A downscaling scheme for atmospheric varibles to drive soil-vegetation-atmosphere transfer models

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Title:Main Title: A downscaling scheme for atmospheric varibles to drive soil-vegetation-atmosphere transfer models
Description:Abstract: For driving soil–vegetation–transfer models or hydrological models, high-resolution atmospheric forcing data is needed. For most applications the resolution of atmospheric model output is too coarse. To avoid biases due to the non-linear processes, a downscaling system should predict the unresolved variability of the atmospheric forcing. For this purpose we derived a disaggregation system consisting of three steps: (1) a bi-quadratic spline-interpolation of the low-resolution data, (2) a so-called ‘deterministic’ part, based on statistical rules between high-resolution surface variables and the desired atmospheric near-surface variables and (3) an autoregressive noise-generation step. The disaggregation system has been developed and tested based on high-resolution model output (400mhorizontal grid spacing).Anovel automatic search-algorithm has been developed for deriving the deterministic downscaling rules of step 2. When applied to the atmospheric variables of the lowest layer of the atmospheric COSMO-model, the disaggregation is able to adequately reconstruct the reference fields. Applying downscaling step 1 and 2, root mean square errors are decreased. Step 3 finally leads to a close match of the subgrid variability and temporal autocorrelation with the reference fields. The scheme can be applied to the output of atmospheric models, both for stand-alone offline simulations, and a fully coupled model system.
Identifier:10.1111/j.1600-0889.2010.00466.x (DOI)
Responsible Party
Creators:Annika Schomburg (Author), Victor Venema (Author), Ralf Lindau (Author), Felix Ament (Author), Clemens Simmer (Author)
Publisher:The International Meteorological Institute in Stockholm
Publication Year:2013
Topic
TR32 Topic:Atmosphere
Related Subproject:C4
Subjects:Keywords: COSMO, Atmosphere, SVAT Modelling
File Details
Filename:2010_Schomburg_TellusB.pdf
Data Type:Text - Article
Size:17 Pages
File Size:954 KB
Date:Submitted: 15.06.2010
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 - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Tellus B
Source Website:www.tellusb.net
Issue:4
Volume:62
Number of Pages:17 (242 - 258)
Metadata Details
Metadata Creator:Annika Schomburg
Metadata Created:03.12.2013
Metadata Last Updated:03.12.2013
Subproject:C4
Funding Phase:1
Metadata Language:English
Metadata Version:V50
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