Multiplicative cascade models for fine spatial downscaling of rainfall: parameterization with rain gauge data Public Deposited

http://ir.library.oregonstate.edu/concern/defaults/8p58pf63p

This is the publisher’s final pdf. The published article is copyrighted by Copernicus Publications and can be found at:  http://publications.copernicus.org/.

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Capturing the spatial distribution of high-intensity rainfall over short-time intervals is critical for accurately assessing the efficacy of urban stormwater drainage systems. In a stochastic simulation framework, one method of generating realistic rainfall fields is by multiplicative random cascade (MRC) models. Estimation of MRC model parameters has typically relied on radar imagery or, less frequently, rainfall fields interpolated from dense rain gauge networks. However, such data are not always available. Furthermore, the literature is lacking estimation procedures for spatially incomplete datasets. Therefore, we proposed a simple method of calibrating an MRC model when only data from a moderately dense network of rain gauges is available, rather than from the full rainfall field. The number of gauges needs only be sufficient to adequately estimate the variance in the ratio of the rain rate at the rain gauges to the areal average rain rate across the entire spatial domain. In our example for Warsaw, Poland, we used 25 gauges over an area of approximately 1600 km(2). MRC models calibrated using the proposed method were used to downscale 15-min rainfall rates from a 20 by 20 km area to the scale of the rain gauge capture area. Frequency distributions of observed and simulated 15-min rainfall at the gauge scale were very similar. Moreover, the spatial covariance structure of rainfall rates, as characterized by the semivariogram, was reproduced after allowing the probability density function of the random cascade generator to vary with spatial scale.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Rupp, D. E., Licznar, P., Adamowski, W., & Leśniewski, M. (2011). Multiplicative cascade models for fine spatial downscaling of rainfall: Parameterization with rain gauge data. Hydrology and Earth System Sciences Discussions, 8(4), 7261-7291. doi: 10.5194/hessd-8-7261-2011
Series
Keyword
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Thomas Johnson (johnson.tom@gmail.com) on 2013-04-25T18:07:30Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) RuppDEEarthOceanAtmosphericSciencesMultiplicativeCascadeModels.pdf: 2373259 bytes, checksum: 7216a2f8390388fd253e3db54f38dd97 (MD5)
  • description.provenance : Made available in DSpace on 2013-04-25T18:07:30Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) RuppDEEarthOceanAtmosphericSciencesMultiplicativeCascadeModels.pdf: 2373259 bytes, checksum: 7216a2f8390388fd253e3db54f38dd97 (MD5) Previous issue date: 2012-03-06

Relationships

In Administrative Set:
Last modified: 07/25/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items