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

Juan B. Valdés, Eunho Ha, Chulsang Yoo, Gerald R. North

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


In this paper the characterization of the space-time spectral characteristics of tropical rainfall fields are studied directly from measurements from ground sensors and by using three stochastic models. The characterization of the spatial-temporal spectra is important for the design of satellite missions and to determine the bias in ground truth experiments. To carry out the latter 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.

Original languageEnglish
Pages (from-to)47-59
Number of pages13
JournalAdvances in Water Resources
Issue number1-2
Publication statusPublished - 1994
Externally publishedYes

ASJC Scopus subject areas

  • Water Science and Technology


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