The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Statistical Downscaling of Extreme Precipitation Events Using Censored Quantile Regression
Abstract
A statistical downscaling approach for extremes using censored quantile regression is presented. Conditional quantiles of station data (e.g., daily precipitation sums) in Germany are estimated by means of the large-scale circulation as represented by the NCEP reanalysis data. It is shown that a mixed discrete–continuous response variable, such as a daily precipitation sum, can be statistically modeled by a censored variable. Furthermore, a conditional quantile skill score is formulated to assess the relative gain of a quantile forecast compared with a reference forecast. Just like multiple regression for expectation values, quantile regression provides a tool to formulate a model output statistics system for extremal quantiles.
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Citations
Cites
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2 · cited 1×
“A quantile verification (QV) skill score for quantile forecasts can be formulated similarly to the Brier skill score (Brier 1950) for probability forecasts.”
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Cited by
A review of advances in flash flood forecasting
Hapuarachchi, H. A. P., Wang, Q. J., & Pagano, T. C. (2011) · Hydrological Processes · doi:10.1002/hyp.8040 · Cited by 560
Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
Sloughter, J. M. L., Raftery, A. E., Gneiting, T., & Fraley, C. (2007) · Monthly Weather Review · doi:10.1175/mwr3441.1 · Cited by 422
Aich, V., Akhundzadah, N., Knuerr, A., Khoshbeen, A., Hattermann, F., Paeth, H., Scanlon, A., & Paton, E. (2017) · Climate · doi:10.3390/cli5020038 · Cited by 135
Castino, F., Bookhagen, B., & Strecker, M. R. (2017) · Climate Dynamics · doi:10.1007/s00382-016-3127-2 · Cited by 49
Metadata
- Authors
- Friederichs, P., & Hense, A.
- Venue
- Monthly Weather Review
- Publisher
- American Meteorological Society
- Published
- 2007-06-01
- Volume
- 135
- Issue
- 6
- Pages
- 2365-2378
- ISSN
- 0027-0644 (ISSN-L)
- 1520-0493
- OpenAlex
- W2122997902
- Cited by
- 199
- References
- 1
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
