ON THE FURTHER STUDIES OF SUITABLE STORM-SCALE 3DVAR DATA ASSIMILATION FOR THE PREDICTION OF TORNADIC THUNDERSTORMS

Storm-scale 3DVAR data assimilation and NWP for the prediction of tornadic supercell thunderstorms still faces many challenges. Some fundamental issues are still not thoroughly (or explicitly) investigated. To name a few: what data field(s) plays the most important role in storm-scale data assimilation? How much information is required to get a quality data assimilation results? What is the model's first response to different types of observations? How will the neglecting of beam broadening and earth curvature factors in radar forward observation operator affect the data assimilation results? How to build a more dynamic consistent analysis by imposing weak constraints in cost function that is aimed to couple different model variables? This dissertation tries to address some of these questions.

Author dc:creator

• Ge, Guoqing

Advisor dc:contributor.advisor

• Droegemeier, Kelvin||Gao, Jidong

• Thunderstorm forecasting
• Weather forecasting
• Tornadoes
• Doppler radar

Language dc:language

en_US

Identifier

99346905002042

OAI record oai:identifier

https://shareok.org/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Ashareok.org%3A11244%2F319176