The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
ACCEPTING THE STANDARDIZED PRECIPITATION INDEX: A CALCULATION ALGORITHM1
Abstract
ABSTRACT: The Palmer Drought Severity Index (PDSI) has been calculated for about 30 years as a means of providing a single measure of meteorological drought severity. It was intended to retrospectively look at wet and dry conditions using water balance techniques. The Standardized Precipitation Index (SPI) is a probability index that was developed to give a better representation of abnormal wetness and dryness than the Palmer indices. Before the user community will accept the SPI as an alternative to the Palmer indices, a standard method must be developed for computing the index. Standardization is necessary so that all users of the index will have a common basis for both spatial and temporal comparison of index values. If different probability distributions and models are used to describe an observed series of precipitation, then different SPI values may be obtained. This article describes the effect on the SPI values computed from different probability models as well as the effects on dry event characteristics. It is concluded that the Pearson Type III distribution is the “best” universal model, and that the reliability of the SPI is sample size dependent. It is also concluded that because of data limitations, SPIs with time scales longer than 24 months may be unreliable. An internet link is provided that will allow users to access Fortran 77 source code for calculating the SPI.
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Cites
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Regional Frequency Analysis: An Approach Based on L-Moments
Hosking, J. R. M., & Wallis, J. R. (1997) · Cambridge University Press eBooks · doi:10.1017/cbo9780511529443 · Cited by 2,622
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The Palmer Drought Severity Index: Limitations and Assumptions
Alley, W. M. (1984) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1984)023<1100:tpdsil>2.0.co;2 · Cited by 1,372
COMPARING THE PALMER DROUGHT INDEX AND THE STANDARDIZED PRECIPITATION INDEX1
Guttman, N. B. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05964.x · Cited by 1,140
Self-citationDROUGHT MONITORING WITH MULTIPLE TIME SCALES
McKee, T. B., Doesken, N. J., & Kleist, J. (1995) · Medical Entomology and Zoology · Cited by 1,065
Karl, T. R. (1986) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1986)025<0077:tsotpd>2.0.co;2 · Cited by 395
(1997) · Regional Frequency Analysis · doi:10.1017/cbo9780511529443.003 · Cited by 325
Some Spatial Characteristics of Drought Duration in the United States
Karl, T. R. (1983) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1983)022<1356:sscodd>2.0.co;2 · Cited by 213
SPATIAL COMPARABILITY OF THE PALMER DROUGHT SEVERITY INDEX1
Guttman, N. B., Wallis, J. R., & Hosking, J. R. M. (1992) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1992.tb04022.x · Cited by 160
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Deep learning and process understanding for data-driven Earth system science
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat (2019) · Nature · doi:10.1038/s41586-019-0912-1 · Cited by 5,673
Beguería, S., Vicente-Serrano, S. M., Reig, F., & Latorre, B. (2014) · International Journal of Climatology · doi:10.1002/joc.3887 · Cited by 2,128
Spinoni, J., Naumann, G., Carrao, H., Barbosa, P., & Vogt, J. (2014) · International Journal of Climatology · doi:10.1002/joc.3875 · Cited by 803
Recent drought and precipitation tendencies in Ethiopia
Viste, E., Korecha, D., & Sorteberg, A. (2013) · Theoretical and Applied Climatology · doi:10.1007/s00704-012-0746-3 · Cited by 462
A new global database of meteorological drought events from 1951 to 2016
Spinoni, J., Barbosa, P., De Jager, A., McCormick, N., Naumann, G., Vogt, J. V., Magni, D., Masante, D., & Mazzeschi, M. (2019) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2019.100593 · Cited by 452
Metadata
- Authors
- Guttman, N. B.
- Venue
- JAWRA Journal of the American Water Resources Association
- Publisher
- Wiley
- Published
- 1999-04
- Volume
- 35
- Issue
- 2
- Pages
- 311-322
- ISSN
- 1093-474X (ISSN-L)
- 1752-1688
- OpenAlex
- W2108564811
- Cited by
- 1,450
- References
- 13
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guttman, N. B. (1999). ACCEPTING THE STANDARDIZED PRECIPITATION INDEX: A CALCULATION ALGORITHM1. JAWRA Journal of the American Water Resources Association. https://doi.org/10.1111/j.1752-1688.1999.tb03592.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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