A High-Quality Tropical Cyclone Reanalysis Dataset Using 4DVAR Data Assimilation Technique
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1 A High-Quality Tropical Cyclone Reanalysis Dataset Using 4DVAR Data Assimilation Technique Prof. Tim Li IPRC/University of Hawaii and Dr. Fuzhong Weng, Chief Sensor Physics Branch NOAA/NESDIS/Office of Research and Applications
2 Outlines Why we are here? Project objectives Methodology Anticipated products Potential applications Partners Preliminary results Challenges Opportunities
3 Official Analysis and Observations FRANCES (2004) SLP and Surface Wind Fields from NCEP Analysis; 1002 hpa; 35 m/s NASA Aqua Image for Hurricane Frances (2004); 945 hpa; 60 m/s
4 Official Analysis and Observations TOKAGE (2004) SLP and Surface Wind Fields from NCEP Analysis; 991 hpa; 27 m/s NASA Aqua Image for Typhoon Tokage (2004); 940 hpa; 43 m/s
5 Why we are here? Physical understanding of TC intensification and cyclone genesis is very limited NCAR/NCEP and ECMWF analysis/reanalysis data are too coarse (both in temporal and spatial scales) for TC study, more suitable for climate research So far there are no reliable, high temporal and spatial resolution data sets suitable for TC research, but we have much observational data for individual TC
6 Project Objective To construct a reliable, new data set for entire tropical cyclone life cycles during the year 2004 summer season in the western pacific with the application of the advanced 4DVAR data assimilation technique and the use of latest satellite products and aircraft/ship/landbased observations.
7 Amsu T&Q Quikscat wind Trmm Rain Dropsonde Observations for Typhoon Surveillance near the TAiwan Region JTWC Best Track Data Goes-9 wind
8 Anticipated product 2004 western pacific typhoon (17 cases with MSLP lower than 960 mb) Entire life circle 3000 km x 3000 km, km resolution, vertical levels (depends on computer resource) NETCDF/HDF data format Preview images Located at APDRC data server
9 Potential Applications The high-resolution reanalysis dataset that covers entire life cycles of TC will advance our understanding of fundamental dynamics of TC and its interaction with environmental flows The methodology applied here may be help for real-time operational forecasts, especially leading to the improvement of TC intensity forecast skill Help generate near real-time products of detailed TC structures for disaster estimation and water resource management for US-affiliated Pacific islands and coastal regions
10 Partners
11 Preliminary Results: TOKAGE (2004) Best Track Central Pressure
12 Minimal Sea Level Pressure Analysis:Observation:Reanalysis CSLP (hpa) NCEP FNL Observation Reanalysis Time (day.hour)
13 Analyzed DBZ (Tokage)
14 Challenges Computer cost is too high (1000 CPU hours / case) Observational data collecting and analyzing take up about 60% time and work Uses of satellite data in cloudy and precipitation conditions requires the innovative data assimilation scheme
15 Opportunities As a side product, an extensive observational dataset specifically for 2004 typhoon season was available, hopefully, can be used by public Directly assimilating satellite radiance to improve the T&Q analysis in cloudy and precipitation situation; Collaboration with NOAA/NESDIS and the US Joint Center for Satellite Data Assimilation scientists Reanalysis for other years and other ocean basin We are looking forward to getting the project started once the funding arrives
16 THE END
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