On vegetated landscapes, Evapotranspiration (ET) can be simplified as the combination of evaporation from the soil and transpiration from vegetation. Actual ET (ETa) is produced using the Operational Simplified Surface Energy Balance (SSEBop) model Version 6 (Senay et al., 2013, 2020, 2023) from 2012 to Present using a data stream from the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the NASA/NOAA Suomi National Polar-Orbiting Partnership (Suomi NPP) and NOAA-20 satellites. The SSEBop model is a thermal-based simplified surface energy model for estimating ETa based on the principles of satellite psychrometry (Senay, 2018). SSEBop Version 6 implementation uses land surface temperature (Ts) from VIIRS with key model parameters (cold/wet-bulb reference, Tc, and surface psychrometric constant, 1/dT) derived from a combination of observed surface temperature, normalized difference vegetation index (NDVI), climatological average daily maximum air temperature (Ta, 1-km) from Daymet and CHELSA, and net radiation data from ERA-5. SSEBop Version 6 also uses the Forcing And Normalizing Operation (FANO), a novel parameterization to better estimate ET in all landscapes and all seasons regardless of vegetation cover density, thereby improving model accuracy by avoiding extrapolation of Tc to non-calibration regions (Senay et al., 2023). Final ETa is generated as a product of ET fractions generated from remotely sensed VIIRS thermal imagery, summarized every dekad (~10 days) with reference ET generated from weather data fields using the Penman-Monteith Equation (TerraClimate and CSIRO-based datasets). ETa data and anomaly products (current vs. 2013 – 2022 median), produced at 1 km resolution, are available at: https://earlywarning.usgs.gov/fews.

CONUS-wide annual water-year actual ET (ETa) data using Landsat resolution satellite imagery from the Operational Simplified Surface Energy Balance (SSEBop) model (version 2.6) with the Forcing and Normalizing Operation (FANO) parameterization. Raster data products generated for five water-years (Oct-Sep; 2009, 2011, 2013, 2016, 2018).

CONUS-wide annual water-year actual ET (ETa) data using Landsat resolution satellite imagery from the Operational Simplified Surface Energy Balance (SSEBop) model (version 2.6) with the Forcing and Normalizing Operation (FANO) parameterization. Raster data products generated for five water-years (Oct-Sep; 2009, 2011, 2013, 2016, 2018).

This dataset includes 1km resolution monthly timescale estimates of evapotranspiration (ET) for the 2000-2015 timespan. These new SSEBop-WB estimates were developed by combining a previously published long-term annual average evapotranspiration map based on water balance constraints with the SSEBop remote sensing ET product (see Associated Items). The combination aims to leverage the advantages of each approach in gaining both the temporal resolution of remote sensing data and the long-term magnitude constraints of ground-based data. This data release also includes other supporting data associated with the publication of these estimation methods in a concurrent journal article. Analyses in the journal article included comparisons between SSEBop ET, the MOD16 remote sensing ET product, and the new SSEBop-WB ET in a variety of settings against ET data from 119 flux towers across the U.S. Residuals between the remote sensing methods and the flux tower data were mapped spatially, and these maps are included in the data release as well. The methods are fully described in the forthcoming article accepted for publication in Remote Sensing as of November 2017; this dataset will be updated with its full citation when available. See also the metadata file for additional information, or contact the authors with questions.

This dataset includes 1km resolution monthly timescale estimates of evapotranspiration (ET) for the 2000-2015 timespan. These new SSEBop-WB estimates were developed by combining a previously published long-term annual average evapotranspiration map based on water balance constraints with the SSEBop remote sensing ET product (see Associated Items). The combination aims to leverage the advantages of each approach in gaining both the temporal resolution of remote sensing data and the long-term magnitude constraints of ground-based data. This data release also includes other supporting data associated with the publication of these estimation methods in a concurrent journal article. Analyses in the journal article included comparisons between SSEBop ET, the MOD16 remote sensing ET product, and the new SSEBop-WB ET in a variety of settings against ET data from 119 flux towers across the U.S. Residuals between the remote sensing methods and the flux tower data were mapped spatially, and these maps are included in the data release as well. The methods are fully described in the forthcoming article accepted for publication in Remote Sensing as of November 2017; this dataset will be updated with its full citation when available. See also the metadata file for additional information, or contact the authors with questions.

Daily SSEBop evapotranspiration at the Moderate Resolution Imaging Spectroradiometer (MODIS) scale was created for the CONUS. These data are published on the USGS earlywarning site (https://earlywarning.usgs.gov/ssebop/modis/daily). The first phase included the creation on historical actual daily ET data from 2000 – 2018. The second phase will create the ET product operationally on a daily time scale. The corresponding data files for each day, geotiff and meta data file, are compressed as a zip file for download. The values for the daily ET data are scaled by a factor of 1000. NoData pixels are indicated as NoData(9999). Daily ETa data are produced at 1 km resolution and are available at: https://earlywarning.usgs.gov/ssebop/modis/daily

Daily SSEBop evapotranspiration at the Moderate Resolution Imaging Spectroradiometer (MODIS) scale was created for the CONUS. These data are published on the USGS earlywarning site (https://earlywarning.usgs.gov/ssebop/modis/daily). The first phase included the creation on historical actual daily ET data from 2000 – 2018. The second phase will create the ET product operationally on a daily time scale. The corresponding data files for each day, geotiff and meta data file, are compressed as a zip file for download. The values for the daily ET data are scaled by a factor of 1000. NoData pixels are indicated as NoData(9999). Daily ETa data are produced at 1 km resolution and are available at: https://earlywarning.usgs.gov/ssebop/modis/daily

The spreadsheet consists of all the data and statistics used in the publication 'Operational Global Actual Evapotranspiration: Development, Evaluation and Dissemination'.

The spreadsheet consists of all the data and statistics used in the publication 'Operational Global Actual Evapotranspiration: Development, Evaluation and Dissemination'.

Actual evapotranspiration (ETa) rates from the Operational Simplified Surface Energy Balance (SSEBop) method, before and after bias corrections (Sepúlveda, 2021), are presented for basins located wholly or partially within the Suwannee River Water Management District (SRWMD) and parts of Georgia. The SSEBop annual rates are provided at about a one square-kilometer scale from 2000 to 2017. Annual ETa rates calculated from the application of the water-balance method (wbETa) to 6 basins in the SRWMD and annual land-use ETa (luETa) rates calculated from monthly average crop coefficient ratios are also provided in this data set. A GIS shapefile provides land-use type and annual ETa rate for each year of record. Data are tabulated in spreadsheets for each basin and are referred to by the name between parenthesis: Alapaha River basin (Alapaha), Withlacoochee River – SRWMD basin (Withla_SRWMD), Upper Suwannee River basin (Upper_Suwannee), Santa Fe River basin (Santa_Fe), Suwannee River basin (Suwannee_River), and Aucilla River basin (Aucilla). Inflows and outflows from various sources in the water-balance equation used to calculate annual average wbETa rates for each basin in the SRWMD area are presented in this dataset.