Promoting New Satellite Applications Within the AWIPS Environment

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Presentation transcript:

Promoting New Satellite Applications Within the AWIPS Environment Capitalizing on the recent development of the local capability at CIMSS (Cooperative Institute for Meteorological Satellite Studies) to inject data products into the NWS AWIPS (Advanced Weather Interactive Processing System) data stream, CIMSS and NESDIS researchers are working with NWS forecast offices (FOs) to foster the incorporation and assessment of new satellite products. Workshops were held at the Milwaukee-Sullivan, WI (MKX) and LaCrosse, WI (ARX) NWS FOs, with additional interaction at the NWS Great Lakes Operational Meteorology Workshop. Another workshop visit is planned for the Green Bay FO (GRB) in early 2008. Via LDM (Unidata’s Local Data Manager) internet transfers, satellite products from CIMSS are already being provided to interested offices outside the Central Region. Some of the more unique satellite products from CIMSS, now possible in the AWIPS environment of NWS offices, include: CRAS 2-day forecast water vapor valid – 06 UT on 04 Oct 2007 File name: onepager-CIMSSprods-in-AWIPS-20071105.ppt. Submitted by G. S. Wade, with input provided by J. J. Gerth and A. S. Bachmeier. The CIMSS AWIPS “workshop team” consists of J. J. Gerth, A. S. Bachmeier, K. I. Strabala, W. F. Feltz, and K. Bedka, (all UW-SSEC at CIMSS), and R. M. Aune and G. S. Wade (both NOAA-ASPB at CIMSS). Other UW-SSEC staff at CIMSS who helped with the local AWIPS development and LDM data feed are S. Wanzong, T. Whittaker, J. Robaidek, S. Lindstrom, and R. Dengel. For info on the MODIS SST imagery of Lake Michigan, see: http://cimss.ssec.wisc.edu/goes/blog/archives/527. For info on CRAS forecast water vapor imagery, see: http://cimss.ssec.wisc.edu/goes/blog/archives/542. MODIS SST observed - 17 UT on 19 Sep 2007 High res (1 km or less) imagery from the MODIS (MODerate resolution Imaging Spectroradiomter) onboard the NASA Terra and Aqua platforms, including visible and infrared imagery, and derived product imagery, such as for sea surface temperature (SST) and vegetation index (NDVI). Synthetic cloud and water vapor forecast imagery, from the CRAS (CIMSS Regional Assimilation System) numerical model, using assimilation of cloud top pressures and three layers of moisture as determined from the GOES (Geostationary Operational Environmental Satellite) Sounder.