FLDAS - Central Asia Snow Modeling
This platform can be used to obtain information of Mapping meteorological drought hazards on a near real-time basis for Afghanistan and Pakistan (including snow).
Simple
- Date (Publication)
- Date
- Presentation form
- Digital map
- Purpose
-
Mapping meteorological drought hazard
- Credit
-
McNally et al. (2017) A land data assimilation system for sub-Saharan Africa food and water security applications, Scientific Data.
- Maintenance and update frequency
- Daily
- Update scope
- Platform
- Theme
-
-
Type: Platform
-
Type of Drought: Meteorological Drought
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Application: Mapping meteorological drought hazard
-
Extent: Afghanistan, Pakistan
-
- Use limitation
-
None
- Access constraints
- Intellectual property rights
- Use constraints
- Other restrictions
- Date
- Spatial representation type
- Vector
Spatial resolution
- Distance
- Aggregation period: N/A
- Distance
- Spatial scale: 1km x 1km
Spatial resolution
- Metadata language
-
eng
- Description
-
Afghanistan, Pakistan
- Begin date
- 2001
- End date
- near real-time
- Date (Revision)
- Reference system identifier
- EPSG / No Spatial Reference given / 7.9
- Distribution format
-
-
(
Various
)
-
(
Various
)
- OnLine resource
- http://lis.gsfc.nasa.gov/projects/fewsnet-central-asia
- Hierarchy level
- Series
- Description
-
Afghanistan, Pakistan
Temporal Extent
Vertical extent
- Dataset
-
Mapping meteorological 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
-
Data requirements to use: None;
Data used: CHIRPS, MERRA, GDAS, RFE2;
Data format: NetCDF and GeoTIFF;
Data access: HTTP, FTP;
Concise description:
Routinely updated, high resolution
Indices included:
Snow Water Equivalent (SWE)
- File identifier
- 5e4ef2c4-e512-4223-8079-16201b8d2342 XML
- Metadata language
-
eng
- Character set
- UTF8
- Hierarchy level
- Platform
- Hierarchy level name
-
FLDAS - Central Asia Snow Modeling
- Date stamp
- 2022-02-07T11:04:34
- Metadata standard name
-
ISO 19115:2003/19139
- Metadata standard version
-
1.0