Universität zu Köln

Hintz, Michael, Lennartz-Sassinek, Sabine, Liu, Shaofeng and Shao, Yaping ORCID: 0000-0002-2041-5479 (2014). Quantification of land-surface heterogeneity via entropy spectrum method. J. Geophys. Res.-Atmos., 119 (14). S. 8764 - 8778. WASHINGTON: AMER GEOPHYSICAL UNION. ISSN 2169-8996

Full text not available from this repository.

Abstract

Surface heterogeneity is present on every scale of the land surface. However, its role in the exchange processes between the land surface and the atmosphere is still an open question. In this paper, we present a method, which combines the decomposition of land-surface heterogeneity into fine and coarse structures with the quantification of the structures using information entropy. The resulting entropy spectrum allows the assessment of the amount of information on different scales. The wavelet transformation and the most frequent-value method are used as filters for the decomposition. We also derive an analytical formula for estimation of the probability density function (PDF) of filtered random surface parameters using the most frequent-value method. By analyzing the entropy spectrum of synthetic data, we derive rules for the interpretation of the entropy spectrum. We then apply them to real data and appraise, which scale of the heterogeneity is important for land surface and atmosphere interactions.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hintz, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Lennartz-Sassinek, Sabine UNSPECIFIED UNSPECIFIED UNSPECIFIED Liu, Shaofeng UNSPECIFIED UNSPECIFIED UNSPECIFIED Shao, Yaping UNSPECIFIED orcid.org/0000-0002-2041-5479 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-433671
DOI:	10.1002/2014JD021825
Journal or Publication Title:	J. Geophys. Res.-Atmos.
Volume:	119
Number:	14
Page Range:	S. 8764 - 8778
Date:	2014
Publisher:	AMER GEOPHYSICAL UNION
Place of Publication:	WASHINGTON
ISSN:	2169-8996
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language BOUNDARY-LAYER; FLUXES; MODELS; EVAPOTRANSPIRATION; ASSIMILATION; SIMULATIONS; VARIABLES Multiple languages Meteorology & Atmospheric Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/43367