Analysis of GALE (Genesis of Atlantic Lows Experiment) Data

The Limited Area Numerical Weather Prediction system is being developed to accurately simulate and study the development of extratropical cyclones, which rapidly develop off the east coast of the U.S. and the North Atlantic Ocean. Data collected during the Genesis of Atlantic Lows Experiment (GALE)...

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Bibliographic Details
Main Authors: Hyman, Ellis, Sashegyi, Keith, Strobel, Darrell, Hardgrove, John, Raman, Sethu
Other Authors: SCIENCE APPLICATIONS INTERNATIONAL CORP MCLEAN VA
Format: Text
Language:English
Published: 1989
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA217182
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA217182
Description
Summary:The Limited Area Numerical Weather Prediction system is being developed to accurately simulate and study the development of extratropical cyclones, which rapidly develop off the east coast of the U.S. and the North Atlantic Ocean. Data collected during the Genesis of Atlantic Lows Experiment (GALE) and the Experiment on Rapidly Intensifying Cyclones in Atlantic (ERICA) are being used for model simulations and studies and for testing of the software developed. Simulations were run for the case of cold air damming and coastal front formation and the subsequent offshore cyclogenesis during the second intensive observing period of GALE. Software is developed to read and unpack the special packed binary data for the analyses and forecasts on the National Meteorological Center (NMC) history tapes, and for the preprocessing of GALE data on the VAX computers. A dry convective adjustment scheme was developed to parameterize sub-grid scale dry convection and incorporated a lateral boundary formulation for use in the model for the simulation of GALE storms. A vertical mode initialization scheme was developed and extensively tested with analyses for the GALE period from the NMC. For use with the initialization procedures, the solver for partial differential equations was also modified as described. For the analysis of the GALE data, an efficient analysis scheme was developed. Prepared in cooperation with North Carolina State University.