التفاصيل البيبلوغرافية
| العنوان: |
Assessing the impacts of microphysical and environmental controls on simulated supercell storms |
| المؤلفون: |
Freeman, Sean William, author, van den Heever, Susan C., advisor, Rasmussen, Kristen L., committee member, Eykholt, Richard, committee member |
| بيانات النشر: |
Colorado State University. Libraries |
| سنة النشر: |
2019 |
| المجموعة: |
Mountain Scholar (Digital Collections of Colorado and Wyoming) |
| الوصف: |
2018 Fall. ; Includes bibliographical references. ; Supercell thunderstorms are some of the most dangerous single-cell storms on the planet. These storms produce many hazards to life and property, including tornadoes, floods, damaging straightline winds, strong updrafts and downdrafts, and lightning. Although these hazards are not unique to supercells, some of them are often at their strongest when supercell-produced. Because of the destructive power of supercell hazards, supercells have been the subject of scientific research for decades. In this thesis, two of these hazards will be examined: supercell rainfall and supercell tornadoes, with the overarching goal to improve both our process-level understanding and forecasts of these hazards. The first part of this study focuses on supercell rainfall forecasts. Rainfall prediction by weather forecasting models, including supercell rainfall prediction, is strongly dependent on the microphysical parameterization being utilized in the model. As forecasting models have become more advanced, they are more commonly using double moment bulk microphysical parameterizations, which typically predict the hydrometeor number concentration and mass mixing ratio. While these double moment schemes are more sophisticated and require fewer a priori parameters than single moment parameterizations, a number of parameter values must still be fixed for quantities that are not prognosed or diagnosed. Two such parameters, the width of the drop size distribution and the choice of liquid collection efficiencies, are examined in Chapter 2. Simulations of a supercell were performed in which the collection efficiency dataset and the a priori width of the rain drop size distribution (DSD) were independently and simultaneously modified. Analysis of the results show that the a priori width of the DSD was a larger control on the total accumulated precipitation (a change of up to 130%) than the choice of the collection efficiency dataset used (a change of up to 10%). While the total precipitation ... |
| نوع الوثيقة: |
text |
| وصف الملف: |
born digital; masters theses; application/pdf |
| اللغة: |
English |
| Relation: |
Freeman_colostate_0053N_15205.pdf; https://hdl.handle.net/10217/193170 |
| الاتاحة: |
https://hdl.handle.net/10217/193170 |
| Rights: |
Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. |
| رقم الانضمام: |
edsbas.7690640D |
| قاعدة البيانات: |
BASE |