Designing an Algorithm to Predict the Intensity of the Severe Weather Season

<p>Examination of atmospheric and oceanic circulations may explain interannual climate variability in the Northern Hemisphere on a seasonal scale. It is crucial to develop more accurate seasonal climate forecasts using both global circulation and sea surface temperature (SST) indices to aid in long-range weather forecasts. These global circulation and SST indices are becoming increasingly available to worldwide users and using them for seasonal prediction has spread not only to scientists but also to brokerage firms utilities and the Department of Defense (DoD). DoD is extremely interested in long-range seasonal forecasts of severe weather for asset protection mission planning and worldwide operations. The goal of this research was to create a predictive algorithm for locations in the southeastern and south-central portion of the United States in support of the Air Force Combat Climatology Center (AFCCC) to use in predicting the intensity of the spring and summer severe weather seasons.</p><p>This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact and remains as true to the original work as possible. Therefore you will see the original copyright references library stamps (as most of these works have been housed in our most important libraries around the world) and other notations in the work.</p><p>This work is in the public domain in the United States of America and possibly other nations. Within the United States you may freely copy and distribute this work as no entity (individual or corporate) has a copyright on the body of the work.</p><p>As a reproduction of a historical artifact this work may contain missing or blurred pages poor pictures errant marks etc. Scholars believe and we concur that this work is important enough to be preserved reproduced and made generally available to the public. We appreciate your support of the preservation process and thank you for being an important part of keeping this knowledge alive and relevant.</p>