The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin
Open accessAbstract
Abstract. At present, the Standardized Precipitation Index (SPI) is the most widely used drought index to provide good estimations about the intensity, magnitude and spatial extent of droughts. The main advantage of the SPI in comparison with other indices is the fact that the SPI enables both determination of drought conditions at different time scales and monitoring of different drought types. It is widely accepted that SPI time scales affect different sub-systems in the hydrological cycle due to the fact that the response of the different water usable sources to precipitation shortages can be very different. The long time scales of SPI are related to hydrological droughts (river flows and reservoir storages). Nevertheless, few analyses empirically verify these statements or the usefulness of the SPI time scales to monitor drought. In this paper, the SPI at different time scales is compared with surface hydrological variables in a big closed basin located in the central Spanish Pyrenees. We provide evidence about the way in which the longer (>12 months) SPI time scales may not be useful for drought quantification in this area. In general, the surface flows respond to short SPI time scales whereas the reservoir storages respond to longer time scales (7–10 months). Nevertheless, important seasonal differences can be identified in the SPI-usable water sources relationships. This suggests that it is necessary to test the drought indices and time scales in relation to their usefulness for monitoring different drought types under different environmental conditions and water demand situations.
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Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Understanding: the Drought Phenomenon: The Role of Definitions
Wilhite, D. A., & Glantz, M. H. (1985) · Water International · doi:10.1080/02508068508686328 · Cited by 3,154
L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics
Hosking, J. R. M. (1990) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1990.tb01775.x · Cited by 3,146
A Review of Twentieth-Century Drought Indices Used in the United States
Heim, R. R. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1149 · Cited by 2,021
A homogeneity test applied to precipitation data.
Alexandersson, H. (1986) · Journal of Climatology · doi:10.1002/joc.3370060607 · Cited by 1,858
ACCEPTING THE STANDARDIZED PRECIPITATION INDEX: A CALCULATION ALGORITHM1
Guttman, N. B. (1999) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1999.tb03592.x · Cited by 1,450
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
Burton, I., Kates, R. W., & White, G. F. (1978) · Cited by 1,273
The Quantification of Drought: An Evaluation of Drought Indices
Keyantash, J., & Dracup, J. A. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1167 · Cited by 1,266
Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1181 · Cited by 1,256
Cited by
Evidence of increasing drought severity caused by temperature rise in southern Europe
Vicente-Serrano, S. M., Lopez-Moreno, J.-I., Beguería, S., Lorenzo-Lacruz, J., Sanchez-Lorenzo, A., García-Ruiz, J. M., Azorin-Molina, C., Morán-Tejeda, E., Revuelto, J., Trigo, R., et al. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/4/044001 · Cited by 756
Self-citationZhang, X., Hao, Z., Singh, V. P., Zhang, Y., Feng, S., Xu, Y., & Hao, F. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156021 · Cited by 429
Drought indicators revisited: the need for a wider consideration of environment and society
Bachmair, S., Stahl, K., Collins, K., Hannaford, J., Acreman, M., Svoboda, M., Knutson, C., Smith, K. H., Wall, N., Fuchs, B., et al. (2016) · WIREs Water · doi:10.1002/wat2.1154 · Cited by 316
A Water Balance Derived Drought Index for Pinios River Basin, Greece
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Metadata
- Authors
- Vicente-Serrano, S. M., & López-Moreno, J. I.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2005-11-07
- Volume
- 9
- Issue
- 5
- Pages
- 523-533
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W1975276481
- Cited by
- 368
- References
- 43
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- gold
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- Vicente-Serrano, S. M., & López-Moreno, J. I. (2005). Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-9-523-2005
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