European Drought Observatory -Standardized Precipitation Index
This dataset can be used to obtain near-real time data on meteorological and hydrological drought hazards on a daily basis for Europe.
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
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Mapping meteorological drought hazard, Mapping hydrological drought hazard
- Credit
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Guttman, N. B., 1999: Accepting the standardized precipitation index: A calculation algorithm. J. Amer. Water Resour. Assoc., 35, 311-322. Haylock, M. R., N. Hofstra, A. M. G. Klein Tank, E. J. Klok, P. D. Jones and M. New, 2008: A European daily high-resolution gridded dataset of surface temperature and precipitation. J. Geophys. Res. (Atmospheres), 113, D20119, doi:10.1029/2008JD10201 McKee, T. B., J. Nolan, and J. Kleist, 1993: The relationship of drought frequency and duration to time scales. Preprints, Eighth Conf. on Applied Climatology, Anaheim, CA, Amer. Meteor, Soc., 179- 184. McKee, T. B., J. Nolan, and J. Kleist, 1995: Drought monitoring with multiple time scales. Preprints, Ninth Conf. on Applied Climatology, Dallas, TX, Amer. Meteor. Soc., 233-236.
- Maintenance and update frequency
- Daily
- Update scope
- Dataset
- Theme
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-
Type: Dataset
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Type of Drought: Meteorological, Hydrological Drought
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Application: Mapping meteorological drought hazard, Mapping hydrological drought hazard
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Extent: Europe
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- Use limitation
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None
- Access constraints
- Intellectual property rights
- Use constraints
- Other restrictions
- Date
- Spatial representation type
- Vector
Spatial resolution
- Distance
- Aggregation period: 1, 3, 6, 12, 24, 48 months
- Distance
- Spatial scale: 5 km
Spatial resolution
- Metadata language
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eng
- Description
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Europe
- Begin date
- 1901/1950/2005 (dependent on source)
- End date
- near real-time
- Date (Revision)
- Reference system identifier
- EPSG / No Spatial Reference given / 7.9
- Distribution format
-
-
(
Various
)
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(
Various
)
- OnLine resource
- http://edo.jrc.ec.europa.eu/edov2/php/index.php?id=1111
- Hierarchy level
- Series
- Description
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Europe
Temporal Extent
Vertical extent
- Dataset
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Mapping meteorological drought hazard, Mapping hydrological drought hazard
Non quantitative attribute accuracy
- Measure description
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Peer-reviewed
- 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: None;
Data used: SYNOP, GPCC, E-OBS precipitation estimates/observations;
Data format: N/A;
Data access: website;
Concise description:
Computation of the SPI involves fitting a probability density function to a given frequency distribution of precipitation totals for a station or grid point and for an accumulation period. For EDO we use the gamma probability density function. The statistics for the frequency distribution are calculated on the basis of a reference period of at least 30 years (see point 2.b). - 4 - DESERT Action – LMNH Unit SPI Factsheet The parameters of the probability density function are then used to find the cumulative probability of the observed precipitation for the required month and temporal scale. This cumulative probability is then transformed to the standardized normal distribution with mean zero and variance one, which results in the value of the SPI. The procedure of transforming the observed rainfall via the cumulative distribution functions (CDF) of the Gamma distribution and the standardized normal variable to the SPI is illustrated in Figure 1:
- File identifier
- ba35f947-ed5e-4e82-973e-412284b73eb0 XML
- Metadata language
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eng
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
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European Drought Observatory -Standardized Precipitation Index
- Date stamp
- 2022-02-07T11:04:30
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
-
1.0
- Dataset URI