Skip to main content
Article thumbnail
Location of Repository

Use of the LEAD Portal for On-Demand Severe Weather Prediction

By New Orleans La, Keith A. Brewster, Daniel B. Weber, Kevin W. Thomas, Kelvin K. Droegemeier, Yunheng Wang, Ming Xue, Suresh Marru, Dennis Gannon, Jay Alameda, Brian F. Jewett, Jack S. Kain, Steven J. Weiss and Marcus Christie


The Linked Environments for Atmospheric Discovery (LEAD) Portal was used in real time for on-demand forecasting of severe weather during the 2007 Hazardous Weather Testbed (HWT) Spring Experiment. The LEAD portal is web-based and uses service oriented architecture to allow users to access and analyze meteorological data and to prepare, submit, and monitor numerical forecasts and then archive, analyze, and verify forecast data. Two 9-hour Weather Research and Forecasting model (WRF) forecasts, initialized at 15 UTC over relocatable regional domains, were submitted once a day during a portion of the two month HWT experiment. The forecast domains were centered on areas of elevated risk for severe weather occurrence as determined by a LEAD Project meteorologist using information supplied from Mesoscale Discussions issued by the NOAA/Storm Prediction Center and/or daily HWT weather briefings. The initial conditions for the two forecasts were either interpolated from the LEAD ARPS Data Analysis System (ADAS) 10-km horizontal grid spacing CONUS 1500 UTC analysis or from the 3-hour North American Model (NAM) 1200 UTC forecast. The lateral boundary conditions were extracted from the 1200 UTC NAM forecasts using the ARPS EXT2ARPS software package

Year: 2013
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.