Stochastic characterization of space-time precipitation: implications for remote sensing

J. B. Valdes, Ha Eunho Ha, Chulsang Yoo, G. R. North

Research output: Chapter in Book/Report/Conference proceedingChapter

14 Citations (Scopus)

Abstract

A scheme is used to compare contemporaneous measurements of rain rate from a single-field-of-view estimate, based on a satellite remote sensor such as a microwave radiometer, with those coming from a point raingauge. Using this scheme the errors are computed for several observed rainfall fields, either from the data estimated spectra or from analytically derived and characterized ground measurements. This quantification provides a lower bound to total errors, since perfect instruments are assumed in this work, and it helps in terms of isolating and evaluating typical biases that might be contaminating retrieval algorithms. -Authors

Original languageEnglish
Title of host publicationAdvances in Water Resources
Pages47-59
Number of pages13
Volume17
Edition1-2
Publication statusPublished - 1994 Dec 1
Externally publishedYes

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ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)
  • Earth-Surface Processes

Cite this

Valdes, J. B., Eunho Ha, H., Yoo, C., & North, G. R. (1994). Stochastic characterization of space-time precipitation: implications for remote sensing. In Advances in Water Resources (1-2 ed., Vol. 17, pp. 47-59)