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Research and Development
RPN RESEARCH ACTIVITIESRPN’s current research priority addresses the important WEP objective of reducing the impact of weather and related hazards on Canadians. This is accomplished through the development of a non-hydrostatic and distributed memory version model called GEM (Global Environmental Multiscale). This model is used for operational predictions in the very short and medium range. It includes improved hydrological, cloud & surface processes and statistical post-processing. This research and development activity will result in measurable improvements in forecast and warning predictions of extreme/severe weather using GEM and post-processing software.
Numerical Weather Prediction (NWP) modelling activities have been the traditional core activity of RPN for the last four decades. RPN’s reputation of excellence in this field of research is well established and recognized worldwide. In the last decade, RPN has developed two significant R&D projects in anticipation of the broader environmental prediction challenges of the new millennium:
The community model MC2 run over Vancouver Island at 2km horizontal resolution: 17H forecast valid 26 June 1997 2000 UTC. Near surface flow (arrows with scale in knots in lower left corner) superimposed over topography (gray shades every 500m). Only one arrow for every other grid point is displayed for each direction.
Another new and important focus of RPN is the adaptation of day-to-day and longer-term changes in middle atmospheric conditions, through the development of a middle atmosphere GEM model. This work enhances AEPD’s global system capability for use as a tool for integrating Canadian and international space and ground-based measurements and chemical modeling activities, for air quality problems including ozone monitoring.
RPN also provides R&D support for the numerical algorithm and software tool package that is needed for the AEPD NWP system. RPN provides essential computer and software expertise to the research and development community using the supercomputing facility. RPN is divided into seven research and support sub-groups to address these R&D objectives.
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