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Prediction of Global Distribution of Cloud Cover Using Multimodel Ensemble

This study addresses the issue of global and regional cloud cover forecasts. Using a suite of global models, the multimodel superensemble forecasts are constructed for total cloud coverage and layered (low, middle, and high) cloud coverage out to 7 days (168 hours). The experiments were conducted on a 1° latitude by 1° longitude spatial grid at a 24 hour temporal resolution. The multimodel superensemble carries a training and a forecast phase. Several training periods were used to determine an optimal training phase. The total period of this study includes October 2006 through February 2007. Clouds from the International Satellite Cloud Climatology Project (ISCCP) were used for training and cloud validations. The metrics for the forecast evaluation include the root mean square errors, spatial correlations, and equitable threat scores. The results show a significant improvement (~25%) of the multimodel superensemble forecasts compared to those from the member models forecasts, as well as their ensemble mean for the global and regional domains. / A Thesis submitted to the Department of Meteorology in partial fulfillment of the requirements for the degree of Master of Science. / Summer Semester, 2010. / April 20, 2010. / Cloud Forecasting, Superensemble / Includes bibliographical references. / T. N. Krishnamurti, Professor Co-Directing Thesis; Paul Ruscher, Professor Co-Directing Thesis; Guosheng Liu, Committee Member; Vasu Misra, Committee Member.

Identiferoai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_181115
ContributorsBucci, Lisa (authoraut), Krishnamurti, T. N. (professor co-directing thesis), Ruscher, Paul (professor co-directing thesis), Liu, Guosheng (committee member), Misra, Vasu (committee member), Department of Earth, Ocean and Atmospheric Sciences (degree granting department), Florida State University (degree granting institution)
PublisherFlorida State University, Florida State University
Source SetsFlorida State University
LanguageEnglish, English
Detected LanguageEnglish
TypeText, text
Format1 online resource, computer, application/pdf
RightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them.

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