205 citations as recorded by crossref.

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2. Interannual land cover and vegetation variability based on remote sensing data in the HTESSEL land surface model: implementation and effects on simulated water dynamics F. van Oorschot et al. https://doi.org/10.5194/esd-14-1239-2023
3. Recent Changes in the ISBA‐CTRIP Land Surface System for Use in the CNRM‐CM6 Climate Model and in Global Off‐Line Hydrological Applications B. Decharme et al. https://doi.org/10.1029/2018MS001545
4. Assimilation of Leaf Area Index and Soil Water Index from Satellite Observations in a Land Surface Model in Hungary H. Tóth & B. Szintai https://doi.org/10.3390/atmos12080944
5. Impact of lake surface temperatures simulated by the FLake scheme in the CNRM-CM5 climate model P. Le Moigne et al. https://doi.org/10.3402/tellusa.v68.31274
6. Numerical study on the climatic effect of the Aral Sea H. He et al. https://doi.org/10.1016/j.atmosres.2021.105977
7. The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System L. Bengtsson et al. https://doi.org/10.1175/MWR-D-16-0417.1
8. Assessing inconsistency in global land cover products and synthesis of studies on land use and land cover dynamics during 2001 to 2017 in the southeastern region of Bangladesh S. Islam et al. https://doi.org/10.1117/1.JRS.13.048501
9. A statistical–dynamical downscaling methodology for the urban heat island applied to the EURO-CORDEX ensemble B. Le Roy et al. https://doi.org/10.1007/s00382-020-05600-z
10. Flood forecasting and alert system for Arda River basin E. Artinyan et al. https://doi.org/10.1016/j.jhydrol.2016.02.059
11. Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: a land data assimilation application over France A. Barbu et al. https://doi.org/10.5194/hess-18-173-2014
12. The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. https://doi.org/10.1002/qj.4858
13. Development of Surface Data Assimilation Using Simplified Extended Kalman Filter in AROME Model in Hungary H. Tóth et al. https://doi.org/10.3390/atmos16060709
14. Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model L. Mimeau et al. https://doi.org/10.5194/hess-28-851-2024
15. On Transformation of Vegetation Parameters in Modeling the Response of Terrestrial Heat and Water Balance Components to Possible Climate Changes E. Gusev & O. Nasonova https://doi.org/10.1134/S0097807825604637
16. A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations R. Quast et al. https://doi.org/10.3390/rs11030285
17. A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event M. Mandement & O. Caumont https://doi.org/10.5194/wcd-2-795-2021
18. Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al. https://doi.org/10.1016/j.jhydrol.2024.132209
19. A hybrid framework to estimate live fuel moisture content through land surface modelling F. Santos et al. https://doi.org/10.1007/s40808-025-02561-2
20. Heat stored in the Earth system 1960–2020: where does the energy go? K. von Schuckmann et al. https://doi.org/10.5194/essd-15-1675-2023
21. The evolution of Arctic permafrost over the last 3 centuries from ensemble simulations with the CryoGridLite permafrost model M. Langer et al. https://doi.org/10.5194/tc-18-363-2024
22. Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al. https://doi.org/10.5194/hess-22-2091-2018
23. Capability of the variogram to quantify the spatial patterns of surface fluxes and soil moisture simulated by land surface models S. Garrigues et al. https://doi.org/10.1177/0309133320986147
24. Adaptation of FDMT to include process-based models and consider regional aspects following radionuclide deposition events A. Hosseini et al. https://doi.org/10.1016/j.scitotenv.2024.175921
25. 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
26. Agriculture intensification increases summer precipitation in Tianshan Mountains, China P. Cai et al. https://doi.org/10.1016/j.atmosres.2019.05.005
27. Reproduction of historical water balance in the Aral Sea Basin: The physically-based framework to quantify water consumption components in endorheic lake Y. Touge et al. https://doi.org/10.1016/j.jhydrol.2024.131711
28. Impact of urban land use on mean and heavy rainfall during the Indian summer monsoon R. Falga & C. Wang https://doi.org/10.5194/acp-24-631-2024
29. Forest composition effect on wildfire pattern and run‐off regime in a Mediterranean watershed N. Ohana‐Levi et al. https://doi.org/10.1002/eco.1936
30. Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco) G. Aouade et al. https://doi.org/10.5194/hess-24-3789-2020
31. Method for solar resource assessment using numerical weather prediction and artificial neural network models based on typical meteorological data: Application to the south of Portugal S. Pereira et al. https://doi.org/10.1016/j.solener.2022.03.003
32. Providing a non-deterministic representation of spatial variability of precipitation in the Everest region J. Eeckman et al. https://doi.org/10.5194/hess-21-4879-2017
33. Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones E. Keany et al. https://doi.org/10.5194/asr-19-13-2022
34. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al. https://doi.org/10.5194/gmd-7-931-2014
35. Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 A. Voldoire et al. https://doi.org/10.1029/2019MS001683
36. The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. https://doi.org/10.1016/j.rse.2019.111603
37. Investigating urban heat islands over Rome and Milan during a summer period through the TERRA_URB parameterization in the ICON model A. Campanale et al. https://doi.org/10.1016/j.uclim.2025.102335
38. Modelling Airport Pollutants Dispersion at High Resolution C. Sarrat et al. https://doi.org/10.3390/aerospace4030046
39. Simulating the Effects of Regional Forest Cover and Windthrow‐Induced Cover Changes on Mid‐Latitude Boundary‐Layer Clouds G. Noual et al. https://doi.org/10.1029/2023JD038477
40. An Ensemble Learning Approach for Land Use/Land Cover Classification of Arid Regions for Climate Simulation: A Case Study of Xinjiang, Northwest China H. Du et al. https://doi.org/10.1109/JSTARS.2023.3247624
41. Effects of high spatial and temporal resolution Earth observations on simulated hydrometeorological variables in a cropland (southwestern France) J. Etchanchu et al. https://doi.org/10.5194/hess-21-5693-2017
42. Current status of broad-scale meteorological data available for agrometeorological studies A. ITO https://doi.org/10.2480/cib.J-18-043
43. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. https://doi.org/10.3390/rs10081199
44. An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US J. Blyverket et al. https://doi.org/10.3390/rs11050478
45. The HIRLAM fast radiation scheme for mesoscale numerical weather prediction models L. Rontu et al. https://doi.org/10.5194/asr-14-195-2017
46. An Evaluation of MÉRA, a High-Resolution Mesoscale Regional Reanalysis E. Whelan et al. https://doi.org/10.1175/JAMC-D-17-0354.1
47. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev https://doi.org/10.31857/S0321059623700025
48. Assessing the Applicability of Offline Land Surface Model with Physiography Refinement for a Heatwave Simulation Over Stockholm F. Wang et al. https://doi.org/10.2139/ssrn.4168689
49. Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. https://doi.org/10.5194/bg-19-4361-2022
50. Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia M. Nogueira et al. https://doi.org/10.5194/gmd-13-3975-2020
51. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al. https://doi.org/10.3390/land13111811
52. The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: description and application with the COSMO-CLM model for a Belgian summer H. Wouters et al. https://doi.org/10.5194/gmd-9-3027-2016
53. The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France P. Le Moigne et al. https://doi.org/10.5194/gmd-13-3925-2020
54. Projected hydrological changes and their consistency under future climate in the Chao Phraya River Basin using multi-model and multi-scenario of CMIP5 dataset S. Kotsuki et al. https://doi.org/10.3178/hrl.8.27
55. The summer cooling effect under the projected restoration of Aral Sea in Central Asia H. He et al. https://doi.org/10.1007/s10584-022-03434-8
56. An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. https://doi.org/10.3390/rs11243044
57. The Role of Atmospheric Circulation in Favouring Forest Fires in the Extreme Southern Portugal C. Purificação et al. https://doi.org/10.3390/su16166985
58. An integrated approach to project the future urban climate response: Changes to Lisbon's urban heat island and temperature extremes M. Nogueira et al. https://doi.org/10.1016/j.uclim.2020.100683
59. Impact of climate, vegetation, soil and crop management variables on multi-year ISBA-A-gs simulations of evapotranspiration over a Mediterranean crop site S. Garrigues et al. https://doi.org/10.5194/gmd-8-3033-2015
60. Using machine learning to produce a very high resolution land-cover map for Ireland E. Walsh et al. https://doi.org/10.5194/asr-18-65-2021
61. Understanding large‐extent controls of soil organic carbon storage in relation to soil depth and soil‐landscape systems V. Mulder et al. https://doi.org/10.1002/2015GB005178
62. Satellite data integration for soil clay content modelling at a national scale T. Loiseau et al. https://doi.org/10.1016/j.jag.2019.101905
63. River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies S. Munier & B. Decharme https://doi.org/10.5194/essd-14-2239-2022
64. Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model O. Dare-Idowu et al. https://doi.org/10.3390/w13111481
65. SACRA – a method for the estimation of global high-resolution crop calendars from a satellite-sensed NDVI S. Kotsuki & K. Tanaka https://doi.org/10.5194/hess-19-4441-2015
66. A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products C. Paris & L. Bruzzone https://doi.org/10.1109/TGRS.2020.3001004
67. Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA O. Rojas-Munoz et al. https://doi.org/10.3390/rs15174329
68. Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133304
69. Multi-Criteria Evaluation of Snowpack Simulations in Complex Alpine Terrain Using Satellite and In Situ Observations J. Revuelto et al. https://doi.org/10.3390/rs10081171
70. Evaluating large-extent spatial modeling approaches: A case study for soil depth for France M. Lacoste et al. https://doi.org/10.1016/j.geodrs.2016.02.006
71. A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images C. Paris et al. https://doi.org/10.1109/TGRS.2018.2890404
72. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al. https://doi.org/10.1016/j.jhydrol.2017.04.048
73. A surface modelling approach for attribution and disentanglement of the effects of global warming from urbanization in temperature extremes: application to Lisbon M. Nogueira & P. Soares https://doi.org/10.1088/1748-9326/ab465f
74. Vegetation baseline phenology from kilometric global LAI satellite products A. Verger et al. https://doi.org/10.1016/j.rse.2016.02.057
75. Improvement of low flows simulation in the SASER hydrological modeling chain O. Cenobio-Cruz et al. https://doi.org/10.1016/j.hydroa.2022.100147
76. An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. https://doi.org/10.1029/2022MS003286
77. Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. https://doi.org/10.1002/2017JD027346
78. Improvements in the land surface configuration to better simulate seasonal snow cover in the European Alps with the CNRM-AROME (cycle 46) convection-permitting regional climate model D. Monteiro et al. https://doi.org/10.5194/gmd-17-7645-2024
79. Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network X. Shan et al. https://doi.org/10.1016/j.rse.2022.113116
80. 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
81. Merging country, continental and global predictions of soil texture: Lessons from ensemble modelling in France M. Caubet et al. https://doi.org/10.1016/j.geoderma.2018.09.007
82. The interactions between soil–biosphere–atmosphere (ISBA) land surface model multi-energy balance (MEB) option in SURFEXv8 – Part 2: Introduction of a litter formulation and model evaluation for local-scale forest sites A. Napoly et al. https://doi.org/10.5194/gmd-10-1621-2017
83. First Quantification of the Permafrost Heat Sink in the Earth's Climate System J. Nitzbon et al. https://doi.org/10.1029/2022GL102053
84. City-descriptive input data for urban climate models: Model requirements, data sources and challenges V. Masson et al. https://doi.org/10.1016/j.uclim.2019.100536
85. Analysis of past and future droughts causing clay shrinkage in France S. Barthelemy et al. https://doi.org/10.5194/hess-29-2321-2025
86. Projected evolution of the Urban climate and heatwaves using an ensemble of convection-permitting regional climate models Y. Michau et al. https://doi.org/10.1007/s10584-025-03990-9
87. Skilful seasonal streamflow forecasting using a fully coupled global climate model G. Narváez-Campo & C. Ardilouze https://doi.org/10.5194/hess-29-4739-2025
88. What is the potential of cropland albedo management in the fight against global warming? A case study based on the use of cover crops D. Carrer et al. https://doi.org/10.1088/1748-9326/aab650
89. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. https://doi.org/10.5194/gmd-11-1929-2018
90. The marinada fall wind in the eastern Ebro sub-basin: physical mechanisms and role of the sea, orography and irrigation T. Lunel et al. https://doi.org/10.5194/acp-24-7637-2024
91. Semi‐idealized simulations of wintertime flows and pollutant transport in an Alpine valley. Part II: Passive tracer tracking T. Sabatier et al. https://doi.org/10.1002/qj.3710
92. Kilometre-scale simulations over Fennoscandia reveal a large loss of tundra due to climate warming F. Lagergren et al. https://doi.org/10.5194/bg-21-1093-2024
93. Evaluation of drought representation and propagation in regional climate model simulations across Spain A. Barella-Ortiz & P. Quintana-Seguí https://doi.org/10.5194/hess-23-5111-2019
94. From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States A. Mucia et al. https://doi.org/10.3390/rs12122020
95. An Asymptotic Theory for the Flow over Heterogeneous Roughness A. Segalini & E. Janzon https://doi.org/10.1007/s10546-022-00776-9
96. On the Use of Hydrological Models and Satellite Data to Study the Water Budget of River Basins Affected by Human Activities: Examples from the Garonne Basin of France E. Martin et al. https://doi.org/10.1007/s10712-016-9366-2
97. Cellular Simulation for Distributed Sensing over Complex Terrains T. Truong et al. https://doi.org/10.3390/s18072323
98. Suivi en temps réel des sécheresses : de l'analyse à la prévision saisonnière F. Besson et al. https://doi.org/10.1051/lhb/2020042
99. Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests J. Nousu et al. https://doi.org/10.5194/tc-18-231-2024
100. Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. https://doi.org/10.5194/hess-23-1801-2019
101. Evaluation of land surface model simulations of evapotranspiration over a 12-year crop succession: impact of soil hydraulic and vegetation properties S. Garrigues et al. https://doi.org/10.5194/hess-19-3109-2015
102. Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system E. Gleeson et al. https://doi.org/10.5194/acp-16-5933-2016
103. Modeling flash floods in southern France for road management purposes B. Vincendon et al. https://doi.org/10.1016/j.jhydrol.2016.05.054
104. Characteristics of sea breeze in a complex terrain island seen by CERRA A. Serra et al. https://doi.org/10.1016/j.atmosres.2025.108451
105. GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth V. Mulder et al. https://doi.org/10.1016/j.scitotenv.2016.07.066
106. A Method to Improve Land Use Representation for Weather Simulations Based on High‐Resolution Data Sets—Application to Corine Land Cover Data in the WRF Model M. de Bode et al. https://doi.org/10.1029/2021EA002123
107. Uncertainties in Classification System Conversion and an Analysis of Inconsistencies in Global Land Cover Products M. Zhang et al. https://doi.org/10.3390/ijgi6040112
108. Evaluation of the convection-permitting regional climate model CNRM-AROME41t1 over Northwestern Europe P. Lucas-Picher et al. https://doi.org/10.1007/s00382-022-06637-y
109. Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. https://doi.org/10.3390/w11010078
110. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. https://doi.org/10.5194/bg-19-2557-2022
111. A parameterization of SEVIRI and MODIS daily surface albedo with soil moisture: Calibration and validation over southwestern France S. Liu et al. https://doi.org/10.1016/j.rse.2014.01.016
112. Probability mapping of soil thickness by random survival forest at a national scale S. Chen et al. https://doi.org/10.1016/j.geoderma.2019.03.016
113. Total water storage variability from GRACE mission and hydrological models for a 50,000 km2 temperate watershed: the Garonne River basin (France) S. Biancamaria et al. https://doi.org/10.1016/j.ejrh.2019.100609
114. National versus global modelling the 3D distribution of soil organic carbon in mainland France V. Mulder et al. https://doi.org/10.1016/j.geoderma.2015.08.035
115. Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy J. Dari et al. https://doi.org/10.1016/j.advwatres.2022.104130
116. AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model M. Müller et al. https://doi.org/10.1175/WAF-D-16-0099.1
117. Two biogenic volatile organic compound emission datasets over Europe based on land surface modelling and satellite data assimilation P. Hamer et al. https://doi.org/10.5194/essd-18-3635-2026
118. Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco E. Bouras et al. https://doi.org/10.3390/rs13163101
119. 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
120. Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011 G. Hu et al. https://doi.org/10.1016/j.rse.2014.10.017
121. Numerical Study of the Interaction between Oasis and Urban Areas within an Arid Mountains-Desert System in Xinjiang, China P. Cai et al. https://doi.org/10.3390/atmos11010085
122. High resolution simulation of Stockholm's air temperature and its interactions with urban development J. Amorim et al. https://doi.org/10.1016/j.uclim.2020.100632
123. The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model E. Gleeson et al. https://doi.org/10.3390/meteorology3040018
124. The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data M. Verdonck et al. https://doi.org/10.1016/j.landurbplan.2018.06.004
125. Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations A. Lovat et al. https://doi.org/10.5194/hess-26-2697-2022
126. Improving the Spatial Distribution of Snow Cover Simulations by Assimilation of Satellite Stereoscopic Imagery C. Deschamps‐Berger et al. https://doi.org/10.1029/2021WR030271
127. On the deep learning approach for improving the representation of urban climate: The Paris urban heat island and temperature extremes F. Johannsen et al. https://doi.org/10.1016/j.uclim.2024.102039
128. Une simulation des interactions ville-atmosphère à différentes échelles : application sur Strasbourg P. Kastendeuch & G. Najjar https://doi.org/10.4267/climatologie.1118
129. Impact of a large artificial lake on regional climate: A typical meteorological year Meso‐NH simulation results M. Iakunin et al. https://doi.org/10.1002/joc.7299
130. The CNRM Global Atmosphere Model ARPEGE‐Climat 6.3: Description and Evaluation R. Roehrig et al. https://doi.org/10.1029/2020MS002075
131. RECHARGE, a model of potential recharge of aquifers applied to mainland France O. Robelin et al. https://doi.org/10.1016/j.jhydrol.2025.134631
132. Cluster Analysis of Atmospheric Dynamics and Pollution Transport in a Coastal Area A. Sokolov et al. https://doi.org/10.1007/s10546-016-0174-5
133. Remote Sensing Standardized Soil Moisture Index for Drought Monitoring: A Case Study in the Ebro Basin G. Sánchez Alcalde & M. Escorihuela https://doi.org/10.3390/rs17233916
134. Improvements to the hydrological processes of the Town Energy Balance model (TEB-Veg, SURFEX v7.3) for urban modelling and impact assessment X. Stavropulos-Laffaille et al. https://doi.org/10.5194/gmd-11-4175-2018
135. Evaluation of isoprene emissions from the coupled model SURFEX–MEGANv2.1 S. Oumami et al. https://doi.org/10.5194/gmd-17-3385-2024
136. Detailed Mapping and Modeling of Urban Vegetation: What Are the Benefits for Microclimatic Simulations with Town Energy Balance (TEB) at Neighborhood Scale? É. Bernard et al. https://doi.org/10.1175/JAMC-D-21-0134.1
137. Evaluation of root water uptake in the ISBA-A-gs land surface model using agricultural yield statistics over France N. Canal et al. https://doi.org/10.5194/hess-18-4979-2014
138. Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate R. Séférian et al. https://doi.org/10.1029/2019MS001791
139. Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes M. Escorihuela & P. Quintana-Seguí https://doi.org/10.1016/j.rse.2016.02.046
140. Projection of irrigation water requirement in the south Mediterranean area using an explicit representation of irrigation processes into a land surface model: Case of the Tensift catchment (Morocco) A. Moucha et al. https://doi.org/10.1371/journal.pwat.0000297
141. What added value of CNRM-AROME convection-permitting regional climate model compared to CNRM-ALADIN regional climate model for urban climate studies ? Evaluation over Paris area (France) A. Lemonsu et al. https://doi.org/10.1007/s00382-022-06647-w
142. Towards climate services for European cities: Lessons learnt from the Copernicus project Urban SIS L. Gidhagen et al. https://doi.org/10.1016/j.uclim.2019.100549
143. Summer temperature response to extreme soil water conditions in the Mediterranean transitional climate regime S. Materia et al. https://doi.org/10.1007/s00382-021-05815-8
144. Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme Y. Tramblay & P. Quintana Seguí https://doi.org/10.5194/nhess-22-1325-2022
145. 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
146. Hillslope-scale exploration of the relative contribution of base flow, seepage flow and overland flow to streamflow dynamics N. Cornette et al. https://doi.org/10.1016/j.jhydrol.2022.127992
147. A One‐Year‐Long Evaluation of a Wind‐Farm Parameterization in HARMONIE‐AROME B. van Stratum et al. https://doi.org/10.1029/2021MS002947
148. Do climate and land use affect the pool of total silicon concentration? A digital soil mapping approach of French topsoils A. Landré et al. https://doi.org/10.1016/j.geoderma.2020.114175
149. 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
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