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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
Custodian
  Joint Research Centre (JRC) - Alfred de Jager, Jürgen Vogt, Paulo Barbosa ( )
http://edo.jrc.ec.europa.eu/ado/
Presentation form
Digital map
Purpose

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

N/A

Custodian
  Joint Research Centre (JRC), alfred.de-jager@ec.europa.eu
Maintenance and update frequency
Daily
Update scope
Platform
Theme
  • Type: Platform

  • Type of Drought: Meteorological, Agricultural, Hydrological Drought

  • 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

  • Extent: Africa

Use limitation

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

No information provided.
Metadata language

eng

Description

Africa

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Begin date
01-Jan-79
End date
near real-time
Date (Revision)
Reference system identifier
EPSG / No Spatial Reference given / 7.9
Distribution format
  • ( Various )

OnLine resource
http://edo.jrc.ec.europa.eu/ado/
Hierarchy level
Series
Description

Africa

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Temporal Extent

No information provided.

Vertical extent

Dataset

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

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

Codelist omission

Evaluation Method
Direct internal

Conformance result

Date (Revision)
Pass
Statement

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

eng

Character set
UTF8
Hierarchy level
Platform
Hierarchy level name

African Drought Observatory

Date stamp
2022-02-07T11:04:24
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Custodian
  Joint Research Centre (JRC) - Alfred de Jager, Jürgen Vogt, Paulo Barbosa ( )
http://edo.jrc.ec.europa.eu/ado/
Dataset URI

http://edo.jrc.ec.europa.eu/ado/

 
 

Overviews

overview overview
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overview
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Spatial extent

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Keywords

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 Extent: Africa Type of Drought: Meteorological, Agricultural, Hydrological Drought Type: Platform

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Associated resources

Not available


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