Principal investigator: Renate Brummer research team



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3-- Begin testing of maximum potential intensity estimate with MIRS retrievals for improved LGEM.
An analysis of the MIRS moisture profiles was performed. These are needed along with the temperature profiles for the MPI algorithm. The water vapor is retrieved in terms of mixing ratio, and methods were developed to convert to relative humidity (RH), analyze the data in storm-centered coordinates, perform azimuthal averages, and generate perturbation fields. Figure 3 shows an example of a 700 hPa RH field for Hurricane Leslie from the 2012 Atlantic season. Also shown are radial-height cross sections of the azimuthally averaged RH, T anomaly, and RH anomaly fields. The structure of the moisture field looks very reasonable, with increasing RH near the storm center. These should provide good input to the MPI algorithm.

The maximum potential intensity (MPI) algorithm was successfully adapted to using the ATMS retrievals as input. Values were calculated for all 206 cases in the preliminary MIRS dataset described above. Figure 4 shows a comparison of the MPI estimates from three methods, including the empirical MPI currently used by NHC’s statistical intensity models (dark blue circles), the MPI calculated from Bister and Emanuel’s theoretical formula with storm environmental soundings from the GFS analysis (green circles), and the MPI calculated from Bister and Emanuel’s formula with environmental soundings from ATMS (red circles). Also shown in this figure are two SST values (the weekly Reynolds SST and that from the Navy’s daily NCODA analyses). The Reynolds SSTs were used in all of the MPI calculations. There are significant differences between the MPI results, with the MIRS input resulting in higher values for warmer SSTs and lower values for colder SSTs. The LGEM and SHIPS statistical intensity models are being run with empirical and ATMS inputs and the results are being compared.



Figure 3. ATMS MIRS temperature and moisture retrievals for a case from Hurricane Leslie, including the 700 hPa relative humidity field (RH) (upper left), and radial-height cross sections of RH (upper right), temperature anomaly (lower left) and RH anomaly (lower right).


Directory: ftp -> Borger -> CIRA-RAMMB-AnnualReports March2014
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ftp -> Message Race Detection for Web Services by an smt-based Analysis
ftp -> A proposal submitted to the
ftp -> National reports on data buoy activities
ftp -> Louisiana barrier island comprehensive monitoring program (bicm) Volume 1: Barrier Shoreline Post-Storm Assessment
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CIRA-RAMMB-AnnualReports March2014 -> Project title: Feature-based Validation of mirs soundings for Tropical Cyclone Analysis and Forecasting
CIRA-RAMMB-AnnualReports March2014 -> Project title: Hurricane Forecast Improvement Project (hfip) – cira support to Tropical Cyclone Model Diagnostics and Product Development

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