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Remote Sens. 2010, 2(3), 794-818; doi:10.3390/rs2030794
Article

Introduction and Assessment of Measures for Quantitative Model-Data Comparison Using Satellite Images

1,2,* , 2
 and 1
Received: 13 January 2010; in revised form: 5 February 2010 / Accepted: 5 March 2010 / Published: 19 March 2010
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Abstract: Satellite observations of the oceans have great potential to improve the quality and predictive power of numerical ocean models and are frequently used in model skill assessment as well as data assimilation. In this study we introduce and compare various measures for the quantitative comparison of satellite images and model output that have not been used in this context before. We devised a series of test to compare their performance, including their sensitivity to noise and missing values, which are ubiquitous in satellite images. Our results show that two of our adapted measures, the Adapted Gray Block distance and the entropic distance D2, perform better than the commonly used root mean square error and image correlation.
Keywords: image comparison; model data comparison; similarity measures; data assimilation; skill assessment; ocean model image comparison; model data comparison; similarity measures; data assimilation; skill assessment; ocean model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Mattern, J.P.; Fennel, K.; Dowd, M. Introduction and Assessment of Measures for Quantitative Model-Data Comparison Using Satellite Images. Remote Sens. 2010, 2, 794-818.

AMA Style

Mattern JP, Fennel K, Dowd M. Introduction and Assessment of Measures for Quantitative Model-Data Comparison Using Satellite Images. Remote Sensing. 2010; 2(3):794-818.

Chicago/Turabian Style

Mattern, Jann Paul; Fennel, Katja; Dowd, Michael. 2010. "Introduction and Assessment of Measures for Quantitative Model-Data Comparison Using Satellite Images." Remote Sens. 2, no. 3: 794-818.


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