| Large influence of soil moisture on long-term terrestrial carbon uptake JK Green, SI Seneviratne, AM Berg, KL Findell, S Hagemann, ... Nature 565 (7740), 476-479, 2019 | 494 | 2019 |
| Regionally strong feedbacks between the atmosphere and terrestrial biosphere JK Green, AG Konings, SH Alemohammad, J Berry, D Entekhabi, ... Nature geoscience 10 (6), 410-414, 2017 | 231 | 2017 |
| Coupling between the terrestrial carbon and water cycles—a review P Gentine, JK Green, M Guérin, V Humphrey, SI Seneviratne, Y Zhang, ... Environmental Research Letters 14 (8), 083003, 2019 | 147 | 2019 |
| Atmospheric dryness reduces photosynthesis along a large range of soil water deficits Z Fu, P Ciais, IC Prentice, P Gentine, D Makowski, A Bastos, X Luo, ... Nature communications 13 (1), 989, 2022 | 132 | 2022 |
| Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar … SH Alemohammad, B Fang, AG Konings, F Aires, JK Green, J Kolassa, ... Biogeosciences 14 (18), 4101-4124, 2017 | 122 | 2017 |
| Amazon rainforest photosynthesis increases in response to atmospheric dryness JK Green, J Berry, P Ciais, Y Zhang, P Gentine Science Advances 6 (47), eabb7232, 2020 | 118 | 2020 |
| Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe Z Fu, P Ciais, A Bastos, PC Stoy, H Yang, JK Green, B Wang, K Yu, ... Philosophical Transactions of the Royal Society B 375 (1810), 20190747, 2020 | 85 | 2020 |
| Land–atmosphere interactions in the tropics–a review P Gentine, A Massmann, BR Lintner, S Hamed Alemohammad, R Fu, ... Hydrology and Earth System Sciences 23 (10), 4171-4197, 2019 | 57 | 2019 |
| Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across Amazonian evergreen broadleaved forest X Chen, P Ciais, F Maignan, Y Zhang, A Bastos, L Liu, C Bacour, L Fan, ... Global Biogeochemical Cycles 35 (6), e2020GB006893, 2021 | 45 | 2021 |
| The limits of forest carbon sequestration JK Green, TF Keenan Science 376 (6594), 692-693, 2022 | 38 | 2022 |
| Regionally strong feedbacks between the atmosphere and terrestrial biosphere, Nat. Geosci., 10, 410–414 JK Green, AG Konings, SH Alemohammad, J Berry, D Entekhabi, ... | 30 | 2017 |
| Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño H Yang, P Ciais, JP Wigneron, J Chave, O Cartus, X Chen, L Fan, ... Proceedings of the National Academy of Sciences 119 (26), e2101388119, 2022 | 20 | 2022 |
| Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests H Wang, JP Wigneron, P Ciais, Y Yao, L Fan, X Liu, X Li, JK Green, F Tian, ... Remote Sensing of Environment 285, 113409, 2023 | 17 | 2023 |
| Gourlez de la Motte Z Fu, P Ciais, A Bastos, PC Stoy, H Yang, JK Green, B Wang, K Yu, ... L., Fares, S., Buchmann, N., El-Madany, TS, Pitacco, A., Vendrame, N., Li, Z …, 2018 | 16 | 2018 |
| Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake MJ Kwon, A Ballantyne, P Ciais, A Bastos, F Chevallier, Z Liu, JK Green, ... Environmental Research Letters 16 (12), 124030, 2021 | 11 | 2021 |
| Surface temperatures reveal the patterns of vegetation water stress and their environmental drivers across the tropical Americas JK Green, A Ballantyne, R Abramoff, P Gentine, D Makowski, P Ciais Global Change Biology, 1-16, 2022 | 10 | 2022 |
| Perspectives on Artificial Intelligence for Predictions in Ecohydrology EC Massoud, F Hoffman, Z Shi, J Tang, E Alhajjar, M Barnes, ... Artificial Intelligence for the Earth Systems 2 (4), e230005, 2023 | 2 | 2023 |
| Systematic underestimation of canopy conductance sensitivity to drought by Earth System Models JK Green, Y Zhang, X Luo, TF Keenan AGU Advances 5 (1), e2023AV001026, 2024 | 1 | 2024 |
| terrestrial carbon uptake JK Green, SI Seneviratne, AM Berg, KL Findell, S Hagemann, ... Springer US, 2019 | 1 | 2019 |
| Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar … S Hamed Alemohammad, B Fang, AG Konings, F Aires, JK Green, ... Biogeosciences 14 (18), 4101-4124, 2017 | 1 | 2017 |
