Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model
We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: 1) Google Earth Engine (GEE) and 2) Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA). Evaluation was conducted by comparing modeled actual evapotranspiration (ETa) estimates with AmeriFlux Eddy Covariance (EC) and water balance ETa from level-8 Hydrologic Unit Code sub-basins in the conterminous United States for five water-years (Oct-Sep; 2009, 2011, 2013, 2016, 2018). The results of the Water balance evaluation and other graphics to support the journal publication are available at "Results of the Water Balance evaluation and supplemental data for publication". The ET data set in raster format are available for download at "Annual Water-Year SSEBop Landsat 30-meter Actual Evapotranspiration (ETa) rasters for 5 years between 2009-2018 using the Forcing and Normalizing Operation".
Citation Information
| Publication Year | 2022 |
|---|---|
| Title | Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model |
| DOI | 10.5066/P9NKWT3D |
| Authors | Gabriel Senay, Gabriel E Parrish, Matthew P Schauer (CTR), MacKenzie O Friedrichs (CTR), Kul Bikram Khand, Olena Boiko, Stefanie Kagone (CTR), Ray Dittmeier (CTR), Saeed Arab, Lei Ji (CTR) |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Earth Resources Observation and Science (EROS) Center |
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Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation
Actual evapotranspiration modeling is providing useful information for researchers and resource managers in agriculture and water resources around the world. The performance of models depends on the accuracy of forcing inputs and model parameters. We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and NormAuthorsGabriel B. Senay, Gabriel Edwin Lee Parrish, Matthew Schauer, Mackenzie Friedrichs, Kul Bikram Khand, Olena Boiko, Stefanie Bohms, Ray Dittmeier, Saeed Arab, Lei Ji - Connect