Standardized Anomaly Index (SAI)
This index can be used to determine and characterize meteorological, hydrological andagricultural drought hazards on a monthly, seasonal and annual basis. (source WMO and GWP, 2016)
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
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Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
- Credit
-
N/A
- Maintenance and update frequency
- Daily
- Update scope
- Indices
- Theme
-
-
Type: Indices
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Type of Drought: Meteorological, Agricultural, Hydrological Drought
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Application: Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
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Extent: Not relevant
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- Use limitation
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Precipitation at monthly, seasonal or annual time steps.
- Access constraints
- Intellectual property rights
- Use constraints
- Other restrictions
- Date
- Spatial representation type
- Vector
Spatial resolution
- Distance
- Aggregation period: N/A
- Distance
- Spatial scale: Not relevant
Spatial resolution
- Metadata language
-
eng
- Description
-
Not relevant
))
- Begin date
- Not relevant
- End date
- Not relevant
- Date (Revision)
- Reference system identifier
- EPSG / Spatial_reference / 7.9
- Distribution format
-
-
(
Various
)
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(
Various
)
- OnLine resource
- http://www.droughtmanagement.info/indices/
- Hierarchy level
- Series
- Description
-
Not relevant
Temporal Extent
Vertical extent
- Dataset
-
Mapping meteorological drought hazard, Mapping hydrological drought hazard, Mapping agricultural drought hazard
Non quantitative attribute accuracy
- Measure description
-
N/A
- 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
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Data requirements to use: Precipitation at monthly, seasonal or annual time steps.;
Data used: N/A;
Data format: N/A;
Data access: N/A;
Concise description:
Based upon the results of RAI, and was developed to help identify droughts in susceptible regions, such as the West African Sahel and north-east Brazil. RAI accounts for station-based precipitation in a region and standardizes annual amounts. Deviations are then averaged over all stations in the region to obtain a single SAI value.
- File identifier
- e8c615f8-4ebb-4730-804a-8dc2450ae81d XML
- Metadata language
-
eng
- Character set
- UTF8
- Hierarchy level
- Indices
- Hierarchy level name
-
Standardized Anomaly Index (SAI)
- Date stamp
- 2022-02-07T11:04:20
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
-
1.0
- Dataset URI
Overviews
Spatial extent
Provided by
