MODIS ET SSEBop - 1km - Monthly¶
Description¶
Remote sensing derived evapotranspiration dataset based on MODIS-thermal imagery and global weather datasets. Climate Engine is using version 5 of the global ET product.
Climate Engine details¶
- Dataset type
- Remote Sensing
- Climate Engine ID
- USGS_ET_MODIS_MONTHLY
- Documentation
- https://support.climateengine.org/article/110-usgs-modis-et
Dataset details¶
- Scale
- 1km
- Frequency
- Monthly
- Coverage
- Global
- Start year
- 2003
- End year
- 2003
Earth Engine collection details¶
- Earth Engine asset
- projects/earthengine-legacy/assets/projects/usgs-ssebop/modis_et_v5_monthly
- Earth Engine asset URL
- https://gee-community-catalog.org/projects/usgs_modis_et/?h=modis+e
- Earth Engine source catalog
- ClimateEngine.org
Variables¶
API variable docs: #usgs-modis-eta-monthly
| Name | Units |
|---|---|
| Evapotranspiration | mm |
References¶
- Senay, G.B., Kagone S., Velpuri N.M., 2020, Operational Global Actual Evapotranspiration using the SSEBop model: U.S. Geological Survey data release, https://doi.org/10.5066/P9OUVUUI. Publication: https://www.mdpi.com/1424-8220/20/7/1915
- Senay, G. B., Budde, M. E., & Verdin, J. P. (2011). Enhancing the Simplified Surface Energy Balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model. Agricultural Water Management, 98(4), 606-618.
- Senay, G. B., Budde, M., Verdin, J. P., & Melesse, A. M. (2007). A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields. Sensors, 7(6), 979-1000.
- Velpuri, N. M., Senay, G. B., Singh, R. K., Bohms, S., and Verdin, J. P. (2013). A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET, Remote Sensing of Environment, 139, 35-49, (Abstract and Article)
Website: https://earlywarning.usgs.gov/fews/search/Global
Processing steps¶
- Actual ET (ETa) is produced using the operational Simplified Surface Energy Balance (SSEBop) model (Senay et al., 2013) for the period 2003 to present.2) The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay et al., 2007, 2011) with unique parameterization for operational applications using a principle that is comparable to psychometry. A comprehensive evaluation of the model was conducted by Velpuri et al. (2013).
- The global ET is derived from the integration of MODIS-based (Aqua) land surface temperature, maximum air temperature from WorldClim, and reference ET derived from global data assimilation systems(GDAS).
Terms of use¶
USGS-authored or produced data and information are considered to be in the U.S. Public Domain.