TR32-Database: Database of Transregio 32

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

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

Features
Citation
Schomburg, A., Venema, V., Lindau, R., Ament, F., Simmer, C., 2010. A downscaling scheme for atmospheric varibles to drive soil-vegetation-atmosphere transfer models. Tellus B, 62 (4), 242 - 258. DOI: 10.1111/j.1600-0889.2010.00466.x.
Identification
Title(s):Main Title: A downscaling scheme for atmospheric varibles to drive soil-vegetation-atmosphere transfer models
Description(s):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(s):DOI: 10.1111/j.1600-0889.2010.00466.x
Responsible Party
Creator(s):Author: Annika Schomburg
Author: Victor Venema
Author: Ralf Lindau
Author: Felix Ament
Author: Clemens Simmer
Publisher:The International Meteorological Institute in Stockholm
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: COSMO, Atmosphere, SVAT Modelling
File Details
File Name:2010_Schomburg_TellusB.pdf
Data Type:Text
Size(s):17 Pages
File Size:954 kB (0.932 MB)
Date(s):Date Submitted: 2010-06-15
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 - Publication
Status:Published
Review:PeerReview
Year:2010
Type:Article
Article Type:Journal
Source:Tellus B
Issue:4
Volume:62
Number Of Pages:17
Page Range:242 - 258
Metadata Details
Metadata Creator:Annika Schomburg
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:C4
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:168
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features