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

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.

The spreadsheet includes a tab for each figure and table in the publication titled "Mapping Actual Evapotranspiration using Landsat for the Conterminous United States: Google Earth Engine Implementation and Assessment of the SSEBop Model" by Senay et al. 2021. Each tab includes the graphic and the data used to create it.

The spreadsheet includes a tab for each figure and table in the publication titled "Mapping Actual Evapotranspiration using Landsat for the Conterminous United States: Google Earth Engine Implementation and Assessment of the SSEBop Model" by Senay et al. 2021. Each tab includes the graphic and the data used to create it.

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

Remote sensing-based evapotranspiration (ET) can be derived using various methods, from soil moisture accounting to vegetation-index based approaches to simple and complex surface energy balance techniques. Due to the complexity of fully representing and parameterizing ET sub-processes, different models tend to diverge in their estimations. However, most models appear to provide reasonable estimations that can meet user requirements for seasonal water use estimation and drought monitoring. One such model is the Operational Simplified Surface Energy Balance (SSEBop). This study presents a formulation of the SSEBop model using the psychrometric principle for vapor pressure/relative humidity measurements where the “dry-bulb” and “wet-bulb” equivalent readings can be obtained from satellite-based land surface temperature estimates.

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.

CONUS-wide actual ET (ETa) from Landsat thermal imagery-using the Operational Simplified Surface Energy Balance (SSEBop) model (version 4) in the Google Earth Engine (GEE) cloud computing platform. Over 150,000 Landsat satellite images were used to produce 10 years of annual ETa (2010-2019).