PML_V2 0.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP)

CAS/IGSNRR/PML/V2_v018
Dataset Availability
2000-02-26T00:00:00Z–2023-12-27T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("CAS/IGSNRR/PML/V2_v018")
Tags
evapotranspiration gpp

Description

Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2000-2023 and with spatial range from -60°S to 90°N. The major advantages of the PML_V2 products are:

  1. Coupled estimates of transpiration and GPP via canopy conductance (Gan et al., 2018; Zhang et al., 2019)
  2. Partitioning ET into three components: transpiration from vegetation, direct evaporation from the soil, and vaporization of intercepted rainfall from vegetation (Zhang et al., 2016).

The PML_V2 products perform well against observations at 95 flux sites across globe, and are similar to or noticeably better than major state-of-the-art ET and GPP products widely used by water and ecology science communities (Zhang et al., 2019).

Key changes in v0.1.8 compared with the original v0.1.4:

  1. Temporal coverage is lengthened to the latest (may update annually) with the MODIS C6.1 data.
  2. MODIS Terra LAI (MOD15A2H) is used rather than the composite LAI (MCD15A3H).
  3. Parameters are recalibrated with the change in LAI, while other forcings remain the same.

Bands

Resolution
500 meters

Bands

Name Units Min Max Description
GPP gC m-2 d-1 0* 39.01*

Gross primary product

Ec mm/d 0* 15.33*

Vegetation transpiration

Es mm/d 0* 8.2*

Soil evaporation

Ei mm/d 0* 12.56*

Interception from vegetation canopy

ET_water mm/d 0* 20.11*

Water body, snow and ice evaporation. Penman evapotranspiration is regarded as actual evaporation for them.

* 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.

Citations

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('CAS/IGSNRR/PML/V2_v018');

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(
    dataset.first(), visualization, 'PML_V2 0.1.8 Gross Primary Product (GPP)');
Open in Code Editor