Drought Risk Data Catalog
E2O drought indicators
This dataset can be used to obtain data for calculations ofmeteorological drought hazards at monthly basis for the world.
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
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Mapping meteorological drought hazard
- Credit
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N/A
- Maintenance and update frequency
- Daily
- Update scope
- Dataset
- Theme
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-
Type: Dataset
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Type of Drought: hydrological,meteorological Drought
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Application: Mapping meteorological drought hazard
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Extent: global
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- Use limitation
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matlab/python/r-like program to post-process the data
- Access constraints
- Intellectual property rights
- Use constraints
- Other restrictions
- Date
- Spatial representation type
- Vector
Spatial resolution
- Distance
- Aggregation period: 1, 3, 6, 12, 24, 36 months
- Distance
- Spatial scale: 0.5 and 0.25
Spatial resolution
- Metadata language
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eng
- Description
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global
))
- Begin date
- 1983
- End date
- 2012
- Date (Revision)
- Reference system identifier
- EPSG / Spatial_reference / 7.9
- Distribution format
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-
(
Various
)
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(
Various
)
- OnLine resource
- https://wci.earth2observe.eu/portal/?
- Hierarchy level
- Series
- Description
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global
Temporal Extent
Vertical extent
- Dataset
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Mapping meteorological drought hazard
Non quantitative attribute accuracy
- Measure description
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Underlying hydrological data-sets have been evaluated and described by Beck, H. E., van Dijk, A. I. J. M., de Roo, A., Dutra, E., Fink, G., Orth, R., and Schellekens, J.: Global evaluation of runoff from 10 state-of-the-art hydrological models, Hydrol. Earth Syst. Sci., 21, 2881-2903, https://doi.org/10.5194/hess-21-2881-2017, 2017. Performance of drought indicators is being tested by a Kolmogorov-Smirnov test. A paper describing the results of this evaluation is currently in preparation.
- Evaluation Method
- Direct internal
Conformance result
- Date (Revision)
- Pass
Conformance result
- Date
Completeness omission
- Name of measure
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Codelist omission
- Evaluation Method
- Direct internal
Conformance result
- Date (Revision)
- Pass
- Statement
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Data requirements to use: matlab/python/r-like program to post-process the data;
Data used: Forcing: WFDEI; Models: W3RA, HTESSEL, LISFLOOD, WaterGAP, PCR-GLOBWB, SURFEX-TRIP;
Data format: netcdf;
Data access: upon request, will be put online in Water Cycle Integrator Portal;
Concise description:
Global-scale drought indicators developed as part of the E2O project. Estimated drought values are based on the inputs of different global (hydrological) models: W3RA (CSIRO/ANU), HTESSEL (ECMWF), LISFLOOD (JRC), WaterGAP (university Kassel), PCR-GLOBWB (Utrecht University), SURFEX-TRIP (meteo France). Eacht of these models was forced with WFD-EI. Time-series that was used to estimate the drought values was 1980-2012. Due to differences in accumulation time-period, actual drought values between 1983-2012 were provided only. Drought values are calculated for: SPI, SPEI, SRI, SSFI, and SSMI. Each with accumulation times of 1, 3, 6, 12, 24, and 36 months.
- File identifier
- f9a3caa4-a1ba-42bb-a131-b1fd25e7d58d XML
- Metadata language
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eng
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
-
E2O drought indicators
- Date stamp
- 2022-02-07T11:04:20
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
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1.0
- Dataset URI
Overviews
Spatial extent
Provided by
