90 citations as recorded by crossref.

1. Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems: Comparing between methods, drivers, and gap-lengths S. Zhu et al. 10.1016/j.agrformet.2023.109365
2. MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
3. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J. Irvin et al. 10.1016/j.agrformet.2021.108528
4. A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) B. Qu et al. 10.1088/1748-9326/ace376
5. Impacts of climate change, population growth, and power sector decarbonization on urban building energy use C. Wang et al. 10.1038/s41467-023-41458-5
6. A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. 10.1007/s12665-024-11982-8
7. FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling A. Ukkola et al. 10.5194/gmd-10-3379-2017
8. Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017 Y. Zheng et al. 10.5194/essd-12-2725-2020
9. Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations S. Li et al. 10.3390/rs10111692
10. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
11. Diagnosis of environmental controls on daily actual evapotranspiration across a global flux tower network: the roles of water and energy Q. Han et al. 10.1088/1748-9326/abcc8c
12. Harmonized gap-filled datasets from 20 urban flux tower sites M. Lipson et al. 10.5194/essd-14-5157-2022
13. The Kulbäcksliden Research Infrastructure: a unique setting for northern peatland studies K. Noumonvi et al. 10.3389/feart.2023.1194749
14. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data G. Pastorello et al. 10.1038/s41597-020-0534-3
15. Identification of Optimum Temperatures for Photosynthetic Production in Subtropical Coastal Ecosystems: Implications for CO2 Sequestration in a Warming World H. McGowan et al. 10.1029/2020JG005678
16. Assessing and improving the high uncertainty of global gross primary productivity products based on deep learning under extreme climatic conditions L. Qian et al. 10.1016/j.scitotenv.2024.177344
17. Modeling the impacts of diffuse light fraction on photosynthesis in ORCHIDEE (v5453) land surface model Y. Zhang et al. 10.5194/gmd-13-5401-2020
18. Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems N. MacBean et al. 10.1088/1748-9326/ac1a38
19. Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops H. Li et al. 10.1016/j.compag.2022.107261
20. Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations P. Dirmeyer et al. 10.1175/JHM-D-17-0152.1
21. Improving maize growth processes in the community land model: Implementation and evaluation B. Peng et al. 10.1016/j.agrformet.2017.11.012
22. Higher plant photosynthetic capability in autumn responding to low atmospheric vapor pressure deficit Y. Wang et al. 10.1016/j.xinn.2021.100163
23. Hot moments in ecosystem fluxes: High GPP anomalies exert outsized influence on the carbon cycle and are differentially driven by moisture availability across biomes S. Kannenberg et al. 10.1088/1748-9326/ab7b97
24. Underestimates of Grassland Gross Primary Production in MODIS Standard Products X. Zhu et al. 10.3390/rs10111771
25. Evaluation of the intrinsic temperature sensitivity of ecosystem respiration in typical ecosystems of an endorheic river basin D. Wu et al. 10.1016/j.agrformet.2023.109393
26. Postdrought Recovery Time Across Global Terrestrial Ecosystems S. Zhang et al. 10.1029/2020JG005699
27. Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
28. Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions M. Ueyama et al. 10.1111/gcb.16594
29. Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2) V. Bastrikov et al. 10.5194/gmd-11-4739-2018
30. Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms X. Cui et al. 10.1016/j.scitotenv.2021.145130
31. Global trends in land-atmosphere CO<SUB>2</SUB> exchange fluxes: an analysis of a flux measurement dataset and comparison with terrestrial model simulations A. ITO 10.2480/agrmet.D-21-00015
32. Filling Gaps in Hourly Air Temperature Data Using Debiased ERA5 Data M. Lompar et al. 10.3390/atmos10010013
33. Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa A. Mengistu et al. 10.5194/bg-18-2843-2021
34. The Effect of Soil on the Summertime Surface Energy Budget of a Humid Subarctic Tundra in Northern Quebec, Canada G. Lackner et al. 10.1175/JHM-D-20-0243.1
35. Wetland flux controls: how does interacting water table levels and temperature influence carbon dioxide and methane fluxes in northern Wisconsin? C. Pugh et al. 10.1007/s10533-017-0414-x
36. Updating global energy balance based on the latest observations and reanalyses H. Cai & K. Wang 10.1360/TB-2022-0089
37. Evaluation of Environmental Controls on Terrestrial Net Ecosystem Exchange of CO2: A Global Perspective From the FLUXNET Sites Z. Kong et al. 10.1029/2022JD037217
38. Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. 10.1016/j.rse.2022.113324
39. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
40. 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. 10.5194/gmd-10-1621-2017
41. Pairing FLUXNET sites to validate model representations of land-use/land-cover change L. Chen et al. 10.5194/hess-22-111-2018
42. A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations J. Ryder et al. 10.5194/gmd-9-223-2016
43. Fluxes all of the time? A primer on the temporal representativeness of FLUXNET H. Chu et al. 10.1002/2016JG003576
44. Comparison of Nighttime With Daytime Evapotranspiration Responses to Environmental Controls Across Temporal Scales Along a Climate Gradient Q. Han et al. 10.1029/2021WR029638
45. FLUXNET-CH&lt;sub&gt;4&lt;/sub&gt;: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. 10.5194/essd-13-3607-2021
46. Global transpiration data from sap flow measurements: the SAPFLUXNET database R. Poyatos et al. 10.5194/essd-13-2607-2021
47. Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data K. Bórnez et al. 10.3390/rs12183077
48. Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
49. Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data A. Hoek van Dijke et al. 10.5194/bg-17-4443-2020
50. A Simple New Model for Incoming Solar Radiation Dependent Only on Screen-Level Relative Humidity M. Lindauer et al. 10.1175/JAMC-D-16-0085.1
51. Testing the suitability of Marginal Distribution Sampling as a gap‐filling method using some meteorological data from seven sites in West Africa D. Koukoui et al. 10.1002/met.2152
52. First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems A. Abdi et al. 10.1016/j.jag.2019.01.018
53. Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266) Y. Zhang et al. 10.5194/gmd-15-9111-2022
54. Critical comparison of actual evapotranspiration estimates using ground based, remotely sensed, and simulated data in the USA S. Kibria et al. 10.1016/j.agwat.2021.106753
55. Diagnosing the Temperature Sensitivity of Ecosystem Respiration in Northern High‐Latitude Regions D. Wu et al. 10.1029/2020JG005998
56. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals Y. Zhang et al. 10.1016/j.rse.2017.12.009
57. Assimilation of Earth Observation Data Over Cropland and Grassland Sites into a Simple GPP Model M. Meroni et al. 10.3390/rs11070749
58. Potential of rainfall data hybridization in a data-scarce region F. Wambura 10.1016/j.sciaf.2020.e00449
59. The growth of shrubs on high Arctic tundra at Bylot Island: impact on snow physical properties and permafrost thermal regime F. Domine et al. 10.5194/bg-13-6471-2016
60. Synthetic ozone deposition and stomatal uptake at flux tower sites J. Ducker et al. 10.5194/bg-15-5395-2018
61. Evaluating the performance of land surface model ORCHIDEE-CAN v1.0 on water and energy flux estimation with a single- and multi-layer energy budget scheme Y. Chen et al. 10.5194/gmd-9-2951-2016
62. Evaluation of the Soil, Vegetation, and Snow (SVS) Land Surface Model for the Simulation of Surface Energy Fluxes and Soil Moisture under Snow-Free Conditions G. Leonardini et al. 10.3390/atmos11030278
63. Introducing water-stressed shrubland into the Canadian Land Surface Scheme S. Sun & D. Verseghy 10.1016/j.jhydrol.2019.124157
64. Comparison of Artificial Neural Network and Regression Models for Filling Temporal Gaps of Meteorological Variables Time Series E. Dyukarev 10.3390/app13042646
65. Stomatal response to decreased relative humidity constrains the acceleration of terrestrial evapotranspiration M. Xiao et al. 10.1088/1748-9326/ab9967
66. Improving time upscaling of instantaneous evapotranspiration based on machine learning models D. Yang et al. 10.1080/20964471.2024.2423431
67. Seasonal evolution of the effective thermal conductivity of the snow and the soil in high Arctic herb tundra at Bylot Island, Canada F. Domine et al. 10.5194/tc-10-2573-2016
68. OzFlux data: network integration from collection to curation P. Isaac et al. 10.5194/bg-14-2903-2017
69. High-resolution spatially explicit land surface model calibration using field-scale satellite-based daily evapotranspiration product Y. Yang et al. 10.1016/j.jhydrol.2020.125730
70. Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production N. Vuichard et al. 10.5194/gmd-12-4751-2019
71. Upscaling evapotranspiration from the instantaneous to the daily time scale: Assessing six methods including an optimized coefficient based on worldwide eddy covariance flux network L. Jiang et al. 10.1016/j.jhydrol.2021.126135
72. MODIS PRI performance to track Light Use Efficiency of a Mediterranean coniferous forest: Determinants, restrictions and the role of LUE range T. Vanikiotis et al. 10.1016/j.agrformet.2021.108518
73. Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah‐MP Dynamic Vegetation Modeling J. Li et al. 10.1029/2019MS001914
74. Multi-year carbon and water exchanges over contrasting ecosystems on a sub-tropical sand island A. Lowry et al. 10.1016/j.agrformet.2021.108404
75. Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262) Y. Chen et al. 10.5194/gmd-11-771-2018
76. Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle N. Raoult et al. 10.5194/bg-21-1017-2024
77. Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites N. MacBean et al. 10.5194/hess-24-5203-2020
78. ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe M. Camino-Serrano et al. 10.5194/gmd-11-937-2018
79. Phenology-Based Maximum Light Use Efficiency for Modeling Gross Primary Production across Typical Terrestrial Ecosystems Y. Lv et al. 10.3390/rs15164002
80. The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set T. Sueyoshi et al. 10.5194/essd-8-1-2016
81. Attribute parameter characterized the seasonal variation of gross primary productivity (αGPP): Spatiotemporal variation and influencing factors W. Zhang et al. 10.1016/j.agrformet.2019.107774
82. Impacts of high precipitation on the energy and water budgets of a humid boreal forest P. Isabelle et al. 10.1016/j.agrformet.2019.107813
83. Carbon Flux Phenology from the Sky: Evaluation for Maize and Soybean A. McCombs et al. 10.1175/JTECH-D-17-0004.1
84. Evaluation of the Latest MODIS GPP Products across Multiple Biomes Using Global Eddy Covariance Flux Data L. Wang et al. 10.3390/rs9050418
85. The AmeriFlux network: A coalition of the willing K. Novick et al. 10.1016/j.agrformet.2017.10.009
86. Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site M. Barrere et al. 10.5194/gmd-10-3461-2017
87. Evaluation of Land Surface Subprocesses and Their Impacts on Model Performance With Global Flux Data J. Li et al. 10.1029/2018MS001606
88. Causes for the increases in both evapotranspiration and water yield over vegetated mainland China during the last two decades S. Sun et al. 10.1016/j.agrformet.2022.109118
89. 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
90. A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations J. Ryder et al. 10.5194/gmdd-7-8649-2014