accumulation period
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Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 19612010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERCEnvironmental Information Data Centre doi:10.5285/f1cd5e3326334304bbc2b8d34711d902 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 1722 January 1993, Anaheim, California. Full details about this dataset can be found at https://doi.org/10.5285/dfd5943821704472b810bab33a83d09f

Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB)  which is equivalent to the amount of precipitation minus the amount of evapotranspiration  for a given accumulation period as defined by VicenteSerrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the general logistic distribution is 19612010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERCEnvironmental Information Data Centre https://doi.org/10.5285/f1cd5e3326334304bbc2b8d34711d902 [2] VicenteSerrano, S. M., Beguería, S., LópezMoreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696 to 1718. https://doi.org/10.1175/2009JCLI2909.1 Full details about this dataset can be found at https://doi.org/10.5285/9b550cc54cba45fbab928408454fa1d4

1km and 5km gridded Standardised PrecipitationEvapotranspiration Index (SPEI) data for Great Britain, which is a drought index based on the probability of Climatic Water Balance (CWB)  which is equivalent to the amount of precipitation minus the amount of evapotranspiration  for a given accumulation period as defined by Vicente Serrano et al. (2010). SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the generalised logistic distribution is 19612010. The dataset covers the period from 1961 to 2012. Full details about this dataset can be found at https://doi.org/10.5285/d201a2af568e4195bf02961fb6954c72

1km and 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. (1993). SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 19612010. The dataset covers the period from 1961 to 2012. Full details about this dataset can be found at https://doi.org/10.5285/94c9eaa3a1784de48905dbfab03b69a0