TR32-Database: Database of Transregio 32

[1141] - Multiscale decomposition for heterogeneous land-atmosphere systems

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

Features
Citation
Liu, S., Shao, Y., Hintz, M., Lennartz-Sassinek, S., 2015. Multiscale decomposition for heterogeneous land-atmosphere systems. Journal of Geophysical Research: Atmospheres, 120, 917 - 930. DOI: 10.1002/2014JD022258.
Identification
Title(s):Main Title: Multiscale decomposition for heterogeneous land-atmosphere systems
Description(s):Abstract: The land-atmosphere system is characterized by pronounced land surface heterogeneity and vigorous atmospheric turbulence both covering a wide range of scales. The multiscale surface heterogeneities and multiscale turbulent eddies interact nonlinearly with each other. Understanding these multiscale processes quantitatively is essential to the subgrid parameterizations for weather and climate models. In this paper, we propose a method for surface heterogeneity quantification and turbulence structure identification. The first part of the method is an orthogonal transform in the probability density function (PDF) domain, in contrast to the orthogonal wavelet transforms which are performed in the physical space. As the basis of the whole method, the orthogonal PDF transform (OPT) is used to asymptotically reconstruct the original signals by representing the signal values with multilevel approximations. The “patch” idea is then applied to these reconstructed fields in order to recognize areas at the land surface or in turbulent flows that are of the same characteristics. A patch here is a connected area with the same approximation. For each recognized patch, a length scale is then defined to build the energy spectrum. The OPT and related energy spectrum analysis, as a whole referred to as the orthogonal PDF decomposition (OPD), is applied to two-dimensional heterogeneous land surfaces and atmospheric turbulence fields for test. The results show that compared to the wavelet transforms, the OPD can reconstruct the original signal more effectively, and accordingly, its energy spectrum represents the signal's multiscale variation more accurately. The method we propose in this paper is of general nature and therefore can be of interest for problems of multiscale process description in other geophysical disciplines.
Identifier(s):DOI: 10.1002/2014JD022258
Responsible Party
Creator(s):Author: Shaofeng Liu
Author: Yaping Shao
Author: Michael Hintz
Author: Sabine Lennartz-Sassinek
Publisher:Wiley Online Library
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Multi-Scale, Heterogeneous, Turbulence
DDC: 550 Earth sciences
GEMET: atmosphere
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:Liu_et_al_JGR_2015.pdf
Data Type:Text
Size(s):14 Pages
File Size:1698 kB (1.658 MB)
Date(s):Date Accepted: 2015-01-08
Issued: 2015-02-07
Date Submitted: 2014-07-02
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:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2015
Type:Article
Article Type:Journal
Source:Journal of Geophysical Research: Atmospheres
Volume:120
Number Of Pages:14
Page Range:917 - 930
Metadata Details
Metadata Creator:Shaofeng Liu
Metadata Created:2015-03-06
Metadata Last Updated:2015-03-06
Subproject:D6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:234
Metadata Downloads:0
Dataset Downloads:5
Dataset Activity
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