783 citations as recorded by crossref.

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4. 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
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
6. 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
7. 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
8. 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
9. 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
10. Ecosystem climate sensitivities drive the divergence in aerosol-induced carbon uptake across CMIP6 models Z. Zhang et al. https://doi.org/10.5194/gmd-19-5363-2026
11. 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
12. Added value of dynamical downscaling in sub-seasonal tropical cyclone forecast T. Kim et al. https://doi.org/10.1016/j.atmosres.2026.108988
13. 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
14. 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
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21. Including prescribed burning in fire modelling: A case study from the Brazilian Cerrado using the JULES-INFERNO model R. da Veiga et al. https://doi.org/10.1016/j.pyro.2026.100006
22. 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
23. 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
24. The Local Biophysical Response to Land-Use Change in HadGEM2-ES E. Robertson https://doi.org/10.1175/JCLI-D-18-0738.1
25. Showcasing urban heat island work in Birmingham – measuring, monitoring, modelling and more C. Tomlinson et al. https://doi.org/10.1002/wea.1998
26. Modeling the carbon cost of plant nitrogen acquisition: Mycorrhizal trade-offs and multipath resistance uptake improve predictions of retranslocation E. Brzostek et al. https://doi.org/10.1002/2014JG002660
27. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. https://doi.org/10.5194/acp-19-13017-2019
28. 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
29. Explainable global wildfire prediction model using graph neural networks D. Chen et al. https://doi.org/10.1016/j.geoai.2026.100052
30. Earth Observation-Driven Inference for Level-4 Terrestrial Products: Process-Based, Machine Learning, and Hybrid Frameworks J. Verrelst & P. Reyes-Muñoz https://doi.org/10.3390/rs18142371
31. Underestimation of Global Photosynthesis in Earth System Models Due to Representation of Vegetation Structure R. Braghiere et al. https://doi.org/10.1029/2018GB006135
32. High‐resolution global climate simulations: Representation of cities D. Hertwig et al. https://doi.org/10.1002/joc.7018
33. 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
34. Historical trends and controlling factors of isoprene emissions in CMIP6 Earth system models N. Do et al. https://doi.org/10.5194/gmd-18-2079-2025
35. 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
36. Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models A. Brunmayr et al. https://doi.org/10.5194/gmd-17-5961-2024
37. Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. https://doi.org/10.1111/gcb.16503
38. Plant Regrowth as a Driver of Recent Enhancement of Terrestrial CO2 Uptake M. Kondo et al. https://doi.org/10.1029/2018GL077633
39. Quantifying sources of Brazil's CH4 emissions between 2010 and 2018 from satellite data R. Tunnicliffe et al. https://doi.org/10.5194/acp-20-13041-2020
40. Large but decreasing effect of ozone on the European carbon sink R. Oliver et al. https://doi.org/10.5194/bg-15-4245-2018
41. 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
42. 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
43. Data‐driven estimates of global litter production imply slower vegetation carbon turnover Y. He et al. https://doi.org/10.1111/gcb.15515
44. Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America W. He et al. https://doi.org/10.1016/j.agrformet.2020.108292
45. Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. https://doi.org/10.1002/hyp.13767
46. The Montreal Protocol protects the terrestrial carbon sink P. Young et al. https://doi.org/10.1038/s41586-021-03737-3
47. 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
48. 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
49. 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
50. On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes Y. Wang & C. Frankenberg https://doi.org/10.5194/bg-19-29-2022
51. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. https://doi.org/10.1029/2019GB006393
52. 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
53. African shrub distribution emerges via a trade‐off between height and sapwood conductivity C. Gaillard et al. https://doi.org/10.1111/jbi.13447
54. 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
55. Evaluating the Atibaia River hydrology using JULES6.1 H. Chou et al. https://doi.org/10.5194/gmd-15-5233-2022
56. 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
57. 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
58. Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2 A. Friend et al. https://doi.org/10.1073/pnas.1222477110
59. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data A. Petrescu et al. https://doi.org/10.5194/essd-12-961-2020
60. Assessing uncertainties in modeling the climate of the Siberian frozen soils by contrasting CMIP6 and LS3MIP Z. Luo et al. https://doi.org/10.5194/tc-19-6547-2025
61. 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
62. 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
63. Evaluation and validation of TAMSAT‐ALERT soil moisture and WRSI for use in drought anticipatory action V. Boult et al. https://doi.org/10.1002/met.1959
64. Root mass carbon costs to acquire nitrogen are determined by nitrogen and light availability in two species with different nitrogen acquisition strategies E. Perkowski et al. https://doi.org/10.1093/jxb/erab253
65. Model behavior of arbuscular mycorrhizal fungi: predicting soil carbon dynamics under climate change K. Treseder https://doi.org/10.1139/cjb-2015-0245
66. 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
67. 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
68. Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model R. Srinet et al. https://doi.org/10.1016/j.ecolmodel.2022.110185
69. A synthetic experiment to investigate the potential of assimilating LAI through direct insertion in a land surface model A. Rahman et al. https://doi.org/10.1016/j.hydroa.2020.100063
70. Impact of leaf area index from various sources on estimating gross primary production in temperate forests using the JULES land surface model H. Lee et al. https://doi.org/10.1016/j.agrformet.2019.107614
71. Partitioning global land evapotranspiration using CMIP5 models constrained by observations X. Lian et al. https://doi.org/10.1038/s41558-018-0207-9
72. An enhanced forest classification scheme for modeling vegetation–climate interactions based on national forest inventory data T. Majasalmi et al. https://doi.org/10.5194/bg-15-399-2018
73. A Method to Estimate Clear-Sky Albedo of Paddy Rice Fields T. Sun et al. https://doi.org/10.3390/rs14205185
74. 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
75. The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink A. Ahlström et al. https://doi.org/10.1126/science.aaa1668
76. Global Carbon Budget 2017 C. Le Quéré et al. https://doi.org/10.5194/essd-10-405-2018
77. Simulating the climate response to atmospheric oxygen variability in the Phanerozoic: a focus on the Holocene, Cretaceous and Permian D. Wade et al. https://doi.org/10.5194/cp-15-1463-2019
78. Methane removal and the proportional reductions in surface temperature and ozone S. Abernethy et al. https://doi.org/10.1098/rsta.2021.0104
79. 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
80. 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
81. Overview of the Large-Scale Biosphere–Atmosphere Experiment in Amazonia Data Model Intercomparison Project (LBA-DMIP) L. de Gonçalves et al. https://doi.org/10.1016/j.agrformet.2013.04.030
82. Amazon forest structure generates diurnal and seasonal variability in light utilization D. Morton et al. https://doi.org/10.5194/bg-13-2195-2016
83. 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
84. A derivation error that affects carbon balance models exists in the current implementation of the modified Arrhenius function B. Murphy & J. Stinziano https://doi.org/10.1111/nph.16883
85. 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
86. 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
87. Exploring the ecological constraints to multiple ecosystem service delivery and biodiversity L. Maskell et al. https://doi.org/10.1111/1365-2664.12085
88. 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
89. Prediction of fog/visibility over India using NWP Model A. Singh et al. https://doi.org/10.1007/s12040-018-0927-2
90. 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
91. Development of the DO3SE-Crop model to assess ozone effects on crop phenology, biomass, and yield P. Pande et al. https://doi.org/10.5194/bg-22-181-2025
92. Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5°C and 2°C global warming with a higher-resolution global climate model R. Betts et al. https://doi.org/10.1098/rsta.2016.0452
93. 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
94. 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
95. Quantifying the contributions of agricultural oasis expansion, management practices and climate change to net primary production and evapotranspiration in croplands in arid northwest China J. Bai et al. https://doi.org/10.1016/j.jaridenv.2013.10.004
96. 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
97. When do clouds and aerosols lead to higher canopy photosynthesis? K. van Diepen et al. https://doi.org/10.1016/j.agrformet.2025.110597
98. Impact of assimilation of microwave imager radiance data on simulation of tropical cyclones over the Bay of Bengal using the NCUM‐R modelling system A. Routray et al. https://doi.org/10.1002/qj.4984
99. Quantifying the relative importance of land cover change from climate and land use in the representative concentration pathways T. Davies‐Barnard et al. https://doi.org/10.1002/2014GB004949
100. 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
101. Fire weakens land carbon sinks before 1.5 °C C. Burton et al. https://doi.org/10.1038/s41561-024-01554-7
102. 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
103. 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
104. 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
105. Conditions for instability in the climate–carbon cycle system J. Clarke et al. https://doi.org/10.5194/esd-16-2087-2025
106. 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
107. Parameter optimization for carbon and water fluxes in two global land surface models based on surrogate modelling J. Li et al. https://doi.org/10.1002/joc.5428
108. Indications of Surface and Sub-Surface Hydrologic Properties from SMAP Soil Moisture Retrievals P. Dirmeyer & H. Norton https://doi.org/10.3390/hydrology5030036
109. The crucial roles of mitochondria in supporting C4 photosynthesis Y. Fan et al. https://doi.org/10.1111/nph.17818
110. Sensitivity of land use change emission estimates to historical land use and land cover mapping S. Peng et al. https://doi.org/10.1002/2015GB005360
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112. 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
113. 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
114. Impact of model upgrades on diabatic processes in extratropical cyclones and downstream forecast evolution J. Maddison et al. https://doi.org/10.1002/qj.3739
115. 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
116. Amplification of ENSO-driven vegetation variability at decadal and longer timescales N. Fahrenbach & R. Wills https://doi.org/10.5194/esd-17-987-2026
117. Abrupt changes in Great Britain vegetation carbon projected under climate change C. Boulton et al. https://doi.org/10.1111/gcb.15144
118. 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
119. 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
120. 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
121. 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
122. 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
123. Impact of assimilation of DWR reflectivity and radial velocity on simulation of active monsoon precipitation over Indian region D. Dutta et al. https://doi.org/10.1080/01431161.2025.2457133
124. 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
125. Uncertainty in Land Carbon Fluxes Simulated by CMIP6 Models from Treatments of Crop Distributions and Photosynthetic Pathways J. Ovwemuvwose et al. https://doi.org/10.5194/bg-23-5593-2026
126. Large sensitivity in land carbon storage due to geographical and temporal variation in the thermal response of photosynthetic capacity L. Mercado et al. https://doi.org/10.1111/nph.15100
127. 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
128. Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 J. Exbrayat et al. https://doi.org/10.5194/gmd-7-2683-2014
129. 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
130. Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) description and evaluation J. Eylander et al. https://doi.org/10.1016/j.envsoft.2022.105606
131. 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
132. More green and less blue water in the Alps during warmer summers T. Mastrotheodoros et al. https://doi.org/10.1038/s41558-019-0676-5
133. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall https://doi.org/10.5194/gmd-14-5863-2021
134. Considerable Uncertainties in Simulating Land Carbon Sinks Induced by Different Precipitation Products M. Wang et al. https://doi.org/10.1029/2021JG006524
135. 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
136. 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
137. 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
138. Increased importance of methane reduction for a 1.5 degree target W. Collins et al. https://doi.org/10.1088/1748-9326/aab89c
139. Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates H. Yang et al. https://doi.org/10.1111/gcb.15117
140. Evaluation of leaf-level optical properties employed in land surface models T. Majasalmi & R. Bright https://doi.org/10.5194/gmd-12-3923-2019
141. Estimation of Permafrost SOC Stock and Turnover Time Using a Land Surface Model With Vertical Heterogeneity of Permafrost Soils S. Shu et al. https://doi.org/10.1029/2020GB006585
142. 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
143. 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
144. Climate-Induced Shifts in Global Soil Temperature Regimes M. Grillakis et al. https://doi.org/10.1097/SS.0000000000000156
145. Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India A. Lodh et al. https://doi.org/10.1002/met.70019
146. Cryptic phenology in plants: Case studies, implications, and recommendations L. Albert et al. https://doi.org/10.1111/gcb.14759
147. Monitoring drought in Ghana using TAMSAT‐ALERT: a new decision support system M. Brown et al. https://doi.org/10.1002/wea.3033
148. 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
149. 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
150. 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
151. 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
152. 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
153. Simulated resilience of tropical rainforests to CO2-induced climate change C. Huntingford et al. https://doi.org/10.1038/ngeo1741
154. 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
155. Comparing optimal and empirical stomatal conductance models for application in Earth system models P. Franks et al. https://doi.org/10.1111/gcb.14445
156. 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
157. 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
158. Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region S. Patel et al. https://doi.org/10.1002/met.70037
159. An improved representation of the relationship between photosynthesis and stomatal conductance leads to more stable estimation of conductance parameters and improves the goodness‐of‐fit across diverse data sets J. Lamour et al. https://doi.org/10.1111/gcb.16103
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161. Cultivating C4 crops in a changing climate: sugarcane in Ghana E. Black et al. https://doi.org/10.1088/1748-9326/7/4/044027
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187. Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites A. Collalti et al. https://doi.org/10.5194/gmd-9-479-2016
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190. Seeing the Canopy for the Branches: Improved Within Canopy Scaling of Leaf Nitrogen E. Butler et al. https://doi.org/10.1029/2020MS002237
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211. 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
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239. Do we (need to) care about canopy radiation schemes in DGVMs? Caveats and potential impacts A. Loew et al. https://doi.org/10.5194/bg-11-1873-2014
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246. Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand? A. Paschalis et al. https://doi.org/10.1111/gcb.15024
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254. Effects of Incorporating Measured Leaf Optical Properties in Land Surface Models W. Dong et al. https://doi.org/10.3389/feart.2021.663917
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259. Calibration and Validation of a Detailed Architectural Canopy Model Reconstruction for the Simulation of Synthetic Hemispherical Images and Airborne LiDAR Data M. Bremer et al. https://doi.org/10.3390/rs9030220
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264. Sources of interannual yield variability in JULES-crop and implications for forcing with seasonal weather forecasts K. Williams & P. Falloon https://doi.org/10.5194/gmd-8-3987-2015
265. Characteristics and atmospheric drivers of large‐scale agrometeorologically relevant dry spells in sub‐seasonal to seasonal timescales over Zimbabwe G. Masukwedza et al. https://doi.org/10.1002/met.70039
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268. Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale R. Rosolem et al. https://doi.org/10.5194/hess-18-4363-2014
269. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2018JG004472
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275. UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al. https://doi.org/10.5194/gmd-15-9177-2022
276. Improving the prediction of monsoon depressions by assimilating ASCAT soil moisture in NCUM-R modeling system A. Lodh et al. https://doi.org/10.1016/j.atmosres.2022.106130
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289. Spatializing Net Ecosystem Exchange in the Brazilian Amazon biome using the JULES model and vegetation properties A. Prudente Jr. et al. https://doi.org/10.5194/bg-23-1771-2026
290. Increasing impact of warm droughts on northern ecosystem productivity over recent decades D. Gampe et al. https://doi.org/10.1038/s41558-021-01112-8
291. A Data‐Driven Global Soil Heterotrophic Respiration Dataset and the Drivers of Its Inter‐Annual Variability Y. Yao et al. https://doi.org/10.1029/2020GB006918
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293. Biotic responses buffer warming‐induced soil organic carbon loss in Arctic tundra J. Liang et al. https://doi.org/10.1111/gcb.14325
294. Evaluation of Simulated Snow and Snowmelt Timing in the Community Land Model Using Satellite‐Based Products and Streamflow Observations A. Toure et al. https://doi.org/10.1029/2018MS001389
295. JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1 E. Littleton et al. https://doi.org/10.5194/gmd-13-1123-2020
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298. Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions X. Cai et al. https://doi.org/10.5194/gmd-9-1-2016
299. Simulation of an orographic gravity wave above the Amazon rainforest and its influence on gases transport near the surface E. Moraes et al. https://doi.org/10.1016/j.atmosres.2022.106349
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303. Tracing carbon dynamics during vegetation succession in a subtropical forest L. Chen et al. https://doi.org/10.1111/1365-2745.70319
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305. Description and validation of the Simple, Efficient, Dynamic, Global, Ecological Simulator (SEDGES v.1.0) P. Paiewonsky & O. Elison Timm https://doi.org/10.5194/gmd-11-861-2018
306. Modeling the Carbon Cost of Plant Nitrogen and Phosphorus Uptake Across Temperate and Tropical Forests K. Allen et al. https://doi.org/10.3389/ffgc.2020.00043
307. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. https://doi.org/10.5194/gmd-10-4665-2017
308. Non-flooded riparian Amazon trees are a regionally significant methane source V. Gauci et al. https://doi.org/10.1098/rsta.2020.0446
309. Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. https://doi.org/10.5194/hess-26-3151-2022
310. Climate change impacts plant carbon balance, increasing mean future carbon use efficiency but decreasing total forest extent at dry range edges J. Mathias et al. https://doi.org/10.1111/ele.13945
311. Long term simulations of macronutrients (C, N and P) in UK freshwaters V. Bell et al. https://doi.org/10.1016/j.scitotenv.2021.145813
312. Modelling climate change responses in tropical forests: similar productivity estimates across five models, but different mechanisms and responses L. Rowland et al. https://doi.org/10.5194/gmd-8-1097-2015
313. A vertical representation of soil carbon in the JULES land surface scheme (vn4.3_permafrost) with a focus on permafrost regions E. Burke et al. https://doi.org/10.5194/gmd-10-959-2017
314. Aerosol optical depth thresholds as a tool to assess diffuse radiation fertilization of the land carbon uptake in China X. Yue & N. Unger https://doi.org/10.5194/acp-17-1329-2017
315. Low sensitivity of gross primary production to elevated CO2 in a mature eucalypt woodland J. Yang et al. https://doi.org/10.5194/bg-17-265-2020
316. Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015 E. Blyth et al. https://doi.org/10.1177/0309133319841891
317. Joint assimilation of satellite soil moisture and vegetation conditions improves estimates of gross primary production and evapotranspiration over South Asia A. Chakraborty & M. Saharia https://doi.org/10.1016/j.agrformet.2025.110765
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358. Adenylate control contributes to thermal acclimation of sugar maple fine‐root respiration in experimentally warmed soil M. Jarvi & A. Burton https://doi.org/10.1111/pce.13098
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360. UCanWBGT: urban street canyon heat stress calculation for weather and climate models J. Shonk et al. https://doi.org/10.1002/qj.70082
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438. Land use change and El Niño-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia M. Kondo et al. https://doi.org/10.1038/s41467-018-03374-x
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440. Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev https://doi.org/10.1134/S0001433825701166
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451. Drivers of persistent changes in the global methane cycle under aggressive mitigation action G. Folberth et al. https://doi.org/10.1038/s41612-024-00867-z
452. Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. https://doi.org/10.5194/acp-21-10643-2021
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454. Quantifying the role of ozone-caused damage to vegetation in the Earth system: a new parameterization scheme for photosynthetic and stomatal responses F. Li et al. https://doi.org/10.5194/gmd-17-6173-2024
455. 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
456. 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
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713. Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model F. Malavelle et al. https://doi.org/10.5194/acp-19-1301-2019
714. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches A. Bastos et al. https://doi.org/10.1098/rstb.2017.0304
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718. 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
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727. Modelling the terrestrial nitrogen and phosphorus cycle in the UVic ESCM M. De Sisto et al. https://doi.org/10.5194/gmd-16-4113-2023
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735. Terrestrial ecosystem model studies and their contributions to AsiaFlux A. ITO & K. ICHII https://doi.org/10.2480/agrmet.D-20-00024
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742. Spatio-Temporal Dynamic Characteristics of Carbon Use Efficiency in a Virgin Forest Area of Southeast Tibet Z. Yang et al. https://doi.org/10.3390/rs15092382
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744. Different trends of vegetation activity over northern extratropics during two multidecadal warming periods in the 20th century Z. Guo et al. https://doi.org/10.1016/j.gloplacha.2023.104181
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749. Calibrating soybean parameters in JULES 5.0 from the US-Ne2/3 FLUXNET sites and the SoyFACE-O3 experiment F. Leung et al. https://doi.org/10.5194/gmd-13-6201-2020
750. Global Assimilation of Remotely Sensed Leaf Area Index: The Impact of Updating More State Variables Within a Land Surface Model A. Rahman et al. https://doi.org/10.3389/frwa.2021.789352
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756. Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al. https://doi.org/10.1029/2022JG006985
757. Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India G. Tsarouchi et al. https://doi.org/10.5194/hess-18-4223-2014
758. Scaling leaf respiration with nitrogen and phosphorus in tropical forests across two continents L. Rowland et al. https://doi.org/10.1111/nph.13992
759. Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data E. Robinson et al. https://doi.org/10.5194/hess-21-1189-2017
760. Climatology of severe hail potential in Europe based on a convection-permitting simulation A. Kahraman et al. https://doi.org/10.1007/s00382-024-07227-w
761. Forecasting the monsoon on daily to seasonal time‐scales in support of a field campaign G. Martin et al. https://doi.org/10.1002/qj.3620
762. Regional scale patterns of fine root lifespan and turnover under current and future climate M. Luke McCormack et al. https://doi.org/10.1111/gcb.12163
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764. Technical note: A hydrological routing scheme for the Ecosystem Demography model (ED2+R) tested in the Tapajós River basin in the Brazilian Amazon F. Pereira et al. https://doi.org/10.5194/hess-21-4629-2017
765. The UKC2 regional coupled environmental prediction system H. Lewis et al. https://doi.org/10.5194/gmd-11-1-2018
766. Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. https://doi.org/10.5194/hess-27-647-2023
767. Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis D. Leibovici et al. https://doi.org/10.5194/bg-17-1821-2020
768. Soil moisture measurements: a review E. Eishoeei et al. https://doi.org/10.1016/j.compag.2025.111379
769. PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity M. Willeit & A. Ganopolski https://doi.org/10.5194/gmd-9-3817-2016
770. Evaluation of Global Water Resources Reanalysis Products in the Upper Blue Nile River Basin M. Koukoula et al. https://doi.org/10.1175/JHM-D-19-0233.1
771. Linking leaf dark respiration to leaf traits and reflectance spectroscopy across diverse forest types F. Wu et al. https://doi.org/10.1111/nph.20267
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774. Is there warming in the pipeline? A multi-model analysis of the Zero Emissions Commitment from CO2 A. MacDougall et al. https://doi.org/10.5194/bg-17-2987-2020
775. Estimation of China’s Contribution to Global Greening over the Past Three Decades J. Peng et al. https://doi.org/10.3390/land11030393
776. Measuring compound flood potential from river discharge and storm surge extremes at the global scale A. Couasnon et al. https://doi.org/10.5194/nhess-20-489-2020
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778. No evidence for triose phosphate limitation of light‐saturated leaf photosynthesis under current atmospheric CO2 concentration D. Kumarathunge et al. https://doi.org/10.1111/pce.13639
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780. Dryland dominance in the slowdown of global vegetation carbon uptake F. Li et al. https://doi.org/10.1038/s41561-026-01957-8
781. Global evaluation of gross primary productivity in the JULES land surface model v3.4.1 D. Slevin et al. https://doi.org/10.5194/gmd-10-2651-2017
782. Changing Amazon biomass and the role of atmospheric CO2 concentration, climate, and land use A. de Almeida Castanho et al. https://doi.org/10.1002/2015GB005135
783. A new remote sensing-derived high resolution eco-physiological land use land cover (HR Eco-P LULC) product in support of regional climate modeling over the Indian landscape K. Gupta et al. https://doi.org/10.1016/j.rsase.2026.101988