141 citations as recorded by crossref.

1. 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
2. Earth system data cubes unravel global multivariate dynamics M. Mahecha et al. 10.5194/esd-11-201-2020
3. Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
4. Concurrent and lagged effects of spring greening on seasonal carbon gain and water loss across the Northern Hemisphere J. Jin et al. 10.1007/s00484-020-01913-0
5. The FLUXCOM ensemble of global land-atmosphere energy fluxes M. Jung et al. 10.1038/s41597-019-0076-8
6. The importance of forest structure for carbon fluxes of the Amazon rainforest E. Rödig et al. 10.1088/1748-9326/aabc61
7. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches A. Bastos et al. 10.1098/rstb.2017.0304
8. Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability S. Walther et al. 10.1029/2018GL080535
9. Recent Changes in Global Photosynthesis and Terrestrial Ecosystem Respiration Constrained From Multiple Observations W. Li et al. 10.1002/2017GL076622
10. Atmospheric heat and moisture transport to energy‐ and water‐limited ecosystems D. Schumacher et al. 10.1111/nyas.14357
11. OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence Y. Sun et al. 10.1126/science.aam5747
12. Monitoring Drought Effects on Vegetation Productivity Using Satellite Solar-Induced Chlorophyll Fluorescence L. Zhang et al. 10.3390/rs11040378
13. 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
14. P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production B. Stocker et al. 10.5194/gmd-13-1545-2020
15. Assessing the relationship between microwave vegetation optical depth and gross primary production I. Teubner et al. 10.1016/j.jag.2017.10.006
16. Emissions of nitrous oxide (N2O) from soil surfaces and their historical changes in East Asia: a model-based assessment A. Ito et al. 10.1186/s40645-018-0215-4
17. Cropland Carbon Uptake Delayed and Reduced by 2019 Midwest Floods Y. Yin et al. 10.1029/2019AV000140
18. Critical Soil Moisture Derived From Satellite Observations Over Europe J. Denissen et al. 10.1029/2019JD031672
19. Satellite-observed solar-induced chlorophyll fluorescence reveals higher sensitivity of alpine ecosystems to snow cover on the Tibetan Plateau B. Qiu et al. 10.1016/j.agrformet.2019.02.045
20. Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian heatwave M. Flach et al. 10.5194/bg-15-6067-2018
21. Detecting impacts of extreme events with ecological in situ monitoring networks M. Mahecha et al. 10.5194/bg-14-4255-2017
22. Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones J. von Buttlar et al. 10.5194/bg-15-1293-2018
23. Global satellite-driven estimates of heterotrophic respiration A. Konings et al. 10.5194/bg-16-2269-2019
24. Rapid recovery of net ecosystem production in a semi-arid woodland after a wildfire Q. Sun et al. 10.1016/j.agrformet.2020.108099
25. Nitrogen leaching from natural ecosystems under global change: a modelling study M. Braakhekke et al. 10.5194/esd-8-1121-2017
26. Response of vegetation carbon uptake to snow-induced phenological and physiological changes across temperate China S. Chen et al. 10.1016/j.scitotenv.2019.07.222
27. Joint Gaussian Processes for Biophysical Parameter Retrieval D. Svendsen et al. 10.1109/TGRS.2017.2767205
28. Assimilation of Remotely Sensed LAI Into CLM4CN Using DART X. Ling et al. 10.1029/2019MS001634
29. Evaluation of the LSA-SAF gross primary production product derived from SEVIRI/MSG data (MGPP) B. Martínez et al. 10.1016/j.isprsjprs.2019.11.010
30. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018
31. Estimation of Global Grassland Net Ecosystem Carbon Exchange Using a Model Tree Ensemble Approach W. Liang et al. 10.1029/2019JG005034
32. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
33. Effects of Anthropogenic Activity on Global Terrestrial Gross Primary Production I. Melnikova & T. Sasai 10.1029/2019JG005403
34. Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model F. Malavelle et al. 10.5194/acp-19-1301-2019
35. Patterns and trends of the dominant environmental controls of net biome productivity B. Marcolla et al. 10.5194/bg-17-2365-2020
36. Sensitivity of atmospheric CO2 growth rate to observed changes in terrestrial water storage V. Humphrey et al. 10.1038/s41586-018-0424-4
37. Deep learning and process understanding for data-driven Earth system science M. Reichstein et al. 10.1038/s41586-019-0912-1
38. Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
39. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures B. Qiu et al. 10.1016/j.rse.2019.111373
40. Numerical modeling of ozone damage to plants and its effects on atmospheric CO2 in China X. Xie et al. 10.1016/j.atmosenv.2019.116970
41. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
42. 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
43. Biological factors dominate the interannual variability of evapotranspiration in an irrigated cropland in the North China Plain H. Lei et al. 10.1016/j.agrformet.2018.01.007
44. High‐Resolution Global Contiguous SIF of OCO‐2 L. Yu et al. 10.1029/2018GL081109
45. 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
46. Impact of Aerosols From Urban and Shipping Emission Sources on Terrestrial Carbon Uptake and Evapotranspiration: A Case Study in East Asia M. Huang et al. 10.1029/2019JD030818
47. Soil carbon response to land-use change: evaluation of a global vegetation model using observational meta-analyses S. Nyawira et al. 10.5194/bg-13-5661-2016
48. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
49. Vegetation greenness and land carbon-flux anomalies associated with climate variations: a focus on the year 2015 C. Yue et al. 10.5194/acp-17-13903-2017
50. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
51. From Canopy‐Leaving to Total Canopy Far‐Red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results From TROPOMI Z. Zhang et al. 10.1029/2019GL084832
52. Can we trust remote sensing evapotranspiration products over Africa? I. Weerasinghe et al. 10.5194/hess-24-1565-2020
53. Making ecological models adequate W. Getz et al. 10.1111/ele.12893
54. Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model Y. Guanche García et al. 10.1007/s11069-018-3415-8
55. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar-Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
56. 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
57. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
58. Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources S. Salcedo-Sanz et al. 10.1016/j.inffus.2020.07.004
59. Changes in productivity and carbon storage of grasslands in China under future global warming scenarios of 1.5°C and 2°C Z. Wang et al. 10.1093/jpe/rtz024
60. Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM J. Nabel et al. 10.5194/gmd-13-185-2020
61. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
62. A global moderate resolution dataset of gross primary production of vegetation for 2000–2016 Y. Zhang et al. 10.1038/sdata.2017.165
63. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
64. Estimating Forest Carbon Fluxes Using Machine Learning Techniques Based on Eddy Covariance Measurements X. Dou et al. 10.3390/su10010203
65. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product P. Bodesheim et al. 10.5194/essd-10-1327-2018
66. Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products B. Martínez et al. 10.1016/j.jag.2017.10.011
67. CO2 exchange and evapotranspiration across dryland ecosystems of southwestern North America J. Biederman et al. 10.1111/gcb.13686
68. Assessing the dynamics of vegetation productivity in circumpolar regions with different satellite indicators of greenness and photosynthesis S. Walther et al. 10.5194/bg-15-6221-2018
69. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks G. Tramontana et al. 10.1111/gcb.15203
70. ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO<sub>2</sub>, water, and energy fluxes on daily to annual scales C. Qiu et al. 10.5194/gmd-11-497-2018
71. The Global Distribution of Biological Nitrogen Fixation in Terrestrial Natural Ecosystems T. Davies‐Barnard & P. Friedlingstein 10.1029/2019GB006387
72. Contrasting Performance of the Remotely-Derived GPP Products over Different Climate Zones across China Y. Chen et al. 10.3390/rs11161855
73. Monitoring tropical forests under a functional perspective with satellite‐based vegetation optical depth G. Vaglio Laurin et al. 10.1111/gcb.15072
74. Compensatory water effects link yearly global land CO2 sink changes to temperature M. Jung et al. 10.1038/nature20780
75. Validation of drought indices using environmental indicators: streamflow and carbon flux data U. Bhuyan-Erhardt et al. 10.1016/j.agrformet.2018.11.016
76. Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis X. Xie et al. 10.1016/j.ecolind.2020.106224
77. Inverse Determination of the Influence of Fire on Vegetation Carbon Turnover in the Pantropics J. Exbrayat et al. 10.1029/2018GB005925
78. What is global photosynthesis? History, uncertainties and opportunities Y. Ryu et al. 10.1016/j.rse.2019.01.016
79. Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2020.111722
80. Multisatellite Analyses of Spatiotemporal Variability in Photosynthetic Activity Over the Tibetan Plateau X. Wang et al. 10.1029/2019JG005249
81. An Online Deep Convolutional Model of Gross Primary Productivity and Net Ecosystem Exchange Estimation for Global Forests W. Wu et al. 10.1109/JSTARS.2019.2954556
82. Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests S. Besnard et al. 10.1371/journal.pone.0211510
83. Modeling the effects of litter stoichiometry and soil mineral N availability on soil organic matter formation using CENTURY-CUE (v1.0) H. Zhang et al. 10.5194/gmd-11-4779-2018
84. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
85. Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms Y. Yao et al. 10.1016/j.agrformet.2017.04.011
86. Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM N. Ma et al. 10.1016/j.jhydrol.2020.125221
87. Large loss of CO2 in winter observed across the northern permafrost region S. Natali et al. 10.1038/s41558-019-0592-8
88. Disequilibrium of terrestrial ecosystem CO<sub>2</sub> budget caused by disturbance-induced emissions and non-CO<sub>2</sub> carbon export flows: a global model assessment A. Ito 10.5194/esd-10-685-2019
89. Spatial Predictions and Associated Uncertainty of Annual Soil Respiration at the Global Scale D. Warner et al. 10.1029/2019GB006264
90. 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
91. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data G. Pastorello et al. 10.1038/s41597-020-0534-3
92. Quantifying the effect of forest age in annual net forest carbon balance S. Besnard et al. 10.1088/1748-9326/aaeaeb
93. Carbon–water flux coupling under progressive drought S. Boese et al. 10.5194/bg-16-2557-2019
94. Application of machine-learning methods in forest ecology: recent progress and future challenges Z. Liu et al. 10.1139/er-2018-0034
95. 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
96. Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale W. Li et al. 10.5194/essd-12-789-2020
97. Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al. 10.1088/1748-9326/aa7398
98. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
99. FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions S. Knox et al. 10.1175/BAMS-D-18-0268.1
100. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity A. Bastos et al. 10.1126/sciadv.aba2724
101. Modeling and Predicting Carbon and Water Fluxes Using Data-Driven Techniques in a Forest Ecosystem X. Dou & Y. Yang 10.3390/f8120498
102. Assimilation of Earth Observation Data Over Cropland and Grassland Sites into a Simple GPP Model M. Meroni et al. 10.3390/rs11070749
103. Interannual variation of terrestrial carbon cycle: Issues and perspectives S. Piao et al. 10.1111/gcb.14884
104. The Impact of the 20–50-Day Atmospheric Intraseasonal Oscillation on the Gross Primary Productivity between the Yangtze and Yellow Rivers J. Li et al. 10.1175/JCLI-D-19-0575.1
105. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
106. LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables C. Albergel et al. 10.3390/rs10101627
107. Terrestrial gross primary production: Using NIR V to scale from site to globe G. Badgley et al. 10.1111/gcb.14729
108. 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
109. Environmental control of land-atmosphere CO2 fluxes from temperate ecosystems: a statistical approach based on homogenized time series from five land-use types V. Moreaux et al. 10.1080/16000889.2020.1784689
110. 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
111. Nutrients and water availability constrain the seasonality of vegetation activity in a Mediterranean ecosystem Y. Luo et al. 10.1111/gcb.15138
112. Physics‐Constrained Machine Learning of Evapotranspiration W. Zhao et al. 10.1029/2019GL085291
113. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
114. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al. 10.5194/hess-24-3431-2020
115. Spatio-temporal patterns of evapotranspiration based on upscaling eddy covariance measurements in the dryland of the North China Plain B. Fang et al. 10.1016/j.agrformet.2019.107844
116. An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region B. Bonan et al. 10.5194/hess-24-325-2020
117. Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half J. Liu et al. 10.1111/gcb.15247
118. 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
119. Contributions of climate change, land use change and CO2 to changes in the gross primary productivity of the Tibetan Plateau X. LUO et al. 10.1080/16742834.2020.1695515
120. Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia S. Kenea et al. 10.3390/rs12010145
121. Fluxes all of the time? A primer on the temporal representativeness of FLUXNET H. Chu et al. 10.1002/2016JG003576
122. Large‐Scale Droughts Responsible for Dramatic Reductions of Terrestrial Net Carbon Uptake Over North America in 2011 and 2012 W. He et al. 10.1029/2018JG004520
123. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
124. Global distribution of groundwater-vegetation spatial covariation S. Koirala et al. 10.1002/2017GL072885
125. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming I. Ilie et al. 10.5194/gmd-10-3519-2017
126. 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
127. Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem G. Tagliabue et al. 10.1016/j.rse.2019.111272
128. 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
129. Revisiting the choice of the driving temperature for eddy covariance CO2 flux partitioning G. Wohlfahrt & M. Galvagno 10.1016/j.agrformet.2017.02.012
130. Accelerated dryland expansion regulates future variability in dryland gross primary production J. Yao et al. 10.1038/s41467-020-15515-2
131. Land use change and El Niño-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia M. Kondo et al. 10.1038/s41467-018-03374-x
132. Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. 10.5194/hess-22-4061-2018
133. Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis Y. Kim et al. 10.1111/gcb.14845
134. Summarizing the state of the terrestrial biosphere in few dimensions G. Kraemer et al. 10.5194/bg-17-2397-2020
135. Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison X. Zhu et al. 10.3390/su12052099
136. 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
137. New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression K. Ichii et al. 10.1002/2016JG003640
138. A methodology to derive global maps of leaf traits using remote sensing and climate data Á. Moreno-Martínez et al. 10.1016/j.rse.2018.09.006
139. 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
140. No Proportional Increase of Terrestrial Gross Carbon Sequestration From the Greening Earth Y. Zhang et al. 10.1029/2018JG004917
141. Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange Z. Fu et al. 10.1111/gcb.14731