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Cited by 370

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Objective analyses and mapping techniques for rainfall fields: An objective comparison

Creutin, J. D., Obled, C.·1982·Water Resources Research

Abstract

Many methods have been proposed and applied individually to rainfall fields in order to estimate point or average values at ungauged sites. This paper reviews some of the usual as well as some of the more recent techniques. They are classified according to their fundamental principles, optimality criteria, and practical aspects. Some theoretical developments, mostly for the statistically based techniques, are offered, and the practical aspects are mainly directed to the particular case of rainfall fields. A case study is presented for a region with particularly high rainfall variability, providing a good sample of events for testing the sensitivity of the estimation to the different methods used. The identification of statistical structure functions, required by certain methods using regionalized variable concepts, is discussed in detail for the case considered. Method evaluation is based on a classical validation technique that divides the available stations into two separate networks, i.e., a base network is used to perform estimations at the stations of a test network for a set of independent storm events. Careful attention is paid to result interpretation and visualisation. Finally, conclusions are drawn as to which method should be implemented, taking into account cost‐efficiency considerations.

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Metadata

Authors
Creutin, J. D., & Obled, C.
Venue
Water Resources Research
Published
1982-04
Volume
18
Issue
2
Pages
413-431
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2026879423
Cited by
370
References
1
FWCI
2.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Objective analyses and mapping techniques for rainfall fields: An objective comparison. https://app.cochat.ai/papers/10.1029/wr018i002p00413
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Creutin, J. D., & Obled, C. (1982). Objective analyses and mapping techniques for rainfall fields: An objective comparison. Water Resources Research. https://doi.org/10.1029/wr018i002p00413

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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