ETMonitor Global Actual Evapotranspiration Dataset with 1-km Resolution

ETMonitor Global Actual Evapotranspiration Dataset with 1-km Resolution


Terrestrial actual evapotranspiration (ET) is an essential ecohydrological process linking the land surface energy, water and carbon cycles, and plays a critical role in the earth system. This global ET dataset is obtained based on ETMonitor model, which combines parameterizations for different processes and land cover types, with multi-source satellite data as input. Several open accessed remote sensing variables, e.g., LAI, FVC, albedo, surface soil moisture, dynamic surface water cover and snow/ice cover, were used as input to estimate daily ET. The meteorological variables from ERA5 reanalysis dataset were also adopted. The ETMonitor model is applied at daily scale to estimate the ET components at 1-km resolution, including vegetation transpiration, soil evaporation, canopy precipitation interception loss, water surface evaporation and snow/ice sublimation on daily step, and the total actual ET is estimated as the sum of these components. Overall, the actual ET estimated by ETMonitor agreed well with ground measurements from 251 flux towers across various ecosystems and climate zones globally, with high correlation (0.75), low bias (0.08mm/d), and low root mean square error (0.93 mm/d). The estimated ET showed reasonable spatial patterns, and superior in presenting the spatial variation of ET especially in the mountain regions and in the arid irrigated cropland regions. The ET estimation is conducted at daily temporal step and 1km spatial resolution. For easier publication, the daily/1-km ET from ETMonitor (https://doi.org//10.12237/casearth.6253cddc819aec49731a4bc2) was summed to obtain monthly ET in this dataset. The data type is 16-bit signed integer, the scale factor is 0.1, and the unit is mm/month. The missing values were filled by -1.


File naming and required software

The monthly average ET data is stored in GeoTIFF format and the file name is ETMonitor.GlobalET.YYYYMM.1km.v001.tif where YYYY represents the year and MM represents the month of the year, such as ETMonitor.GlobalET.200101.1km.v001.tif represents the GeoTIFF document to describe the average global soil moisture information in January 2001.


Data Citations Data citation guideline What's data citation?
Cite as:

Zheng, C., Jia, L., Hu, G. (2022). ETMonitor Global Actual Evapotranspiration Dataset with 1-km Resolution. A Big Earth Data Platform for Three Poles, DOI: 10.11888/RemoteSen.tpdc.272831. CSTR: 18406.11.RemoteSen.tpdc.272831. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zheng C., Jia L., Hu G. Global Land Surface Evapotranspiration Monitoring by ETMonitor Model Driven by Multi-source Satellite Earth Observations. Journal of Hydrology, 2022, 128444; https://doi.org/10.1016/j.jhydrol.2022.128444.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19030203)

the Major Research plan of the National Natural Science Foundation of China (No:42090014)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19080303)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 180.00 West: -180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 100m - 1km
  • File size: 122,000 MB
  • Views: 9012
  • Downloads: 780
  • Access: Open Access
  • Temporal coverage: 2000-06-01 To 2019-12-31
  • Updated time: 2022-09-19
Contacts
: ZHENG Chaolei    JIA Li    HU Guangcheng   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata