Using advanced satellite data to improve Tropical Cyclone analysis/forecast with EnKF

Motivations:

The goal is to provide more accurate mesoscale analysis for tropical cyclone (TC) forecast by improving TC structure and its environments via assimilating high frequency and resolution satellite data with Ensemble Kalman Filter.

Data:

1. AMVs (Atmospheric Motion Vectors) from MTSAT (1R and 2), and derived by CIMSS (Cooperative Institute for Meteorological Satellite Studies)
   

1. Temperature/moisture profile from AIRS clear-sky soundings (CIMSS processed)
   

1. TPW from AMSR-E (CIMSS processed) and ASCAT surface wind
   

Model and Data Assimilation System:

WRF (The Weather Research & Forecasting Model)

DART (Data Assimilation Research Testbed) from NCAR

Presentations:

1. Poster: IHC at Miami, Winter 2011 [pdf]
   

2. Presentation: RSMAS Annual Student Seminar at Miami, Spring 2011 [pdf]
   

3. Presentation: AOGS at Taipei, Summer 2011 [pptx]
   

4. Presentation: AMS Tropical meeting at Ponte Vedra Beach, Spring 2012 [pptx]
   

Publications:

Coming soon!