A modified convective/stratiform partitioning algorithm /
addition, the algorithm was applied to radar data from
| Main Author: | |
|---|---|
| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1998.
|
| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | addition, the algorithm was applied to radar data from algorithm has been developed which partitions algorithm often misclassified the leading edge of algorithm was tested using a large database of area and 15% of the total rain volume was reclassified authors have developed their own convective-stratiform convection. The results showed that the previous convective cells. The results from the new algorithm convective storms in southeast Texas, including squall convective. The algorithm also left "rings'' of Darwin, Australia in order to test the transferability dataset were used to validate both algorithms. In heating profiles. Also, radar-derived estimates of important because of the differences in the diabetic Knowledge of the distribution of convective and rographics. lines, unorganized convection with little stratifying missclassifying the enhanced radar echo to the rear as of the algorithm. partitioning algorithms. Roughly 20% of the total echo partitioning, but each had its limitations. An precipitating systems into their convective and proved to be important parameters in the radar reflectivity and the bright-band faction (BBF) radar reflectivity-rail-ate relationships. Several rain, and stratifying rain with embedded cores of rainfall could possibly be improved by using different reclassification. Dual-Doppler data from the PRE-STORM show a first order improvement to one of the previous squall lines as stratifying, in addition to stratiform components using radar reflectivity data. stratiform rain around the cores of isolated stratiform rainfall in precipitating systems is structure as determined by the radar reflectivity. The This was accomplished by combining the strengths of two previous methods and maximizing the use of cloud using the new algorithm. The horizontal gradient of |
|---|---|
| Item Description: | "Major subject: Meteorology". Vita. |
| Physical Description: | xii, 91 leaves : illustrations, maps ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references (leaves 87-90). |