![projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a](https://developers.google.com/earth-engine/datasets/images/pml_evapotranspiration/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a_sample.png) info This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine. Contact Large Scale Hydrology Lab for bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/publisher/pml_evapotranspiration) from the Large Scale Hydrology Lab Catalog. [Learn more about Publisher datasets](https://developers.google.com/earth-engine/datasets/publisher). [![Catalog Owner Logo](https://developers.google.com/static/earth-engine/datasets/logos/pml_evapotranspiration_logo.png)](https://zhang-hydrolab.github.io/) Catalog Owner : Large Scale Hydrology Lab Dataset Availability : 2000-03-05T00:00:00Z--2024-12-26T00:00:00Z Dataset Producer : [Large Scale Hydrology Lab](https://zhang-hydrolab.github.io/) [PML_V2](https://github.com/gee-hydro/gee_PML) Cadence : 8 Days Tags : [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity) [pml-evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/pml-evapotranspiration) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) [water-vapor](https://developers.google.com/earth-engine/datasets/tags/water-vapor) #### Description The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research by synthesizing multi-source Earth observations with process-based modeling. The PML-V2.2a (MODIS Edition) product provides global terrestrial evapotranspiration (ET) and gross primary production (GPP) at a 500-m, 8-day resolution from 2000 to 2024. Forced by MSWEP and MSWX data, this version features an expanded bottom-up calibration using 208 flux sites and refined parameterizations that explicitly distinguish irrigated from rainfed croplands. Validation confirms high accuracy across plant functional types (NSE \> 0.60, absolute bias \< 5%) and reliable basin-scale water-balance performance (NSE: 0.89--0.91). Optimized for high-resolution eco-hydrological monitoring, this MODIS-based record provides a robust historical baseline. Due to satellite orbital drift, this asset will no longer be updated post-2024. For near-present monitoring and data extending to 2025, please refer to the companion VIIRS Edition asset, which ensures seamless data continuity. This dataset is part of the broader PML-V2.2 suite, where the description paper is available at [Earth System Science Data](https://doi.org/10.5194/essd-18-5663-2026). For the long-term and consolidated record (1982-near present, PML-V2.2a/b/c at 0.1° resolution with different remote sensing forcings), please visit the [TPDC data repository](https://doi.org/10.11888/Terre.tpdc.303314). ### Bands **Bands** Pixel size: 500 meters (all bands) | Name | Units | Min | Max | Scale | Pixel Size | Description | |---|---|---|---|---|---|---| | `GPP` | gC m-2 d-1 | 0\* | 3901\* | 0.01 | 500 meters | Gross primary production | | `ET` | mm/d | 0\* | 2011\* | 0.01 | 500 meters | Evapotranspiration | | `Ec` | mm/d | 0\* | 1533\* | 0.01 | 500 meters | Transpiration | | `Es` | mm/d | 0\* | 820\* | 0.01 | 500 meters | Soil evaporation | | `Ei` | mm/d | 0\* | 1256\* | 0.01 | 500 meters | Interception evaporation | | `PET` | mm/d | 0\* | 2011\* | 0.01 | 500 meters | Potential evapotranspiration (PET) estimated using the Shuttleworth-simplified Penman equation. | | `Ew` | mm/d | 0\* | 2011\* | 0.01 | 500 meters | Evaporation from water bodies, snow, and ice, estimated using the Penman equation with unlimited water supply. | \* estimated min or max value ### Terms of Use **Terms of Use** Acknowledgements Whenever PML datasets are used in a scientific publication, the given references should be cited. License The dataset is licensed under the [CC-BY 4.0 license](https://creativecommons.org/licenses/by/4.0/). ### Citations Citations: - Xu, Z., Zhang, Y., Kong, D., Ma, N., and Zhang, X., 2026. Extended global terrestrial evapotranspiration and gross primary production dataset from 1982 to near present. Earth Syst. Sci. Data, 18, 5663-5695, [doi:10.5194/essd-18-5663-2026](https://doi.org/10.5194/essd-18-5663-2026) - Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q., and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sens. Environ. 222, 165-182, [doi:10.1016/j.rse.2018.12.031](https://doi.org/10.1016/j.rse.2018.12.031) - Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L., Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating evapotranspiration and gross assimilation for Australian ecosystems. Ecohydrology, [doi:10.1002/eco.1974](https://doi.org/10.1002/eco.1974) - Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan, M., 2016. Multi-decadal trends in global terrestrial evapotranspiration and its components. Sci. Rep. 6, 19124. [doi:10.1038/srep19124](https://doi.org/10.1038/srep19124) ### DOIs - - - ### Explore with Earth Engine > [!NOTE] > **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine) ### Code Editor (JavaScript) ```javascript var dataset = ee.ImageCollection('projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a'); // Convert 8-day averages to annual estimate with 0.01 scale factor var annualImage = dataset.filterDate('2024-01-01', '2024-12-31') .select('ET') .mean() .multiply(365) .multiply(0.01); // Final unit: mm yr-1 var visualization = { bands: ['ET'], min: 0.0, max: 1600, palette: [ "#A02323", "#C80000", "#FF0000", "#FF6E00", "#FFAA00", "#FFE132", "#FFFFC8", "#D2F5FF", "#A0D2FF", "#00BFFF", "#1E90FF", "#4169E1", "#0000CD", "#000096" ] }; Map.setCenter(0.0, 15.0, 2); Map.addLayer( annualImage, visualization, 'PML_V2.2a Evapotranspiration (ET)'); ``` [Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/pml_evapotranspiration/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a) [PML_V2.2a: Coupled Evapotranspiration and Gross Primary Product (MODIS Edition)](https://developers.google.com/earth-engine/datasets/catalog/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a) The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research by synthesizing multi-source Earth observations with process-based modeling. The PML-V2.2a (MODIS Edition) product provides global terrestrial evapotranspiration (ET) and gross primary production (GPP) at a 500-m, 8-day resolution from 2000 ... projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a, evapotranspiration,gpp,plant-productivity,pml-evapotranspiration,publisher-dataset,water-vapor 2000-03-05T00:00:00Z/2024-12-26T00:00:00Z -60 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets - [https://doi.org/10.1038/srep19124](https://doi.org/https://zhang-hydrolab.github.io/) - [https://doi.org/10.1038/srep19124](https://doi.org/https://github.com/gee-hydro/gee_PML) - [https://doi.org/10.1038/srep19124](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a)