African Drought Observatory
This platform can be used to obtain information of meteorological, hydrological, and agricultural drought hazards as well as drought impact to the overall economy on a near real-time and forecast basis for Africa.
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
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Drought forecasting, Mapping drought impact to agriculture and livestock, Mapping drought impact to the overall economy, Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
- Credit
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N/A
- Maintenance and update frequency
- Daily
- Update scope
- Platform
- Theme
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Type: Platform
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Type of Drought: Meteorological, Agricultural, Hydrological Drought
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Application: Drought forecasting, Mapping drought impact to agriculture and livestock, Mapping drought impact to the overall economy, Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
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Extent: Africa
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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: 3, 6, 12 months
- Distance
- Spatial scale: Precipitation anomalies and SPI-3: 1° Hazard, Vulnerability and Risk indices: country and sub-basin scales
Spatial resolution
- Metadata language
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eng
- Description
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Africa
- Begin date
- 01-Jan-79
- End date
- near real-time
- Date (Revision)
- Reference system identifier
- EPSG / No Spatial Reference given / 7.9
- Distribution format
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(
Various
)
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(
Various
)
- OnLine resource
- http://edo.jrc.ec.europa.eu/ado/
- Hierarchy level
- Series
- Description
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Africa
Temporal Extent
Vertical extent
- Dataset
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Drought forecasting, Mapping drought impact to agriculture and livestock, Mapping drought impact to the overall economy, Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
Non quantitative attribute accuracy
- Measure description
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The indicators and datasets were selected after having been tested at regional and continental scale (Dutra et al., 2013 and Naumann et al., 2013a)
- 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: The GPCC and the ECMWF atmospheric reanalysis ERA-Interim precipitation datasets are used as the main sources of precipitation. ERA-Interim monthly temperature and soil moisture including their anomalies are also displayed. The vegetation conditions are assessed through the anomaly of fAPAR (fraction of Absorbed Photosynthetically Active Radiation; Gobron et al., 2007) 10-day time composite derived from the
Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. The meteorological seasonal forecast relies in the ECMWF dynamical ocean-atmosphere coupled system 4 (S4);
Data format: N/A;
Data access: website;
Concise description:
The main monitoring products are the precipitation and their derived indicators, such as the precipitation anomalies (% of normal) and the Standardized Precipitation Index (SPI). Drought vulnerability and risk are assessed at country and basin level following a socio-economic approach (Naumann et al., 2013b). Regarding the seasonal forecast, the two main outputs are the forecasted SPI following a probabilistic or a deterministic approach. A number of geographic background data sets are also available such as climate classifications (Aridity Index and Köppen-Geiger Classification), land cover and soil maps (Land cover, Agricultural Management Factor, Soil Fertility Index), water resources (Irrigation cropping pattern zones, Surface water bodies and River Basins), and population indicators (Population Density and Infant Mortality Rate)
Indices included:
Precipitation and derived indicators, such as the precipitation anomalies (% of normal) and the Standardized Precipitation Index (SPI), Vegetation productivity anomaly, drought hazard index, drought vulnerability index, drought risk
- File identifier
- 044c5bed-9655-4b96-bf44-80a4cd839b40 XML
- Metadata language
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eng
- Character set
- UTF8
- Hierarchy level
- Platform
- Hierarchy level name
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African Drought Observatory
- Date stamp
- 2022-02-07T11:04:24
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
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1.0
- Dataset URI