Standardized Precipitation Index (SPI) for Global Land Surface (1949-2012)
d298000
This dataset includes the Standardized Precipitation Index (SPI) at three-, six-, and 12-month scales for global land surfaces. It was produced for a study to determine the relationship between climate variability and armed conflict in Sub-Saharan Africa (O'Loughlin et al. 2012). The precipitation data (1949-2012) are resampled from the original University of East Anglia Climate Research Unit (CRU) global time series, TS3.21, monthly 0.5 degree by 0.5 degree grids to the study unit of analysis, 1.0 degree by 1.0 degree grids, thereby facilitating regression with environmental and socioeconomic variables. The Standardized Precipitation Index (SPI) is commonly used to monitor drought and anomalous wet periods. It was formulated by Tom McKee, Nolan Doesken, and John Kleist of the Colorado Climate Center, Colorado State University (McKee et al. 1993). The SPI at a given location is based only on the long-term precipitation record for a desired period. The long-term precipitation time series is fitted to a gamma probability distribution, which is then transformed into a normal distribution so that the mean SPI is zero. Theoretically, the SPI is the number of standard deviations by which the observed value would lie above or below the long-term mean, for a normally distributed random variable. Thus, the index can be used to compare precipitation across a region with different climates. The SPI can be calculated for multiple time scales, which allows assessment of impacts on different water resources. For example, soil moisture responds to precipitation departures on a short time scale, while stream flow responds to anomalies on a longer time scale. Precipitation amounts that indicate wet conditions at one time scale could indicate dry conditions at another time scale.
dataset
https://rda.ucar.edu/datasets/d298000/
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https://rda.ucar.edu/datasets/d298000/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
GROUND-BASED OBSERVATIONS > GROUND-BASED OBSERVATIONS
revision
2024-07-23
EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > PRECIPITATION INDICES > STANDARDIZED PRECIPITATION INDEX
revision
2024-07-24
-180
180
90
-90
1949-01-16T00:00:00Z
2012-12-16T00:00:00Z
publication
2013-12-19
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1216
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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2024-08-04T02:10:54Z