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