A high-resolution multi-scale space-time precipitation model from direct measurements and remote sensing

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Titles:Main Title: A high-resolution multi-scale space-time precipitation model from direct measurements and remote sensing
Subtitle: Second semi-annual report for IRTG
Description:Abstract: Our final goal is to develop a consistent space-time, multilevel statistical model for precipitation estimates which merges rain radar measurements and gauge observations and at the same time accounting for the uncertainty which is present at several stages. In this report we summarize the work done in the second semester of this thesis. We build a Bayesian model for the estimation of DSD parameters in the stationary case with both additive and multiplicative error terms. We evaluate our algorithm in idealized test cases. Starting from this foundation, we detail the necessary steps to develop our model to the next stage.
Responsible Party
Creator:Katharina Schinagl (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2016
Topic
TR32 Topic:Remote Sensing
Related Subproject:D5
Subjects:Keywords: Precipitation, Geostatistics, Inverse Modelling, PhD Report, Remote Sensing
File Details
Filename:kschinagl_report2.pdf
Data Type:Text - Text
Size:14 Pages
File Size:1.1 MB
Date:Created: 24.02.2015
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:24th of February, 2015
Report Type:PhD Report
Report City:Bonn
Report Institution:University of Bonn
Metadata Details
Metadata Creator:Katharina Schinagl
Metadata Created:29.04.2016
Metadata Last Updated:29.04.2016
Subproject:D5
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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