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An analysis of small-scale rainfall variability in different climatic regimes
Open accessAbstract
Statistical characteristics of spatial variability in rain fields at the scales below 5 km2 are discussed based on experimental data from five locations worldwide. The work is motivated by the practical needs of remote sensing applications using radar and satellite technologies, and by the scientific needs of rainfall modelling. Two types of rain-field characteristics are described: spatial correlations and conditional probabilities of occurrence. The accumulation intervals range from 5 min to 1 h. The analysed data samples were collected in Brazil, Florida, Iowa, Oklahoma, and on Guam.
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Citations
Cited by
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
McMillan, H., Krueger, T., & Freer, J. (2012) · Hydrological Processes · doi:10.1002/hyp.9384 · Cited by 522
Challenges in obtaining reliable measurements of point rainfall
Sieck, L. C., Burges, S. J., & Steiner, M. (2007) · Water Resources Research · doi:10.1029/2005wr004519 · Cited by 196
Metadata
- Authors
- KRAJEWSKI, W. F., CIACH, G. J., & HABIB, E.
- Venue
- Hydrological Sciences Journal
- Publisher
- Informa UK Limited
- Published
- 2003-04
- Volume
- 48
- Issue
- 2
- Pages
- 151-162
- ISSN
- 0262-6667 (ISSN-L)
- 2150-3435
- OpenAlex
- W2081556096
- Cited by
- 238
- References
- 0
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- bronze
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- KRAJEWSKI, W. F., CIACH, G. J., & HABIB, E. (2003). An analysis of small-scale rainfall variability in different climatic regimes. Hydrological Sciences Journal. https://doi.org/10.1623/hysj.48.2.151.44694
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.