NOAA Laboratories 

 Involved in HPCC 



- Geophysical Fluid Dynamics 



iMhoratory (GFDL) 

 Princeton, New Jersey 



- Forecast Systems Laboratory 



(FSL) 



Boulder, Colorado 



- National Meteorological Center 



(NMC) 



Camp Springs, Maryland 



NREN: Improving Access to Systems and Data 



By using the Internet, NOAA researchers can easily 

 access massively parallel systems at distant locations. 

 Geographically distributed researchers can collaborate 

 and easily share NOAA computing resources and data 

 by accessing these systems remotely from high perfor- 

 mance workstations. 



NOAA plans to make its vast environmental data 

 archives more accessible to the scientific community, 

 while preserving the integrity of operational NOAA sys- 

 tems. Greater NOAA Internet connectivity will substan- 

 tially improve access to these data. To support this 

 increased Internet use, a NOAA Internet Network 

 Information Center has been established. The Center 

 will provide information and assistance to all NOAA 

 Internet users and to scientists at other agencies and in 

 academia with whom they collaborate. 



ASIA: Environmental Grand Challenges 



NOAA is developing advanced algorithms and redesign- 

 ing climate prediction and weather forecasting models to 

 use new parallel programming paradigms. 



NOAA will conduct a phased acquisition of scalable par- 

 allel systems for use in climate prediction and weather 

 forecast modeling. The new models will be installed and 

 evaluated on these systems. 



IITA: Environmental Applications and Improved 

 Data Accessibility 



NOAA proposes to investigate environmental monitor- 

 ing, prediction, and assessment applications, and to 

 expand efforts to make its environmental data more 

 accessible. 



BRHR: Increasing the Base of Researchers and 

 Users 



The number of NOAA users who can effectively use 

 scalable systems will grow considerably. In addition, 

 substantially more visiting scientists will work with NOAA 

 researchers on Grand Challenge problems, encouraging 

 both evolutionary improvements and creative break- 

 throughs in climate prediction and weather forecasting. 



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