Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-363-2023
https://doi.org/10.5194/hess-27-363-2023
Research article
 | 
19 Jan 2023
Research article |  | 19 Jan 2023

Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau

Jin Feng, Ke Zhang, Huijie Zhan, and Lijun Chao

Data sets

China meteorological forcing dataset (1979-2018) K. Yang and J. He https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file

CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Daily Terra-Aqua Edition 4A NASA/LARC/SD/ASDC https://doi.org/10.5067/Terra+Aqua/CERES/SYN1degDay_L3.004A

MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006 K. Didan https://doi.org/10.5067/MODIS/MOD13Q1.006

The soil moisture dataset of China based on microwave data assimilation (2002-2011) K. Yang https://doi.org/10.11888/AtmosphericPhysics.tpe.249448.file

Land Surface Soil Moisture Dataset of SMAP Time-Expanded Daily 0.25°x0.25° over Qinghai-Tibet Plateau Area (SMsmapTE, V1) L. Chai, Z. Zhu, and S. Liu https://doi.org/10.11888/Soil.tpdc.270948

GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V06 G. J. Huffman, E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan https://doi.org/10.5067/GPM/IMERGDF/DAY/06

NASA/GSFC/HSL: GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree V2.1 H. Beaudoing and M. Rodell https://doi.org/10.5067/E7TYRXPJKWOQ

MERRA-2 statD_2d_slv_Nx: 2d, Daily, Aggregated Statistics, Single-Level, Assimilation, Single-Level Diagnostics V5.12.4 GMAO - Global Modeling and Assimilation Office https://doi.org/10.5067/9SC1VNTWGWV3

MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 M. Friedl and D. Sulla-Menashe https://doi.org/10.5067/MODIS/MCD12Q1.006

A China Dataset of soil hydraulic parameters pedotransfer functions for land surface modeling (1980) W. Shangguan and Y. Dai https://doi.org/10.11888/Soil.tpdc.270606

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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.