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VIIRS ET SSEBop - 1km - Monthly

VIIRS ET SSEBop - 1km - Monthly

Description

Remote sensing derived evapotranspiration dataset based on VIIRS-thermal imagery and global weather datasets. Climate Engine is using version 6 of the global ET product.

Climate Engine details

Dataset type
Remote Sensing
Climate Engine ID
USGS_ET_VIIRS_MONTHLY
Documentation
https://support.climateengine.org/article/115-usgs-viirs-et

Dataset details

Scale
1km
Frequency
Monthly
Coverage
Global
Start year
2012
End year
Present

Earth Engine collection details

Earth Engine asset
projects/usgs-ssebop/viirs_et_v6_monthly
Earth Engine asset URL
https://gee-community-catalog.org/projects/usgs_viirs/?h=viir
Earth Engine source catalog
ClimateEngine.org

Variables

API variable docs: #usgs-viirs-eta-monthly

Name Units
Evapotranspiration mm

References

  1. Senay, G.B., Parrish, G.E., Schauer, M., Friedrichs, M., Khand, K., Boiko, O., Kagone, S., Dittmeier, R., Arab, S. and Ji, L., 2023. Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation. Remote Sensing,15(1), p.260. https://doi.org/10.3390/rs15010260
  2. 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
  3. Abatzoglou, J., Dobrowski, S., Parks, S. et al. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Sci Data 5, 170191 (2018). https://doi.org/10.1038/sdata.2017.191
  4. Senay, G. B. (2018). Satellite psychrometric formulation of the Operational Simplified Surface Energy Balance (SSEBop) model for quantifying and mapping evapotranspiration. Applied Engineering in Agriculture, 34(3), 555-566. https://doi.org/10.13031/aea.12614
  5. 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)
  6. 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.
  7. Chiew, F, Q.J. Wang, F. McConachy, R. James, W. Wright, and G. deHoedt, (2002). Evapotranspiration maps for Australia. Hydrology and Water Resources Symposium, Melbourne, 20-23, 2002, Institution of Engineers, Australia.

Website: https://earlywarning.usgs.gov/fews/search/Global

Processing steps

  1. The SSEBop setup is based on the Simplified Surface Energy Balance (SSEB) approach (Senay et al., 2007) with unique parameterization for operational applications using a principle of satellite psychrometry (Senay, 2018).
  2. SSEBop Version 6 is also parameterized using the novel Forcing And Normalizing Operation (FANO) algorithm (Senay et al., 2023) to establish the wet-bulb boundary condition, allowing to robustly model the spatiotemporal dynamics of ETa in all landscapes and all seasons regardless of vegetation cover density.
  3. A recent evaluation of the global ETa product shows promising performance of ETa Anomaly for drought monitoring purposes while water budget studies, requiring absolute magnitudes, may need to apply a local/region-specific bias correction procedure (Senay et. al, 2020).
  4. The global ET is derived from the integration of VIIRS-based land surface temperature, maximum air temperature from WorldClim, and reference ET derived from gridded weather datasets such as TerraClimate by Abatzoglou et al. (2018) for the world and Chiew et al., (2002) for Australia.

Terms of use

USGS-authored or produced data and information are considered to be in the U.S. Public Domain