Climatic Change

, Volume 36, Issue 3–4, pp 355–369 | Cite as

REGIONAL DEPENDENCY OF PRECIPITATION-ALTITUDE RELATIONSHIP IN THE SWISS ALPS

  • BORIS SEVRUK

Abstract

The spatial distribution of the regional long-term rate of precipitation change, ΔP, with altitude in Switzerland is analysed. In order to eliminate the bias of point precipitation measurement, the analysis is based on precipitation sums corrected for the systematic error of precipitation measurement, particularly the wind-induced error and wetting losses. The ΔP values indicate a large spatial heterogeneity. They show different local and regional patterns. In this respect, the effect of the main alpine ridge dividing the Swiss territory into northern and southern parts is crucial. Water budget computations indicate that the regional ΔP values have a tendency to overestimate areal precipitation. The possible reasons are the redistribution of precipitation by wind and its accumulation in the valleys and, at the same time, the biased precipitation networks preferring location of gauges also in the valleys.

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References

  1. Anonymous: 1996, ‘ECMWF Improves Representation of Orographic Precipitation’, GEWEX News 6(2), 4.Google Scholar
  2. Barros, A. P. and Lettenmaier, D. P.: 1994, ‘Dynamic Modeling of Orographically Induced Precipitation’, Rev. Geophys. 32(3), 265–284.Google Scholar
  3. Basist, A., Bell, G. D., and Meentemeyer, V.: 1994, ‘Statistical Relationships between Topography and Precipitation Patterns’, J. Clim. 7(9), 1305–1315.Google Scholar
  4. Baumgartner, A., Reichel, E., and Weber, G.: 1983, ‘The Water Balance of the Alps’, Oldenbourg, Munich and Vienna, p. 343 (in German).Google Scholar
  5. Bénichou, P.: 1994, ‘Cartography of Statistical Pluviometric Fields with an Automatic Allowance for Regional Topography, in Desbois, M. and Désalmand, F. (eds.), Global Precipitation and Climate, NATO ASI Ser. I. Global Environmental Change, Vol. 26, Springer-Verlag, Berlin, pp. 187–199.Google Scholar
  6. Blumer, F.: 1994, Altitudinal Dependence of Precipitation in the Alps, Swiss Federal Institute of Technology, ETH Zurich, Diss. No. 10784, p. 242 (in German).Google Scholar
  7. Bonacina, L. C. W.: 1945, ‘Orographic Rainfall and Its Place in the Hydrology of the Globe’, Q. J. Roy. Meteorol. Soc. 71, 41–49.Google Scholar
  8. Daly, C., Nielson, R. P., and Philips, D. L.: 1994, ‘A Statistical-Topographic Model for Distributed Precipitation over Mountainous Terrain’, J. Appl. Meteorol. 33(2), 140–158.Google Scholar
  9. Del Corso, R., Gränzer, M., Gulvanessian, H., Raul, J., Sandvik, R., San Paolesi, L., and Stifel, U.: 1995, New European Code for Snow Loads: Background Document, Atti del Instituto di Scienza delle Construzioni dell Universita di Pisa, No. 264, p. 76.Google Scholar
  10. Hormann, K.: 1994, Computer Based Climatological Maps for High Mountain Areas, International Centre for integrated Mountain Development, ICIMOD, Kathmandu, Nepal, MEM Ser. 12, p. 33.Google Scholar
  11. Johnson, G. L. and Hanson, C. L.: 1995, ‘Topographic and Atmosperic Influences on Precipitation Variability over a Mountainous Watershed’, J. Appl. Meteorol. 34(1), 68–87.Google Scholar
  12. Kirchhofer, W. and Sevruk, B.: 1992, ‘Mean Annual Corrected Precipitation Amounts’, in Spreafico, M., Weingartner, R., and Leibundgut, Ch. (eds.), Hydrological Atlas of Switzerland, Part 2.2, Eidgenossische Drucksachen und Matarialzentrale Bern.Google Scholar
  13. Konrad, Ch. E.: 1996), ‘Relationships between Precipitation Event Types and Topography in the Southern Blue Ridge Mountains of the Southeastern USA’, Int. J. Clim. 16(1), 49–62.Google Scholar
  14. Nespor, V. 1996: Investigation of Wind-Induced Error of Precipitation Measurements Using a Three-Dimensional Numerical Simulation, Zürcher Geographische Schriften, Swiss Federal Institute of Technology, ETH, Zurich, No. 63, p. 117.Google Scholar
  15. Sevruk, B.: 1972, Precipitation Measurements by Means of Storage Gauges with Stereo and Horizontal Orifices in the Baye de Montreux Watershed, World Meteorological Organization, WMO/OMM No. 326, pp. 86–95.Google Scholar
  16. Sevruk, B.: 1986, ‘Correction of Precipitation Measurements: Swiss Experience’, in Sevruk, B. (ed.), Correction of Precipitation Measurements, Zurcher Geographische Schriften, No. 23, Swiss Federal Institute of Technology, ETH, Zurich, pp. 187–196.Google Scholar
  17. Sevruk, B.: 1989, ‘Reliability of Precipitation Gradient Estimates’, in Proceedings XIV International Conference on Carpathian Meteorology, Sofia, pp. 402–408.Google Scholar
  18. Sharon, D.: 1970, ‘Topography-Conditioned Variations in Rainfall as Related to the Runoff-Contributing Areas in a Small Watershed’, Israel J. Earth Sci. 19(1), 85–89.Google Scholar
  19. Sharon, D. and Arazi, A.: 1993, ‘An Empirical Basis for Modeling the Effect of Watershed Topography on the Local Distribution of Wind-Driven Rainfall’, in Sevruk, B. and Lapin, M. (eds.), Precipitation Measurement and Quality Control, Proceedings Symposium on Precipitation and Evapotranspiration, Slovak Hydrometeorological Institute, Bratislava and Swiss Federal Institute of Technology, ETH, Zurich, Vol. 1, pp. 159–164.Google Scholar
  20. Sharon, D., Arazi, A., Khain, A., Huss, A., and Mahrer, Y.: 1995, ‘The Effect of Topography on the Local Distribution of Rainfall and Its Modeling by Means of CSU/RAMS’, in Albert, P. and Lomas, J. (eds.), Jehuda Neumann Symposium on Meso-Scale Models, Jerusalem, January 4–6, 1995, Israel Meteorological Society, Bed Dagan, Israel, pp. 125–128.Google Scholar

Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • BORIS SEVRUK
    • 1
  1. 1.Department of GeographySwiss Federal Institute of Technology, ETH ZurichZurichSwitzerland

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