499 citations as recorded by crossref.

1. Evaluating MODIS vegetation products using digital images for quantifying local peatland CO2 gas fluxes N. Gatis et al. 10.1002/rse2.45
2. Assessment of MERRA-2 Land Surface Energy Flux Estimates C. Draper et al. 10.1175/JCLI-D-17-0121.1
3. Future inhibition of ecosystem productivity by increasing wildfire pollution over boreal North America X. Yue et al. 10.5194/acp-17-13699-2017
4. Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates B. Pagán et al. 10.3390/rs11040413
5. Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling S. Pan et al. 10.5194/hess-24-1485-2020
6. Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5 D. Wang et al. 10.5194/hess-21-3557-2017
7. Tree‐based iterative input variable selection for hydrological modeling S. Galelli & A. Castelletti 10.1002/wrcr.20339
8. Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances* C. Lorenz et al. 10.1175/JHM-D-13-0157.1
9. Multi‐model, multi‐sensor estimates of global evapotranspiration: climatology, uncertainties and trends R. Vinukollu et al. 10.1002/hyp.8393
10. Development of a 10-year (2001–2010) 0.1° data set of land-surface energy balance for mainland China X. Chen et al. 10.5194/acp-14-13097-2014
11. Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer Learning Model J. Lin et al. 10.3390/rs15071901
12. Historical Drought Assessment Over the Contiguous United States Using the Generalized Complementary Principle of Evapotranspiration D. Kim et al. 10.1029/2019WR024991
13. Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M. Jung et al. 10.5194/bg-17-1343-2020
14. Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles F. Wang et al. 10.5194/hess-22-3863-2018
15. GLEAM v3: satellite-based land evaporation and root-zone soil moisture B. Martens et al. 10.5194/gmd-10-1903-2017
16. Flux towers in the sky: global ecology from space D. Schimel & F. Schneider 10.1111/nph.15934
17. An Improved Satellite‐Based Evapotranspiration Procedure for China L. Huang et al. 10.1029/2023EA002949
18. Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
19. MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
20. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. 10.1016/j.jhydrol.2022.128444
21. A new estimation of China’s net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach Y. Yao et al. 10.1016/j.agrformet.2018.02.007
22. Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies A. Ito et al. 10.1088/1748-9326/aa7a19
23. Decadal Trends in Evaporation from Global Energy and Water Balances Y. Zhang et al. 10.1175/JHM-D-11-012.1
24. ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation M. Guimberteau et al. 10.5194/gmd-11-121-2018
25. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
26. Future European temperature change uncertainties reduced by using land heat flux observations A. Stegehuis et al. 10.1002/grl.50404
27. Land cover and precipitation controls over long‐term trends in carbon gains in the grassland biome of South America M. Texeira et al. 10.1890/ES15-00085.1
28. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al. 10.5194/hess-24-3431-2020
29. A High‐Resolution Land Data Assimilation System Optimized for the Western United States J. Erlingis et al. 10.1111/1752-1688.12910
30. Completing the data life cycle: using information management in macrosystems ecology research J. Rüegg et al. 10.1890/120375
31. The relative contributions of precipitation, evapotranspiration, and runoff to terrestrial water storage changes across 168 river basins Y. Zhang et al. 10.1016/j.jhydrol.2019.124194
32. Biological and Environmental Controls on Evaporative Fractions at AmeriFlux Sites C. Zhou & K. Wang 10.1175/JAMC-D-15-0126.1
33. Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data D. Prakash Sarkar et al. 10.1016/j.ecoinf.2022.101697
34. Regional and Global Land Data Assimilation Systems: Innovations, Challenges, and Prospects Y. Xia et al. 10.1007/s13351-019-8172-4
35. A comprehensive benchmarking system for evaluating global vegetation models D. Kelley et al. 10.5194/bg-10-3313-2013
36. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
37. Effects of atmospheric aerosols on terrestrial carbon fluxes and CO2 concentrations in China X. Xie et al. 10.1016/j.atmosres.2020.104859
38. Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida 10.1016/j.agrformet.2020.108092
39. Land–atmosphere interactions in the tropics – a review P. Gentine et al. 10.5194/hess-23-4171-2019
40. Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis H. Shi et al. 10.5194/hess-26-4603-2022
41. Attribution of Flux Partitioning Variations between Land Surface Models over the Continental U.S. S. Kumar et al. 10.3390/rs10050751
42. Assessing and improving the representativeness of monitoring networks: The European flux tower network example M. Sulkava et al. 10.1029/2010JG001562
43. Potential shifts in climate zones under a future global warming scenario using soil moisture classification M. Li et al. 10.1007/s00382-020-05576-w
44. Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution Using the Operational Simplified Surface Energy Balance Model R. Singh et al. 10.3390/rs6010233
45. A global terrestrial ecosystem respiration dataset (2001-2010) estimated with MODIS land surface temperature and vegetation indices J. Ai et al. 10.1080/20964471.2020.1768001
46. A high‐resolution approach to estimating ecosystem respiration at continental scales using operational satellite data J. Jägermeyr et al. 10.1111/gcb.12443
47. Evaluation of the ORCHIDEE ecosystem model over Africa against 25 years of satellite-based water and carbon measurements A. Traore et al. 10.1002/2014JG002638
48. Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence K. Guan et al. 10.1111/gcb.13136
49. Development of Land Surface Model BCC_AVIM2.0 and Its Preliminary Performance in LS3MIP/CMIP6 W. Li et al. 10.1007/s13351-019-9016-y
50. Spatial and Temporal Analyses of Vegetation Changes at Multiple Time Scales in the Qilian Mountains L. Zhang et al. 10.3390/rs13245046
51. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. 10.1029/2022WR033447
52. On the contribution of dynamic leaf area index in simulating the African climate using a regional climate model (RegCM4) S. Anwar 10.1007/s00704-020-03414-x
53. Ensembles of Fuzzy Linear Model Trees for the Identification of Multioutput Systems D. Aleksovski et al. 10.1109/TFUZZ.2015.2489234
54. Global vegetation variability and its response to elevated CO<sub>2</sub>, global warming, and climate variability – a study using the offline SSiB4/TRIFFID model and satellite data Y. Liu et al. 10.5194/esd-10-9-2019
55. First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS) Z. Su et al. 10.1016/j.jag.2013.08.002
56. Multiobjective reservoir operating rules based on cascade reservoir input variable selection method G. Yang et al. 10.1002/2016WR020301
57. Evaluation of CMIP5 earth system models in reproducing leaf area index and vegetation cover over the Tibetan Plateau Y. Bao et al. 10.1007/s13351-014-4023-5
58. Impacts of 2°C global warming on primary production and soil carbon storage capacity at pan-European level A. Sakalli et al. 10.1016/j.cliser.2017.03.006
59. Estimating the Net Ecosystem Exchange at Global FLUXNET Sites Using a Random Forest Model N. Huang et al. 10.1109/JSTARS.2021.3114190
60. The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets D. Miralles et al. 10.5194/hess-20-823-2016
61. The impact of spatiotemporal variability in atmospheric CO<sub>2</sub> concentration on global terrestrial carbon fluxes E. Lee et al. 10.5194/bg-15-5635-2018
62. Improving global gross primary productivity estimation by fusing multi-source data products Y. Zhang & A. Ye 10.1016/j.heliyon.2022.e09153
63. Seasonal responses of terrestrial ecosystem water‐use efficiency to climate change M. Huang et al. 10.1111/gcb.13180
64. The Spatio-Temporal Variations of GPP and Its Climatic Driving Factors in the Yangtze River Basin during 2000–2018 C. Nie et al. 10.3390/f14091898
65. Influence of Leaf Area Index Prescriptions on Simulations of Heat, Moisture, and Carbon Fluxes J. Kala et al. 10.1175/JHM-D-13-063.1
66. Daily gridded meteorological variables in Brazil (1980–2013) A. Xavier et al. 10.1002/joc.4518
67. An operational parameterization scheme of surface temperature-vegetation index contextual model for large-scale temporally continuous evapotranspiration estimation: The case study of contiguous United States J. Wei & W. Zhu 10.1016/j.jhydrol.2021.126805
68. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2 C. Zhang et al. 10.1007/s11442-020-1778-8
69. The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources J. Fisher et al. 10.1002/2016WR020175
70. Laboratory observations for examining estimates of soil dry surface layer thickness with parsimonious models C. Mathers et al. 10.1080/02626667.2024.2373249
71. A Joint Soil‐Vegetation‐Atmospheric Modeling Procedure of Water Isotopologues: Implementation and Application to Different Climate Zones With WRF‐Hydro‐Iso J. Arnault et al. 10.1029/2021MS002562
72. The Global Land Carbon Cycle Simulated With ISBA‐CTRIP: Improvements Over the Last Decade C. Delire et al. 10.1029/2019MS001886
73. Mutual inhibition effects of elevated CO2 and climate change on global forest GPP Y. Ji et al. 10.1016/j.envres.2024.119145
74. Effects of multiple environment stresses on evapotranspiration and runoff over eastern China M. Liu et al. 10.1016/j.jhydrol.2012.01.009
75. Forest‐Type‐Dependent Water Use Efficiency Trends Across the Northern Hemisphere M. Wang et al. 10.1029/2018GL079093
76. Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements M. Pallandt et al. 10.5194/bg-19-559-2022
77. A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation X. He et al. 10.3390/rs12050878
78. Evaluation of twelve evapotranspiration products from machine learning, remote sensing and land surface models over conterminous United States T. Xu et al. 10.1016/j.jhydrol.2019.124105
79. Estimating Diurnal Courses of Gross Primary Production for Maize: A Comparison of Sun-Induced Chlorophyll Fluorescence, Light-Use Efficiency and Process-Based Models T. Cui et al. 10.3390/rs9121267
80. Detecting impacts of extreme events with ecological in situ monitoring networks M. Mahecha et al. 10.5194/bg-14-4255-2017
81. The role of horizontal resolution in simulating drivers of the global hydrological cycle M. Demory et al. 10.1007/s00382-013-1924-4
82. Implications of improved representations of plant respiration in a changing climate C. Huntingford et al. 10.1038/s41467-017-01774-z
83. Reconstructed Solar‐Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME‐2 Solar‐Induced Fluorescence P. Gentine & S. Alemohammad 10.1002/2017GL076294
84. Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms Y. Yang et al. 10.1007/s10661-021-08934-1
85. What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
86. A test of an optimal stomatal conductance scheme within the CABLE land surface model M. De Kauwe et al. 10.5194/gmd-8-431-2015
87. Production of a combined land surface data set and its use to assess land‐atmosphere coupling in China M. Li et al. 10.1002/2016JD025511
88. Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data S. Wang et al. 10.1016/j.scitotenv.2020.142569
89. Linking plant and ecosystem functional biogeography M. Reichstein et al. 10.1073/pnas.1216065111
90. Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: Regression Tree Model Development and Comparative Analysis B. Wylie et al. 10.3390/rs8110944
91. Projections of changes in ecosystem productivity under 1.5 °C and 2 °C global warming C. Tian et al. 10.1016/j.gloplacha.2021.103588
92. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics Z. Xiong et al. 10.3390/cli11100205
93. Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al. 10.5194/esd-9-153-2018
94. Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations H. Zheng et al. 10.1029/2020MS002132
95. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
96. Evaluation of satellite-based evapotranspiration estimates in China L. Huang et al. 10.1117/1.JRS.11.026019
97. High‐Resolution Global Contiguous SIF of OCO‐2 L. Yu et al. 10.1029/2018GL081109
98. Preface: Impacts of extreme climate events and disturbances on carbon dynamics J. Xiao et al. 10.5194/bg-13-3665-2016
99. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle B. Poulter et al. 10.1038/nature13376
100. Evaluating Surface Water Cycle Simulated by the Australian Community Land Surface Model (CABLE) across Different Spatial and Temporal Domains H. Zhang et al. 10.1175/JHM-D-12-0123.1
101. Retrieval of Surface Energy Fluxes Considering Vegetation Changes and Aerosol Effects L. Chen et al. 10.3390/rs16040668
102. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe T. Thum et al. 10.5194/bg-14-1969-2017
103. Negative soil moisture-precipitation feedback in dry and wet regions L. Yang et al. 10.1038/s41598-018-22394-7
104. Change in terrestrial ecosystem water‐use efficiency over the last three decades M. Huang et al. 10.1111/gcb.12873
105. Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models A. Anav et al. 10.1175/JCLI-D-12-00417.1
106. Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production Y. Zhang et al. 10.1038/srep39748
107. Assessment of Six Machine Learning Methods for Predicting Gross Primary Productivity in Grassland H. Wang et al. 10.3390/rs15143475
108. Relationships between photosynthesis and formaldehyde as a probe of isoprene emission Y. Zheng et al. 10.5194/acp-15-8559-2015
109. Mapping global forest biomass and its changes over the first decade of the 21st century A. Chen et al. 10.1007/s11430-018-9277-6
110. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product P. Bodesheim et al. 10.5194/essd-10-1327-2018
111. Role of Runoff–Infiltration Partitioning and Resolved Overland Flow on Land–Atmosphere Feedbacks: A Case Study with the WRF-Hydro Coupled Modeling System for West Africa J. Arnault et al. 10.1175/JHM-D-15-0089.1
112. Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
113. An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
114. Parameter sensitivity analysis and optimization for a satellite‐based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data K. Zhang et al. 10.1002/2016JD025768
115. Upscaling carbon fluxes over the Great Plains grasslands: Sinks and sources L. Zhang et al. 10.1029/2010JG001504
116. Assessment of the ParFlow–CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States M. O'Neill et al. 10.5194/gmd-14-7223-2021
117. Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model H. Mizuochi et al. 10.5194/hess-25-2199-2021
118. NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment M. Jasinski et al. 10.1175/JHM-D-17-0234.1
119. Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate W. Liang et al. 10.1111/gcb.13592
120. Grid-Based Model for Estimating Evapotranspiration Rates of Heterogeneous Land Surface M. Shanmugam et al. 10.1061/(ASCE)IR.1943-4774.0001436
121. Effects of Climate/Land Surface Changes on Streamflow With Consideration of Precipitation Intensity and Catchment Characteristics in the Yellow River Basin M. Lv et al. 10.1002/2017JD027625
122. Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning R. ElGhawi et al. 10.1088/1748-9326/acbbe0
123. Ensemble simulation of land evapotranspiration in China based on a multi-forcing and multi-model approach J. Liu et al. 10.1007/s00376-016-5213-0
124. Improved Global Maps of the Optimum Growth Temperature, Maximum Light Use Efficiency, and Gross Primary Production for Vegetation Y. Chen et al. 10.1029/2020JG005651
125. Evaluation of the Common Land Model (CoLM) from the Perspective of Water and Energy Budget Simulation: Towards Inclusion in CMIP6 C. Li et al. 10.3390/atmos8080141
126. Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
127. Systematic Hydrological Evaluation of the Noah-MP Land Surface Model over China J. Liang et al. 10.1007/s00376-019-9016-y
128. Assessment of an Evapotranspiration Deficit Drought Index in Relation to Impacts on Ecosystems X. Zhang et al. 10.1007/s00376-019-9061-6
129. Multisatellite Analyses of Spatiotemporal Variability in Photosynthetic Activity Over the Tibetan Plateau X. Wang et al. 10.1029/2019JG005249
130. Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S. V. Sehgal et al. 10.3390/su10093079
131. The European carbon balance. Part 4: integration of carbon and other trace‐gas fluxes E. SCHULZE et al. 10.1111/j.1365-2486.2010.02215.x
132. Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images J. Celis et al. 10.3390/rs16010046
133. Predictability of tropical vegetation greenness using sea surface temperatures* B. Yan et al. 10.1088/2515-7620/ab178a
134. Estimating Trends and Variation of Net Biome Productivity in India for 1980–2012 Using a Land Surface Model S. Gahlot et al. 10.1002/2017GL075777
135. The Effects of Dynamic Root Distribution on Land–Atmosphere Carbon and Water Fluxes in the Community Earth System Model (CESM1.2.0) Y. Wang et al. 10.3390/f9040172
136. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. 10.1029/2022WR033731
137. Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al. 10.1029/2023JD038624
138. Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence S. Alemohammad et al. 10.5194/bg-14-4101-2017
139. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales Y. Ryu et al. 10.1029/2011GB004053
140. Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions Y. Lei et al. 10.5194/gmd-13-1137-2020
141. Assessments of three evapotranspiration products over China using extended triple collocation and water balance methods Y. Jia et al. 10.1016/j.jhydrol.2022.128594
142. FLUXNET-CH<sub>4</sub>: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. 10.5194/essd-13-3607-2021
143. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
144. Long-term changes in evapotranspiration over China and attribution to climatic drivers during 1980–2010 S. Li et al. 10.1016/j.jhydrol.2021.126037
145. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations M. Jung et al. 10.1029/2010JG001566
146. Data-driven diagnostics of terrestrial carbon dynamics over North America J. Xiao et al. 10.1016/j.agrformet.2014.06.013
147. Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation H. Dewaele et al. 10.5194/hess-21-4861-2017
148. Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. 10.1029/2021MS002747
149. A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression D. Sarkar et al. 10.1016/j.rsase.2023.101116
150. The European land and inland water CO<sub>2</sub>, CO, CH<sub>4</sub> and N<sub>2</sub>O balance between 2001 and 2005 S. Luyssaert et al. 10.5194/bg-9-3357-2012
151. Predicting multi-annual green roof net ecosystem exchange using machine learning T. Husting et al. 10.1016/j.buildenv.2024.111878
152. Net ecosystem productivity of temperate grasslands in northern China: An upscaling study L. Zhang et al. 10.1016/j.agrformet.2013.09.004
153. Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data J. Joiner et al. 10.3390/rs10091346
154. Machine learning-based global maps of ecological variables and the challenge of assessing them H. Meyer & E. Pebesma 10.1038/s41467-022-29838-9
155. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate C. Beer et al. 10.1126/science.1184984
156. How well are we able to close the water budget at the global scale? F. Lehmann et al. 10.5194/hess-26-35-2022
157. Spatiotemporal differentiation of the terrestrial gross primary production response to climate constraints in a dryland mountain ecosystem of northwestern China H. Xu et al. 10.1016/j.agrformet.2019.107628
158. Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States N. Velpuri & G. Senay 10.1038/s41598-017-06359-w
159. Improvement of Soil Respiration Parameterization in a Dynamic Global Vegetation Model and Its Impact on the Simulation of Terrestrial Carbon Fluxes D. Kim et al. 10.1175/JCLI-D-18-0018.1
160. A Joint Soil‐Vegetation‐Atmospheric Water Tagging Procedure With WRF‐Hydro: Implementation and Application to the Case of Precipitation Partitioning in the Upper Danube River Basin J. Arnault et al. 10.1029/2019WR024780
161. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al. 10.1016/j.rse.2024.114072
162. Basin‐scale assessment of the land surface energy budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems Y. Xia et al. 10.1002/2015JD023889
163. The carbon sequestration potential of China's grasslands J. Song et al. 10.1002/ecs2.2452
164. Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011 G. Hu et al. 10.1016/j.rse.2014.10.017
165. Latent heat exchange in the boreal and arctic biomes V. Kasurinen et al. 10.1111/gcb.12640
166. Higher Temperature Sensitivity of Soil C Release to Atmosphere From Northern Permafrost Soils as Indicated by a Meta‐Analysis S. Ren et al. 10.1029/2020GB006688
167. Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
168. Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986) Y. Sun et al. 10.5194/gmd-14-1987-2021
169. Mapping carbon flux uncertainty and selecting optimal locations for future flux towers in the Great Plains Y. Gu et al. 10.1007/s10980-011-9699-7
170. Using precipitation, vertical root distribution, and satellite‐retrieved vegetation information to parameterize water stress in a Penman‐Monteith approach to evapotranspiration modeling under Mediterranean climate Y. Bai et al. 10.1002/2016MS000702
171. Impacts of hydraulic redistribution on eco-hydrological cycles: A case study over the Amazon basin Y. Wang et al. 10.1007/s11430-017-9219-5
172. Responses of Ecosystem Productivity to Anthropogenic Ozone and Aerosols at the 2060 X. Zhou et al. 10.1029/2023EF003781
173. On the land-atmosphere interaction in the summer monsoon transition zone in East Asia Q. Zhang et al. 10.1007/s00704-020-03239-8
174. The FLUXCOM ensemble of global land-atmosphere energy fluxes M. Jung et al. 10.1038/s41597-019-0076-8
175. A hybrid deep learning framework with physical process description for simulation of evapotranspiration H. Chen et al. 10.1016/j.jhydrol.2021.127422
176. Summer temperatures in Europe and land heat fluxes in observation-based data and regional climate model simulations A. Stegehuis et al. 10.1007/s00382-012-1559-x
177. Hydrologic Observation, Model, and Theory Congruence on Evapotranspiration Variance: Diagnosis of Multiple Observations and Land Surface Models R. Zeng & X. Cai 10.1029/2018WR022723
178. Improved NLDAS‐2 Noah‐simulated hydrometeorological products with an interim run Y. Xia et al. 10.1002/hyp.10190
179. Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison X. Lu et al. 10.1016/j.scitotenv.2018.06.269
180. Magnitude and variability of land evaporation and its components at the global scale D. Miralles et al. 10.5194/hess-15-967-2011
181. Patterns and controls of inter-annual variability in the terrestrial carbon budget B. Marcolla et al. 10.5194/bg-14-3815-2017
182. Spatiotemporal variations of global terrestrial vegetation climate potential productivity under climate change D. Cao et al. 10.1016/j.scitotenv.2021.145320
183. Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types H. Shi et al. 10.1016/j.ecolind.2016.08.022
184. Earth system data cubes unravel global multivariate dynamics M. Mahecha et al. 10.5194/esd-11-201-2020
185. The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange J. Joiner et al. 10.1016/j.rse.2014.06.022
186. Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation X. Hu et al. 10.1016/j.jhydrol.2021.126592
187. Forest Resistance and Resilience to 2002 Drought in Northern China X. Li et al. 10.3390/rs13152919
188. Assessment of the Effects of Climate Change on Evapotranspiration with an Improved Elasticity Method in a Nonhumid Area L. Tian et al. 10.3390/su10124589
189. Reflections on the surface energy imbalance problem R. Leuning et al. 10.1016/j.agrformet.2011.12.002
190. Hydrometeorological effects of historical land-conversion in an ecosystem-atmosphere model of Northern South America R. Knox et al. 10.5194/hess-19-241-2015
191. Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development B. Zhang et al. 10.1016/j.agrformet.2019.107810
192. Evaluation of the Effect of Low Soil Temperature Stress on the Land Surface Energy Fluxes Simulation in the Site and Global Offline Experiments S. Zhu et al. 10.1029/2020MS002403
193. Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data X. Chang et al. 10.1016/j.scitotenv.2023.162601
194. An R package of maximum entropy production model to estimate 41 years of global evapotranspiration Y. Yang et al. 10.1016/j.jhydrol.2022.128639
195. Potential impacts of wintertime soil moisture anomalies from agricultural irrigation at low latitudes on regional and global climates H. Wey et al. 10.1002/2015GL065883
196. Estimation of global GPP from GOME-2 and OCO-2 SIF by considering the dynamic variations of GPP-SIF relationship J. Bai et al. 10.1016/j.agrformet.2022.109180
197. SURFEX v8.0 interface with OASIS3-MCT to couple atmosphere with hydrology, ocean, waves and sea-ice models, from coastal to global scales A. Voldoire et al. 10.5194/gmd-10-4207-2017
198. Impacts of land use change and elevated CO<sub>2</sub> on the interannual variations and seasonal cycles of gross primary productivity in China B. Jia et al. 10.5194/esd-11-235-2020
199. Upscaling carbon fluxes from towers to the regional scale: Influence of parameter variability and land cover representation on regional flux estimates J. Xiao et al. 10.1029/2010JG001568
200. Effect of drought on productivity in a Costa Rican tropical dry forest S. Castro et al. 10.1088/1748-9326/aaacbc
201. Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States G. Senay et al. 10.1016/j.rse.2017.05.005
202. Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al. 10.1038/s41598-018-20024-w
203. Methods of Evaluating Thermodynamic Properties of Landscape Cover Using Multispectral Reflected Radiation Measurements by the Landsat Satellite Y. Puzachenko et al. 10.3390/e15093970
204. Development and evaluation of a variably saturated flow model in the global E3SM Land Model (ELM) version 1.0 G. Bisht et al. 10.5194/gmd-11-4085-2018
205. Estimation of Global Grassland Net Ecosystem Carbon Exchange Using a Model Tree Ensemble Approach W. Liang et al. 10.1029/2019JG005034
206. Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model G. Sun et al. 10.1029/2010JG001573
207. Estimation of global land surface evapotranspiration and its trend using a surface energy balance constrained deep learning model H. Chen et al. 10.1016/j.jhydrol.2023.130224
208. Improving Representation of Deforestation Effects on Evapotranspiration in the E3SM Land Model X. Cai et al. 10.1029/2018MS001551
209. Updating global energy balance based on the latest observations and reanalyses H. Cai & K. Wang 10.1360/TB-2022-0089
210. Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
211. Simulation of the present-day climate with the climate model INMCM5 E. Volodin et al. 10.1007/s00382-017-3539-7
212. Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region J. Xia et al. 10.1002/2016JG003384
213. The influence of two land-surface hydrology schemes on the regional climate of Africa using the RegCM4 model S. Anwar et al. 10.1007/s00704-018-2556-8
214. Ozone and haze pollution weakens net primary productivity in China X. Yue et al. 10.5194/acp-17-6073-2017
215. Resolving heterogeneous fluxes from tundra halves the growing season carbon budget S. Ludwig et al. 10.5194/bg-21-1301-2024
216. A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm L. Chao et al. 10.3390/rs13122414
217. Variability and Trends of Actual Evapotranspiration over West Africa: The Role of Environmental Drivers. O. Adeyeri & K. Ishola 10.1016/j.agrformet.2021.108574
218. Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al. 10.1016/j.agrformet.2021.108708
219. CLIMFILL v0.9: a framework for intelligently gap filling Earth observations V. Bessenbacher et al. 10.5194/gmd-15-4569-2022
220. A European summertime CO2biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements G. Broquet et al. 10.1029/2011JD016202
221. Spatiotemporal patterns of terrestrial gross primary production: A review A. Anav et al. 10.1002/2015RG000483
222. Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks D. Papale et al. 10.1002/2015JG002997
223. Understanding the Distinct Impacts of MCS and Non-MCS Rainfall on the Surface Water Balance in the Central United States Using a Numerical Water-Tagging Technique H. Hu et al. 10.1175/JHM-D-20-0081.1
224. Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification K. Zhang et al. 10.1029/2018WR023485
225. Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System Y. Xia et al. 10.1175/JHM-D-18-0139.1
226. Inferring regional sources and sinks of atmospheric CO<sub>2</sub> from GOSAT XCO<sub>2</sub> data F. Deng et al. 10.5194/acp-14-3703-2014
227. Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America Y. Zhang et al. 10.1016/j.rse.2016.05.015
228. Comparing Surface and Mid-Tropospheric CO2 Concentrations from Central U.S. Grasslands F. Cochran et al. 10.3390/e15020606
229. The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
230. Towards observation-based gridded runoff estimates for Europe L. Gudmundsson & S. Seneviratne 10.5194/hess-19-2859-2015
231. The carbon cycle in Mexico: past, present and future of C stocks and fluxes G. Murray-Tortarolo et al. 10.5194/bg-13-223-2016
232. A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
233. Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China’s forest ecosystem Z. Wang et al. 10.1016/j.heliyon.2023.e17243
234. Making ecological models adequate W. Getz et al. 10.1111/ele.12893
235. Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis B. Chen et al. 10.1016/j.rse.2012.06.007
236. Understanding the hydrologic sources and sinks in the Nile Basin using multisource climate and remote sensing data sets G. Senay et al. 10.1002/2013WR015231
237. The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation Z. Sun et al. 10.1007/s10584-020-02903-2
238. Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets K. Alsafadi et al. 10.3390/rs14246237
239. Evolution of light use efficiency models: Improvement, uncertainties, and implications Y. Pei et al. 10.1016/j.agrformet.2022.108905
240. Increased productivity of temperate vegetation in the preceding year drives early spring phenology in the subsequent year in northern China Q. Zhang et al. 10.1016/j.scitotenv.2023.166676
241. Potential feedback of recent vegetation changes on summer rainfall in the Sahel E. Lee et al. 10.1080/02723646.2015.1120139
242. Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis B. Mueller et al. 10.5194/hess-17-3707-2013
243. New model for capturing the variations of fertilizer‐induced emission factors of N2O F. Zhou et al. 10.1002/2014GB005046
244. Global patterns and climate drivers of water‐use efficiency in terrestrial ecosystems deduced from satellite‐based datasets and carbon cycle models Y. Sun et al. 10.1111/geb.12411
245. Northern Hemisphere Extratropical Turbulent Heat Fluxes in ASRv2 and Global Reanalyses F. Justino et al. 10.1175/JCLI-D-18-0535.1
246. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al. 10.1175/JHM-D-15-0063.1
247. A global study of GPP focusing on light‐use efficiency in a random forest regression model S. Wei et al. 10.1002/ecs2.1724
248. A comparison of optical and microwave scintillometers with eddy covariance derived surface heat fluxes M. Yee et al. 10.1016/j.agrformet.2015.07.004
249. Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks N. Zhu et al. 10.3390/en13061322
250. The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times A. Bloom et al. 10.1073/pnas.1515160113
251. Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. 10.1111/gcb.16503
252. Generating Spatially Robust Carbon Budgets From Flux Tower Observations A. Griebel et al. 10.1029/2019GL085942
253. Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES) E. Massoud et al. 10.5194/gmd-12-4133-2019
254. Contribution of climate change and vegetation restoration to interannual variability of evapotranspiration in the agro-pastoral ecotone in northern China X. Li et al. 10.1016/j.ecolind.2023.110485
255. Modeling the impact of spatiotemporal vegetation dynamics on groundwater recharge H. Anurag et al. 10.1016/j.jhydrol.2021.126584
256. ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP V. Eyring et al. 10.5194/gmd-9-1747-2016
257. Actual Evapotranspiration Estimates in Arid Cold Regions Using Machine Learning Algorithms with In Situ and Remote Sensing Data J. Mosre & F. Suárez 10.3390/w13060870
258. The CCSM4 Land Simulation, 1850–2005: Assessment of Surface Climate and New Capabilities D. Lawrence et al. 10.1175/JCLI-D-11-00103.1
259. The impact of simulated mesoscale convective systems on global precipitation: A multiscale modeling study W. Tao & J. Chern 10.1002/2016MS000836
260. High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation P. Sicard et al. 10.1016/j.atmosenv.2020.118004
261. Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms D. Yuan et al. 10.1109/TGRS.2022.3200988
262. MODIS Based Estimation of Forest Aboveground Biomass in China G. Yin et al. 10.1371/journal.pone.0130143
263. A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET N. Velpuri et al. 10.1016/j.rse.2013.07.013
264. Asymmetry of carbon sequestrations by plant and soil after forestation regulated by soil nitrogen S. Hong et al. 10.1038/s41467-023-38911-w
265. Effects of the surface coupling strength in the WRF/Noah-MP model on regional climate simulations over China X. Zhang et al. 10.1007/s00382-021-06129-5
266. Spatial‐temporal variations of evapotranspiration and runoff/precipitation ratios responding to the changing climate in the Pacific Northwest during 1921‐2006 M. Liu et al. 10.1029/2012JD018400
267. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
268. Technical Note: Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. 10.5194/acp-18-3027-2018
269. Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products Z. Xie et al. 10.1016/j.jhydrol.2024.130649
270. The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink A. Ahlström et al. 10.1126/science.aaa1668
271. Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
272. An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
273. Hydrologic resilience and Amazon productivity A. Ahlström et al. 10.1038/s41467-017-00306-z
274. Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology S. Cho et al. 10.1016/j.agrformet.2021.108653
275. A daily 0.25° × 0.25° hydrologically based land surface flux dataset for conterminous China, 1961–2017 Y. Miao & A. Wang 10.1016/j.jhydrol.2020.125413
276. Performance of a two-leaf light use efficiency model for mapping gross primary productivity against remotely sensed sun-induced chlorophyll fluorescence data M. Zan et al. 10.1016/j.scitotenv.2017.09.002
277. Reducing Uncertainties in Applying Remotely Sensed Land Use and Land Cover Maps in Land-Atmosphere Interaction: Identifying Change in Space and Time Y. He et al. 10.3390/rs10040506
278. Modeling land surface processes over a mountainous rainforest in Costa Rica using CLM4.5 and CLM5 J. Song et al. 10.5194/gmd-13-5147-2020
279. Assimilation of Remotely Sensed Leaf Area Index into the Noah-MP Land Surface Model: Impacts on Water and Carbon Fluxes and States over the Continental United States S. Kumar et al. 10.1175/JHM-D-18-0237.1
280. Optimizing Soil Moisture Station Networks for Future Climates V. Bessenbacher et al. 10.1029/2022GL101667
281. Vapor Flow Resistance of Dry Soil Layer to Soil Water Evaporation in Arid Environment: An Overview X. Wang 10.3390/w7084552
282. The Global Influence of Cloud Optical Thickness on Terrestrial Carbon Uptake P. Zhu et al. 10.1175/EI-D-17-0035.1
283. Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2022.113383
284. Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation S. Kumar et al. 10.5194/gmd-5-869-2012
285. Ground‐Based Multiangle Solar‐Induced Chlorophyll Fluorescence Observation and Angular Normalization for Assessing Crop Productivity Q. Zhang et al. 10.1029/2020JG006082
286. Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data G. Tramontana et al. 10.1016/j.rse.2015.07.015
287. Physics‐Constrained Machine Learning of Evapotranspiration W. Zhao et al. 10.1029/2019GL085291
288. Global land-surface evaporation estimated from satellite-based observations D. Miralles et al. 10.5194/hess-15-453-2011
289. Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India M. Girotto et al. 10.1002/2017GL072994
290. Fluxes all of the time? A primer on the temporal representativeness of FLUXNET H. Chu et al. 10.1002/2016JG003576
291. High‐Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 1. Model Development and Evaluation X. Yuan et al. 10.1029/2018MS001412
292. The Polar Vegetation Photosynthesis and Respiration Model: a parsimonious, satellite-data-driven model of high-latitude CO<sub>2</sub> exchange K. Luus & J. Lin 10.5194/gmd-8-2655-2015
293. A Vegetation Index to Estimate Terrestrial Gross Primary Production Capacity for the Global Change Observation Mission-Climate (GCOM-C)/Second-Generation Global Imager (SGLI) Satellite Sensor J. Thanyapraneedkul et al. 10.3390/rs4123689
294. Coupling of the CAS‐LSM Land‐Surface Model With the CAS‐FGOALS‐g3 Climate System Model J. Xie et al. 10.1029/2020MS002171
295. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products M. O'Sullivan et al. 10.1029/2020GB006613
296. On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates R. Singh et al. 10.3390/rs61110483
297. Upscaling net ecosystem CO2 exchanges in croplands: The application of integrating object-based image analysis and machine learning approaches D. Gao et al. 10.1016/j.scitotenv.2024.173887
298. Carbon Cycle Uncertainty in REgional Carbon Cycle Assessment and Processes (RECCAP) I. Enting et al. 10.5194/bg-9-2889-2012
299. Artificial intelligence and Eddy covariance: A review A. Lucarini et al. 10.1016/j.scitotenv.2024.175406
300. Estimation of Turbulent Heat Fluxes and Gross Primary Productivity by Assimilating Land Surface Temperature and Leaf Area Index X. He et al. 10.1029/2020WR028224
301. Changes in forest biomass over China during the 2000s and implications for management Z. Sun et al. 10.1016/j.foreco.2015.08.013
302. Distinguishing the drivers of trends in land carbon fluxes and plant volatile emissions over the past 3 decades X. Yue et al. 10.5194/acp-15-11931-2015
303. Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations X. He et al. 10.1016/j.agrformet.2024.110136
304. The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data S. Yang et al. 10.1016/j.agrformet.2020.107959
305. A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al. 10.1016/j.rse.2019.04.022
306. Uncertainties of three high-resolution actual evapotranspiration products across China: Comparisons and applications T. Yao et al. 10.1016/j.atmosres.2023.106682
307. Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data G. Bonan et al. 10.1029/2010JG001593
308. Recent global decline in rainfall interception loss due to altered rainfall regimes X. Lian et al. 10.1038/s41467-022-35414-y
309. Estimating carbon and showing impacts of drought using satellite data in regression-tree models S. Boyte et al. 10.1080/01431161.2017.1384592
310. Recent trends in gross primary production and their drivers: analysis and modelling at flux-site and global scales W. Cai & I. Prentice 10.1088/1748-9326/abc64e
311. Potential Added Value of Incorporating Human Water Use on the Simulation of Evapotranspiration and Precipitation in a Continental‐Scale Bedrock‐to‐Atmosphere Modeling System: A Validation Study Considering Observational Uncertainty J. Keune et al. 10.1029/2019MS001657
312. Constraining future terrestrial carbon cycle projections using observation‐based water and carbon flux estimates S. Mystakidis et al. 10.1111/gcb.13217
313. Development of a plant carbon–nitrogen interface coupling framework in a coupled biophysical-ecosystem–biogeochemical model (SSiB5/TRIFFID/DayCent-SOM v1.0) Z. Xiang et al. 10.5194/gmd-17-6437-2024
314. The Yale Interactive terrestrial Biosphere model version 1.0: description, evaluation and implementation into NASA GISS ModelE2 X. Yue & N. Unger 10.5194/gmd-8-2399-2015
315. PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity M. Willeit & A. Ganopolski 10.5194/gmd-9-3817-2016
316. Deconvolution of pigment and physiologically related photochemical reflectance index variability at the canopy scale over an entire growing season G. HMIMINA et al. 10.1111/pce.12509
317. Assessment of simulated water balance from Noah, Noah‐MP, CLM, and VIC over CONUS using the NLDAS test bed X. Cai et al. 10.1002/2014JD022113
318. An objective prior error quantification for regional atmospheric inverse applications P. Kountouris et al. 10.5194/bg-12-7403-2015
319. Using Artificial Neural Network Algorithm and Remote Sensing Vegetation Index Improves the Accuracy of the Penman-Monteith Equation to Estimate Cropland Evapotranspiration Y. Liu et al. 10.3390/app11188649
320. Vegetation dynamics and their effects on surface water-energy balance over the Three-North Region of China C. Deng et al. 10.1016/j.agrformet.2019.05.012
321. Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production R. Yu et al. 10.1016/j.agrformet.2023.109634
322. Quantitative Analysis of Terrestrial Water Storage Changes Under the Grain for Green Program in the Yellow River Basin M. Lv et al. 10.1029/2018JD029113
323. Evapotranspiration Reconstruction Based on Land Surface Models and Observed Water Budget Components While Considering Irrigation M. Lv et al. 10.1175/JHM-D-19-0090.1
324. Machine Learning Based Approaches to Accelerate Energy Materials Discovery and Optimization D. Krishnamurthy et al. 10.1021/acsenergylett.8b02278
325. Dual-model approaches for evapotranspiration analyses over homo- and heterogeneous land surface conditions K. Byun et al. 10.1016/j.agrformet.2014.07.001
326. NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment S. Kumar et al. 10.1175/JHM-D-17-0125.1
327. Coupled estimation of surface heat fluxes and vegetation dynamics from remotely sensed land surface temperature and fraction of photosynthetically active radiation S. Bateni et al. 10.1002/2013WR014573
328. Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. 10.1016/j.rse.2012.12.007
329. Aerosol optical depth thresholds as a tool to assess diffuse radiation fertilization of the land carbon uptake in China X. Yue & N. Unger 10.5194/acp-17-1329-2017
330. A review of remote sensing based actual evapotranspiration estimation K. Zhang et al. 10.1002/wat2.1168
331. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 2: Global benchmarking C. Seiler et al. 10.5194/gmd-14-2371-2021
332. Improved Spatiotemporal Representativeness and Bias Reduction of Satellite‐Based Evapotranspiration Retrievals via Use of In Situ Meteorology and Constrained Canopy Surface Resistance R. Sullivan et al. 10.1029/2018JG004744
333. Meta‐modeling soil organic carbon sequestration potential and its application at regional scale Z. Luo et al. 10.1890/12-0672.1
334. Variations in the Sensible Heating of Tibetan Plateau and Related Effects on Atmospheric Circulation Over South Asia L. Liu et al. 10.1007/s13143-020-00207-0
335. Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning X. Zhu et al. 10.1016/j.scitotenv.2022.159390
336. A ground-independent method for obtaining complete time series of in situ evapotranspiration observations W. Li et al. 10.1016/j.jhydrol.2024.130888
337. Rapid Urbanization and Agricultural Intensification Increase Regional Evaporative Water Consumption of the Loess Plateau W. Liang et al. 10.1029/2020JD033380
338. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al. 10.5194/bg-12-7185-2015
339. Irrigation, damming, and streamflow fluctuations of the Yellow River Z. Yin et al. 10.5194/hess-25-1133-2021
340. A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data S. Amani & H. Shafizadeh-Moghadam 10.1016/j.agwat.2023.108324
341. Global evaluation of gross primary productivity in the JULES land surface model v3.4.1 D. Slevin et al. 10.5194/gmd-10-2651-2017
342. Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms X. Cui et al. 10.1016/j.scitotenv.2021.145130
343. The Use of Remote Sensing-Based ET Estimates to Improve Global Hydrological Simulations in the Community Land Model Version 5.0 D. Wang et al. 10.3390/rs13214460
344. Uncertainties in partitioning evapotranspiration by two remote sensing-based models H. Chen et al. 10.1016/j.jhydrol.2021.127223
345. Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations S. Li et al. 10.3390/rs10111692
346. Comparison of the data‐driven top‐down and bottom‐up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling M. Kondo et al. 10.1002/2014JG002866
347. Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms G. Tramontana et al. 10.5194/bg-13-4291-2016
348. Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter L. Zou et al. 10.1016/j.jhydrol.2017.04.036
349. Evaluation of carbon fluxes and trends (2000–2008) in the Greater Platte River Basin: A sustainability study for potential biofuel feedstock development Y. Gu et al. 10.1016/j.biombioe.2012.09.048
350. GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets L. Wang et al. 10.3390/rs13061054
351. A generic composite measure of similarity between geospatial variables Y. Liu et al. 10.1016/j.ecoinf.2020.101169
352. Roles of Climate, Vegetation and Soil in Regulating the Spatial Variations in Ecosystem Carbon Dioxide Fluxes in the Northern Hemisphere Z. Chen et al. 10.1371/journal.pone.0125265
353. Warmer spring alleviated the impacts of 2018 European summer heatwave and drought on vegetation photosynthesis S. Wang et al. 10.1016/j.agrformet.2020.108195
354. Spatial-temporal consistency between gross primary productivity and solar-induced chlorophyll fluorescence of vegetation in China during 2007–2014 J. Ma et al. 10.1016/j.scitotenv.2018.05.245
355. Seamless terrestrial evapotranspiration estimation by machine learning models across the Contiguous United States Y. Zhao et al. 10.1016/j.ecolind.2024.112203
356. Climate impacts on regional ecosystem services in the United States from CMIP3-based multimodel comparisons B. Felzer & D. Sahagian 10.3354/cr01249
357. Water Balance in the Amazon Basin from a Land Surface Model Ensemble A. Getirana et al. 10.1175/JHM-D-14-0068.1
358. Satellite-Based Estimation of Carbon Dioxide Budget in Tropical Peatland Ecosystems H. Park et al. 10.3390/rs12020250
359. Improvement of the Irrigation Scheme in the ORCHIDEE Land Surface Model and Impacts of Irrigation on Regional Water Budgets Over China Z. Yin et al. 10.1029/2019MS001770
360. Fine resolution remote sensing spectra improves estimates of gross primary production of croplands G. Shirkey et al. 10.1016/j.agrformet.2022.109175
361. Global Evapotranspiration Datasets Assessment Using Water Balance in South America A. Ruhoff et al. 10.3390/rs14112526
362. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations A. Wolanin et al. 10.1016/j.rse.2019.03.002
363. Resolve the Clear‐Sky Continuous Diurnal Cycle of High‐Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature J. Wen et al. 10.1029/2022WR032227
364. Representing agriculture in Earth System Models: Approaches and priorities for development S. McDermid et al. 10.1002/2016MS000749
365. Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels P. Ji et al. 10.5194/hess-24-5439-2020
366. Schätzung der Verdunstung mithilfe von Machine- und Deep Learning-Methoden C. Brenner et al. 10.1007/s00506-021-00768-y
367. Upscaling terrestrial carbon dioxide fluxes in Alaska with satellite remote sensing and support vector regression M. Ueyama et al. 10.1002/jgrg.20095
368. Responses of gross primary productivity to diffuse radiation at global FLUXNET sites H. Zhou et al. 10.1016/j.atmosenv.2020.117905
369. A framework for constructing machine learning models with feature set optimisation for evapotranspiration partitioning A. Stapleton et al. 10.1016/j.acags.2022.100105
370. Enhanced Impact of Vegetation on Evapotranspiration in the Northern Drought-Prone Belt of China J. Zeng et al. 10.3390/rs15010221
371. Linking observation, modelling and satellite-based estimation of global land evapotranspiration J. Zhang et al. 10.1080/20964471.2020.1743612
372. Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using Machine Learning Methods Y. Bai et al. 10.3390/rs13050963
373. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia P. Dass et al. 10.5194/bg-13-45-2016
374. Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales H. Qin et al. 10.1002/2017MS001185
375. A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. 10.1016/j.jhydrol.2016.04.006
376. Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
377. The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing terrestrial biogeography and biogeochemistry based on plant functional trade-offs R. Pavlick et al. 10.5194/bg-10-4137-2013
378. Climate data induced uncertainty in model-based estimations of terrestrial primary productivity Z. Wu et al. 10.1088/1748-9326/aa6fd8
379. weather@home 2: validation of an improved global–regional climate modelling system B. Guillod et al. 10.5194/gmd-10-1849-2017
380. Evaluation of NLDAS‐2 evapotranspiration against tower flux site observations Y. Xia et al. 10.1002/hyp.10299
381. Spatiotemporal Changes and Driver Analysis of Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands W. Liu et al. 10.3390/rs14153563
382. Assessment of surface exchange coefficients in the Noah‐MP land surface model for different land‐cover types in China X. Zhang et al. 10.1002/joc.6981
383. A GRACE‐based assessment of interannual groundwater dynamics in the Community Land Model S. Swenson & D. Lawrence 10.1002/2015WR017582
384. Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017 H. Chen et al. 10.3390/rs12152473
385. Remote Sensing of Ecosystem Water Use Efficiency: A Review of Direct and Indirect Estimation Methods W. Cai et al. 10.3390/rs13122393
386. A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape scale heterogeneity P. Stoy et al. 10.1016/j.agrformet.2012.11.004
387. Estimating evapotranspiration with land data assimilation systems C. Peters‐Lidard et al. 10.1002/hyp.8387
388. The summer cooling effect under the projected restoration of Aral Sea in Central Asia H. He et al. 10.1007/s10584-022-03434-8
389. Global land moisture trends: drier in dry and wetter in wet over land H. Feng & M. Zhang 10.1038/srep18018
390. Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling S. Zhu et al. 10.1002/2016JD025744
391. Incorporation of a dynamic root distribution into CLM4.5: Evaluation of carbon and water fluxes over the Amazon Y. Wang et al. 10.1007/s00376-016-5226-8
392. Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States Y. Xia et al. 10.1175/JHM-D-16-0112.1
393. Carbon consequences of global hydrologic change, 1948–2009 C. Schwalm et al. 10.1029/2011JG001674
394. A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities R. Valentini et al. 10.5194/bg-11-381-2014
395. Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al. 10.3390/f14061201
396. Modeling Evapotranspiration over China’s Landmass from 1979 to 2012 Using Multiple Land Surface Models: Evaluations and Analyses S. Sun et al. 10.1175/JHM-D-16-0212.1
397. Lateral terrestrial water flow contribution to summer precipitation at continental scale – A comparison between Europe and West Africa with WRF‐Hydro‐tag ensembles J. Arnault et al. 10.1002/hyp.14183
398. Higher plant photosynthetic capability in autumn responding to low atmospheric vapor pressure deficit Y. Wang et al. 10.1016/j.xinn.2021.100163
399. Hydrological impacts of near‐surface soil warming on the Tibetan Plateau L. Liu et al. 10.1002/ppp.2049
400. Evaporation tagging and atmospheric water budget analysis with WRF: A regional precipitation recycling study for West Africa J. Arnault et al. 10.1002/2015WR017704
401. Responses of the terrestrial carbon cycle to drought over China: Modeling sensitivities of the interactive nitrogen and dynamic vegetation B. Jia et al. 10.1016/j.ecolmodel.2017.11.009
402. Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China Y. Li et al. 10.1029/2018JG004482
403. Evaluation of evapotranspiration estimates for two river basins on the Tibetan Plateau by a water balance method B. Xue et al. 10.1016/j.jhydrol.2013.04.005
404. Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution D. Helman et al. 10.5194/acp-15-12567-2015
405. Long‐term trends in evapotranspiration and runoff over the drainage basins of the Gulf of Mexico during 1901–2008 M. Liu et al. 10.1002/wrcr.20180
406. A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning W. Shangguan et al. 10.3390/f14050913
407. Mapped Hydroclimatology of Evapotranspiration and Drainage Runoff Using SMAP Brightness Temperature Observations and Precipitation Information R. Akbar et al. 10.1029/2018WR024459
408. Improving the remote sensing process of evapotranspiration in the SEBAL algorithm using meta-heuristic models M. Komasi & S. Sharghi 10.2166/ws.2023.237
409. Improving Land Surface Hydrological Simulations in China Using CLDAS Meteorological Forcing Data J. Liu et al. 10.1007/s13351-019-9067-0
410. Response of carbon uptake to abiotic and biotic drivers in an intensively managed Lei bamboo forest Y. Liu et al. 10.1016/j.jenvman.2018.06.046
411. Validating a Time Series of Annual Grass Percent Cover in the Sagebrush Ecosystem S. Boyte et al. 10.1016/j.rama.2018.09.004
412. A Water Balance–Based, Spatiotemporal Evaluation of Terrestrial Evapotranspiration Products across the Contiguous United States E. Carter et al. 10.1175/JHM-D-17-0186.1
413. ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? C. Albergel et al. 10.5194/hess-22-3515-2018
414. Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0 W. Li et al. 10.1016/j.accre.2023.02.001
415. Trends and regional distributions of land and ocean carbon sinks J. Sarmiento et al. 10.5194/bg-7-2351-2010
416. Pathway dependence of ecosystem responses in China to 1.5 °C global warming X. Yue et al. 10.5194/acp-20-2353-2020
417. Coupling Water and Carbon Fluxes to Constrain Estimates of Transpiration: The TEA Algorithm J. Nelson et al. 10.1029/2018JG004727
418. Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe H. Wang et al. 10.3389/fenvs.2023.1079520
419. Editorial for the Special Issue “Remote Sensing of Evapotranspiration (ET)” P. Wagle & P. Gowda 10.3390/rs11182146
420. Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland M. Maleki et al. 10.1016/j.agrformet.2022.109110
421. Approaching the potential of model-data comparisons of global land carbon storage Z. Wu et al. 10.1038/s41598-019-38976-y
422. Intercomparison and Uncertainty Assessment of Nine Evapotranspiration Estimates Over South America A. Sörensson & R. Ruscica 10.1002/2017WR021682
423. UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data S. Zhu et al. 10.1109/TGRS.2024.3439333
424. Simulation of the Ecosystem Productivity Responses to Aerosol Diffuse Radiation Fertilization Effects over the Pan-Arctic during 2001–19 Z. Zhang et al. 10.1007/s00376-023-2329-x
425. ENSO Drives interannual variation of forest woody growth across the tropics S. Rifai et al. 10.1098/rstb.2017.0410
426. Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
427. Basin‐scale runoff prediction: An Ensemble Kalman Filter framework based on global hydrometeorological data sets C. Lorenz et al. 10.1002/2014WR016794
428. What is global photosynthesis? History, uncertainties and opportunities Y. Ryu et al. 10.1016/j.rse.2019.01.016
429. Importance of crop varieties and management practices: evaluation of a process-based model for simulating CO<sub>2</sub> and H<sub>2</sub>O fluxes at five European maize (<i>Zea mays</i> L.) sites L. Li et al. 10.5194/bg-8-1721-2011
430. A Simulation Study of Global Evapotranspiration Components Using the Community Land Model M. Yang et al. 10.3390/atmos9050178
431. Conversion features of evapotranspiration responding to climate warming in transitional climate regions in northern China Q. Zhang et al. 10.1007/s00382-018-4364-3
432. Present and Future Changes in Land‐Atmosphere Coupling of Water and Energy Over Extratropical Forest Regions Q. Zhu et al. 10.1029/2022JD037887
433. The NASA-Goddard Multi-scale Modeling Framework–Land Information System: Global land/atmosphere interaction with resolved convection K. Mohr et al. 10.1016/j.envsoft.2012.02.023
434. Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years Y. Yao et al. 10.1111/gcb.13830
435. Does terrestrial drought explain global CO<sub>2</sub> flux anomalies induced by El Niño? C. Schwalm et al. 10.5194/bg-8-2493-2011
436. The trends in land surface heat fluxes over global monsoon domains and their responses to monsoon and precipitation J. Zeng & Q. Zhang 10.1038/s41598-020-62467-0
437. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
438. Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest J. Zeng et al. 10.1038/s41597-020-00653-5
439. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
440. The Canadian Earth System Model version 5 (CanESM5.0.3) N. Swart et al. 10.5194/gmd-12-4823-2019
441. Comparing concentration‐based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests A. Anav et al. 10.1111/gcb.13138
442. Evaluating the Temperature Difference Parameter in the SSEBop Model with Satellite-Observed Land Surface Temperature Data L. Ji et al. 10.3390/rs11161947
443. Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data D. Kumawat et al. 10.1016/j.rse.2024.114145
444. Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982–2018 R. Yu et al. 10.3390/rs13152993
445. Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance M. Yebra et al. 10.1016/j.rse.2015.03.016
446. Data-driven estimates of global nitrous oxide emissions from croplands Q. Wang et al. 10.1093/nsr/nwz087
447. Responses of Terrestrial Evapotranspiration to Extreme Drought: A Review Q. He et al. 10.3390/w14233847
448. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
449. Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets R. Wartenburger et al. 10.1088/1748-9326/aac4bb
450. Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017 Y. Zhang et al. 10.1016/j.rse.2018.12.031
451. Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels P. Alton 10.1016/j.agrformet.2020.108017
452. Increased carbon uptake and water use efficiency in global semi-arid ecosystems L. Zhang et al. 10.1088/1748-9326/ab68ec
453. Regional contribution to variability and trends of global gross primary productivity M. Chen et al. 10.1088/1748-9326/aa8978
454. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
455. Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes S. Zhu et al. 10.1016/j.agrformet.2021.108777
456. Continental-scale net radiation and evapotranspiration estimated using MODIS satellite observations Y. Jin et al. 10.1016/j.rse.2011.04.031
457. Uncertainty Quantification for the Noah‐MP Land Surface Model: A Case Study in a Grassland and Sandy Soil Region H. Wang et al. 10.1029/2023JD038556
458. Land-surface evapotranspiration derived from a first-principles primary production model S. Tan et al. 10.1088/1748-9326/ac29eb
459. A historical meta‐analysis of global terrestrial net primary productivity: are estimates converging? A. ITO 10.1111/j.1365-2486.2011.02450.x
460. Basin‐scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems Y. Xia et al. 10.1002/2015JD023733
461. A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations G. Zhang et al. 10.1016/j.rse.2022.113132
462. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
463. The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. 10.1016/j.jhydrol.2023.129971
464. Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012 J. Wang et al. 10.1002/2016JG003417
465. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. 10.3390/rs10081199
466. Mapping Surface Heat Fluxes by Assimilating SMAP Soil Moisture and GOES Land Surface Temperature Data Y. Lu et al. 10.1002/2017WR021415
467. A national-scale drought assessment in Uganda based on evapotranspiration deficits from the Bouchet hypothesis C. Kyatengerwa et al. 10.1016/j.jhydrol.2019.124348
468. Integrated Validation of Coarse Remotely Sensed Evapotranspiration Products over Heterogeneous Land Surfaces Y. Zhang et al. 10.3390/rs14143467
469. Earlier leaf-flushing suppressed ecosystem productivity by draining soil water in the Mongolian Plateau Z. Yu et al. 10.1016/j.agrformet.2017.11.035
470. Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data Q. Shi & S. Liang 10.5194/acp-14-5659-2014
471. A framework for estimating actual evapotranspiration at weather stations without flux observations by combining data from MODIS and flux towers through a machine learning approach C. Zhang et al. 10.1016/j.jhydrol.2021.127047
472. Enlarged Nonclosure of Surface Energy Balance With Increasing Atmospheric Instabilities Linked to Changes in Coherent Structures Z. Gao et al. 10.1029/2020JD032889
473. The Difference between the Responses of Gross Primary Production and Sun-Induced Chlorophyll Fluorescence to the Environment Based on Tower-Based and TROPOMI SIF Data J. Bai et al. 10.3390/app14020771
474. Sensible and Latent Heat Flux Variability and Response to Dry–Wet Soil Moisture Zones Across China M. Li & Z. Ma 10.1007/s10546-014-9963-x
475. Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation) M. Marshall et al. 10.1016/j.agrformet.2015.12.025
476. A global database of soil respiration data B. Bond-Lamberty & A. Thomson 10.5194/bg-7-1915-2010
477. A Study of Land Surface Albedo Conversion Formulas Using Three-Dimensional Canopy Radiative Transfer Modeling J. Adams et al. 10.1109/LGRS.2016.2535160
478. Modeling and Monitoring Terrestrial Primary Production in a Changing Global Environment: Toward a Multiscale Synthesis of Observation and Simulation S. Pan et al. 10.1155/2014/965936
479. Evaluation of a terrestrial carbon cycle submodel in an Earth system model using networks of eddy covariance observations T. Suzuki & K. Ichii 10.1111/j.1600-0889.2010.00478.x
480. Decelerating Autumn CO2 Release With Warming Induced by Attenuated Temperature Dependence of Respiration in Northern Ecosystems D. Liu et al. 10.1029/2018GL077447
481. The Dependence of Ecosystem Water Use Partitioning on Vegetation Productivity at the Inter‐Annual Time Scale Z. Jing et al. 10.1029/2020JD033756
482. Investigating spatial climate relations using CARTs: An application to persistent hot days in a multimodel ensemble B. Orlowsky & S. Seneviratne 10.1029/2010JD015188
483. Assessing and Improving Land Surface Model Outputs Over Africa Using GRACE, Field, and Remote Sensing Data M. Ahmed et al. 10.1007/s10712-016-9360-8
484. Separating the effects of climate change and human activity on water use efficiency over the Beijing-Tianjin Sand Source Region of China L. Guo et al. 10.1016/j.scitotenv.2019.07.067
485. Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins M. Pan et al. 10.1175/JCLI-D-11-00300.1
486. The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers V. Paca et al. 10.1186/s13717-019-0158-8
487. Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS) C. Jiang & Y. Ryu 10.1016/j.rse.2016.08.030
488. Terrestrial evaporation response to modes of climate variability B. Martens et al. 10.1038/s41612-018-0053-5
489. Remote Sensing Evaluation of CLM4 GPP for the Period 2000–09* J. Mao et al. 10.1175/JCLI-D-11-00401.1
490. Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends J. Mao et al. 10.1088/1748-9326/10/9/094008
491. Interactive Crop Management in the Community Earth System Model (CESM1): Seasonal Influences on Land–Atmosphere Fluxes S. Levis et al. 10.1175/JCLI-D-11-00446.1
492. Leaching of dissolved organic carbon from mineral soils plays a significant role in the terrestrial carbon balance M. Nakhavali et al. 10.1111/gcb.15460
493. 1982–2010 Trends of Light Use Efficiency and Inherent Water Use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations A. Traore et al. 10.3390/rs6098923
494. Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models A. Bennett & B. Nijssen 10.1029/2020WR029328
495. Global intercomparison of 12 land surface heat flux estimates C. Jiménez et al. 10.1029/2010JD014545
496. Assessment of German nitrous oxide emissions using empirical modelling approaches R. Dechow & A. Freibauer 10.1007/s10705-011-9458-9
497. Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years X. Li et al. 10.1016/j.agrformet.2018.04.020
498. Consistency of Estimated Global Water Cycle Variations over the Satellite Era F. Robertson et al. 10.1175/JCLI-D-13-00384.1
499. Changes of actual evapotranspiration and its components in the Yangtze River valley during 1980–2014 from satellite assimilation product J. Lu et al. 10.1007/s00704-019-02913-w