Satellite-based near-real-time global daily terrestrial evapotranspiration estimates

Huang, Lei; Luo, Yong; Chen, Jing M.; Tang, Qiuhong; Steenhuis, Tammo; Cheng, Wei; Shi, Wen

doi:https://doi.org/10.5194/essd-16-3993-2024

Articles | Volume 16, issue 9

https://doi.org/10.5194/essd-16-3993-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-3993-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 9

Data description paper

|

12 Sep 2024

Data description paper |

| 12 Sep 2024

Satellite-based near-real-time global daily terrestrial evapotranspiration estimates

Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi

Supplement

https://doi.org/10.5194/essd-16-3993-2024-supplement

Data sets

Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates Lei Huang https://doi.org/10.11888/Terre.tpdc.300782

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Temperature and precipitation gridded data for global and regional domains derived from in-situ and satellite observations Copernicus Climate Change Service https://doi.org/10.24381/cds.11dedf0c

MOD11C1 - MODIS/Terra Land Surface Temperature and Emissivity Daily L3 Global 1km Grid US Geological Survey (USGS) https://e4ftl01.cr.usgs.gov/MOLT/MOD11C1.061/

MOD09CMG - MODIS/Terra Surface Reflectance Daily L3 Global 500m Grid US Geological Survey (USGS) https://e4ftl01.cr.usgs.gov/MOLT/MOD09CMG.061/

MCD43C3 - MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global 500m Grid US Geological Survey (USGS) https://e4ftl01.cr.usgs.gov/MOTA/MCD43C3.061/

MOD13C1 - MODIS/Terra Vegetation Indices 16-Day L3 Global 500m Grid US Geological Survey (USGS) https://e4ftl01.cr.usgs.gov/MOLT/MOD13C1.061/

MCD12C1 - MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m Grid US Geological Survey (USGS) https://e4ftl01.cr.usgs.gov/MOLT/MOD21C1.061/

MOD16A2 - MODIS/Terra Evapotranspiration 8-Day L3 Global 0.05° Grid Q. Mu et al. http://files.ntsg.umt.edu/data/NTSG_Products/MOD16/MOD16A2_MONTHLY.MERRA_GMAO_1kmALB/Previous/

AVHRR Evapotranspiration Global Monthly Data at 1° Resolution K. Zhang and J. Kimball http://files.ntsg.umt.edu/data/ET_global_monthly/Global_1DegResolution/ASCIIFormat/

ML Evapotranspiration Dataset Y. Zhang https://data.tpdc.ac.cn/zh-hans/data/48c16a8d-d307-4973-abab-972e9449627c

Climate Prediction Center (CPC) Global Precipitation Data NOAA https://downloads.psl.noaa.gov/Datasets/cpc_global_precip/precip.2022.nc

Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates Lei Huang https://doi.org/10.6084/m9.figshare.24669306.v1

Model code and software

Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates Lei Huang https://doi.org/10.6084/m9.figshare.24647721.v1

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Short summary

Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.