Downscaling near-surface atmospheric fields with multi-objective Genetic Programming
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Citation
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Identification
| Title: | Main Title: Downscaling near-surface atmospheric fields with multi-objective Genetic Programming |
| Description: | 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: | 10.1016/j.envsoft.2016.06.009 (DOI) |
Responsible Party
| Creators: | Tanja Zerenner (Author), Victor Venema (Author), Petra Friederichs (Author), Clemens Simmer (Author) |
| Publisher: | Elsevier |
| Publication Year: | 2014 |
Topic
| TR32 Topic: | Atmosphere |
| Related Subproject: | C4 |
| Subject: | Keyword: Downscaling and Disaggregation |
| Geogr. Information Topic: | Climatology/Meteorology/Atmosphere |
File Details
| Filename: | Zerenner_2016_EnvSoft.pdf |
| Data Type: | Text - Article |
| File Size: | 4.2 MB |
| Date: | Accepted: 11.06.2016 |
| 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. |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Environmental Modelling & Software |
| Source Website: | http://www.sciencedirect.com/science/article/pii/S1364815216302122?via%3Dihub |
| Issue: | 2016 |
| Volume: | 84 |
| Number of Pages: | 14 (85 - 98) |
Metadata Details
| Metadata Creator: | Tanja Zerenner |
| Metadata Created: | 18.09.2014 |
| Metadata Last Updated: | 18.09.2014 |
| Subproject: | C4 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 821 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 5 |
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