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Monitoring and Quantifying Future Climate Projections of Dryness and Wetness Extremes: Spi Bias : Volume 16, Issue 7 (18/07/2012)

By Sienz, F.

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Book Id: WPLBN0004010447
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: Monitoring and Quantifying Future Climate Projections of Dryness and Wetness Extremes: Spi Bias : Volume 16, Issue 7 (18/07/2012)  
Author: Sienz, F.
Volume: Vol. 16, Issue 7
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Fraedrich, K., Bothe, O., & Sienz, F. (2012). Monitoring and Quantifying Future Climate Projections of Dryness and Wetness Extremes: Spi Bias : Volume 16, Issue 7 (18/07/2012). Retrieved from

Description: Max-Planck-Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany. The adequacy of the gamma distribution (GD) for monthly precipitation totals is reconsidered. The motivation for this study is the observation that the GD fails to represent precipitation in considerable areas of global observed and simulated data. This misrepresentation may lead to erroneous estimates of the Standardised Precipitation Index (SPI), evaluations of models, and assessments of climate change. In this study, the GD is compared to the Weibull (WD), Burr Type III (BD), exponentiated Weibull (EWD) and generalised gamma (GGD) distribution. These distributions extend the GD in terms of possible shapes (skewness and kurtosis) and the behaviour for large arguments. The comparison is based on the Akaike information criterion, which maximises information entropy and reveals a trade-off between deviation and the numbers of parameters used. We use monthly sums of observed and simulated precipitation for 12 calendar months of the year. Assessing observed and simulated data, (i) the Weibull type distributions give distinctly improved fits compared to the GD and (ii) the SPI resulting from the GD overestimates (underestimates) extreme dryness (wetness).

Monitoring and quantifying future climate projections of dryness and wetness extremes: SPI bias

Akaike, H.: A New Look at the Statistical Model Identification, IEEE T. Automat. Contr., 19, 716–723, 1974.; Alexander, L. V. and Jones, P. D.: Updated precipitation series for the U.K. and discussion of recent extremes, Atmos. Sci. Lett., 1, 142–150, 2001.; Bordi, I. and Sutera, A.: Fifty years of precipitation: Some spatially remote teleconnections, Water Resour. Manage., 15, 247–280, 2001.; Bordi, I., Fraedrich, K., and Sutera, A.: Observed drought and wetness trends in Europe: an update, Hydrol. Earth Syst. Sci., 13, 1519–1530, doi:10.5194/hess-13-1519-2009, 2009.; Bothe, O., Fraedrich, K., and Zhu, X.: The large-scale circulations and summer drought and wetness on the Tibetan plateau, Int. J. of Climatol., 30, 844–855, 2010.; Burke, E. J. and Brown, S. J.: Evaluating uncertainties in the projection of future drought, J. Hydrometeorol., 9, 292–299, 2008.; Burnham, K. P. and Anderson, D. R.: Model Selection and Multimodel Inference: A Practical Information-Theoretical Approach, New York: Springer-Verlag, 2nd Edn., 2002.; Davison, A. C. and Hinkley, D. V.: Bootstrap methods and their application, Cambridge Univ. Press, 2003.; Edwards, D. C. and McKee, T. B.: Characteristics of 20th century drought in the United States at multiple time scales, Atmospheric Science Paper 634, Department of Atmospheric Science, Colorado State University, Fort Collins, 1997.; Gibbs, W. and Maher, J.: Rainfall deciles as drought indicators, Bureau of Meteorology Bulletin 48, Melbourne, Australia, 1967.; Groisman, P. Y., Karl, T. R., Easterling, D. R., Knight, R. W., Jamason, P. F., Hennessy, K. J., Suppiah, R., Page, C. M., Wibig, J., Fortuniak, K., Razuvaev, V. N., Douglas, A., Forland, E., and Zhai, P.: Changes in the probability of heavy precipitation: Important indicators of climate change, Climate Change, 42, 243–283, 1999.; Guttman, N. B.: Accepting the standardized precipitation index, J. Am. Water Resour. As., 35, 311–322, 1999.; Hayes, M., Svoboda, M., Wall, N., and Widhalm, M.: The Lincoln declaration on drought indices: Universal meteorological drought index recommended, B. Am. Meteorol. Soc., 92, 485–488, 2011.; Heinrich, G. and Gobiet, A.: The future of dry and wet spells in Europe: A comprehensive study based on the ENSEMBLES regional climate models, Int. J. Climatol., online first: doi:10.1002/joc.2421, 2011.; Hosking, J. R. M.: The four-parameter kappa distribution, IBM J. Res. Dev., 38, 251–258, 1994.; Kysely, J. and Picek, J.: Probability estimates of heavy precipitation events in flood-prone central-European region with enhanced influence of Mediterranean cyclones, Adv. Geosci., 12, 43–50, 2007.; Lloyd-Hughes, B. and Saunders, M. A.: A drought climatology for Europe, Int. J. Climatol., 22, 1571–1592, 2002.; Lopez-Moreno, J. I. and Vicente-Serrano, S. M.: Positive and negative phases of the Wintertime North-Atlantic Oscillation and drought ocurrences over Europe: A multitemporal-scale approch, J. Climate, 21, 1220–1242, 2008.; Marsland, S. J., Haak, H., Jungclaus, J. H., Latif, M., and R{ö}ske, F.: The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates, Ocean Model., 5, 91–127, 2003.; McKee, T. B., Doeskin, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, in: 8th Conf. on Applied Climatology, 179–184, American Meteorological Society, Anaheim, Canada, 1993.; Mielke, P. W. and Johnson, E. S.: Some generalized Beta distributions of the second kind having desirable application features in hydrology and meteorology, Water Resour. Res., 10, 223–226, 1974.; Mitchell, T. 


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