Operational Global Actual Evapotranspiration using the SSEBop model
March 3, 2020
The data presented here are in support of the evaluation efforts of the satellite-based actual Evapotranspiration (ETa) using the Operational Simplified Surface Energy Balance (SSEBop) model. The ETa data is currently used by the U.S. Geological Survey Famine Early Warning System Network (FEWS NET) to produce and post multitemporal ETa and ETa anomalies online on a regular basis for drought monitoring and early warning purposes and are freely available for download at https://earlywarning.usgs.gov/fews/.
Citation Information
Publication Year | 2020 |
---|---|
Title | Operational Global Actual Evapotranspiration using the SSEBop model |
DOI | 10.5066/P9OUVUUI |
Authors | Gabriel Senay, Stefanie Kagone (CTR), Naga Manohar Velpuri (CTR) |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Earth Resources Observation and Science (EROS) Center |
Rights | This work is marked with CC0 1.0 Universal |
Related
Operational global actual evapotranspiration: Development, evaluation, and dissemination
Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce a
Authors
Gabriel Senay, Stefanie Kagone, Naga M. Velpuri
Related
Operational global actual evapotranspiration: Development, evaluation, and dissemination
Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce a
Authors
Gabriel Senay, Stefanie Kagone, Naga M. Velpuri