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Part of the book series: Water Science and Technology Library ((WSTL,volume 62))

Abstract

In dealing with drought, a proactive approach requires a drought monitoring, a drought forecasting and an estimation of extreme dry event return times. For this purpose a useful tool is the drought bulletin where all the available information and analyses are collected and updated. In this chapter the main aspects of such approach are described and some sample applications for the Mediterranean area are shown. Results suggest that for a drought risk assessment there is not a unique analysis procedure; however, an ensemble of different kinds of analyses can provide useful information in preventing and minimizing the negative effects of drought events

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References

  • Alecci, S., Arcidiacono, F., Bonaccorso, B. and Rossi, G. (2000) Identificazione delle siccità regionali e sistemi di monitoraggio, Atti del Convegno “Siccità: monitoraggio, mitigazione, effetti”. Villasimius, 21–23 Settembre 2000.

    Google Scholar 

  • American Meteorological Society. (1997) Meteorological drought - Policy statement. Bull. Amer. Meteor. Soc. 78:847–849.

    Google Scholar 

  • Balkema, A.A. and de Haan, L. (1974) Residual lifetime at great age. Annals of Probability. 2:792–804.

    Google Scholar 

  • Beguería, S. (2005) Uncertainties in partial duration series modelling of extremes related to the choice of the threshold value. J. Hydrol. 303:215–230.

    Article  Google Scholar 

  • Bonaccorso, B., Bordi, I., Cancelliere, A., Rossi, G. and Sutera, A. (2003) Spatial variability of drought: an analysis of the SPI in Sicily. Water Resour. Manage. 17:273–296.

    Article  Google Scholar 

  • Bordi, I. and Sutera, A. (2001) Fifty years of precipitation: some spatially remote teleconnections. Water Resour. Manage. 15:247–280.

    Article  Google Scholar 

  • Bordi, I., Fraedrich, K., Jiang, J.-M. and Sutera, A. (2004) Spatio-temporal variability of dry and wet periods in eastern China. Theor. Appl. Climatol. 79: 81–91.

    Article  Google Scholar 

  • Bordi, I., Fraedrich, K., Petitta, M. and Sutera, A. (2005) Methods for predicting drought occurrences. Proceedings of 6th International Conference of EWRA “Sharing a common vision for our water resources”, September 7–10, 2005, Menton, France, p. 57.

    Google Scholar 

  • Bordi, I., Fraedrich, K., Petitta, M. and Sutera, A. (2006) Large-scale assessment of drought variability based on NCEP/NCAR and ERA-40 Re-analyses. Water Resour. Manage. In press.

    Google Scholar 

  • Box, G.E. and Jenkins, G.M. (1970) Time series analysis: forecasting and control. Holden-Day, Inc., San Francisco, CA.

    Google Scholar 

  • Coles, S. (2001) An introduction to statistical modelling of extreme values. Springer-Verlag London, 200 pp.

    Google Scholar 

  • Cressie, N.A.C. (1991) Statistics for spatial data. John Wiley & Sons, New York, 900 pp.

    Google Scholar 

  • Fisher, R.A. and Tippett, L.H.C. (1928) Limiting forms of the frequency distributions of the largest or smallest member of a sample. Proceedings of the Cambridge Philosophical Society 24: 180–190.

    Article  Google Scholar 

  • Guttman, N.B. (1999) Accepting the Standardised Precipitation Index: a calculation algorithm. J. Amer. Water Resour. Assn. 35: 311–322.

    Article  Google Scholar 

  • Heim, R.R. Jr. (2002) A review of twentieth-century drought indices used in United States. Bull. Amer. Meteor. Soc. 83: 1149–1165.

    Google Scholar 

  • Jenkinson, A.F. (1955) The frequency distribution of the annual maximum (or minimum) of meteorological elements. Quart. J. R. Met. Soc. 81: 158–171.

    Article  Google Scholar 

  • Kalnay, E. and co-authors. (1996) The NCEP-NCAR 40 year reanalysis project. Bull. Amer. Meteor. Soc. 77:437–471.

    Google Scholar 

  • Keyantash, J., Dracup, J.A. (2002) The quantification of drought: an evaluation of drought indices. Bull. Amer. Meteor. Soc. 83:1167–1180.

    Google Scholar 

  • McKee, T.B., Doesken, N.J., Kleist, J. (1993) The relationship of drought frequency and duration to time scales, Preprints. 8th Conference on Applied Climatology. 17–22 January, Anaheim, CA, pp. 179–184.

    Google Scholar 

  • Neumaier, A., Schneider, T. (2001) Estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Trans. Math. Softw. 27, 1 (Mar.), 27–57.

    Google Scholar 

  • Palmer, W. (1965) Meteorological drought. Tech. Rep., Vol.45, U.S. Weather Bureau, Washington, D.C., p.58.

    Google Scholar 

  • Peixoto, J.P. and Oort, A.H. (1992) Physics of climate. Springer-Verlag, New York, Inc., 520pp.

    Google Scholar 

  • Pickands, J. (1975) Statistical inference using extreme order statistics. Ann. Stat. 3: 119–131.

    Google Scholar 

  • Redmond, K.T. (2002) The depiction of drought: a commentary. Bull. Amer. Meteor. Soc. 83:1143–1147.

    Google Scholar 

  • Rencher, A.C. (1998) Multivariate statistical inference and applications. John Wiley & Sons, New York, Inc., 559 pp.

    Google Scholar 

  • Simmons, A.J. and Gibson, J.K. (2000) The ERA-40 project plan. ERA-40 Project Report Series 1, ECMWF, Reading, U.K., 62 pp.

    Google Scholar 

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Bordi, I., Sutera, A. (2007). Drought Monitoring and Forecasting at Large Scale. In: Rossi, G., Vega, T., Bonaccorso, B. (eds) Methods and Tools for Drought Analysis and Management. Water Science and Technology Library, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5924-7_1

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