65th IHC Booklet/Program (pdf - 4.9MB) - Office of the Federal ...
65th IHC Booklet/Program (pdf - 4.9MB) - Office of the Federal ...
65th IHC Booklet/Program (pdf - 4.9MB) - Office of the Federal ...
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Assimilating COSMIC GPS RO data for Investigating TC<br />
Genesis in <strong>the</strong> Eastern Atlantic Region<br />
Keren Rosado and Sen Chiao<br />
Marine and Environmental Systems<br />
Florida Institute <strong>of</strong> Technology<br />
This study is aimed to investigate <strong>the</strong> impact <strong>of</strong> using Global Positioning System Radio<br />
Occultation (GPS RO) sounding data (i.e., Constellation Observing System for Meteorology,<br />
Ionosphere and Climate; COSMIC) for tropical cyclogenesis research. The Wea<strong>the</strong>r Research<br />
and Forecasting (WRF-ARW) model and <strong>the</strong> WRF data assimilation system (i.e., WRF 3DVAR)<br />
are employed to simulate tropical depression- 8 (i.e., TD-8) <strong>of</strong> 2006 when <strong>the</strong> African Easterly<br />
Wave (AEW) and vortex moved out over <strong>the</strong> Eastern Atlantic (12.5°N–18°W). A noteworthy<br />
feature was that Saharan dust outbreak was also observed during this period, which made this<br />
case more sophisticated. The time frame to be focused is from 1200 UTC 09 to 1200 UTC 12<br />
UTC 12, August 2006. The level 2 wetPrf COSMIC data is adopted in this research. A 72-hr<br />
integration is performed in order to better simulate <strong>the</strong> evolution <strong>of</strong> TD-8. The initial and time<br />
dependent lateral boundary conditions are derived from <strong>the</strong> NCEP final analysis (FNL) data. A<br />
3-domain nested simulation is configured with 30-km, 10-km and 3.3-km horizontal resolutions,<br />
respectively. The simulation results are evaluated using <strong>the</strong> African Monsoon Multidisciplinary<br />
Analysis (AMMA) field experiment as well as NASA TRMM MERG products. Statistical<br />
analyses (e.g., bias, absolute mean error, root mean square errors and correlation coefficients) are<br />
performed for quantitative comparisons. It is anticipated that <strong>the</strong> outcome from this research may<br />
fur<strong>the</strong>r advance our understanding <strong>of</strong> <strong>the</strong> role Saharan Air layer (SAL) in association with<br />
tropical cyclogenesis.<br />
Poster Session – Page 11