Dataset
High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Central Asia
Abstract
This dataset contains high-resolution (5 km) Standardized Precipitation Evaporation Index (SPEI-HR) drought data for Central Asia. There are forty-eight different SPEI time scales and the available period is from 1981 - 2018, the data was produced using Climate Hazards group InfraRed Precipitation with Station’s (CHIRPS) precipitation dataset and Global Land Evaporation Amsterdam Model’s (GLEAM) potential evaporation dataset. The SPEI-HR dataset, over time and space, correlates fairly well with SPEI values estimated from coarse-resolution Climate Research Unit (CRU) dataset. Furthermore, the SPEI-HR dataset, for 6-month timescale, displayed a good correlation of 0.66 with GLEAM root zone soil moisture and a positive correlation of 0.26 with normalized difference vegetation index (NDVI) from Global Inventory Monitoring and Modelling System (GIMMS).
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
Data was prepared for a Masters Thesis at the Chair of Hydrology and River Basin Management and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving. |
Data Quality: |
Data is as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)..
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File Format: |
Data are NetCDF formatted
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Process overview
Title | Standardized Precipitation Evapotranspiration Index (SPEI) |
Abstract | The SPEI dataset was developed by first aligning and formatting the precipitation and potential evaporation dataset using Climate Data Operators (CDO). Then a water deficit dataset was produced by subtracting these two datasets. Later, using R programming languages SPEI package, created by Santiago Beguería and Sergio M. Vicente-Serrano, the SPEI values were estimated for forty-eight different timescales. Finally, the dataset was validated using Climate Research Unit’s dataset, soil moisture dataset and Normalized Difference Vegetation Index dataset. |
Input Description | None |
Output Description | None |
Software Reference | None |
No variables found.
Temporal Range
1981-01-01T00:00:00
2018-12-01T00:00:00
Geographic Extent
58.0000° |
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45.0000° |
100.0000° |
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32.0000° |