Atmospheric Downscaling using Genetic Programming

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Title:Main Title: Atmospheric Downscaling using Genetic Programming
Description:Abstract: This report consists of two main parts. The rst part is a literature review describing di erent downscaling approaches with focus on recent approaches from genetic and evolutionary computation. The standard methods for dynamical and statistical downscaling are brie y reviewed as well as their main advantages and disadvantages. Two more recent studies on downscaling using GP or GEP (a variant of GP), one on downscaling daily max/min temperature and one on downscaling watershed precipitation are described in more detail. The second part of this report describes our rst tests and rst steps to set up the GP based rule detection system. We have at rst tested GPLAB, a Matlab toolbox for genetic programming, on detecting the downscaling rules for surface pressure and near surface temperature as they are used in the current downscaling scheme. Furthermore, we have tested di erent approaches for dealing with numerical constants in GP on the simple test problem of surface pressure downscaling.
Responsible Party
Creator:Tanja Zerenner (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2013
Topic
TR32 Topic:Atmosphere
Related Subproject:C4
Subject:Keyword: PhD Report
File Details
Filename:Report2_Zerenner_2013.pdf
Data Type:Text - Text
File Size:860 KB
Date:Available: 16.01.2013
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:For internal use only.
Access Limitations:For internal use only.
Licence:[TR32DB] Data policy agreement
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Specific Information - Report
Report Date:16th of January, 2013
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Meteorological Institute, University Bonn
Number of Pages:12 (1 - 12)
Further Information:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Tanja Zerenner
Metadata Created:04.12.2013
Metadata Last Updated:04.12.2013
Subproject:C4
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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