Water Resources Management

, Volume 15, Issue 4, pp 247–280 | Cite as

Fifty Years of Precipitation: Some Spatially Remote Teleconnnections

Article

Abstract

In the present paper the authors analyse the drought occurrence over the European region by using the NCEP/NCAR reanalysis precipitation rates covering the period from 1948 to 2000. The drought assessment is based on the Standardized Precipitation Index (SPI), which has been proposed as an indicator of drought condition. At variance with other fields derived from precipitation, the SPI is, by construction, a Gaussian field. Thus, the understanding of its covariance structure exhausts the study of the associated density distribution. A method allowing a factorisation of a multivariate Gaussian distribution is the one known as Principal Component Analysis (PCA) or Kauman-Loeve decomposition. Therefore, a PCA is used to study the main spatial patterns and the time variability of drought first over Europe and then over the Northern Hemisphere. The analysis reveals a downward trend for the index over most of central Europe and the Mediterraneanbasin, implying an overall decrease of precipitation in the above mentioned regions. Moreover, the scores associated with the PCA covariance decomposition, besides the aforementioned trend, show few long-term periodicities.Similar drought analyses have been performed by considering the Palmer Drought Severity Index (PDSI).A preliminary comparison between the SPI and PDSI obtained by using the previously discussed data set is presented. It is shown that the indices compare favourably in assessing drought variability. Finally, when the SPI analysis is extended to the Northern Hemisphere some interesting spatially remote teleconnnections linking the Tropical Pacific with the European area are shown.

climate variability drought precipitation 

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References

  1. Abramowitz, M. and Stegun, I. A.: 1965, Handbook of Mathematical Functions, Dover, 1046 pp.Google Scholar
  2. Alley, W. M.: 1984, ‘The Palmer Drought Severity Index: Limitations and assumptions’, J. Clim.Appl. Meteorol. 23, 1100-1109.Google Scholar
  3. Angell, J. K. and Korshover: 1974, ‘Quasi-biennial and long-term fluctuations in the centers of action’, Mon. Wea. Rev. 102, 669-678.Google Scholar
  4. Bordi, I., Frigio, S., Parenti, P., Speranza, A. and Sutera, A.: 2001, ‘The analysis of the Standardized Precipitation Index in the Mediterranean area: Part I’, submitted to Annali di Geofisica.Google Scholar
  5. Bordi, I. and Sutera, A.: 2001, An Analysis of Drought in Italy in the Last Fifty Years, accepted by Nuovo Cimento C.Google Scholar
  6. Bretherton, C. S., Smith, C. and Wallace, J. M.: 1992, ‘An intercomparison of methods for finding coupled patterns in climate data’, J. Climate 5, 541-560.Google Scholar
  7. Briffa, K. R., Jones, P. D. and Hulme, M.: 1994, ‘Summer moisture variability across Europe, 1892-1991: An analysis based on the Palmer Drought Severity Index’, Int. J. Climatol. 14, 475-506.Google Scholar
  8. Cook E. R., Meko, D. M. and Stockton, C. W.: 1997, ‘A new assessment of possible solar and lunar forcing of the bidecadal drought rhythm in the western United States’, J. Climate 10, 1343-1356.Google Scholar
  9. Dai, A., Fung, I. Y. and Del Genio, A. D.: 1997, ‘Surface observed global land precipitation variations during 1900–88’, J. Climate 10, 2943-2962.Google Scholar
  10. Dai, A. and Trenberth, K. E.: 1998, ‘Global variations in droughts and wet spells: 1900–1995’, Geophys. Res. Lett. 25, 3367-3370.Google Scholar
  11. Eshel, G. and Farrell, B. F.: 2000, ‘Mechanisms of eastern Mediterranean rainfall variability’, J. Atmos. Sci. 57, 3219-3232.Google Scholar
  12. Grötzner A., Latif, M. and Barnett, T. P.: 1998, ‘A decadal climate cycle in the North Atlantic Ocean as simulated by the ECHO coupled GCM’, J. Climate 11, 831-847.Google Scholar
  13. Guttman, N. B.: 1999, ‘Accepting the Standardized Precipitation Index: A calculation algorithm’, J. of Amer. Water Resources Assn. 35, 311-322.Google Scholar
  14. Hotelling, H.: 1933, ‘Analysis of a complex of statistical variables into principal components’, J. Educ. Psychol. 24, 417-441.Google Scholar
  15. Houghton, R.W. and Tourre, Y. M.: 1992, ‘Characteristics of low frequency sea surface temperature fluctuations in the tropical Atlantic’, J. Climate 5, 765-771.Google Scholar
  16. Hurrell, J. W.: 1995, ‘Decadal trends in the North Atlantic Oscillation regional temperatures and precipitation’, Science 269, 676-679.Google Scholar
  17. IMSL: 1987, STAT/LIBRARY, Fortran Subroutines for Statistical Analysis, 1232 pp.Google Scholar
  18. Janowiak, J. E., Gruber, A., Kondragunta, C. R., Livezey, R. E. and Huffman, G. J.: 1998, ‘A comparison of the NCEP-NCAR reanalysis precipitation and the GPCP rain gauge-satellite combined dataset with observational error considerations’, J. Climate 11, 2960-2979.Google Scholar
  19. Kalnay E. and coauthors: 1996, ‘The NCEP/NCAR 40-year reanalysis project’, Bull. Amer. Meteor. Soc. 77, 437-471.Google Scholar
  20. Lorenz, E. N.: 1956, ‘Empirical Orthogonal Functions and Statistical Weather Prediction’, Science Report 1, MIT, Department of Meteorology, 49 pp.Google Scholar
  21. McKee, T. B., Doesken, N. J. and 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
  22. Mehta V. M. and Delworth, T.: 1995, ‘Decadal variability of the Tropical Atlantic Ocean surface temperature in shipboard measurements and in global ocean-atmosphere model’, J. Climate 8, 172-190.Google Scholar
  23. Molteni, F., Sutera, A. and Tronci, N.: 1988, ‘The EOFs of the geopotential eddies at 500 mb in winter and their probability density distributions’, J. Atmos. Sci. 45, 3063-3080.Google Scholar
  24. Moura, A. D. and Shukla, J.: 1981, ‘On the dynamics of droughts in Northeast Brazil: Observations, theory and numerical experiments with a General Circulation Model’, J. Atmos. Sci. 38, 2653-2675.Google Scholar
  25. Palmer, W.: 1965, ‘Meteorological Drought’, Tech. Rep., Vol. 45, U.S.Weather Bureau, Washington, D.C., p. 58.Google Scholar
  26. Pearson, K.: 1901, ‘On lines and planes of closest fit to systems of points in space’, Philos. Magazine 2, 559-572.Google Scholar
  27. Rencher, A. C.: 1998, Multivariate Statistical Inference and Applications, John Wiley & Sons, Inc., 559 pp.Google Scholar
  28. Servain, J.: 1991, ‘Simple climatic indices for the tropical Atlantic Ocean and some applications’, J. Geophys. Res. 96, 15, 137-15,146.Google Scholar
  29. Stockton, C. W., Mitchell, J. M. and Meko, D. M.: 1983, ‘A Reappraisal of the 22-Year Drought Cycle’, in B. McCornac (ed.), Weather and Climate Responses to Solar Variations, Colorado University Press, Boulder, CO, 507-515.Google Scholar
  30. Tourre, Y. M., Rajagopalan, B. and Kushnir, Y.: 1999, ‘Dominant patterns of climate variability in the Atlantic Ocean during the last 136 years’, J. Climate 12, 2285-2299.Google Scholar
  31. Trenberth, K. E. and Guillemot, C. J.: 1998, ‘Evaluation of the atmospheric moisture and hydrological cycle in the NCEP/NCAR reanalyses’, Clim. Dynamics 14, 213-231.Google Scholar
  32. Uvo, C. B., Repelli, C. A., Zebiak, S. E. and Kushnir, Y.: 1998, ‘The relationships between Tropical Pacific and Atlantic SST and northeast Brazil monthly precipitation’, J. Climate 11, 551-562.Google Scholar
  33. Van Loon, H. and Rogers, J. C.: 1978, ‘The seesaw in winter temperature between Greenland and northern Europe. Part I: General description’, Mon. Wea. Rev. 106, 296-310.Google Scholar
  34. Walker G. T.: 1924, ‘Correlation in seasonal variations of weather, IX: A further study of world weather’, Mem. Indian Meteor. Dept. 24, 275-332.Google Scholar
  35. Wallace J. M. and Gutzler, D. S.: 1981, ‘Teleconnections in the geopotential hight field during the Northern Hemisphere winter’, Mon. Wea. Rew. 109, 784-812.Google Scholar

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  1. 1.Department of PhysicsUniversity of Rome ‘La Sapienza’RomeItaly

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