A computer model representation of a 

 blizzard over the Colorado Front Range 

 area, produced /ointly by NOAA's 

 Forecast Systems Laboratory (FSL) and 

 the Colorado State University. The 

 image represents a six hour forecast, 

 looking over Colorado from the south- 

 east. The white/gray area depicts the 

 forecast region for significant clouds, 

 and the red area within the clouds rep- 

 resents the region in which aircraft icing 

 is likely to occur. 



In FY 1994, a parallel version of the GFDL limited-area 

 non-hydrostatic model will be developed for use in 

 investigating the interaction between radiation and 

 clouds. 



Weather Forecast Modeling 



An adiabatic shell for the NOAA National Meteorological 

 Center (NMC) spectral model has been developed and 

 executed on a Thinl<ing Machines CM-200 at 

 DOD/Naval Research Laboratories (NRL) in collabora- 

 tion with NRL. 



A regional atmospheric model has been restructured for 

 execution on highly parallel systems by NMC, in collabo- 

 ration with NOAA's Forecast Systems Laboratory (FSL). 



The initial restructuring and recoding of the 

 regional/mesoscale Optimum Interpolation (01) analysis 

 code for execution on the CM-200 at DOD/NRL has 

 been completed. 



FSL has developed a parallel version of the Mesoscale 

 Analysis and Prediction System (MAPS) as a functional 

 prototype system for both the Federal Aviation 

 Administration and the National Weather Service. 



MAPS is the first of several strategic weather models to 

 be parallelized for the Aviation Weather Program. 

 These models will provide high resolution forecasts on 

 both the national and regional levels to support opera- 

 tional and aviation meteorology. The MAPS model was 

 engineered using an FSL-specified layered software 

 approach to provide portability among scalable parallel 

 systems. 



NOAA HPCC Systems 



A scalable architecture system, a 208-node Intel 

 Paragon, is being installed at NOAA/FSL in conjunction 

 with the ARPA-sponsored National Consortium for High 

 Performance Computing and as a part of the Boulder 

 Front Range Consortium. Consortium members include 

 NCAR (under NSF sponsorship), the University oi 

 Colorado (under ARPA sponsorship), and FSL. 



FSL has developed a benchmark suite to evaluate par- 

 allel processors for use in weather analysis and predic- 

 tion applications. FSL has also specified and is imple- 



109 



