OpenET CONUS Ensemble Monthly Evapotranspiration v2.0

OpenET/ENSEMBLE/CONUS/GRIDMET/MONTHLY/v2_0
Dataset Availability
2016-01-01T00:00:00Z–2023-12-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("OpenET/ENSEMBLE/CONUS/GRIDMET/MONTHLY/v2_0")
Tags
conus evapotranspiration gridmet-derived landsat-derived monthly openet water

Description

The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the model ensemble. The models currently included in the OpenET model ensemble are ALEXI/DisALEXI, eeMETRIC, geeSEBAL, PT-JPL, SIMS, and SSEBop. The OpenET ensemble ET value is calculated as the mean of the ensemble after filtering and removing outliers using the median absolute deviation approach. All models currently use Landsat satellite data to produce ET data at a pixel size of 30 meters by 30 meters (0.22 acres per pixel). The monthly ET dataset provides data on total ET by month as an equivalent depth of water in millimeters.

Additional information

Bands

Resolution
30 meters

Bands

Name Units Description
et_ensemble_mad mm

Ensemble ET value, computed as the mean of the ensemble after filtering outliers using the median absolute deviation (mad)

et_ensemble_mad_min mm

The minimum value in the ensemble range, after filtering for outliers using the median absolute deviation (mad)

et_ensemble_mad_max mm

The maximum value in the ensemble range, after filtering for outliers using the median absolute deviation (mad)

et_ensemble_mad_count

The number of models used to compute the ensemble ET value, after filtering for outliers using the median absolute deviation (mad)

et_ensemble_mad_index

Bitmask indicating which models were included in the ensemble ET value, after filtering for outliers using the median absolute deviation (mad)

et_ensemble_sam mm

The simple arithmetic mean (sam) of all six models in the OpenETmodel ensemble

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Melton, F., Huntington, J., Grimm, R., Herring, J., Hall, M., Rollison, D., Erickson, T., Allen, R., Anderson, M., Fisher, J., Kilic, A., Senay, G., volk, J., Hain, C., Johnson, L., Ruhoff, A., Blankenau, P., Bromley, M., Carrara, W., Daudert, B., Doherty, C., Dunkerly, C., Friedrichs, M., Guzman, A., Halverson, G., Hansen, J., Harding, J., Kang, Y., Ketchum, D., Minor, B., Morton, C., Revelle, P., Ortega-Salazar, S., Ott, T., Ozdogon, M., Schull, M., Wang, T., Yang, Y., Anderson, R., 2021. OpenET: Filling a Critical Data Gap in Water Management for the Western United States. Journal of the American Water Resources Association, 2021 Nov 2. doi:10.1111/1752-1688.12956

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('OpenET/ENSEMBLE/CONUS/GRIDMET/MONTHLY/v2_0')
  .filterDate('2020-01-01', '2021-01-01');

// Compute the annual evapotranspiration (ET) as the sum of the monthly ET
// images for the year.
var et = dataset.select('et_ensemble_mad').sum();

var visualization = {
  min: 0,
  max: 1400,
  palette: [
    '9e6212', 'ac7d1d', 'ba9829', 'c8b434', 'd6cf40', 'bed44b', '9fcb51',
    '80c256', '61b95c', '42b062', '45b677', '49bc8d', '4dc2a2', '51c8b8',
    '55cece', '4db4ba', '459aa7', '3d8094', '356681', '2d4c6e',
  ]
};

Map.setCenter(-100, 38, 5);

Map.addLayer(et, visualization, 'OpenET Ensemble Annual ET');
Open in Code Editor