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5 datasets found
  1. Derived Optimal Linear Combination Evapotranspiration - DOLCE

    • zenodo.org
    txt
    Updated Apr 19, 2021
  2. r

    Derived Optimal Linear Combination Evapotranspiration - DOLCE v2.1

    • researchdata.edu.au
    html
    Updated Jul 14, 2020
  3. r

    Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0

    • researchdata.edu.au
    html
    Updated Mar 30, 2021
  4. Derived Optimal Linear Combination Evapotranspiration - DOLCE

    • zenodo.org
    txt
    Updated Jul 20, 2020
  5. r

    Derived Optimal Linear Combination Evapotranspiration - DOLCE v2.0

    • researchdata.edu.au
    html
    Updated Apr 22, 2020
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Sanaa Hobeichi (2021). Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0 [Dataset]. http://doi.org/10.25914/606e9120c5ebe

Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0

DOLCE_v3.0

3 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Mar 30, 2021
Dataset provided by
CLEX
Authors
Sanaa Hobeichi
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1980 - Dec 31, 2018
Area covered
Description

DOLCE V3.0 is an observationally constrained hybrid Evapotranspiration (ET) dataset with uncertainty estimates. It is derived by merging four global ET datasets:

  • ERA5-land (Muñoz S. J., 2019)
  • FLUXCOM METEO+RS (Jung et al., 2019)
  • GLEAM v3.5a and GLEAM v3.5b (Martens B. et al., 2017).

The combination of these parent datasets is based on their performance against flux tower ET, and accounts for their error dependency. The weights assigned to the parent datasets vary by seasons (Dec-May / Jun-Nov) and climate regimes based on a simplified climate regime map. DOLCE V3.0 provides time-variant estimates of its uncertainty errors.

Similar to DOLCE V2.1, DOLCE V3.0 is monthly, has 0.25-degree spatial resolution, available over 1980 - 2018, and covers the global land.

DOLCE V3.0 is suitable for time-series and trends analysis. The reduced number of participating datasets compared to previous versions is to ensure temporal consistency throughout the covered time period.
In comparison, DOLCE V2.1, which was derived from the combination of 11 global datasets, is suitable for climatological analysis, and is less biased against flux tower observations than DOLCE V3.0. However, temporal inconsistencies around the years 2001 and 2016 were detected in DOLCE V2.1 over the tropics. These inconsistencies result from the different lengths of records of the parent datasets. We, therefore, advise the user to select an appropriate dataset for their research based on the application.

References

Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to end of 2018. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 01-08-2020 ), 10.24381/cds.68d2bb3

Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, doi: 10.5194/gmd-10-1903-2017, 2017.

Jung, M., Koirala, S., Weber, U. et al. The FLUXCOM ensemble of global land-atmosphere energy fluxes. Sci Data 6, 74 (2019). doi: 10.1038/s41597-019-0076-8

Acknowledgements

We thank Franklin (Pete) Robertson (NASA Marshall Space Flight Center) for his valuable contribution to DOLCE V3.0.

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