forecast Skill of Winter Temperature of East Asia Using Teleconnection Patterns Simulated by GloSea5 Seasonal Forecast Model Y. Lee et al. https://doi.org/10.3390/atmos14030438
36. A global–land snow scheme (GLASS) v1.0 for the GFDL Earth System Model: formulation and evaluation at instrumented sites E. Zorzetto et al. https://doi.org/10.5194/gmd-17-7219-2024
37. Evaluating Parameterizations for Turbulent Fluxes over the Landfast Sea-Ice Surface in Prydz Bay, Antarctica F. Cheng et al. https://doi.org/10.1007/s00376-023-2299-z
38. Evaluation of wetland CH4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. https://doi.org/10.5194/bg-19-5779-2022
39. Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. https://doi.org/10.5194/hess-21-2881-2017
40. A model for leaf temperature decoupling from air temperature B. Blonder & S. Michaletz https://doi.org/10.1016/j.agrformet.2018.07.012
41. Large-Scale Predictors for Extreme Hourly Precipitation Events in Convection-Permitting Climate Simulations S. Chan et al. https://doi.org/10.1175/JCLI-D-17-0404.1
42. Underestimation of Global Photosynthesis in Earth System Models Due to Representation of Vegetation Structure R. Braghiere et al. https://doi.org/10.1029/2018GB006135
43. Catchment woodland planting and the benefits to flood reduction T. Willis et al. https://doi.org/10.1093/forestry/cpaf055
44. Upgrade of the HadGEM3-A based attribution system to high resolution and a new validation framework for probabilistic event attribution A. Ciavarella et al. https://doi.org/10.1016/j.wace.2018.03.003
45. Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS A. Pongracz et al. https://doi.org/10.5194/bg-18-5767-2021
46. High‐resolution global climate simulations: Representation of cities D. Hertwig et al. https://doi.org/10.1002/joc.7018
47. Application of TAMSAT-ALERT soil moisture forecasts for planting date decision support in Africa E. Black et al. https://doi.org/10.3389/fclim.2022.993511
48. STEMMUS-UEB v1.0.0: integrated modeling of snowpack and soil water and energy transfer with three complexity levels of soil physical processes L. Yu et al. https://doi.org/10.5194/gmd-14-7345-2021
49. Real World and Tropical Cyclone World. Part II: Sensitivity of Tropical Cyclone Formation to Uniform and Meridionally Varying Sea Surface Temperatures under Aquaplanet Conditions K. Walsh et al. https://doi.org/10.1175/JCLI-D-19-0079.1
50. The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model H. Hewitt et al. https://doi.org/10.5194/gmd-9-3655-2016
51. Large but decreasing effect of ozone on the European carbon sink R. Oliver et al. https://doi.org/10.5194/bg-15-4245-2018
52. Assessment of the Efficacy of Lightning Forecast Over India: A Diagnostic Study A. Sandeep et al. https://doi.org/10.1007/s00024-020-02627-5
53. Detection of solar dimming and brightening effects on Northern Hemisphere river flow N. Gedney et al. https://doi.org/10.1038/ngeo2263
54. Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. https://doi.org/10.5194/hess-20-3059-2016
55. Skilful seasonal prediction of winter wind speeds in China J. Lockwood et al. https://doi.org/10.1007/s00382-019-04763-8
56. Simulation of a mesoscale convective system over Northern India: Sensitivity to convection partitioning in a regional NWP model T. Francis et al. https://doi.org/10.1016/j.dynatmoce.2020.101162
57. Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. https://doi.org/10.1002/hyp.13767
58. Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. https://doi.org/10.1002/hyp.14676
59. A process-based modeling of soil organic matter physical properties for land surface models – Part 1: Soil mixture theory B. Decharme https://doi.org/10.5194/gmd-18-9349-2025
60. Development of the UKESM-TOPAZ Earth System Model (Version 1.0) and Preliminary Evaluation of its Biogeochemical Simulations H. Lee et al. https://doi.org/10.1007/s13143-021-00263-0
61. Impact of Domain Size on Tropical Precipitation Within Explicit Convection Simulations R. Jones et al. https://doi.org/10.1029/2023GL104672
62. Implementation of a multi-layer snow scheme in the GloSea6 seasonal forecast system: impacts on land–atmosphere interactions and climatological biases E. Seo et al. https://doi.org/10.5194/gmd-19-1261-2026
63. An improved representation of physical permafrost dynamics in the JULES land-surface model S. Chadburn et al. https://doi.org/10.5194/gmd-8-1493-2015
64. Current and future hot-spots and hot-moments of nitrous oxide emission in a cold climate river basin N. Shrestha & J. Wang https://doi.org/10.1016/j.envpol.2018.04.068
65. Perspectives in Modelling Climate–Hydrology Interactions S. Hagemann et al. https://doi.org/10.1007/s10712-013-9245-z
66. Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations W. Fei et al. https://doi.org/10.1029/2020WR028846
67. Development and evaluation of a new soil moisture and runoff parameterization for the CABLE LSM including subgrid‐scale processes M. Decker https://doi.org/10.1002/2015MS000507
68. Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere D. Sergeev et al. https://doi.org/10.5194/gmd-16-5601-2023
69. Parameterizations of Snow Cover, Snow Albedo and Snow Density in Land Surface Models: A Comparative Review W. Lee et al. https://doi.org/10.1007/s13143-023-00344-2
70. A review of phase-transition representation in permafrost land surface models: Mechanisms, algorithms, and impacts S. Wang et al. https://doi.org/10.1016/j.earscirev.2026.105681
71. The Influence of Internal Climate Variability on Stratospheric Water Vapor Increases After Large‐Magnitude Explosive Tropical Volcanic Eruptions X. Zhou et al. https://doi.org/10.1029/2023GL103076
72. Drought Influences the Accuracy of Simulated Ecosystem Fluxes: A Model-Data Meta-analysis for Mediterranean Oak Woodlands R. Vargas et al. https://doi.org/10.1007/s10021-013-9648-1
73. Sensitivity analysis of the land surface model with respect to the specification, spatial resolution, and aggregation of soil hydrophysical characteristics in Siberian ecosystems A. Ryazanova & V. Bogomolov https://doi.org/10.1007/s00382-026-08129-9
74. Probabilistic Assessment of the Impact of Compound Dry and Hot Events on Vegetation Drought Over Northwestern China J. Lu et al. https://doi.org/10.1002/eco.70008
75. Regional assessment of the cooling performance of non-white near-infrared solar reflective coatings on asphalt surfaces in the Qinghai-Tibet Plateau Y. Zhou et al. https://doi.org/10.1016/j.applthermaleng.2025.127808
76. Simulation of vegetation feedbacks on local and regional scale precipitation in West Africa A. Hartley et al. https://doi.org/10.1016/j.agrformet.2016.03.001
77. Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. https://doi.org/10.5194/gmd-15-5233-2022
78. Simulation of soil temperature under maize: An inter-comparison among 33 maize models B. Kimball et al. https://doi.org/10.1016/j.agrformet.2024.110003
79. The impact of non-isothermal soil moisture transport on evaporation fluxes in a maize cropland W. Shao et al. https://doi.org/10.1016/j.jhydrol.2018.04.033
80. Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America C. Rollinson et al. https://doi.org/10.1111/gcb.13626
81. Characteristics of tropical cyclones over the western North Pacific related to extreme ENSO and a climate regime shift in sub-seasonal forecasting with GloSea5 T. Kim et al. https://doi.org/10.1007/s00382-023-06705-x
82. Mixing‐length controls on high‐resolution simulations of convective storms K. Hanley et al. https://doi.org/10.1002/qj.2356
83. Intensity fluctuations in Hurricane Irma (2017) during a period of rapid intensification W. Torgerson et al. https://doi.org/10.5194/wcd-4-331-2023
84. The importance of initial conditions in seasonal predictions of Antarctic sea ice E. Campitelli et al. https://doi.org/10.5194/tc-20-2557-2026
85. Subseasonal drivers of extreme fire weather in Australia and its prediction in ACCESS-S1 during spring and summer A. Marshall et al. https://doi.org/10.1007/s00382-021-05920-8
86. Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research R. Fadeev et al. https://doi.org/10.1515/rnam-2018-0028
87. Inter-comparison of soybean models for simulation of evapotranspiration under rainfed and irrigated conditions K. Kothari et al. https://doi.org/10.1016/j.agrformet.2025.110882
88. High-end climate change impact on European runoff and low flows – exploring the effects of forcing biases L. Papadimitriou et al. https://doi.org/10.5194/hess-20-1785-2016
89. The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al. https://doi.org/10.5194/gmd-17-6799-2024
90. Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling N. Dang et al. https://doi.org/10.3897/oneeco.7.e76410
91. Enhancing the representation of water management in global hydrological models G. Abeshu et al. https://doi.org/10.5194/gmd-16-5449-2023
92. The Montreal Protocol protects the terrestrial carbon sink P. Young et al. https://doi.org/10.1038/s41586-021-03737-3
93. Propagation of uncertainty of soil hydraulic parameterization in the prediction of water balance components: A stochastic analysis in kaolinitic clay soils E. Alves Rodrigues Pinheiro & Q. de Jong van Lier https://doi.org/10.1016/j.geoderma.2020.114910
94. Unraveling the Mechanism of Extreme (More than 30 Sigma) Precipitation during August 2018 and 2019 over Kerala, India P. Mukhopadhyay et al. https://doi.org/10.1175/WAF-D-20-0162.1
95. The location of the thermodynamic atmosphere–ice interface in fully coupled models – a case study using JULES and CICE A. West et al. https://doi.org/10.5194/gmd-9-1125-2016
96. The Seasonal Snow Cover Dynamics: Review on Wind-Driven Coupling Processes R. Mott et al. https://doi.org/10.3389/feart.2018.00197
97. The Origin of Soil Moisture Evaporation “Regimes” L. Vargas Zeppetello et al. https://doi.org/10.1175/JCLI-D-19-0209.1
98. UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. https://doi.org/10.5194/gmd-16-1569-2023
99. Current overview and potential applications of the soil ecosystem services approach in Brazil R. Prado et al. https://doi.org/10.1590/s0100-204x2016000900002
100. Evaluating nine different air-sea flux algorithms coupled with CAM6 Y. Jiang et al. https://doi.org/10.1016/j.atmosres.2024.107486
101. Comparison of three reanalysis‐driven regional climate models over New Zealand: Climatology and extreme events I. Campbell et al. https://doi.org/10.1002/joc.8578
102. A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling Y. Dai et al. https://doi.org/10.1029/2019MS001784
103. The effect of Ganges river basin irrigation on pre‐monsoon rainfall J. Fletcher et al. https://doi.org/10.1002/qj.4218
104. Evaluating Regional and Global Hydrological Models against Streamflow and Evapotranspiration Measurements Y. Zhang et al. https://doi.org/10.1175/JHM-D-15-0107.1
105. The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems K. Arsenault et al. https://doi.org/10.5194/gmd-11-3605-2018
106. CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. https://doi.org/10.5194/gmd-14-4117-2021
107. A first calibration of JULES-crop version 7.4 for rice using the novel O3-FACE experiment in China B. Xu et al. https://doi.org/10.5194/gmd-18-7257-2025
108. WITHDRAWN: Transboundary water scarcity under climate change T. Gao et al. https://doi.org/10.1016/j.hydroa.2021.100080
109. BESS-Rice: A remote sensing derived and biophysical process-based rice productivity simulation model Y. Huang et al. https://doi.org/10.1016/j.agrformet.2018.03.014
110. Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport D. Docquier et al. https://doi.org/10.1007/s00382-019-04840-y
111. Sensitivity of systematic biases in South Asian summer monsoon simulations to regional climate model domain size and implications for downscaled regional process studies J. Karmacharya et al. https://doi.org/10.1007/s00382-015-2565-6
112. Scale Interactions between the MJO and the Western Maritime Continent C. Birch et al. https://doi.org/10.1175/JCLI-D-15-0557.1
113. Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area W. Wang et al. https://doi.org/10.5194/tc-10-287-2016
114. The impact of Argo observations in a global weakly coupled ocean–atmosphere data assimilation and short‐range prediction system R. King et al. https://doi.org/10.1002/qj.3682
115. Global Carbon Budget 2017 C. Le Quéré et al. https://doi.org/10.5194/essd-10-405-2018
116. A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies M. Clark et al. https://doi.org/10.1002/2015WR017200
117. What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review P. Ala-Aho et al. https://doi.org/10.1088/1748-9326/abe82c
118. Spatio-temporal heterogeneities in hydrologic dynamics across the Asian Water Tower S. Aryal & Y. Pokhrel https://doi.org/10.1016/j.jhydrol.2025.133951
119. Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1 E. Howard et al. https://doi.org/10.5194/gmd-17-731-2024
120. Development of a MetUM (v 11.1) and NEMO (v 3.6) coupled operational forecast model for the Maritime Continent – Part 1: Evaluation of ocean forecasts B. Thompson et al. https://doi.org/10.5194/gmd-14-1081-2021
121. Continental-scale prediction of live fuel moisture content using soil moisture information V. Vinodkumar et al. https://doi.org/10.1016/j.agrformet.2021.108503
122. Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. https://doi.org/10.1038/s43247-021-00334-0
123. High-resolution projections of ambient heat for major European cities using different heat metrics C. Schwingshackl et al. https://doi.org/10.5194/nhess-24-331-2024
124. Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0 V. Moreaux et al. https://doi.org/10.5194/gmd-13-5973-2020
125. Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling M. Moradi et al. https://doi.org/10.1016/j.coldregions.2023.103806
126. Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system P. Zelazowski et al. https://doi.org/10.5194/gmd-11-541-2018
127. Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment D. Zanchettin et al. https://doi.org/10.5194/gmd-15-2265-2022
128. Exploring the ecological constraints to multiple ecosystem service delivery and biodiversity L. Maskell et al. https://doi.org/10.1111/1365-2664.12085
129. Prediction of fog/visibility over India using NWP Model A. Singh et al. https://doi.org/10.1007/s12040-018-0927-2
130. A role of the Atlantic Ocean in predicting summer surface air temperature over North East Asia? P. Monerie et al. https://doi.org/10.1007/s00382-017-3935-z
131. Study of an Extremely Severe Cyclonic Storm “Fani” over Bay of Bengal using regional NCUM modeling system: A case study A. Routray et al. https://doi.org/10.1016/j.jhydrol.2020.125357
132. Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada E. Heffernan et al. https://doi.org/10.1088/1748-9326/ad6619
133. A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. https://doi.org/10.1002/hyp.15152
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136. Land-use emissions play a critical role in land-based mitigation for Paris climate targets A. Harper et al. https://doi.org/10.1038/s41467-018-05340-z
137. Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. https://doi.org/10.1016/j.ejrh.2024.101735
138. Dynamic parameterization of Priestley–Taylor coefficient for a more accurate potential evapotranspiration estimation in ungauged regions P. Raghav & M. Kumar https://doi.org/10.1088/1748-9326/ae6464
139. Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services F. Lindberg et al. https://doi.org/10.1016/j.envsoft.2017.09.020
140. Evaluation of the Korea Meteorological Administration Advanced Community Earth-System model (K-ACE) J. Lee et al. https://doi.org/10.1007/s13143-019-00144-7
141. Assessment of model estimates of land-atmosphere CO2 exchange across Northern Eurasia M. Rawlins et al. https://doi.org/10.5194/bg-12-4385-2015
142. GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects S. Endrizzi et al. https://doi.org/10.5194/gmd-7-2831-2014
143. Fire weakens land carbon sinks before 1.5 °C C. Burton et al. https://doi.org/10.1038/s41561-024-01554-7
144. A remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in Sahelian areas A. Allies et al. https://doi.org/10.1016/j.jhydrol.2022.127504
145. Use of Targeted Orographic Smoothing in Very High Resolution Simulations of a Downslope Windstorm and Rotor in a Sub-tropical Highland Location P. Sheridan et al. https://doi.org/10.1007/s00376-023-2298-0
146. A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests X. Yang et al. https://doi.org/10.5194/essd-15-2601-2023
147. Land‐surface interactions with the atmosphere over the Iberian Semi‐arid Environment (LIAISE): First mesoscale modelling intercomparison M. Jiménez et al. https://doi.org/10.1002/qj.4949
148. Applicability of stomatal conductance models comparison for persistent water stress processes of spring maize in water resources limited environmental zone Y. Qi et al. https://doi.org/10.1016/j.agwat.2022.108090
149. Evaluating changes of biomass in global vegetation models: the role of turnover fluctuations and ENSO events A. Cantú et al. https://doi.org/10.1088/1748-9326/aac63c
150. Process-based diagnostics using atmospheric budget analysis and nudging technique to identify sources of model systematic errors C. Matsukawa et al. https://doi.org/10.5194/wcd-6-1539-2025
151. Major factors affecting the snow simulations by the JULES in New Zealand Y. Yang et al. https://doi.org/10.1002/met.1837
152. The consecutive dry days to trigger rainfall over West Africa J. Lee https://doi.org/10.1016/j.jhydrol.2016.06.003
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154. Conditions for instability in the climate–carbon cycle system J. Clarke et al. https://doi.org/10.5194/esd-16-2087-2025
155. The perfect storm? Co-occurring climate extremes in East Africa D. Muheki et al. https://doi.org/10.5194/esd-15-429-2024
156. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level A. Kauffeldt et al. https://doi.org/10.1016/j.envsoft.2015.09.009
157. The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes V. Masson et al. https://doi.org/10.5194/gmd-6-929-2013
158. Indications of Surface and Sub-Surface Hydrologic Properties from SMAP Soil Moisture Retrievals P. Dirmeyer & H. Norton https://doi.org/10.3390/hydrology5030036
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160. Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
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164. Forcing the SURFEX/Crocus snow model with combined hourly meteorological forecasts and gridded observations in southern Norway H. Luijting et al. https://doi.org/10.5194/tc-12-2123-2018
165. Increasing the Physical Representation of Forest‐Snow Processes in Coarse‐Resolution Models: Lessons Learned From Upscaling Hyper‐Resolution Simulations G. Mazzotti et al. https://doi.org/10.1029/2020WR029064
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167. Evaluation of nature-based solutions implementation scenarios, using urban surface modelling E. Panagiotakis et al. https://doi.org/10.47248/HKOD902101010003
168. Assessing the impact of the Human Development Index on historical trends in the INFERNO fire model J. Teixeira et al. https://doi.org/10.5194/esd-17-739-2026
169. Simulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false priming R. Varney et al. https://doi.org/10.5194/bg-20-3767-2023
170. Modeling the Snowpack Energy Balance during Melt under Exposed Crop Stubble P. Harder et al. https://doi.org/10.1175/JHM-D-18-0039.1
171. Simulating Increased Permafrost Peatland Plant Productivity in Response to Belowground Fertilisation Using the JULES Land Surface Model R. Vitali et al. https://doi.org/10.3390/nitrogen3020018
172. Resolution dependence in simulating the African hydroclimate with the HadGEM3-RA regional climate model W. Moufouma-Okia & R. Jones https://doi.org/10.1007/s00382-014-2322-2
173. Abrupt changes in Great Britain vegetation carbon projected under climate change C. Boulton et al. https://doi.org/10.1111/gcb.15144
174. Functional relationships reveal differences in the water cycle representation of global water models S. Gnann et al. https://doi.org/10.1038/s44221-023-00160-y
175. Evaluation of a Regional Reanalysis and ERA-Interim over East Asia Using In Situ Observations during 2013–14 E. Yang & H. Kim https://doi.org/10.1175/JAMC-D-16-0227.1
176. Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) Q. Li et al. https://doi.org/10.5194/gmd-15-4313-2022
177. The importance of model structure and soil data detail on the simulations of crop growth and water use: A case study for sugarcane M. dos Santos Vianna et al. https://doi.org/10.1016/j.agwat.2024.108938
178. Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments J. Teng et al. https://doi.org/10.1016/j.ecoinf.2023.102252
179. Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations W. Li et al. https://doi.org/10.5194/bg-14-5053-2017
180. Application of Bias- and Variance-Corrected SST on Wintertime Precipitation Simulation of Regional Climate Model over East Asian Region S. Shin et al. https://doi.org/10.1007/s13143-020-00189-z
181. Evaluating CO2 effects on semi-empirical and empirical stomatal conductance simulation in land surface models N. Chitsaz et al. https://doi.org/10.1016/j.jhydrol.2023.129385
182. Reindeer grazing increases summer albedo by reducing shrub abundance in Arctic tundra M. te Beest et al. https://doi.org/10.1088/1748-9326/aa5128
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184. Deposition of sulphur and nitrogen in Europe 1900–2050. Model calculations and comparison to historical observations M. Engardt et al. https://doi.org/10.1080/16000889.2017.1328945
185. Sub‐km scale numerical weather prediction model simulations of radiation fog D. Smith et al. https://doi.org/10.1002/qj.3943
186. A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems H. Hewitt et al. https://doi.org/10.1098/rsta.2014.0161
187. Validation of NCUM Model Forecasts Against FAAM Aircraft Observations Over Monsoon Trough Region: A Diagnostic Case Study A. Sandeep et al. https://doi.org/10.1007/s00024-022-03040-w
188. Representation of Boreal Winter MJO and Its Teleconnection in a Dynamical Ensemble Seasonal Prediction System H. Kim et al. https://doi.org/10.1175/JCLI-D-18-0039.1
189. Atmosphere-surface fluxes modeling for the high Andes: The case of páramo catchments of Ecuador G. Carrillo-Rojas et al. https://doi.org/10.1016/j.scitotenv.2019.135372
190. Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. https://doi.org/10.5194/gmd-12-765-2019
191. SnowClim v1.0: high-resolution snow model and data for the western United States A. Lute et al. https://doi.org/10.5194/gmd-15-5045-2022
192. Skill and Reliability of Seasonal Forecasts for the Chinese Energy Sector P. Bett et al. https://doi.org/10.1175/JAMC-D-17-0070.1
193. A Pan-African Convection-Permitting Regional Climate Simulation with the Met Office Unified Model: CP4-Africa R. Stratton et al. https://doi.org/10.1175/JCLI-D-17-0503.1
194. Site-level model intercomparison of high latitude and high altitude soil thermal dynamics in tundra and barren landscapes A. Ekici et al. https://doi.org/10.5194/tc-9-1343-2015
195. Diag-STFN: A diagnostic spatiotemporal multimodal fusion network for global pre-harvest crop yield forecasting H. Zhuang et al. https://doi.org/10.1016/j.ecoinf.2026.103860
196. Land surface models systematically overestimate the intensity, duration and magnitude of seasonal-scale evaporative droughts A. Ukkola et al. https://doi.org/10.1088/1748-9326/11/10/104012
197. Simulating human impacts on global water resources using VIC-5 B. Droppers et al. https://doi.org/10.5194/gmd-13-5029-2020
198. ACCESS-S2 seasonal forecasts of rainfall and the SAM–rainfall relationship during the grain growing season in south-west Western Australia R. Firth et al. https://doi.org/10.1071/ES24004
199. NWP perspective of the extreme precipitation and flood event in Kerala (India) during August 2018 S. Mohandas et al. https://doi.org/10.1016/j.dynatmoce.2020.101158
200. Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. https://doi.org/10.1016/j.rse.2022.113324
201. Evaluation of the snow regime in dynamic vegetation land surface models using field measurements E. Kantzas et al. https://doi.org/10.5194/tc-8-487-2014
202. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. https://doi.org/10.5194/gmd-10-1175-2017
203. Leaf area index identified as a major source of variability in modeled CO2 fertilization Q. Li et al. https://doi.org/10.5194/bg-15-6909-2018
204. Assimilation of land‐surface temperature observations in a 2DEnVar surface data assimilation system within AROME‐France S. Marimbordes et al. https://doi.org/10.1002/qj.5021
205. Climate-Induced Shifts in Global Soil Temperature Regimes M. Grillakis et al. https://doi.org/10.1097/SS.0000000000000156
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208. The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2 M. Bush et al. https://doi.org/10.5194/gmd-16-1713-2023
209. Modelling the impact of climate change on cultural practices: the future of fen skating (1981–2079) J. Richards https://doi.org/10.1007/s10113-024-02218-3
210. Biophysics and vegetation cover change: a process-based evaluation framework for confronting land surface models with satellite observations G. Duveiller et al. https://doi.org/10.5194/essd-10-1265-2018
211. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
212. Evaluation of different versions of NCUM global model for simulation of track and intensity of tropical cyclones over Bay of Bengal A. Routray et al. https://doi.org/10.1016/j.dynatmoce.2017.04.001
213. Understanding the development of systematic errors in the Asian summer monsoon G. Martin et al. https://doi.org/10.5194/gmd-14-1007-2021
214. The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale J. Castillo et al. https://doi.org/10.5194/gmd-15-4193-2022
215. The Met Office Global Coupled model 2.0 (GC2) configuration K. Williams et al. https://doi.org/10.5194/gmd-8-1509-2015
216. Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) description and evaluation J. Eylander et al. https://doi.org/10.1016/j.envsoft.2022.105606
217. Modelling northern peatland area and carbon dynamics since the Holocene with the ORCHIDEE-PEAT land surface model (SVN r5488) C. Qiu et al. https://doi.org/10.5194/gmd-12-2961-2019
218. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al. https://doi.org/10.5194/essd-12-2459-2020
219. Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India M. Ramarao et al. https://doi.org/10.1002/met.70049
220. Monitoring drought in Ghana using TAMSAT‐ALERT: a new decision support system M. Brown et al. https://doi.org/10.1002/wea.3033
221. On the applicability of urban canopy parametrization in building grey zone S. Chen & A. Dipankar https://doi.org/10.1002/qj.4269
222. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al. https://doi.org/10.1002/2017MS001115
223. Coupling the U.K. Earth System Model to Dynamic Models of the Greenland and Antarctic Ice Sheets R. Smith et al. https://doi.org/10.1029/2021MS002520
224. Evaluating Precipitation Datasets Using Surface Water and Energy Budget Closure S. Hobeichi et al. https://doi.org/10.1175/JHM-D-19-0255.1
225. Discharge Simulation Evaluations of ISIMIP3a Global Hydrological Models in the Yangtze River Basin W. Qi et al. https://doi.org/10.3390/w18172076
226. Improving large-scale snow albedo modeling using a climatology of light-absorbing particle deposition M. Gaillard et al. https://doi.org/10.5194/tc-19-769-2025
227. Amplified Drought and Flood Risk Under Future Socioeconomic and Climatic Change H. Tabari et al. https://doi.org/10.1029/2021EF002295
228. Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. https://doi.org/10.1029/2021MS002982
229. A review of early severe weather applications of high‐resolution regional reanalysis in Australia P. Fox‐Hughes et al. https://doi.org/10.1002/met.2087
230. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al. https://doi.org/10.1088/1748-9326/acb226
231. Integrating process-related information into an artificial neural network for root-zone soil moisture prediction R. Souissi et al. https://doi.org/10.5194/hess-26-3263-2022
232. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens et al. https://doi.org/10.5194/essd-9-389-2017
233. Fast matrix treatment of 3-D radiative transfer in vegetation canopies: SPARTACUS-Vegetation 1.1 R. Hogan et al. https://doi.org/10.5194/gmd-11-339-2018
234. Asymmetric Diurnal and Monthly Responses of Ecosystem Carbon Fluxes to Experimental Warming J. Chen et al. https://doi.org/10.1002/clen.201600557
235. Seasonal Prediction Skill and Biases in GloSea5 Relating to the East Asia Winter Monsoon D. Zhang et al. https://doi.org/10.1007/s00376-023-2258-8
236. Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. https://doi.org/10.1080/02626667.2022.2094709
237. GABLS4 intercomparison of snow models at Dome C in Antarctica P. Le Moigne et al. https://doi.org/10.5194/tc-16-2183-2022
238. Scope for predicting seasonal variation of the SPCZ with ACCESS-S1 T. Beischer et al. https://doi.org/10.1007/s00382-020-05550-6
239. Impacts of vegetation restoration on water resources and carbon sequestration in the mountainous area of Haihe River basin, China T. Ma et al. https://doi.org/10.1016/j.scitotenv.2023.161724
240. A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale E. Blyth et al. https://doi.org/10.5194/gmd-4-255-2011
241. Application of the JULES-crop model and agrometeorological indicators for forecasting off-season maize yield in Brazil A. Prudente Junior et al. https://doi.org/10.1016/j.heliyon.2024.e29555
242. Investigation of the summer 2018 European ozone air pollution episodes using novel satellite data and modelling R. Pope et al. https://doi.org/10.5194/acp-23-13235-2023
243. Adaptation required to preserve future high-end river flood risk at present levels S. Willner et al. https://doi.org/10.1126/sciadv.aao1914
244. Southern Ocean deep convection in global climate models: A driver for variability of subpolar gyres and Drake Passage transport on decadal timescales E. Behrens et al. https://doi.org/10.1002/2015JC011286
245. A high-resolution atmosphere–ocean coupled model for the western Maritime Continent: development and preliminary assessment B. Thompson et al. https://doi.org/10.1007/s00382-018-4367-0
246. Air advection induced differences between canopy and surface heat islands W. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.138120
247. Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. https://doi.org/10.1088/2515-7620/ab8b29
248. Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios C. Koven et al. https://doi.org/10.5194/esd-13-885-2022
249. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP J. Davie et al. https://doi.org/10.5194/esd-4-359-2013
250. U.K. Climate Projections: Summer Daytime and Nighttime Urban Heat Island Changes in England’s Major Cities Y. Eunice Lo et al. https://doi.org/10.1175/JCLI-D-19-0961.1
251. The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0 P. Valdes et al. https://doi.org/10.5194/gmd-10-3715-2017
252. Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) N. Smith et al. https://doi.org/10.5194/gmd-15-3603-2022
253. Understanding London's summertime cloud cover N. Theeuwes et al. https://doi.org/10.1002/qj.4214
254. Improvement of a simplified process‐based model for estimating transpiration under water‐limited conditions N. Liu et al. https://doi.org/10.1002/hyp.13430
255. Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models S. Chadburn et al. https://doi.org/10.5194/bg-14-5143-2017
256. North Atlantic Oscillation response in GeoMIP experiments G6solar and G6sulfur: why detailed modelling is needed for understanding regional implications of solar radiation management A. Jones et al. https://doi.org/10.5194/acp-21-1287-2021
257. Contributions of climate change and groundwater extraction to soil moisture trends L. Wang et al. https://doi.org/10.5194/esd-10-599-2019
258. Assessing the impact of a NWP warm‐start system on model spin‐up over tropical Africa J. Warner et al. https://doi.org/10.1002/qj.4429
259. The role of topography on the local circulation and formation of fog at Perth Airport B. Roux et al. https://doi.org/10.1071/ES23025
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261. A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa R. Maidment et al. https://doi.org/10.1038/sdata.2017.63
262. Effects of short spin-up periods on soil moisture simulation and the causes over New Zealand Y. Yang et al. https://doi.org/10.1029/2011JD016121
263. Updated isoprene and terpene emission factors for the Interactive BVOC (iBVOC) emission scheme in the United Kingdom Earth System Model (UKESM1.0) J. Weber et al. https://doi.org/10.5194/gmd-16-3083-2023
264. Representation of precipitation and top-of-atmosphere radiation in a multi-model convection-permitting ensemble for the Lake Victoria Basin (East-Africa) N. Lipzig et al. https://doi.org/10.1007/s00382-022-06541-5
265. Initialisation of Land Surface Variables for Numerical Weather Prediction P. de Rosnay et al. https://doi.org/10.1007/s10712-012-9207-x
266. A Forest Model Intercomparison Framework and Application at Two Temperate Forests Along the East Coast of the United States A. Erickson & N. Strigul https://doi.org/10.3390/f10020180
267. JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. https://doi.org/10.5194/gmd-14-2161-2021
268. Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks E. Comyn-Platt et al. https://doi.org/10.1038/s41561-018-0174-9
269. Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation N. Raoult et al. https://doi.org/10.3390/rs10111786
270. Comparison of ground temperature and permafrost conditions in the Arctic simulated by land surface process models of different complexity J. MORI et al. https://doi.org/10.5331/bgr.23A02
271. Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region D. Moreira et al. https://doi.org/10.5194/acp-17-14785-2017
272. Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation B. Naz et al. https://doi.org/10.5194/hess-23-277-2019
273. Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter E. Seo et al. https://doi.org/10.1016/j.rse.2020.112222
274. Prediction of local wind climatology from Met Office models: Virtual Met Mast techniques J. Standen et al. https://doi.org/10.1002/we.2013
275. Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. https://doi.org/10.5194/hess-25-787-2021
276. Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling R. Kim et al. https://doi.org/10.5194/tc-15-771-2021
277. Modelled sensitivity of the snow regime to topography, shrub fraction and shrub height C. Ménard et al. https://doi.org/10.5194/hess-18-2375-2014
278. Multimodel assessment of water scarcity under climate change J. Schewe et al. https://doi.org/10.1073/pnas.1222460110
279. Increased atmospheric vapor pressure deficit reduces global vegetation growth W. Yuan et al. https://doi.org/10.1126/sciadv.aax1396
280. Risk and contributing factors of ecosystem shifts over naturally vegetated land under climate change in China Y. Yin et al. https://doi.org/10.1038/srep20905
281. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. https://doi.org/10.5194/gmd-11-5027-2018
282. Nitrogen cycle impacts on CO2 fertilisation and climate forcing of land carbon stores C. Huntingford et al. https://doi.org/10.1088/1748-9326/ac6148
283. Vertical canopy gradients of respiration drive plant carbon budgets and leaf area index J. Needham et al. https://doi.org/10.1111/nph.20423
284. Fidelity of coupled hindcast simulations in representing intraseasonal biases over South Asia D. Rao et al. https://doi.org/10.1007/s00382-025-07686-9
285. CoSWAT Model v1: A high-resolution global SWAT+ hydrological model C. Chawanda et al. https://doi.org/10.5194/hess-29-6901-2025
286. Effective Radiative Forcing in a GCM With Fixed Surface Temperatures T. Andrews et al. https://doi.org/10.1029/2020JD033880
287. Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin N. Le Vine et al. https://doi.org/10.5194/hess-20-143-2016
288. Climate impacts on human livelihoods: where uncertainty matters in projections of water availability T. Lissner et al. https://doi.org/10.5194/esd-5-355-2014
289. Regionally divergent drivers behind transgressions of the freshwater change planetary boundary V. Virkki et al. https://doi.org/10.1038/s41467-026-73051-x
290. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance J. Melton et al. https://doi.org/10.5194/gmd-13-2825-2020
291. Sensitivity of plants to changing atmospheric CO2 concentration: from the geological past to the next century P. Franks et al. https://doi.org/10.1111/nph.12104
292. Skillful Seasonal Forecasts of Summer Surface Air Temperature in Western China by Global Seasonal Forecast System Version 5 C. Li et al. https://doi.org/10.1007/s00376-018-7291-7
293. MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al. https://doi.org/10.5194/gmd-15-859-2022
294. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. https://doi.org/10.1016/j.acags.2024.100206
295. Comparison of Met Office regional model soil moisture with COSMOS‐UK field‐scale in situ observations E. Cooper et al. https://doi.org/10.1002/asl.1236
296. Impact of land surface processes on convection over West Africa in convection‐permitting ensemble forecasts: A case study using the MOGREPS ensemble V. Semeena et al. https://doi.org/10.1002/asl.1167
297. Investigating moist dynamics on sub-seasonal scales in the IMDAA reanalysis M. T. S. et al. https://doi.org/10.1016/j.scitotenv.2026.181635
298. Simulation of permafrost and seasonal thaw depth in the JULES land surface scheme R. Dankers et al. https://doi.org/10.5194/tc-5-773-2011
299. Evaluation of SO2, SO42− and an updated SO2 dry deposition parameterization in the United Kingdom Earth System Model C. Hardacre et al. https://doi.org/10.5194/acp-21-18465-2021
300. Soil water content in southern England derived from a cosmic‐ray soil moisture observing system – COSMOS‐UK J. Evans et al. https://doi.org/10.1002/hyp.10929
301. Future fire weather projections show the importance of mitigation and adaptation for dynamic fire management I. Taylor et al. https://doi.org/10.5194/nhess-26-4257-2026
302. Microclimf: Fast modelling of microclimate across real landscapes in R I. Maclean https://doi.org/10.1111/2041-210x.70253
303. Multi-week prediction of the Madden–Julian oscillation with ACCESS-S1 A. Marshall & H. Hendon https://doi.org/10.1007/s00382-018-4272-6
304. Estimating the Permafrost-Carbon Climate Response in the CMIP5 Climate Models Using a Simplified Approach E. Burke et al. https://doi.org/10.1175/JCLI-D-12-00550.1
305. Thawing Permafrost as a Nitrogen Fertiliser: Implications for Climate Feedbacks E. Burke et al. https://doi.org/10.3390/nitrogen3020023
306. Global Seasonal forecast system version 5 (GloSea5): a high‐resolution seasonal forecast system C. MacLachlan et al. https://doi.org/10.1002/qj.2396
307. Global glacier volume projections under high-end climate change scenarios S. Shannon et al. https://doi.org/10.5194/tc-13-325-2019
308. Pochva: a new hydro-thermal process model in soil, snow, and vegetation for application in atmosphere numerical models O. Drofa https://doi.org/10.5194/gmd-18-3175-2025
309. Earth System Model Needs for Including the Interactive Representation of Nitrogen Deposition and Drought Effects on Forested Ecosystems B. Drewniak & M. Gonzalez-Meler https://doi.org/10.3390/f8080267
310. The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of SEA P. Nguyen et al. https://doi.org/10.5194/gmd-19-7653-2026
311. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H. Lievens et al. https://doi.org/10.1016/j.rse.2015.06.025
312. A new model of the coupled carbon, nitrogen, and phosphorus cycles in the terrestrial biosphere (QUINCY v1.0; revision 1996) T. Thum et al. https://doi.org/10.5194/gmd-12-4781-2019
313. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. https://doi.org/10.5194/bg-16-3883-2019
314. High resolution modelling of valley cold pools S. Vosper et al. https://doi.org/10.1002/asl2.439
315. Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. https://doi.org/10.5194/acp-14-13257-2014
316. The Sensitivity of British Weather to Ocean Tides A. Arnold et al. https://doi.org/10.1029/2020GL090732
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477. Atmosphere-only GCM (ACCESS1.0) simulations with prescribed land surface temperatures D. Ackerley & D. Dommenget https://doi.org/10.5194/gmd-9-2077-2016
478. Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. https://doi.org/10.1002/2017JD027346
479. Representation of meteotsunamis in km-scale regional simulations coupled at high frequency N. Makrygianni et al. https://doi.org/10.5194/nhess-26-3185-2026
480. Understanding the West African Monsoon from the analysis of diabatic heating distributions as simulated by climate models G. Martin et al. https://doi.org/10.1002/2016MS000697
481. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al. https://doi.org/10.1016/j.agrformet.2024.110269
482. Future amazon basin wetland hydrology under projected climate change N. Gedney et al. https://doi.org/10.1371/journal.pwat.0000225
483. Reducing the spin‐up of a regional NWP system without data assimilation C. Short & J. Petch https://doi.org/10.1002/qj.4268
484. Informing Improvements in Freeze/Thaw State Classification Using Subpixel Temperature J. Johnston et al. https://doi.org/10.1109/TGRS.2021.3099292
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486. Detection of open water dynamics with ENVISAT ASAR in support of land surface modelling at high latitudes A. Bartsch et al. https://doi.org/10.5194/bg-9-703-2012
487. Significant feedbacks of wetland methane release on climate change and the causes of their uncertainty N. Gedney et al. https://doi.org/10.1088/1748-9326/ab2726
488. ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales C. Qiu et al. https://doi.org/10.5194/gmd-11-497-2018
489. Estimating future wildfire burnt area over Greece using the JULES-INFERNO model A. Rovithakis et al. https://doi.org/10.5194/nhess-25-3185-2025
490. Development of low latency, high resolution SMAP soil moisture retrievals in support of near-real-time applications Y. Kwon et al. https://doi.org/10.3389/feart.2026.1854083
491. Snow interception modelling: Isolated observations have led to many land surface models lacking appropriate temperature sensitivities J. Lundquist et al. https://doi.org/10.1002/hyp.14274
492. Satellite observations of changes in snow-covered land surface albedo during spring in the Northern Hemisphere K. Atlaskina et al. https://doi.org/10.5194/tc-9-1879-2015
493. The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. https://doi.org/10.5194/gmd-17-8817-2024
494. Dryland changes under different levels of global warming A. Koutroulis https://doi.org/10.1016/j.scitotenv.2018.11.215
495. Automated model integration at source code level: An approach to implementing models into the NASA Land Information System S. Wang et al. https://doi.org/10.1016/j.envsoft.2022.105539
496. Land-use change may exacerbate climate change impacts on water resources in the Ganges basin G. Tsarouchi & W. Buytaert https://doi.org/10.5194/hess-22-1411-2018
497. Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES) C. Burton et al. https://doi.org/10.5194/gmd-12-179-2019
498. Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. https://doi.org/10.5194/esd-12-939-2021
499. Greening of human-dominated ecosystems in India T. Park et al. https://doi.org/10.1038/s43247-023-01078-9
500. UCanWBGT: urban street canyon heat stress calculation for weather and climate models J. Shonk et al. https://doi.org/10.1002/qj.70082
501. Snow cover controls seasonally frozen ground regime on the southern edge of Altai Mountains W. Zhang et al. https://doi.org/10.1016/j.agrformet.2020.108271
502. Implementation of water tracers in the Met Office Unified Model A. McLaren et al. https://doi.org/10.5194/gmd-18-8129-2025
503. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration J. Iwema et al. https://doi.org/10.5194/hess-21-2843-2017
504. Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES E. Baker et al. https://doi.org/10.5194/gmd-15-1913-2022
505. Crop-specific seasonal estimates of irrigation-water demand in South Asia H. Biemans et al. https://doi.org/10.5194/hess-20-1971-2016
506. Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles T. Loughran et al. https://doi.org/10.1029/2023JG007605
507. Benchmarking soil moisture and its relationship to ecohydrologic variables in Earth System Models E. Massoud et al. https://doi.org/10.5194/gmd-19-3427-2026
508. Pan-European climate at convection-permitting scale: a model intercomparison study S. Berthou et al. https://doi.org/10.1007/s00382-018-4114-6
509. The first Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL1 M. Bush et al. https://doi.org/10.5194/gmd-13-1999-2020
510. Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention J. Liang & J. Haywood https://doi.org/10.5194/acp-23-1687-2023
511. Prediction Performance of Ocean Temperature and Salinity in Global Seasonal Forecast System Version 5 (GloSea5) on ARGO Float Data J. Wie et al. https://doi.org/10.5467/JKESS.2024.45.4.327
512. A test of an optimal stomatal conductance scheme within the CABLE land surface model M. De Kauwe et al. https://doi.org/10.5194/gmd-8-431-2015
513. Spatio‐temporal variability of water and energy fluxes – a case study for a mesoscale catchment in pre‐alpine environment L. Hingerl et al. https://doi.org/10.1002/hyp.10893
514. A Comparative Performance Analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for Hydrological Applications over Andean–Amazon River Basins Z. Zulkafli et al. https://doi.org/10.1175/JHM-D-13-094.1
515. Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes E. Robinson & D. Clark https://doi.org/10.5194/hess-24-1763-2020
516. Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model D. Bi et al. https://doi.org/10.1071/ES19040
517. Soil Erosion in a British Watershed under Climate Change as Predicted Using Convection-Permitting Regional Climate Projections R. Ciampalini et al. https://doi.org/10.3390/geosciences13090261
518. AUS2200: a high-resolution limited-area modelling project for Australia Y. Huang et al. https://doi.org/10.1071/ES25068
519. MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales M. De Cáceres et al. https://doi.org/10.5194/gmd-16-3165-2023
520. Ecological Response to Climate Change Across China From Combined Soil Temperature and Moisture Changes M. Li et al. https://doi.org/10.1029/2022EA002640
521. Combining satellite observations and reanalysis energy transports to estimate global net surface energy fluxes 1985–2012 C. Liu et al. https://doi.org/10.1002/2015JD023264
522. Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations A. Yool et al. https://doi.org/10.5194/gmd-14-3437-2021
523. The Impact of Biomass Heat Storage on the Canopy Energy Balance and Atmospheric Stability in the Community Land Model S. Swenson et al. https://doi.org/10.1029/2018MS001476
524. The influence of resolved convective motions on scalar dispersion in hectometric‐scale numerical weather prediction models L. Blunn et al. https://doi.org/10.1002/qj.4632
525. Impact of a Multi‐Layer Snow Scheme on Near‐Surface Weather Forecasts G. Arduini et al. https://doi.org/10.1029/2019MS001725
526. Urban‐induced modifications to the diurnal cycle of rainfall over a tropical city Q. Doan et al. https://doi.org/10.1002/qj.3966
527. The Relationship Between the Present‐Day Seasonal Cycles of Clouds in the Mid‐Latitudes and Cloud‐Radiative Feedback K. Furtado et al. https://doi.org/10.1029/2023GL103902
528. Transboundary water scarcity under climate change T. Gao et al. https://doi.org/10.1016/j.jhydrol.2021.126453
529. Spatially Continuous Characterization of Forest Canopy Structure and Subcanopy Irradiance Derived from Handheld Radiometer Surveys G. Mazzotti et al. https://doi.org/10.1175/JHM-D-18-0158.1
530. Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy https://doi.org/10.1007/s10712-013-9221-7
531. Comparison of varied complexity models simulating recharge at the field scale J. Sorensen et al. https://doi.org/10.1002/hyp.9752
532. Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London T. Yu et al. https://doi.org/10.1177/23998083221140890
533. A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0 W. Knorr et al. https://doi.org/10.5194/gmd-18-2137-2025
534. Impact of snow thermal conductivity schemes on pan-Arctic permafrost dynamics in the Community Land Model version 5.0 A. Damseaux et al. https://doi.org/10.5194/tc-19-1539-2025
535. Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate C. Eller et al. https://doi.org/10.1111/nph.16419
536. Towards soil property retrieval from space: A one-dimensional twin-experiment R. Bandara et al. https://doi.org/10.1016/j.jhydrol.2013.06.004
537. A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda https://doi.org/10.1029/2019MS001806
538. New extreme rainfall projections for improved climate resilience of urban drainage systems S. Chan et al. https://doi.org/10.1016/j.cliser.2023.100375
539. Convection-permitting climate simulations for South America with the Met Office Unified Model K. Halladay et al. https://doi.org/10.1007/s00382-023-06853-0
540. Process diagnostics of snowmelt runoff in global hydrological and land surface models – Part 1: A systematic evaluation across basins of increasing complexity X. Lei et al. https://doi.org/10.5194/hess-30-5343-2026
541. A model of energy budgets over water, snow, and ice surfaces J. Wang et al. https://doi.org/10.1002/2013JD021150
542. Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska K. Williams et al. https://doi.org/10.5194/gmd-10-1291-2017
543. Evaluation of multi-season convection-permitting atmosphere – mixed-layer ocean simulations of the Maritime Continent E. Howard et al. https://doi.org/10.5194/gmd-17-3815-2024
544. Sensitivity of a coupled climate model to canopy interception capacity T. Davies-Barnard et al. https://doi.org/10.1007/s00382-014-2100-1
545. SINGV-RCM: the convection-permitting regional climate model for Singapore V. Prasanna et al. https://doi.org/10.1007/s00382-024-07154-w
546. Enhancing the Representation of Glaciers and Ice Sheets in the ecLand Land-Surface Model: Impacts on Surface Energy Balance and Hydrology Across Scales G. Arduini et al. https://doi.org/10.5194/tc-20-1119-2026
547. Continuous monitoring of plant water potential: sensor‐based approaches and best practices A. Restrepo‐Acevedo et al. https://doi.org/10.1111/nph.71194
548. The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations D. Walters et al. https://doi.org/10.5194/gmd-4-919-2011
549. ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system R. Wedd et al. https://doi.org/10.1071/ES22026
550. Dependence of the evolution of carbon dynamics in the northern permafrost region on the trajectory of climate change A. McGuire et al. https://doi.org/10.1073/pnas.1719903115
551. Comparison of machine learning statistical downscaling and regional climate models for temperature, precipitation, wind speed, humidity and radiation over Europe under present conditions A. Hernanz et al. https://doi.org/10.1002/joc.8190
552. Characterisation of convective regimes over the British Isles D. Flack et al. https://doi.org/10.1002/qj.2758
553. Differential Effects of Soil Moisture and Air Temperature on Vegetation Dynamics in Northwest China’s Warming and Wetting Region: An LSTM Modeling Approach Y. Si et al. https://doi.org/10.3390/plants15101542
554. Climate change over UK cities: the urban influence on extreme temperatures in the UK climate projections W. Keat et al. https://doi.org/10.1007/s00382-021-05883-w
555. flat10MIP: an emissions-driven experiment to diagnose the climate response to positive, zero and negative CO2 emissions B. Sanderson et al. https://doi.org/10.5194/gmd-18-5699-2025
556. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas S. Freitas et al. https://doi.org/10.5194/gmd-10-189-2017
557. Improving land surface feedbacks to the atmosphere in convection-permitting climate simulations for Europe K. Halladay et al. https://doi.org/10.1007/s00382-024-07192-4
558. Analysis of fog and inversion characteristics and prediction of fog and associated meteorological parameters using NWP model over sub-urban Bangalore A. Shukla et al. https://doi.org/10.1007/s12040-022-01967-1
559. The Changing Cold Regions Network: Observation, diagnosis and prediction of environmental change in the Saskatchewan and Mackenzie River Basins, Canada C. Debeer et al. https://doi.org/10.1007/s11430-014-5001-6
560. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. https://doi.org/10.1088/1748-9326/ab94e8
561. Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship S. Yi et al. https://doi.org/10.1016/j.rse.2023.113816
562. Impact of Higher Spatial Resolution on Precipitation Properties Over Australia N. Nishant et al. https://doi.org/10.1029/2022GL100717
563. Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins S. Bibi et al. https://doi.org/10.5194/hess-28-1725-2024
564. Small global effect on terrestrial net primary production due to increased fossil fuel aerosol emissions from East Asia since the turn of the century M. O'Sullivan et al. https://doi.org/10.1002/2016GL068965
565. Global NPP and straw bioenergy trends for 2000–2014 M. Tum et al. https://doi.org/10.1016/j.biombioe.2016.03.040
566. Challenges and opportunities in precision irrigation decision-support systems for center pivots J. Zhang et al. https://doi.org/10.1088/1748-9326/abe436
567. Biases in Reanalysis Snowfall Found by Comparing the JULES Land Surface Model to GlobSnow S. Hancock et al. https://doi.org/10.1175/JCLI-D-13-00382.1
568. Impacts of ground-level ozone on sugarcane production A. Cheesman et al. https://doi.org/10.1016/j.scitotenv.2023.166817
569. Observations and numerical weather forecasts of land‐surface and boundary‐layer evolution during an unusually dry spring at a site in central England J. Brooke & S. Osborne https://doi.org/10.1002/qj.4190
570. Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring F. Wolkeba et al. https://doi.org/10.1016/j.jhydrol.2026.135280
571. POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States N. Chaney et al. https://doi.org/10.1029/2018WR022797
572. Biophysical homoeostasis of leaf temperature: A neglected process for vegetation and land‐surface modelling N. Dong et al. https://doi.org/10.1111/geb.12614
573. Reformulation of the Drought Code in the Canadian Fire Weather Index System Implemented in New Zealand Y. Yang et al. https://doi.org/10.1175/JAMC-D-14-0090.1
574. A dynamic model of RuBP-regeneration limited photosynthesis accounting for photoinhibition, heat and water stress N. Bambach et al. https://doi.org/10.1016/j.agrformet.2020.107911
575. Seasonal, Monthly, Daily, and Diel Growth, and Water Status Dynamics of Balsam Fir in a Cold and Humid Boreal Environment S. Oogathoo et al. https://doi.org/10.3390/f14040802
576. The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 M. Bush et al. https://doi.org/10.5194/gmd-18-3819-2025
577. Cocoa plant productivity in West Africa under climate change: a modelling and experimental study E. Black et al. https://doi.org/10.1088/1748-9326/abc3f3
578. Permafrost carbon release scales linearly with overshoot warming mediated by AMOC tipping N. Steinert et al. https://doi.org/10.1038/s41467-026-73612-0
579. Projected increases in the annual flood pulse of the Western Amazon Z. Zulkafli et al. https://doi.org/10.1088/1748-9326/11/1/014013
580. INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model S. Mangeon et al. https://doi.org/10.5194/gmd-9-2685-2016
581. Key Conclusions of the First International Urban Land Surface Model Comparison Project M. Best & C. Grimmond https://doi.org/10.1175/BAMS-D-14-00122.1
582. Evaluation of the Runoff and River Routing Schemes in the Community Land Model of the Yellow River Basin M. Sheng et al. https://doi.org/10.1002/2017MS001026
583. The Met Office Operational Soil Moisture Analysis System B. Gómez et al. https://doi.org/10.3390/rs12223691
584. Assessment of the Representation of West African Storm Lifecycles in Convection‐Permitting Simulations J. Crook et al. https://doi.org/10.1029/2018EA000491
585. Climate change effects on submarine groundwater discharge and regional variations along the Korean Peninsula H. Jung & Y. Yoon https://doi.org/10.1038/s43247-025-02084-9
586. Application of Bayesian Belief Networks to quantify and map areas at risk to soil threats: Using soil compaction as an example M. Troldborg et al. https://doi.org/10.1016/j.still.2013.05.005
587. Towards integrated flood inundation modelling in groundwater-dominated catchments S. Collins et al. https://doi.org/10.1016/j.jhydrol.2020.125755
588. Effects of Meteorological and Ancillary Data, Temporal Averaging, and Evaluation Methods on Model Performance and Uncertainty in a Land Surface Model C. Ménard et al. https://doi.org/10.1175/JHM-D-15-0013.1
589. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. https://doi.org/10.5194/gmd-14-3843-2021
590. Convergence in the temperature response of leaf respiration across biomes and plant functional types M. Heskel et al. https://doi.org/10.1073/pnas.1520282113
591. South American fires and their impacts on ecosystems increase with continued emissions C. Burton et al. https://doi.org/10.1002/cli2.8
592. A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling G. Grell & S. Freitas https://doi.org/10.5194/acp-14-5233-2014
593. Freshwater vulnerability under high end climate change. A pan-European assessment A. Koutroulis et al. https://doi.org/10.1016/j.scitotenv.2017.09.074
594. Global Multimodel Analysis of Drought in Runoff for the Second Half of the Twentieth Century M. van Huijgevoort et al. https://doi.org/10.1175/JHM-D-12-0186.1
595. Representing spatial variability of forest snow: Implementation of a new interception model D. Moeser et al. https://doi.org/10.1002/2015WR017961
596. Global decadal variability of plant carbon isotope discrimination and its link to gross primary production A. Lavergne et al. https://doi.org/10.1111/gcb.15924
597. Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem) K. Mendes et al. https://doi.org/10.3390/f12010086
598. Shrub tundra ecohydrology: rainfall interception is a major component of the water balance S. Zwieback et al. https://doi.org/10.1088/1748-9326/ab1049
599. Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. https://doi.org/10.5194/bg-19-4671-2022
600. Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration C. Bieri et al. https://doi.org/10.5194/gmd-18-3755-2025
601. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. https://doi.org/10.5194/gmd-12-4309-2019
602. Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale S. Cheng et al. https://doi.org/10.1109/TETCI.2024.3445450
603. Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. https://doi.org/10.1088/1748-9326/ad4bf6
604. Development and evaluation of an Earth-System model – HadGEM2 W. Collins et al. https://doi.org/10.5194/gmd-4-1051-2011
605. Regional variation in the effectiveness of methane-based and land-based climate mitigation options G. Hayman et al. https://doi.org/10.5194/esd-12-513-2021
606. Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. https://doi.org/10.5194/hess-22-4061-2018
607. Sensitivity of the 2018 UK summer heatwave to local sea temperatures and soil moisture J. Petch et al. https://doi.org/10.1002/asl.948
608. The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al. https://doi.org/10.5194/gmd-13-55-2020
609. Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM) M. Nakhavali et al. https://doi.org/10.5194/gmd-11-593-2018
610. Evaluation of a photosynthesis-based biogenic isoprene emission scheme in JULES and simulation of isoprene emissions under present-day climate conditions F. Pacifico et al. https://doi.org/10.5194/acp-11-4371-2011
611. Seasonal Forecasts of the Summer 2016 Yangtze River Basin Rainfall P. Bett et al. https://doi.org/10.1007/s00376-018-7210-y
612. Impacts of town characteristics on the changing urban climate in Vantaa O. Saranko et al. https://doi.org/10.1016/j.scitotenv.2020.138471
613. A description and evaluation of an air quality model nested within global and regional composition-climate models using MetUM L. Neal et al. https://doi.org/10.5194/gmd-10-3941-2017
614. Mitigation of drought negative effect on ecosystem productivity by vegetation mixing C. Van den Hoof & F. Lambert https://doi.org/10.1002/2016JG003625
615. VIC–CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions K. Malek et al. https://doi.org/10.5194/gmd-10-3059-2017
616. STORM 1.0: a simple, flexible, and parsimonious stochastic rainfall generator for simulating climate and climate change M. Singer et al. https://doi.org/10.5194/gmd-11-3713-2018
617. Future global water scarcity partially moderated by vegetation responses to rising CO2 J. Stacey et al. https://doi.org/10.5194/hess-30-4225-2026
618. Role of Earth system processes in the relationship between climate change and cumulative carbon emissions S. Liddicoat et al. https://doi.org/10.1038/s41467-026-72930-7
619. Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests B. Sakschewski et al. https://doi.org/10.5194/bg-18-4091-2021
620. Atmospheric Turbulent Intermittency Over the Arctic Sea‐Ice Surface During the MOSAiC Expedition C. Liu et al. https://doi.org/10.1029/2023JD038639
621. Evaluation of Drydown Processes in Global Land Surface and Hydrological Models Using Flux Tower Evapotranspiration A. Martínez-de la Torre et al. https://doi.org/10.3390/w11020356
622. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. https://doi.org/10.1007/s10584-020-02892-2
623. Gap filling of turbulent heat fluxes over rice–wheat rotation croplands using the random forest model J. Zhang et al. https://doi.org/10.5194/amt-16-2197-2023
624. Assessment of precipitation error propagation in multi-model global water resource reanalysis M. Ehsan Bhuiyan et al. https://doi.org/10.5194/hess-23-1973-2019
625. Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements A. Harper et al. https://doi.org/10.5194/gmd-14-3269-2021
626. The impact of changing the land surface scheme in ACCESS(v1.0/1.1) on the surface climatology E. Kowalczyk et al. https://doi.org/10.5194/gmd-9-2771-2016
627. Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information A. Harper et al. https://doi.org/10.5194/gmd-9-2415-2016
628. Process-level model evaluation: a snow and heat transfer metric A. Slater et al. https://doi.org/10.5194/tc-11-989-2017
629. The influence of plant soil moisture stress on solar-induced chlorophyll fluorescence efficiency across Africa K. Onkaew et al. https://doi.org/10.1080/01431161.2026.2618097
630. Coupling between the JULES land-surface scheme and the CCATT-BRAMS atmospheric chemistry model (JULES-CCATT-BRAMS1.0): applications to numerical weather forecasting and the CO2 budget in South America D. Moreira et al. https://doi.org/10.5194/gmd-6-1243-2013
631. Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics C. Eller et al. https://doi.org/10.1098/rstb.2017.0315
632. High Resolution Discharge Simulations Over Europe and the Baltic Sea Catchment S. Hagemann et al. https://doi.org/10.3389/feart.2020.00012
633. Scale‐Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling S. Liu et al. https://doi.org/10.1029/2022MS003567
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772. Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain J. Peng et al. https://doi.org/10.1016/j.rse.2021.112610
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774. Machine learning bias correction and downscaling of urban heatwave temperature predictions from kilometre to hectometre scale L. Blunn et al. https://doi.org/10.1002/met.2200
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778. Convective‐scale numerical weather prediction and warnings over Lake Victoria: Part I—Evaluating a lightning diagnostic M. Mittermaier et al. https://doi.org/10.1002/met.2038
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785. Unravelling the effect of species mixing on water use and drought stress in Mediterranean forests: A modelling approach M. De Cáceres et al. https://doi.org/10.1016/j.agrformet.2020.108233
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793. Influence of ENSO and the NAO on terrestrial carbon uptake in the Texas‐northern Mexico region N. Parazoo et al. https://doi.org/10.1002/2015GB005125
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796. A coupled eco-hydrological model to simulate vegetation condition from soil moisture deficit in a data-scarce semi-arid wetland M. Liu et al. https://doi.org/10.1016/j.ecolmodel.2025.111099
797. Assessing modelled methane emissions over northern wetlands by the JULES-HIMMELI model Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2025.179526
798. Australia-Asian monsoon in two versions of the UK Met Office Unified Model and their impacts on tropical–extratropical teleconnections L. Jin et al. https://doi.org/10.1007/s00382-019-04821-1
799. Quantifying Land Surface Temperature Variability for Two Sahelian Mesoscale Regions during the Wet Season M. De Kauwe et al. https://doi.org/10.1175/JHM-D-12-0141.1
800. Influence of aerosol radiative effects on surface temperature and snow melt in the Himalayan region A. Sharma et al. https://doi.org/10.1016/j.scitotenv.2021.151299
801. Kinematic GNSS Estimation of Zenith Wet Delay over a Range of Altitudes S. Webb et al. https://doi.org/10.1175/JTECH-D-14-00111.1
802. Seasonal Verification of Dust Forecast over the Indian Region H. Fatima et al. https://doi.org/10.1007/s00024-017-1629-4
803. Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product S. Hobeichi et al. https://doi.org/10.5194/hess-23-851-2019
804. WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application T. Sun et al. https://doi.org/10.5194/gmd-17-91-2024
805. A Flexible Snow Model (FSM 2.1.1) including a forest canopy R. Essery et al. https://doi.org/10.5194/gmd-18-3583-2025
806. Quantifying the observational requirements of a space-borne LiDAR snow mission Y. Kwon et al. https://doi.org/10.1016/j.jhydrol.2021.126709
807. K-ACE2: Model Overview and Evaluation of Pre-industrial Climate H. Lee et al. https://doi.org/10.1007/s13143-026-00455-6
808. A simplified, data-constrained approach to estimate the permafrost carbon–climate feedback C. Koven et al. https://doi.org/10.1098/rsta.2014.0423
809. The Impact of Wave Model Source Terms and Coupling Strategies to Rapidly Developing Waves across the North-West European Shelf during Extreme Events N. Valiente et al. https://doi.org/10.3390/jmse9040403
810. A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models K. Harper et al. https://doi.org/10.5194/essd-15-1465-2023
811. Mechanisms of decadal variability in the Labrador Sea and the wider North Atlantic in a high-resolution climate model P. Ortega et al. https://doi.org/10.1007/s00382-016-3467-y
812. Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment A. Koutroulis et al. https://doi.org/10.3390/w10101331
813. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. https://doi.org/10.1029/2022JG007074
814. How Well Can the Met Office Unified Model Forecast Tropical Cyclones in the Western North Pacific? C. Short & J. Petch https://doi.org/10.1175/WAF-D-17-0069.1
815. Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data G. Mazzotti et al. https://doi.org/10.1029/2019WR024898
816. Projected increases in potential groundwater recharge and reduced evapotranspiration under future climate conditions in West Africa P. Cook et al. https://doi.org/10.1016/j.ejrh.2022.101076
817. The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2 V. Vionnet et al. https://doi.org/10.5194/gmd-5-773-2012
818. Large-scale dynamics moderate impact-relevant changes to organised convective storms S. Chan et al. https://doi.org/10.1038/s43247-022-00669-2
819. Spatial patterns and environmental constraints on ecosystem services at a catchment scale B. Emmett et al. https://doi.org/10.1016/j.scitotenv.2016.04.004
820. Sensitivity of near‐surface marine winds and wind stress in coastal Antarctica to regional atmospheric model configuration T. Caton Harrison et al. https://doi.org/10.1002/qj.5019
821. Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data‐model intercomparison N. Restrepo‐Coupe et al. https://doi.org/10.1111/gcb.13442
822. Uncertainties in the global temperature change caused by carbon release from permafrost thawing E. Burke et al. https://doi.org/10.5194/tc-6-1063-2012
823. Hectometric-scale modelling of the mixed layer in an urban region evaluated with a dense LiDAR-ceilometer network R. Glazer et al. https://doi.org/10.5194/wcd-6-1723-2025
824. A simple method for integrating a complex model into an ensemble data assimilation system using MPI P. Browne & S. Wilson https://doi.org/10.1016/j.envsoft.2015.02.003
825. Ozone transport and thermodynamics during the passage of squall line in Central Amazon A. Melo et al. https://doi.org/10.1016/j.atmosenv.2019.02.018
826. Quantifying Regional Fresh Submarine Groundwater Discharge With the Lumped Modeling Approach CoCa‐RFSGD M. Hajati et al. https://doi.org/10.1029/2018WR024248
827. Modelling impacts of ozone on gross primary production across European forest ecosystems using JULES I. Vieira et al. https://doi.org/10.5194/bg-22-6205-2025
828. Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model A. Jayakumar et al. https://doi.org/10.1007/s00382-016-3423-x
829. Hectometric urban climate modelling over a tropical city P. Patel et al. https://doi.org/10.1002/qj.5075
830. How evaluation of hydrological models influences results of climate impact assessment—an editorial V. Krysanova et al. https://doi.org/10.1007/s10584-020-02927-8
831. The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone T. Leung et al. https://doi.org/10.1002/qj.4309
832. Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic E. Kantzas et al. https://doi.org/10.5194/gmd-8-2597-2015
833. Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River D. Durnford et al. https://doi.org/10.1175/BAMS-D-16-0155.1
834. Why Do Models Produce Spread in Snow Albedo Feedback? C. Thackeray et al. https://doi.org/10.1029/2018GL078493
835. Atmospheric impacts of local sea surface temperatures versus remote drivers during strong South China Sea winter cold tongue events M. Seow et al. https://doi.org/10.1002/qj.4423
836. A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves C. Montzka et al. https://doi.org/10.5194/essd-9-529-2017
837. Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2 L. Rezende et al. https://doi.org/10.1007/s00484-015-1087-6
838. Last glacial maximum constraints on the Earth System model HadGEM2-ES P. Hopcroft & P. Valdes https://doi.org/10.1007/s00382-014-2421-0
839. Assessment and Reduction of the Physical Parameterization Uncertainty for Noah‐MP Land Surface Model Y. Gan et al. https://doi.org/10.1029/2019WR024814
840. High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. https://doi.org/10.1029/2021JD034787
841. Physically based modelling of glacier evolution under climate change in the tropical Andes J. Mackay et al. https://doi.org/10.5194/tc-19-685-2025
842. Application of the Davies four-stage conceptual model for life-threatening rainfall extremes on the April 2024 United Arab Emirates and Oman floods P. Davies et al. https://doi.org/10.1016/j.wace.2025.100846
843. Simulated high-latitude soil thermal dynamics during the past 4 decades S. Peng et al. https://doi.org/10.5194/tc-10-179-2016
844. A Comparative Analysis of TRMM–Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall–Runoff Modeling Applications D. Nerini et al. https://doi.org/10.1175/JHM-D-14-0197.1
845. Impacts of leaf traits on vegetation optical properties in Earth system modeling Y. Wang et al. https://doi.org/10.1038/s41467-025-60149-x
846. Antarctic Verification of the Australian Numerical Weather Prediction Model B. Schroeter et al. https://doi.org/10.1175/WAF-D-18-0171.1
847. GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. https://doi.org/10.5194/gmd-14-7545-2021
848. Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions S. Chadburn et al. https://doi.org/10.1029/2020GB006678
849. Winter wheat yield responses to extreme heat in the North China Plain: GGCMI-AgMIP model evaluation and a heat-stress phenology improvement in JULES-crop L. You et al. https://doi.org/10.1016/j.agrformet.2026.111404
850. Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models H. Yang et al. https://doi.org/10.1002/2015JD023129
851. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. https://doi.org/10.1007/s00703-020-00760-3
852. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. https://doi.org/10.5194/hess-28-2081-2024
853. Building a Multimodel Flood Prediction System with the TIGGE Archive E. Zsótér et al. https://doi.org/10.1175/JHM-D-15-0130.1
854. A Numerical Model for Integrated Form of Richards Equation J. He et al. https://doi.org/10.1002/hyp.70396
855. Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. https://doi.org/10.5194/hess-25-1617-2021
856. Modeling the Partitioning of Turbulent Fluxes at Urban Sites with Varying Vegetation Cover M. Best & C. Grimmond https://doi.org/10.1175/JHM-D-15-0126.1
857. Seasonal Rainfall Forecasts for the Yangtze River Basin of China in Summer 2019 from an Improved Climate Service P. Bett et al. https://doi.org/10.1007/s13351-020-0049-z
858. Potential shifts in climate zones under a future global warming scenario using soil moisture classification M. Li et al. https://doi.org/10.1007/s00382-020-05576-w
859. Reduced productivity and carbon drawdown of tropical forests from ground-level ozone exposure A. Cheesman et al. https://doi.org/10.1038/s41561-024-01530-1
860. Evaluation of boundary‐layer type in a weather forecast model utilizing long‐term Doppler lidar observations N. Harvey et al. https://doi.org/10.1002/qj.2444
861. Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models L. Zhang et al. https://doi.org/10.1016/j.atmosres.2022.106502
862. What are the prospects for seasonal prediction of the marine environment of the North-west European Shelf? J. Tinker et al. https://doi.org/10.5194/os-14-887-2018
863. Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model E. Pinnington et al. https://doi.org/10.5194/hess-22-2575-2018
864. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al. https://doi.org/10.1175/JHM-D-15-0063.1
865. Pedotransfer Functions in Earth System Science: Challenges and Perspectives K. Van Looy et al. https://doi.org/10.1002/2017RG000581
866. Extending the utility of space-borne snow water equivalent observations over vegetated areas with data assimilation J. Pflug et al. https://doi.org/10.5194/hess-28-631-2024
867. The Impact of Climate, CO2 and Population on Regional Food and Water Resources in the 2050s A. Wiltshire et al. https://doi.org/10.3390/su5052129
868. Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets R. Wartenburger et al. https://doi.org/10.1088/1748-9326/aac4bb
869. Model inter-comparison for short-range forecasts over the southern African domain P. Mulovhedzi et al. https://doi.org/10.17159/sajs.2021/8581
870. Operational snow-hydrological modeling for Switzerland R. Mott et al. https://doi.org/10.3389/feart.2023.1228158
871. Prediction of slowdown of the Atlantic Meridional Overturning Circulation in coupled model simulations K. Yamazaki et al. https://doi.org/10.1007/s00382-024-07159-5
872. The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia E. Black et al. https://doi.org/10.3390/rs8040342
873. The Meteorology of the Tathra Bushfire D. Wilke et al. https://doi.org/10.1175/WAF-D-21-0084.1
874. Km-scale regional coupled system in the Northwest European shelf for weather and climate applications: RCS-UKC4 S. Berthou et al. https://doi.org/10.5194/gmd-19-8535-2026
875. Evaluating the carbon and nitrogen cycles of the QUINCY terrestrial biosphere model using space-born optical remotely-sensed data T. Miinalainen et al. https://doi.org/10.5194/bg-22-6937-2025
876. Reconciling Precipitation with Runoff: Observed Hydrological Change in the Midlatitudes J. Osborne et al. https://doi.org/10.1175/JHM-D-15-0055.1
877. Modeling Groundwater-Soil-Plant-Atmosphere Exchanges in Fractured Porous Media A. Ireson et al. https://doi.org/10.1016/j.proenv.2013.06.037
878. Assessing combinations of regional MCB designed to target multiple climate response objectives A. Mason et al. https://doi.org/10.5194/acp-26-10861-2026
879. Deep instability of deforested tropical peatlands revealed by fluvial organic carbon fluxes S. Moore et al. https://doi.org/10.1038/nature11818
880. Are convection‐permitting climate projections reliable for urban planning over Africa? A case study of Johannesburg W. Keat et al. https://doi.org/10.1002/asl.1264
881. Machine Learning Emulation of Urban Land Surface Processes D. Meyer et al. https://doi.org/10.1029/2021MS002744
882. The phenology of leaf quality and its within‐canopy variation is essential for accurate modeling of photosynthesis in tropical evergreen forests J. Wu et al. https://doi.org/10.1111/gcb.13725
883. How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0? K. Williams et al. https://doi.org/10.5194/gmd-12-3207-2019
884. A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands S. Chadburn et al. https://doi.org/10.5194/gmd-15-1633-2022
885. Evaluation of snow conditions modelling for various LCZ types G. Colas & V. Masson https://doi.org/10.1016/j.uclim.2025.102767
886. Characteristics and trends of rainstorm activities and their impacts on seasonal vegetation variations in coastal China J. Li et al. https://doi.org/10.1016/j.ecolind.2022.108851
887. Inequality in human exposure to future climate extremes P. Hosseinzadehtalaei et al. https://doi.org/10.1038/s41467-025-63385-3
888. Spatially-varying parametrization of the Total Runoff Integrating Pathways (TRIP) scheme for improved river routing at the global scale A. Tsilimigkras et al. https://doi.org/10.1016/j.jhydrol.2025.133477
889. The influence of 3D canopy structure on modelled photosynthesis M. Stretton et al. https://doi.org/10.1016/j.agrformet.2025.110437
890. Empirical modeling and spatio-temporal patterns of urban evapotranspiration for the Phoenix metropolitan area, Arizona C. Wang et al. https://doi.org/10.1080/15481603.2016.1243399
891. Quantifying uncertainties of permafrost carbon–climate feedbacks E. Burke et al. https://doi.org/10.5194/bg-14-3051-2017
892. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. https://doi.org/10.5194/essd-13-4385-2021
893. A dynamical systems analysis of the data assimilation linked ecosystem carbon (DALEC) models A. Chuter et al. https://doi.org/10.1063/1.4897912
894. The interactions between soil–biosphere–atmosphere land surface model with a multi-energy balance (ISBA-MEB) option in SURFEXv8 – Part 1: Model description A. Boone et al. https://doi.org/10.5194/gmd-10-843-2017
895. Numerical modelling of the evolution of the boundary layer during a radiation fog event D. Smith et al. https://doi.org/10.1002/wea.3305
896. Description and evaluation of the Diat-HadOCC model v1.0: the ocean biogeochemical component of HadGEM2-ES I. Totterdell https://doi.org/10.5194/gmd-12-4497-2019
897. Large uncertainty in carbon uptake potential of land‐based climate‐change mitigation efforts A. Krause et al. https://doi.org/10.1111/gcb.14144
898. MODIS-based climatology of the Surface Urban Heat Island at country scale (Romania) S. Cheval et al. https://doi.org/10.1016/j.uclim.2021.101056
899. Two Random Forest Models for the Non‐Iterative Parametrization of Surface‐Layer Turbulent Fluxes Y. Yu et al. https://doi.org/10.1029/2023GL105923
900. South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management L. Nagy et al. https://doi.org/10.1080/17550874.2023.2196966
901. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. https://doi.org/10.5194/gmd-15-5567-2022
902. Application of feedback control to stomatal optimisation in a global land surface model S. Jones et al. https://doi.org/10.3389/fenvs.2022.970266
903. Locally forced convection in subkilometre‐scale simulations with the Unified Model and WRF M. Jucker et al. https://doi.org/10.1002/qj.3855
904. Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation A. Argles et al. https://doi.org/10.1038/s41598-023-39810-2
905. Urban morphology clustering analysis to identify heat-prone neighbourhoods in cities B. Sützl et al. https://doi.org/10.1016/j.scs.2024.105360
906. A soil moisture accounting-procedure with a Richards' equation-based soil texture-dependent parameterization S. Mathias et al. https://doi.org/10.1002/2014WR016144
907. Uncertainties in carbon emissions from land use and land cover change in Indonesia I. Brasika et al. https://doi.org/10.5194/bg-22-3547-2025
908. Coupled Atmosphere‐Fire Simulations of the Black Saturday Kilmore East Wildfires With the Unified Model J. Toivanen et al. https://doi.org/10.1029/2017MS001245
909. COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research H. Cooper et al. https://doi.org/10.5194/essd-13-1737-2021
910. A critical assessment of the JULES land surface model hydrology for humid tropical environments Z. Zulkafli et al. https://doi.org/10.5194/hess-17-1113-2013
911. Implementation of a dry surface layer soil resistance in two contrasting semi-arid sites with SURFEX-ISBA V9.0 B. Martí et al. https://doi.org/10.5194/gmd-19-1991-2026
912. Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models M. Johnson et al. https://doi.org/10.1111/gcb.13315
913. The Effect of Soil Moisture Perturbations on Indian Monsoon Depressions in a Numerical Weather Prediction Model K. Hunt & A. Turner https://doi.org/10.1175/JCLI-D-16-0733.1
914. A seamless assessment of the role of convection in the water cycle of the West African Monsoon C. Birch et al. https://doi.org/10.1002/2013JD020887
915. Insights into Decadal North Atlantic Sea Surface Temperature and Ocean Heat Content Variability from an Eddy-Permitting Coupled Climate Model B. Moat et al. https://doi.org/10.1175/JCLI-D-18-0709.1
916. Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling G. Weedon et al. https://doi.org/10.1016/j.jhydrol.2023.130104
917. How much should we believe correlations between Arctic cyclones and sea ice extent? J. Rae et al. https://doi.org/10.5194/tc-11-3023-2017
918. The role of mid‐tropospheric moistening and land‐surface wetting in the progression of the 2016 Indian monsoon A. Menon et al. https://doi.org/10.1002/qj.4183
919. Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. https://doi.org/10.5194/gmd-16-2323-2023
920. Global Carbon Budget 2015 C. Le Quéré et al. https://doi.org/10.5194/essd-7-349-2015
921. New pedotransfer functions for soil water retention curves that better account for bulk density effects Z. Tian et al. https://doi.org/10.1016/j.still.2020.104812
922. Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models A. Tiwari et al. https://doi.org/10.1038/s44221-025-00435-6
923. The overestimated negative temperature sensitivity of the carbon sink in ecosystem models S. Zhu et al. https://doi.org/10.1007/s11707-025-1174-x
924. Numerical Evaluation of JULES Surface Tiling Scheme with High-Resolution Atmospheric Forcing and Land Cover Data J. Park et al. https://doi.org/10.2151/sola.2018-004
925. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. https://doi.org/10.1016/j.jhydrol.2023.129607
926. Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. https://doi.org/10.5194/hess-26-4323-2022
927. Soil moisture and hydrology projections of the permafrost region – a model intercomparison C. Andresen et al. https://doi.org/10.5194/tc-14-445-2020
928. Multi-model ensemble projections of soil moisture drought over North Africa and the Sahel region under 1.5, 2, and 3 °C global warming A. Elkouk et al. https://doi.org/10.1007/s10584-021-03202-0
929. Representing Variability in Subgrid Snow Cover and Snow Depth in a Global Land Model: Offline Validation T. Nitta et al. https://doi.org/10.1175/JCLI-D-13-00310.1
930. Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. https://doi.org/10.1175/JHM-D-17-0074.1
931. Attributing human influence on the July 2017 Chinese heatwave: the influence of sea-surface temperatures S. Sparrow et al. https://doi.org/10.1088/1748-9326/aae356
932. The Chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research K. Longo et al. https://doi.org/10.5194/gmd-6-1389-2013
933. Impact of model developments on present and future simulations of permafrost in a global land-surface model S. Chadburn et al. https://doi.org/10.5194/tc-9-1505-2015
934. Climate impact on mean annual cycle and interannual variability of CO2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models A. Ullah et al. https://doi.org/10.5194/bg-22-4135-2025
935. Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) O. Morgenstern et al. https://doi.org/10.5194/gmd-10-639-2017
936. Evaluation of a Land Surface–Glacier Coupled Model over the Three-River Headwaters Region in the Qinghai–Tibet Plateau S. Li & X. Yuan https://doi.org/10.3390/w18091030
937. The Met Office Unified Model Global Atmosphere 8.0 and JULES Global Land 9.0 configurations M. Willett et al. https://doi.org/10.5194/gmd-19-1473-2026
938. How sensitive are Sahelian mesoscale convective systems to cold‐pool suppression? B. Maybee et al. https://doi.org/10.1002/qj.5032
939. The Birmingham Urban Climate Laboratory: An Open Meteorological Test Bed and Challenges of the Smart City L. Chapman et al. https://doi.org/10.1175/BAMS-D-13-00193.1
940. Land-surface parameter optimisation using data assimilation techniques: the adJULES system V1.0 N. Raoult et al. https://doi.org/10.5194/gmd-9-2833-2016
941. Synoptic‐scale and mesoscale controls for tornadogenesis on cold fronts: A tornadic cold front in amplifying northwesterly flow M. Clark https://doi.org/10.1002/qj.4465
942. The impact of a simple representation of non-structural carbohydrates on the simulated response of tropical forests to drought S. Jones et al. https://doi.org/10.5194/bg-17-3589-2020
943. Dynamic biotic controls of leaf thermoregulation across the diel timescale Z. Guo et al. https://doi.org/10.1016/j.agrformet.2022.108827
944. CO 2 loss by permafrost thawing implies additional emissions reductions to limit warming to 1.5 or 2 °C E. Burke et al. https://doi.org/10.1088/1748-9326/aaa138
945. Assessing vulnerability of agriculture system to climate change in the SAARC region R. Singh & M. Kumar https://doi.org/10.1016/j.envc.2021.100398
946. Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model P. Levy https://doi.org/10.5194/hess-28-4819-2024
947. Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
948. Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice G. Colas et al. https://doi.org/10.5194/gmd-18-3453-2025
949. Plant water potential improves prediction of empirical stomatal models W. Anderegg et al. https://doi.org/10.1371/journal.pone.0185481
950. Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation N. Nishant et al. https://doi.org/10.1088/1748-9326/ace463
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