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Meteorological service satisfaction analysis plays a very important role in public meteorological service satisfaction evaluation. The principal component analysis and the entropy value method are used to gain two sets of ranking results about the satisfaction with the status quo of meteorological service for 31 provinces and cities in China, based on the assessment survey data of national public meteorological service in 2010 The principal component analysis emphasizes the correlation of variables, and the entropy value method emphasizes the uncertainty of variables; so the two ranking results are combined, under the prerequisite of passing the consistency test, to establish another new ranking result by using the integrated comprehensive evaluation method. A new understanding of the satisfaction of meteorological service in a city is obtained, and suggestions about improving meteorological service satisfaction are provided.