Historic Standardised Precipitation Index time series for IHU Groups (1862-2015) v2
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2017-07-12
- Dataset Reference Date ()
- 2017-07-10
- Identifier
- doi: / 10.5285/a01e09b6-4b40-497b-a139-9369858101b3
- Other citation details
- Tanguy, M., Fry, M., Svensson, C., Hannaford, J. (2017). Historic Standardised Precipitation Index time series for IHU Groups (1862-2015) v2. NERC Environmental Information Data Centre 10.5285/a01e09b6-4b40-497b-a139-9369858101b3
- GEMET - INSPIRE themes, version 1.0 ()
-
- Meteorological geographical features
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Registration is required to access this data
- Use constraints
- otherRestrictions
- Other constraints
- Licence terms and conditions apply
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Tanguy, M., Fry, M., Svensson, C., Hannaford, J. (2017). Historic Standardised Precipitation Index time series for IHU Groups (1862-2015) v2. NERC Environmental Information Data Centre https://doi.org/10.5285/a01e09b6-4b40-497b-a139-9369858101b3
- Spatial representation type
- textTable
- Topic category
-
- Climatology, meteorology, atmosphere
- Begin date
- 1862-01-01
- End date
- 2015-12-31
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- Resource Locator
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Supporting information
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Supporting information
Supporting information available to assist in re-use of this dataset
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- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al., in preparation). To calculate SPI, the R package SCI was used, but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from the Met Office 5km gridded rainfall product provided within Historic Droughts project (grant number: NE/L01016X/1), which has been area-averaged over each of the Integrated Hydrological Units (IHU) Hydrometric Groups (Kral et al., 2015; https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902 ). In this version of the dataset (version 2), the monthly rainfall grids from 1960 to 2000 was derived from the Met Office 5-km daily rainfall grids, to address some localised issues that were found in the Met Office monthly rainfall grids. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267
Metadata
- File identifier
- a01e09b6-4b40-497b-a139-9369858101b3 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-02-27T16:27:50
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3