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

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separately (SOI) and it is c<strong>on</strong>cluded that they are highly correlated in the period range 2-2.5<br />

years to 4-6 years and 5.5-6.0 years respectively. It has also been observed that the climatic<br />

anomalies such as drought in India and El-Nino off the coast of Peru are linked with the<br />

Southern Oscillati<strong>on</strong> (Walker circulati<strong>on</strong>)<br />

Kew Words: M<strong>on</strong>so<strong>on</strong> rainfall, Southern Oscillati<strong>on</strong> Index, El-Nino, Climatic fluctuati<strong>on</strong>s<br />

Parallel Sessi<strong>on</strong>s:Forecast<br />

Verificati<strong>on</strong> of Climate Predicti<strong>on</strong>s<br />

Speaker: Albert R. Boehm<br />

Albert R. Boehm<br />

retired<br />

albertboehm@juno.com<br />

WEATHER VERIFICATION: Verificati<strong>on</strong> of climate predicti<strong>on</strong>s is based <strong>on</strong> the<br />

c<strong>on</strong>siderable methodology that has been developed to verify weather forecasts. Thus, first the<br />

methodology for weather forecasts is reviewed.<br />

PURPOSE: Forecasts are verified for two purposes (1) Diagnostic verificati<strong>on</strong>- to give<br />

forecasters feedback to improve their forecasts by removing bias, etc. (2) Quantify utility to<br />

build user edibility (the probability a user thinks that they are correct)<br />

TYPES OF FORECASTS<br />

QUANTITATIVE: a specific value from a c<strong>on</strong>tinuous variable e.g. 50deg. C<br />

PROBABILITY FORECAST: a forecast plus the uncertainty that it will occur expressed as a<br />

probability.<br />

A probability forecast can be used to optimize utilty of a forecast by minimizing expected loss<br />

or allowing for an alternate acti<strong>on</strong>: e.g. go <strong>on</strong> picnic but take an umbrella.<br />

CATEGORY FORECASTS: a well defined event e.g.rain or no rain or a temperature below<br />

freezing.<br />

RANKED CATEGORIES results from a c<strong>on</strong>tinuous variable divided into categories by a set of<br />

thresholds e.g. temperature 0>

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