Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-363-2023
© Author(s) 2023. 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-27-363-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2023
Research article |
| 19 Jan 2023
| 19 Jan 2023
Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau
Jin Feng
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, and College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu, 210098, China
Yangtze Institute for Conservation and Development, Hohai University, Nanjing, Jiangsu, 210098, China
China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing, Jiangsu, 210098, China
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, and College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu, 210098, China
Yangtze Institute for Conservation and Development, Hohai University, Nanjing, Jiangsu, 210098, China
China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing, Jiangsu, 210098, China
Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of
Ministry of Water Resources, Hohai University, Nanjing, Jiangsu, 210098, China
Huijie Zhan
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, and College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu, 210098, China
Lijun Chao
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, and College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu, 210098, China
Yangtze Institute for Conservation and Development, Hohai University, Nanjing, Jiangsu, 210098, China
China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing, Jiangsu, 210098, China
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Short summary
Here we improved a satellite-driven evaporation algorithm by introducing the modified versions of the two constraint schemes. The two moisture constraint schemes largely improved the evaporation estimation on two barren-dominated basins of the Tibetan Plateau. Investigation of moisture constraint uncertainty showed that high-quality soil moisture can optimally represent moisture, and more accessible precipitation data generally help improve the estimation of barren evaporation.
Here we improved a satellite-driven evaporation algorithm by introducing the modified versions...
