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William. M. Lapenta and John C. Derber Environmental Modeling Center NOAA/NWS/NCEP

William. M. Lapenta and John C. Derber Environmental Modeling Center NOAA/NWS/NCEP. Next Generation Operational Global Model Development at NCEP. GDAS/GFS & GEFS Into 2015. Related global system modifications. O bservation usage upgrade (May-Aug. 2013)

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William. M. Lapenta and John C. Derber Environmental Modeling Center NOAA/NWS/NCEP

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  1. William. M. Lapenta and John C. DerberEnvironmental Modeling CenterNOAA/NWS/NCEP Next Generation Operational Global Model Development at NCEP

  2. GDAS/GFS & GEFS Into 2015

  3. Related global system modifications • Observation usage upgrade (May-Aug. 2013) • Include METOP-B, NPP-CrIS, MSG-3, GOES sounders, Windsat in data assimilation system • Air quality model and Whole Atmosphere Model (WAM) – Unified? • Lower horizontal resolution • WAM • 600km top • High atmosphere physics • Air Quality • Inclusion of aerosols and chemistry • Surface sources (daily estimate) • Volcano sources

  4. Operational GFS/GEFS in 2020 Next Generation System • The next-generation Global Forecast System must: • Provide skillful guidance for all NOAA operational applications • Demonstrate at least the computational efficiency of the current and future GFS • Perform with full data assimilation cycling • Provide flexibility to meet future demands (nesting, unified) • Execute with WAM, coupled atm/ocean/land/ice and aerosols • Compatibility with NCEP operational suite • Models Currently Under Development in the US • Flow Following Icosahedral Model (FIM& NIM) • Cubed-Sphere Finite Volume (FV-core) • Model for Prediction Across Scales (MPAS) • Non-hydrostatic MultiscaleModel (NMM) • Global Spectral Model (GSM)

  5. Summary of major global model foci • Model • Much higher vertical and horizontal resolution – Semi-Lagrangian • Improved physics • Inclusion of observed sources • WAM and AQ applications – impact on deterministic run • Analysis • Better use of current data • Use of more data • Use of cloud impacted radiances • Collaboration with external groups to enhance global prediction system

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