Skip to main content
Log in

The threshold method for estimating total rainfall

  • Spatial Point Process
  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

Abstract

The threshold method estimates the total rainfall F G in a region G using the area B G of the subregion where rainfall intensity exceeds a certain threshold value c. We model the rainfall in a region by a marked spatial point process and derive a correlation formula between F G and B G. This correlation depends not only on the rainfall distribution but also on the variation of number of raining sites, showing the importance of taking account of the spatial character of rainfall. In the extreme case where the variation of number of raining sites is dominant, the threshold method may work regardless of rainfall distributions and even regardless of threshold values. We use the lattice gas model from statistical physics to model raining sites and show a huge variation in the number of raining sites is theoretically possible if a phase transition occurs, that is, physically different states coexist. Also, we show by radar observation datasets that there are huge variations of raining sites actually.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bolthausen, E. (1982). On the central limit theorem for stationary mixing random fields, Ann. Probab., 10, 1047–1050.

    Google Scholar 

  • Braud, I., Creutin, J. D. and Barancourt, C. (1993). The relation between the mean real rainfall and fractional area where it rains above a given threshold, Journal of Applid Meteorology, 32, 193–202.

    Google Scholar 

  • Chiu, L. S. (1988). Rain estimation from satellites: Areal rainfall-rain area relations, Paper 7.14, Reprints, Third Conf. on Satellite Meteorology.

  • Föllmer, H. (1982). A covariance estimate for Gibbs measures, J. Funct. Anal., 46, 387–395.

    Google Scholar 

  • Georgii, H.-O. (1988). Gibbs Measures and Phase Transitions, Walter de Gruyter, Berlin.

    Google Scholar 

  • Patterson, V. L., Hudlow, M. D., Pytlowany, P. J., Richards, F. P. and Hoff, J. D. (1979). GATE radar rainfall processing system, NOAA Technical Memo., EDIS 26.

  • Prum, B. and Fort, J. C. (1991). Stochastic Processes on a Lattice and Gibbs Measures, Kluwer, Dordrecht.

    Google Scholar 

  • Ruelle, D. (1969). Statistical Mechanics: Rigorous Results, Benjamin, New York.

    Google Scholar 

  • Ruelle, D. (1978). Thermodynamic Formalism: The Mathematical Structures of Classical Equilibrium Statistical Mechanics, Addison-Wesley, London.

    Google Scholar 

  • Shimizu, K. (1992). The estimation of area rain rate characteristics by the threshold method, Journal of Japan Applied Statistical Society, 21, 133–151 (in Japanese).

    Google Scholar 

  • Shimizu, K., Kedem, B. and Short, D. A. (1993). Single- and double-threshold methods for estimating the variance of area rain rate, Journal of the Meteorological Society of Japan, 71, 673–683.

    Google Scholar 

  • Short, D. A., Shimizu, K. and Kedem, B. (1993). Optimal thresholds for the estimation of area rain-rate moments by the threshold method, Journal of Applied Meteorology, 32, 182–192.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Mase, S. The threshold method for estimating total rainfall. Ann Inst Stat Math 48, 201–213 (1996). https://doi.org/10.1007/BF00054785

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00054785

Key words and phrases

Navigation