124 citations as recorded by crossref.

1. Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration Y. Ke et al. 10.1016/j.isprsjprs.2017.02.006
2. A semi-empirical model for estimating diffuse solar near infrared radiation in Thailand using ground- and satellite-based data for mapping applications D. Charuchittipan et al. 10.1016/j.renene.2017.10.045
3. Estimation of spatial and temporal changes in net primary production based on Carnegie Ames Stanford Approach (CASA) model in semi-arid rangelands of Semirom County, Iran F. Hadian et al. 10.1007/s40333-019-0060-3
4. Carbon balance of South Asia constrained by passenger aircraft CO<sub>2</sub> measurements P. Patra et al. 10.5194/acp-11-4163-2011
5. Simulation of evapotranspiration and carbon dioxide flux in the wheat‐maize rotation croplands of the North China Plain using the Simple Biosphere Model H. Lei et al. 10.1002/hyp.8026
6. Prior biosphere model impact on global terrestrial CO<sub>2</sub> fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
7. ORCHIDEE‐STICS, a process‐based model of sugarcane biomass production: calibration of model parameters governing phenology A. Valade et al. 10.1111/gcbb.12074
8. The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data M. McCabe et al. 10.5194/gmd-9-283-2016
9. Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches Y. Ke et al. 10.3390/rs8030215
10. Implementation and calibration of short-rotation eucalypt plantation module within the ECOSMOS land surface model M. Colmanetti et al. 10.1016/j.agrformet.2022.109043
11. A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models S. Gourdji et al. 10.1029/2021JG006290
12. Simulating crop phenology in the Community Land Model and its impact on energy and carbon fluxes M. Chen et al. 10.1002/2014JG002780
13. Crop planting date matters: Estimation methods and effect on future yields L. Dobor et al. 10.1016/j.agrformet.2016.03.023
14. Use of Landsat and MODIS data to remotely estimate Russia’s sown area K. de Beurs & G. Ioffe 10.1080/1747423X.2013.798038
15. Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence J. Hu et al. 10.3390/rs10020250
16. Quantifying Northern High Latitude Gross Primary Productivity (GPP) Using Carbonyl Sulfide (OCS) L. Kuai et al. 10.1029/2021GB007216
17. Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations L. Liu et al. 10.3390/rs10101540
18. Does vapor pressure deficit drive the seasonality of δ13C of the net land‐atmosphere CO2 exchange across the United States? B. Raczka et al. 10.1002/2017JG003795
19. Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US N. Parazoo et al. 10.1029/2021GB006956
20. Predicting deciduous forest carbon uptake phenology by upscaling FLUXNET measurements using remote sensing data A. Gonsamo et al. 10.1016/j.agrformet.2012.06.006
21. Biological and Environmental Controls on Evaporative Fractions at AmeriFlux Sites C. Zhou & K. Wang 10.1175/JAMC-D-15-0126.1
22. Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region R. Hannun et al. 10.1088/1748-9326/ab7391
23. Climate controls over phenology and amplitude of net ecosystem productivity in a wheat-maize rotation system in the North China plain Z. Yue et al. 10.1016/j.agrformet.2023.109411
24. Comparing crop growth and carbon budgets simulated across AmeriFlux agricultural sites using the Community Land Model (CLM) M. Chen et al. 10.1016/j.agrformet.2018.03.012
25. Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain Y. CHEN et al. 10.1016/S2095-3119(20)63178-1
26. Implementation of dynamic crop growth processes into a land surface model: evaluation of energy, water and carbon fluxes under corn and soybean rotation Y. Song et al. 10.5194/bg-10-8039-2013
27. Assessment of WRF-CO2 simulated vertical profiles of CO2 over Delhi region using aircraft and global model data S. Ballav et al. 10.1007/s44273-024-00030-3
28. An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO 2 concentration data S. Ogle et al. 10.1088/1748-9326/10/3/034012
29. Improving arable land heterogeneity information in available land cover products for land surface modelling using MERIS NDVI data F. Zabel et al. 10.5194/hess-14-2073-2010
30. Validation of a Process-Based Agro-Ecosystem Model (Agro-IBIS) for Maize in Xinjiang, Northwest China T. Amuti et al. 10.3390/agronomy8030029
31. The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar‐Derived Estimates of Root‐Zone Soil Moisture K. Zhang et al. 10.1029/2018JG004589
32. Simulating Agriculture in the Community Land Model Version 5 D. Lombardozzi et al. 10.1029/2019JG005529
33. Evaluation of continental carbon cycle simulations with North American flux tower observations B. Raczka et al. 10.1890/12-0893.1
34. A review of coupled hydrologic and crop growth models S. Siad et al. 10.1016/j.agwat.2019.105746
35. A regional high-resolution carbon flux inversion of North America for 2004 A. Schuh et al. 10.5194/bg-7-1625-2010
36. MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data X. Che et al. 10.3390/rs14225876
37. Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages C. Diao 10.1016/j.rse.2020.111960
38. Two perspectives on the coupled carbon, water and energy exchange in the planetary boundary layer M. Combe et al. 10.5194/bg-12-103-2015
39. Optimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic data L. Wu et al. 10.1029/2011JD016198
40. 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
41. A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 2: Model validation Y. Masutomi et al. 10.5194/gmd-9-4155-2016
42. Heat and Drought Stress Advanced Global Wheat Harvest Timing from 1981–2014 S. Ren et al. 10.3390/rs11080971
43. Increasing temperature shortened the carbon uptake period and decreased the cumulative net ecosystem productivity in a maize cropland in Northeast China L. Zhou et al. 10.1016/j.fcr.2021.108150
44. Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+ A. Nkwasa et al. 10.5194/hess-26-71-2022
45. Accounting for interannual variability in agricultural intensification: The potential of crop selection in Sub-Saharan Africa P. Bodin et al. 10.1016/j.agsy.2016.07.012
46. Comparison of Crop Growth and Evapotranspiration Simulations between Noah Multi Physics Model and CERES-Rice Model K. Kim et al. 10.5532/KJAFM.2013.15.4.282
47. Spring enhancement and summer reduction in carbon uptake during the 2018 drought in northwestern Europe N. Smith et al. 10.1098/rstb.2019.0509
48. Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
49. Optimization of sowing date for spring maize in China's loess plateau based on presowing temperature and soil water content H. Shen et al. 10.1002/jsfa.12427
50. Coupling land surface and crop growth models for predicting evapotranspiration and carbon exchange in wheat-maize rotation croplands H. Lei et al. 10.5194/bg-7-3363-2010
51. Seasonal variability of the parameters of the Ball–Berry model of stomatal conductance in maize (Zea mays L.) and sunflower (Helianthus annuus L.) under well‐watered and water‐stressed conditions G. Miner & W. Bauerle 10.1111/pce.12990
52. Impact of environmental changes and land management practices on wheat production in India S. Gahlot et al. 10.5194/esd-11-641-2020
53. Model‐data comparison of MCI field campaign atmospheric CO2 mole fractions L. Díaz Isaac et al. 10.1002/2014JD021593
54. Development and application of a weather data service client for preparation of weather input files to a crop model C. Lee et al. 10.1016/j.compag.2015.03.021
55. Divergent climate feedbacks on winter wheat growing and dormancy periods as affected by sowing date in the North China Plain F. Liu et al. 10.5194/bg-18-2275-2021
56. A biophysical model of Sugarcane growth S. CUADRA et al. 10.1111/j.1757-1707.2011.01105.x
57. Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits G. Miner & W. Bauerle 10.1111/pce.13511
58. Influence of Soil Properties in Different Management Systems: Estimating Soybean Water Changes in the Agro-IBIS Model V. Moreira et al. 10.1175/EI-D-16-0033.1
59. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology K. Amankulova et al. 10.1080/10106049.2023.2197509
60. Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. 10.1029/2022MS003171
61. A Simple Crop Phenology Algorithm in the Land Surface Model CN‐CLASS K. Chang et al. 10.2134/agronj2013.0164
62. Modelling daily to seasonal carbon fluxes and annual net ecosystem carbon balance of cereal grain-cropland using DailyDayCent: A model data comparison N. Senapati et al. 10.1016/j.agee.2017.10.003
63. Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska K. Williams et al. 10.5194/gmd-10-1291-2017
64. A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis C. Schwalm et al. 10.1029/2009JG001229
65. Grain Yield Observations Constrain Cropland CO2 Fluxes Over Europe M. Combe et al. 10.1002/2017JG003937
66. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data Y. Zhang et al. 10.1016/j.agrformet.2016.04.003
67. Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions L. Wu et al. 10.3402/tellusb.v65i0.20894
68. Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data T. Sakamoto et al. 10.1016/j.rse.2011.06.015
69. Understanding Phenological Stages of Pomegranates vis-à-vis Flowering and Fruiting Regulation R. Kumar et al. 10.2478/johr-2021-0013
70. A global reanalysis of vegetation phenology R. Stöckli et al. 10.1029/2010JG001545
71. Predicting the net carbon exchanges of crop rotations in Europe with an agro-ecosystem model S. Lehuger et al. 10.1016/j.agee.2010.06.011
72. Development of the Biome-BGC model for simulation of managed herbaceous ecosystems D. Hidy et al. 10.1016/j.ecolmodel.2011.11.008
73. Spatio-temporal variability of XCO2 over Indian region inferred from Orbiting Carbon Observatory (OCO-2) satellite and Chemistry Transport Model R. Kunchala et al. 10.1016/j.atmosres.2022.106044
74. Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape A. Schuh et al. 10.1111/gcb.12141
75. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4) K. Haynes et al. 10.1029/2018MS001540
76. North American CO<sub>2</sub> exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion S. Gourdji et al. 10.5194/bg-9-457-2012
77. Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis P. Stoy et al. 10.5194/bg-10-6893-2013
78. Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China J. Zou et al. 10.1007/s00376-018-8160-0
79. Long-term observed evapotranspiration and its variation caused by anthropogenic controls in an ecofragile region Z. Xie et al. 10.1016/j.agee.2022.108008
80. WRFv3.2-SPAv2: development and validation of a coupled ecosystem–atmosphere model, scaling from surface fluxes of CO<sub>2</sub> and energy to atmospheric profiles T. Smallman et al. 10.5194/gmd-6-1079-2013
81. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
82. Correction to a Simple Biosphere Model 2 (SiB2) Simulation of Energy and Carbon Dioxide Fluxes over a Wheat Cropland in East China Using the Random Forest Model S. Zhang et al. 10.3390/atmos13122080
83. A meteorological forcing data set for global crop modeling: Development, evaluation, and intercomparison T. Iizumi et al. 10.1002/2013JD020130
84. Seasonality of soil water exchange in the soybean growing season in southern Brazil V. Moreira et al. 10.1590/0103-9016-2014-0056
85. START: A data preparation tool for crop simulation models using web-based soil databases K. Kim et al. 10.1016/j.compag.2018.08.023
86. Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0 T. Boas et al. 10.5194/gmd-14-573-2021
87. Contrasting wheat phenological responses to climate change in global scale S. Ren et al. 10.1016/j.scitotenv.2019.01.394
88. Implementation of a dynamic specific leaf area (SLA) into a land surface model (LSM) incorporated crop-growth model Z. Li et al. 10.1016/j.compag.2023.108238
89. Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. 10.1029/2019MS001818
90. Prediction of Potential and Actual Evapotranspiration Fluxes Using Six Meteorological Data-Based Approaches for a Range of Climate and Land Cover Types M. Mobilia & A. Longobardi 10.3390/ijgi10030192
91. Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. 10.1016/j.agrformet.2013.11.008
92. Are climatic or land cover changes the dominant cause of runoff trends in the Upper Mississippi River Basin? C. Frans et al. 10.1002/grl.50262
93. Evaluating of simulated carbon flux phenology over a cropland ecosystem in a semiarid area of China with SiBcrop Q. Du et al. 10.1007/s00484-016-1207-y
94. Incorporating dynamic crop growth processes and management practices into a terrestrial biosphere model for simulating crop production in the United States: Toward a unified modeling framework Y. You et al. 10.1016/j.agrformet.2022.109144
95. Modeling crop growth and land surface energy fluxes in wheat–maize double cropping system in the North China Plain F. Liu et al. 10.1007/s00704-020-03353-7
96. JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator T. Osborne et al. 10.5194/gmd-8-1139-2015
97. Analysis of the Diurnal Pattern of Evaporative Fraction and Its Controlling Factors over Croplands in the Northern China D. YANG et al. 10.1016/S2095-3119(13)60540-7
98. Hybrid phenology matching model for robust crop phenological retrieval C. Diao et al. 10.1016/j.isprsjprs.2021.09.011
99. The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
100. Evaluating terrestrial CO<sub>2</sub> flux diagnoses and uncertainties from a simple land surface model and its residuals T. Hilton et al. 10.5194/bg-11-217-2014
101. Peak growing season gross uptake of carbon in North America is largest in the Midwest USA T. Hilton et al. 10.1038/nclimate3272
102. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling K. Haynes et al. 10.1029/2018MS001541
103. Estimating crop net primary production using national inventory data and MODIS-derived parameters V. Bandaru et al. 10.1016/j.isprsjprs.2013.03.005
104. Carbon and energy fluxes in cropland ecosystems: a model-data comparison E. Lokupitiya et al. 10.1007/s10533-016-0219-3
105. Influences of agricultural phenology dynamic on land surface biophysical process and climate feedback F. Liu et al. 10.1007/s11442-017-1423-3
106. Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model N. Vuichard et al. 10.1016/j.agee.2016.04.017
107. Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain Z. Liu et al. 10.1016/j.isprsjprs.2017.05.015
108. Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe S. Olin et al. 10.5194/bg-12-2489-2015
109. Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe S. Ma et al. 10.1016/j.ecolmodel.2011.08.025
110. How much has the increase in atmospheric CO2 directly affected past soybean production? G. Sakurai et al. 10.1038/srep04978
111. Contributions of historical changes in sowing date and climate to U.S. maize yield trend: An evaluation using large-area crop modeling and data assimilation T. IIZUMI et al. 10.2480/agrmet.D-13-00023
112. Evaluation of carbonyl sulfide biosphere exchange in the Simple Biosphere Model (SiB4) L. Kooijmans et al. 10.5194/bg-18-6547-2021
113. Models meet data: Challenges and opportunities in implementing land management in Earth system models J. Pongratz et al. 10.1111/gcb.13988
114. Assessing the wavelength-dependent ability of solar-induced chlorophyll fluorescence to estimate the GPP of winter wheat at the canopy level L. Liu et al. 10.1080/01431161.2017.1320449
115. Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology C. Diao & G. Li 10.3390/rs14091957
116. Constraining the CO<sub>2</sub> budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system T. Lauvaux et al. 10.5194/acp-12-337-2012
117. Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models Y. Zhang et al. 10.1111/gcb.12664
118. A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 1: Model description Y. Masutomi et al. 10.5194/gmd-9-4133-2016
119. 100 Years of Progress in Applied Meteorology. Part III: Additional Applications S. Haupt et al. 10.1175/AMSMONOGRAPHS-D-18-0012.1
120. Evaluation of a Dynamic Agroecosystem Model (Agro-IBIS) for Soybean in Southern Brazil G. Webler et al. 10.1175/2012EI000452.1
121. Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation J. Ingwersen et al. 10.1016/j.agrformet.2018.06.023
122. European‐wide simulations of croplands using an improved terrestrial biosphere model: Phenology and productivity P. Smith et al. 10.1029/2008JG000800
123. A linked carbon cycle and crop developmental model: Description and evaluation against measurements of carbon fluxes and carbon stocks at several European agricultural sites O. Sus et al. 10.1016/j.agee.2010.06.012
124. Representing agriculture in Earth System Models: Approaches and priorities for development S. McDermid et al. 10.1002/2016MS000749