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The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

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address new policies for changing climate normals using the results here as a starting point,<br />

and (b) NOAA initiate a program for improved estimates and forecasts of official U. S. normals,<br />

including operati<strong>on</strong>al implementati<strong>on</strong> of a simple hybrid system that combines the advantages<br />

of both the OCN and the hinge fit.<br />

Changepoint Detecti<strong>on</strong> in Multinomial Logistic Regressi<strong>on</strong> with Applicati<strong>on</strong> to Sky-Cloudiness<br />

C<strong>on</strong>diti<strong>on</strong>s in Canada<br />

Speaker: QiQi Lu<br />

QiQi Lu<br />

Mississippi State University<br />

qlu@math.msstate.edu<br />

Xiaolan Wang<br />

Climate Research Divisi<strong>on</strong>, ASTD, STB, Envir<strong>on</strong>ment Canada<br />

Detecting changepoints in a sequence of c<strong>on</strong>tinuous random variables has been<br />

extensively explored in both statistics and climatology literature. <str<strong>on</strong>g>The</str<strong>on</strong>g>re is little, however, for<br />

studying the case with multicategory resp<strong>on</strong>se variables. For instance, the sky-cloudiness<br />

c<strong>on</strong>diti<strong>on</strong> in Canada is reported in <str<strong>on</strong>g>tenth</str<strong>on</strong>g>s of the sky dome and has 11 categories (0 for clear<br />

sky, 1/10 for <strong>on</strong>e <str<strong>on</strong>g>tenth</str<strong>on</strong>g> of sky covered, and 10/10 for overcast). To model and homogenize<br />

such a multinomial variable, this paper develops an overall likelihood-ratio test statistic in an<br />

ordinal logistic regressi<strong>on</strong> model setting. A method of partiti<strong>on</strong>ing of the overall test statistics is<br />

also proposed to enable <strong>on</strong>e to test the changes in the individual categories. This technique is<br />

applied in the analysis of the real cloudiness data.<br />

A cloud-based rec<strong>on</strong>structi<strong>on</strong> of surface solar radiati<strong>on</strong> trends for Australia<br />

Speaker: Manuel Nunez<br />

Manuel Nunez<br />

School of Geography and Envir<strong>on</strong>mental Studies, University of Tasmania, Hobart 7005, Australia<br />

Yun Li<br />

CSIRO Mathematical and Informati<strong>on</strong> Sciences, Wembley, WA 6913, Australia<br />

Despite its importance to climate change, reliable and calibrated measurements of solar<br />

radiati<strong>on</strong> are available <strong>on</strong>ly after 1992 for Australia. In this study we extend the data base by<br />

developing a cloud-based solar radiati<strong>on</strong> model and extending the data set back from 1967 to<br />

2004. Results show no significant change in the majority of stati<strong>on</strong>s, although slightly more<br />

than <strong>on</strong>e quarter of the stati<strong>on</strong>s report a significant decrease of solar radiati<strong>on</strong> with a maximum<br />

of just less than <strong>on</strong>e percent per decade. Trend analyses also detect an upturn in many of the<br />

17

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