- Dataset Availability
- 2013-01-01T00:00:00Z–2023-12-01T00:00:00Z
- Dataset Provider
- OpenET, Inc.
- Earth Engine Snippet
-
ee.ImageCollection("OpenET/ENSEMBLE/CONUS/GRIDMET/MONTHLY/v2_0") - Tags
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.
Bands
Resolution
30 meters
Bands
| Name | Units | Description | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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et_ensemble_mad |
mm | Ensemble ET value, computed as the mean of the ensemble after filtering outliers using the median absolute deviation (mad) |
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et_ensemble_mad_min |
mm | The minimum value in the ensemble range, after filtering for outliers using the median absolute deviation (mad) |
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et_ensemble_mad_max |
mm | The maximum value in the ensemble range, after filtering for outliers using the median absolute deviation (mad) |
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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) |
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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) |
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et_ensemble_sam |
mm | The simple arithmetic mean (sam) of all six models in the OpenETmodel ensemble |
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Image Properties
Image Properties
| Name | Type | Description |
|---|---|---|
| build_date | STRING | Date assets were built |
| core_version | STRING | OpenET core library version |
| end_date | STRING | End date of month |
| mgrs_tile | STRING | MGRS grid zone ID |
| start_date | STRING | Start date of month |
Terms of Use
Terms of Use
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');