Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6962311 | Environmental Modelling & Software | 2016 | 14 Pages |
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 10Â m-temperature fields from 2.8Â km to 400Â 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.
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Physical Sciences and Engineering
Computer Science
Software
Authors
Tanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer,