Aggregation and Disaggregation of radar rainfall data

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Title:Main Title: Aggregation and Disaggregation of radar rainfall data
Description:Abstract: Our fi nal goal is to develop a consistent space-time, multilevel statistical model that merges rain radar measurements and other observations of precipitation. The model shall represent spatial dependences, take account of systematic and random errors of radar data and combine di erent types of measurements for rain. In order to do this we face measurements on diff erent scales. The merging will be done on large scales followed by disaggregation to smaller scales for hydrological modelling. At the beginning we transform rainfall intensity to a suitable and useful distribution. Then correlations are derived and a Gaussian Markov random fi eld is fitted. The methods to be used are Geostatistics, Bayesian hierarchical modelling and the theory of Gaussian Markov Random Fields.
Responsible Party
Creator:Katharina Krebsbach (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2013
Topic
TR32 Topic:Remote Sensing
Related Subproject:D5
Subject:Keyword: PhD Report
File Details
Filename:Report2_Krebsbach_2012.pdf
Data Type:Text - Text
File Size:1.1 MB
Date:Available: 30.03.2012
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Report
Report Date:30th of March, 2012
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Meteorological Institute, University of Bonn, Germany
Number of Pages:14 (1 - 14)
Further Information:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Katharina Krebsbach
Metadata Created:16.12.2013
Metadata Last Updated:16.12.2013
Subproject:D5
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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