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Titlebook: Leading Student Assessment; Charles F. Webber,Judy L. Lupart Book 2012 Springer Science+Business Media B.V. 2012 educational leadership.e

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Jim Brandon,Marsi Quarin-Wrightmate change in a single location: an increase in hurricane intensity in the United States. The presentation starts from a global climate change, namely a homogenous 10 percent increase in hurricane potential intensity, and follows the causal chain to total macro-economic losses. First, the large-sca
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Joan Jeary,Vicki L. Schweanto sea surface temperature (SST), and can be easily computed from large scale fields of evaporation and SST Two independent physically based arguments indicate that tropical cyclones would tend to be spun-up in regions of negative H of large magnitude (< -1). In these regions which only occur in the
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John O. Andersony relational data, but has yet to be employed to study hurricane climatology. The present work is expository introducing network analysis and showing one way it can be applied to understand regional hurricane activity. The network links coastal locations (termed “nodes”) with particular hurricanes (
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Input-Output model is used to investigate indirect losses due to macroeconomic mechanisms and feedbacks. This model translates the changes in direct losses into changes in total losses. The model suggests that total losses increase non-linearly, amplifying the role of the most extreme events. The pa
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Kenneth Leithwoodd deviation increases during the active season. This property is therefore ideally suited to being used as a predictor for TC development. The symmetry of the distributions indicates in addition that there are counter-balancing regions of large positive H within the generation regions where the KE i
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Charles L. Slater,Marla W. McGhee,Sarah W. Nelson,Lionel “Skip” MenoInput-Output model is used to investigate indirect losses due to macroeconomic mechanisms and feedbacks. This model translates the changes in direct losses into changes in total losses. The model suggests that total losses increase non-linearly, amplifying the role of the most extreme events. The pa
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