Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-3805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jul 2021
Research article |
| 02 Jul 2021
| 02 Jul 2021
Long-term relative decline in evapotranspiration with increasing runoff on fractional land surfaces
Key Laboratory of Virtual Geographical Environment (Nanjing Normal
University), Ministry of Education, Nanjing, 210023, China
School of Geographical Sciences, Nanjing Normal University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Pierre Gentine
CORRESPONDING AUTHOR
Earth and Environmental Engineering Department, Columbia University, New York, NY 10027, USA
Earth Institute, Columbia University, New York, NY 10025, USA
Jiabo Yin
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Lijuan Chen
Key Laboratory of Virtual Geographical Environment (Nanjing Normal
University), Ministry of Education, Nanjing, 210023, China
School of Geographical Sciences, Nanjing Normal University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
Jianyao Chen
School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China
Guandong Key Laboratory for Urbanization and Geo-simulation, Sun
Yat-sen University, Guangzhou, 510275, China
Longhui Li
Key Laboratory of Virtual Geographical Environment (Nanjing Normal
University), Ministry of Education, Nanjing, 210023, China
School of Geographical Sciences, Nanjing Normal University, Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
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- Soil Moisture and Atmospheric Aridity Impact Spatio‐Temporal Changes in Evapotranspiration at a Global Scale W. Zhang et al. 10.1029/2022JD038046
22 citations as recorded by crossref.
- 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
- Bias learning improves data driven models for streamflow prediction Y. Lin et al. 10.1016/j.ejrh.2023.101557
- Respective contributions of precipitation and potential evapotranspiration to long‐term changes in global drought duration and intensity R. Wang et al. 10.1002/joc.7887
- Perspectives on tipping points in integrated models of the natural and human Earth system: cascading effects and telecoupling C. Franzke et al. 10.1088/1748-9326/ac42fd
- Effects of thermal and hydrophysical properties of sandy Haplic Podzol on actual evapotranspiration of spring wheat E. Balashov et al. 10.2478/johh-2023-0013
- Analysis of Spatiotemporal Distribution of Evaporation Fractions of Different Vegetation Types Based on FLUXNET Site L. Chen et al. 10.1109/LGRS.2023.3345894
- Observational evidence of regional increasing hot extreme accelerated by surface energy partitioning R. Wang et al. 10.1175/JHM-D-21-0114.1
- 全球极端降水的热力学驱动机理及生态水文效应 家. 尹 et al. 10.1360/SSTe-2022-0100
- Projected changes in terrestrial water storage and associated flood potential across the Yangtze River basin J. Xiong et al. 10.1016/j.scitotenv.2022.152998
- Changes in Terrestrial Evaporation across Poland over the Past Four Decades Dominated by Increases in Summer Months U. Somorowska 10.3390/resources11010006
- Effective improvement of multi-step-ahead flood forecasting accuracy through encoder-decoder with an exogenous input structure Z. Cui et al. 10.1016/j.jhydrol.2022.127764
- Integrated assessments of land degradation on the Qinghai-Tibet plateau L. Yang et al. 10.1016/j.ecolind.2023.109945
- High effectiveness of GRACE data in daily-scale flood modeling: case study in the Xijiang River Basin, China J. Xiong et al. 10.1007/s11069-022-05312-z
- A comprehensive assessment of runoff dynamics in response to climate change and human activities in a typical karst watershed, southwest China C. Mo et al. 10.1016/j.jenvman.2023.117380
- Vulnerability assessment of urban remnant mountain ecosystems based on ecological sensitivity and ecosystem services Q. Luo et al. 10.1016/j.ecolind.2023.110314
- Thermodynamic driving mechanisms for the formation of global precipitation extremes and ecohydrological effects J. Yin et al. 10.1007/s11430-022-9987-0
- Impacts of land use/land cover and climate change on hydrological cycle in the Xiaoxingkai Lake Basin F. Xiao et al. 10.1016/j.ejrh.2023.101422
- Enhanced all-weather precipitable water vapor retrieval from MODIS near-infrared bands using machine learning J. Xu & Z. Liu 10.1016/j.jag.2022.103050
- Reconciling historical changes in the hydrological cycle over land S. Hobeichi et al. 10.1038/s41612-022-00240-y
- Retrieval of Surface Energy Fluxes Considering Vegetation Changes and Aerosol Effects L. Chen et al. 10.3390/rs16040668
- Recent increase in the observation-derived land evapotranspiration due to global warming R. Wang et al. 10.1088/1748-9326/ac4291
- Effect of climate change on soil erosion indicates a dominance of rainfall over LULC changes S. Dash & R. Maity 10.1016/j.ejrh.2023.101373
2 citations as recorded by crossref.
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Short summary
Assessment of changes in the global water cycle has been a challenge. This study estimated long-term global latent heat and sensible heat fluxes for recent decades using machine learning and ground observations. The results found that the decline in evaporative fraction was typically accompanied by an increase in long-term runoff in over 27.06 % of the global land areas. The observation-driven findings emphasized that surface vegetation has great impacts in regulating water and energy cycles.
Assessment of changes in the global water cycle has been a challenge. This study estimated...
