Dataset

Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0

Also known as: DOLCE_v3.0
CLEX
ARC Centre of Excellence for Climate Extremes Data Manager (Managed by) Sanaa Hobeichi (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/606e9120c5ebe&rft.title=Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0&rft.identifier=10.25914/606e9120c5ebe&rft.publisher=CLEX&rft.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.&rft.creator=Sanaa Hobeichi&rft.date=2021&rft.coverage=-180.0,-90.0 180.0,-90.0 180.0, 90.0 -180.0, 90.0 -180.0,-90.0&rft_rights=Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.&rft_rights=Creative Commons - Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=Surfacewater Hydrology&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=Climatology (excl. Climate Change Processes)&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Energy Budget&rft_subject=Water Budget&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons - Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/legalcode

Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Access:

Open view details

Dataset is available online via NCI thredds catalogue

Full 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.

Created: 21 03 2021

Data time period: 1980-01-01 to 2018-12-31

Spatial Coverage And Location

kmlPolyCoords: -180.0,-90.0 180.0,-90.0 180.0, 90.0 -180.0, 90.0 -180.0,-90.0

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers