4.6 Regionally Enhanced Global (REG) Data Assimilation

Monday, 23 January 2017: 5:15 PM
612 (Washington State Convention Center )
Michael A. Herrera, Texas A&M University, College Station, TX; and C. H. Bishop, T. R. Holt, K. W. Hoppel, D. D. Kuhl, S. Rainwater, I. Szunyogh, Q. Zhao, and A. Brainard

We describe and show results for a new data assimilation system that produces a global analysis that is constrained by information from multiple regions of a limited area model.  This allows for the global model to take advantage of the higher resolution information of the regional model.  The system is tested using the Navy’s global model NAVGEM and regional model COAMPS with month long cycling experiments at both reduced and operational resolutions.  With this new system, operational NWP centers that produce global and regional products can improve their global forecasts without a significant increase in computational resources.
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