First semi-annual report for IRTG D5: A high-resolution multi-scale space-time precipitation model from direct measurements and remote sensing

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Title:Main Title: First semi-annual report for IRTG D5: A high-resolution multi-scale space-time precipitation model from direct measurements and remote sensing
Description:Abstract: Our final goal is to develop a consistent space-time, multilevel statistical model for precipitation estimates to merge 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 first semester of this thesis. We give an overview of literature concerning modeling of precipitation estimates from radar and gauges, with special focus on hierarchical Bayesian approaches. We present a model that uses a transformed Gaussian random field as the latent process. Additionally, we are developing ideas for an alternative model, based on the drop size distribution.
Responsible Party
Creator:Katharina Schinagl (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2015
Topic
TR32 Topic:Atmosphere
Related Subproject:D5
Subjects:Keywords: Precipitation, Geostatistics, Inverse Modelling, PhD Report
File Details
Filename:kschinagl_report1.pdf
Data Type:Text - Text
File Size:266 KB
Date:Created: 29.06.2015
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:29th of June, 2015
Report Type:PhD Report
Report City:Bonn
Report Institution:University of Bonn
Metadata Details
Metadata Creator:Katharina Schinagl
Metadata Created:16.10.2015
Metadata Last Updated:16.10.2015
Subproject:D5
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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