Journal article
Comments on “The Window Probability Matching Method for Rainfall Measurements with Radar”
Journal of applied meteorology (1988), Vol.36(3), pp.243-246
03/1997
DOI: 10.1175/1520-0450(1997)036<0243:COTWPM>2.0.CO;2
Abstract
The probability matching method (PMM) appeared in radar meteorology as a remedy to overcome difficulties with relating radar reflectivity (Z) and rain gauge precipitation (R) measurements. The typically large differences between radar and rain gauge observations are often attributed to the errors in time and space synchronization of the two measurements. The main idea behind the PMM is to construct a Z–R transformation by relating the separate cumulative frequencies of both signals, rather than the synchronized pairs of the measured values. In statistical language this means that the PMM is looking for a relation between two variables based on their marginal distributions only, without using their joint distribution. Analysis of some statistical properties of this method was presented by Krajewski and Smith (1991). They discovered very slow convergence of the PMM and its tendency to produce biased estimates. Here, we will elaborate more on the issue of the validity of the methods based on distribution matching.
Details
- Title: Subtitle
- Comments on “The Window Probability Matching Method for Rainfall Measurements with Radar”
- Creators
- Grzegorz J CiachWitold F KrajewskiJames A Smith
- Resource Type
- Journal article
- Publication Details
- Journal of applied meteorology (1988), Vol.36(3), pp.243-246
- DOI
- 10.1175/1520-0450(1997)036<0243:COTWPM>2.0.CO;2
- ISSN
- 0894-8763
- eISSN
- 1520-0450
- Language
- English
- Date published
- 03/1997
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9983991953102771
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