TR32-Database: Database of Transregio 32

[593] - Atmospheric Downscaling using Genetic Programming

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Zerenner, T., 2013. Atmospheric Downscaling using Genetic Programming. PhD Report, Meteorological Institute, University Bonn, Bonn, Germany. Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=593 at 2017-06-25.
Identification
Title(s):Main Title: Atmospheric Downscaling using Genetic Programming
Description(s):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(s):Author: Tanja Zerenner
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report2_Zerenner_2013.pdf
Data Type:Text
File Size:860 kB (0.84 MB)
Date(s):Available: 2013-01-16
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only.
Access Limitations:For internal use only.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - 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
Period of Pages:1 - 12
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Tanja Zerenner
Metadata Created:2013-12-04
Metadata Last Updated:2013-12-04
Subproject:C4
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:96
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features