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- Catalog Owner
- Large Scale Hydrology Lab
- Dataset Availability
- 2000-03-05T00:00:00Z–2024-12-26T00:00:00Z
- Dataset Producer
- Large Scale Hydrology Lab Google Earth Engine
- Cadence
- 8 Days
- Tags
Description
The dataset is produced by the Large Scale Hydrology Lab, which specializes in advancing global and regional water cycle research through big data analytics and advanced hydrological modeling.
The PML-V2.2a product provides 500m 8-day resolution global terrestrial evapotranspiration (ET) and gross primary production (GPP) from 2000 to 2024. Driven by MSWEP and MSWX, this version features expanded bottom-up calibration using 208 flux sites and refined parameterization distinguishing 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). This MODIS-based record is optimized for high-resolution near-present monitoring.
This dataset is part of the broader PML-V2.2 suite. For the long-term 43-year consolidated record (PML-V2.2b/c at 0.1° with different remote sensing forcing), please visit the TPDC data repository.
Bands
Pixel Size
500 meters
Bands
| Name | Units | Min | Max | Scale | Pixel Size | Description |
|---|---|---|---|---|---|---|
GPP |
gC m-2 d-1 | 0* | 3901* | 0.01 | meters | Gross primary production |
ET |
mm/d | 0* | 2011* | 0.01 | meters | Actual evapotranspiration |
Ec |
mm/d | 0* | 1533* | 0.01 | meters | Vegetation transpiration |
Es |
mm/d | 0* | 820* | 0.01 | meters | Soil evaporation |
Ei |
mm/d | 0* | 1256* | 0.01 | meters | Interception from vegetation canopy |
PET |
mm/d | 0* | 2011* | 0.01 | meters | Potential evapotranspiration (PET). Calculated using the Shuttleworth-simplified version of the Penman equation, which provides estimates of evaporation from water bodies, snow, and ice. |
Ew |
mm/d | 0* | 2011* | 0.01 | meters | Evaporation from water bodies, snow, and ice. Calculated using the Penman equation, which is considered a good estimate of actual evaporation for these surfaces. |
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.
Citations
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
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
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
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a'); // Scale the first image to physical units (0.01 scale factor) var firstImage = dataset.first().multiply(0.01); var visualization = { bands: ['GPP'], min: 0.0, max: 9.0, palette: [ 'a50026', 'd73027', 'f46d43', 'fdae61', 'fee08b', 'ffffbf', 'd9ef8b', 'a6d96a', '66bd63', '1a9850', '006837', ] }; Map.setCenter(0.0, 15.0, 2); Map.addLayer( firstImage, visualization, 'PML_V2.2a Gross Primary Product (GPP)');