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RadarBrightBand
This is an interesting study on how the radar bright band and TRMM was used to detect tropical cyclone structural changes. * Procedure- How does this work? Compute BBH perturbations using TRMM to detect anomalous thermal structure BBH distribution can be used as an indication of symmetry Rain around core characterized by BB Distribution of rainfall ??distribution of convection which tells us about symmetry and ET Strong TC- fairly symmetric BBH distribution, with the largest perturbations close to the center (warm core) Weakening TC- asymmetric BBH distribution with the negative BBH perturbations close to the center (ET) Case Study- Typhoon Meari Became a typhoon on September 22, 2004. Reached maximum strength on 9/24/05 at 922MB (Cat 4) For the next two days it weakened somewhat (showing signs of ET) as it interacted with a upper level trough Meari made landfall on 9/29/05 in Japan (Cat 1) Shortly after reaching maximum strength (Center for Ocean Atmospheric Prediction Studies) ET occurring and weakening the system (Center for Ocean Atmospheric Prediction Studies) FLHs- TC undergoing strong development (Center for Ocean Atmospheric Prediction Studies) FLHs- TC weakening quickly due to ET (Center for Ocean Atmospheric Prediction Studies) Conclusion BBHs computed by TRMM have been used to further improve ET in tropical cyclones BBH perturbations tell us about the symmetry and core temperature of a tropical cyclone Using this data, we are able to more easily predict ET and better forecast tropical cyclones Analysis of case studies will show importance to meteorologists in forecasting Focus on strengths – vertical cross section of clouds and Bright Band (Cloud layers/Precip) Relevance of CloudSAT Comparison between CloudSAT and traditional computer model guidance CloudSAT passed over Cat 4 Hurricane Bill August 19, 2009 at 12:20 EDT Central Pressure of 947 mb (hPa) Maximum sustained winds of 132 mph Important features CloudSAT picked up that other dev
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