TR32-Database: Database of Transregio 32

[1058] - Downscaling near-surface atmospheric fields with multi-objective 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., Venema, V., Friederichs, P., Simmer, C., 2016. Downscaling near-surface atmospheric fields with multi-objective Genetic Programming. Environmental Modelling & Software, 84 (2016), 85 - 98. DOI: 10.1016/j.envsoft.2016.06.009.
Identification
Title(s):Main Title: Downscaling near-surface atmospheric fields with multi-objective Genetic Programming
Description(s):Abstract: We present a new Genetic Programming based method to derive downscaling rules (i.e., functions or short programs) generating realistic high-resolution fields of atmospheric state variables near the surface given coarser-scale atmospheric information and high-resolution information on land surface properties. Such downscaling rules can be applied in coupled subsurface-land surface-atmosphere simulations or to generate high-resolution atmospheric input data for offline applications of land surface and subsurface models. Multiple features of the high-resolution fields, such as the spatial distribution of subgrid-scale variance, serve as objectives. The downscaling rules take an interpretable form and contain on average about 5 mathematical operations. The method is applied to downscale 10 m-temperature fields from 2.8 km to 400 m grid resolution. A large part of the spatial variability is reproduced, also in stable nighttime situations, which generate very heterogeneous near-surface temperature fields in regions with distinct topography.
Identifier(s):DOI: 10.1016/j.envsoft.2016.06.009
Responsible Party
Creator(s):Author: Tanja Zerenner
Author: Victor Venema
Author: Petra Friederichs
Author: Clemens Simmer
Publisher:Elsevier
Topic
TR32 Topic:Atmosphere
Related Sub-project(s):C4
Subject(s):CRC/TR32 Keywords: Downscaling and Disaggregation
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:Zerenner_2016_EnvSoft.pdf
Data Type:Text
File Size:4272 kB (4.172 MB)
Date(s):Date Accepted: 2016-06-11
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2016
Type:Article
Article Type:Journal
Source:Environmental Modelling & Software
Issue:2016
Volume:84
Number Of Pages:14
Page Range:85 - 98
Metadata Details
Metadata Creator:Tanja Zerenner
Metadata Created:2014-09-18
Metadata Last Updated:2017-09-08
Subproject:C4
Funding Phase:3
Metadata Language:English
Metadata Version:V42
Dataset Metrics
Page Visits:171
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features