FY20 NGGPS Competition
Research proposals to advance the Next Generation Global Prediction System (NGGPS) with the FV3 dynamical core will focus on accelerating coupled model development to improve forecast accuracy. This includes coupling among the weather prediction model components (atmosphere, ocean, land surface and ice system), advancing data assimilation and ensemble techniques, and developing post-processing forecast tools and improving deterministic forecast skill by improving computational efficiency (see details in NOAA-NWS-NWSPO-2020-2006290).
For the NGGPS competition, 3 proposals were awarded with individual award amounts ranging from $100,000 to $200,000 per year for up to two years. Project start date is September 1, 2020. Details of the projects are summarized in the table below.
Project Title | PI/co-PIs | Affiliation |
Development of High-Resolution for MOM6 for NGGPS
|
Eric Chassignet Alan Wallcraft Alexandra Bozec |
Florida State University |
Applications of METplus to Subseasonal climate Outlooks, Multi-Model Ensembles, Process Studies, and Extremes | Tara Jensen | NCAR |
Jason Levit | NOAA/NWS/EMC | |
Joseph Sienciewicz | NOAA/NWS/OPC | |
Coalescence Precipitation Forecasts to Improve the National Blend of Models | Thomas Nehrkorn | Atmospheric and Environmental Research |
Tom Hamill | NOAA/OAR/ESRL/PSL |
Presentations
Nehrkorn
Hamill, T., 2021: Status report of the QM development. 2 February 2021.
FY20 Weeks 3-4 Competition
Proposals pertaining to the advancement of the Weeks 3-4 Program will contribute to the development of coupled data assimilation approaches; extending the forecast of the UFS from 3 weeks to seasonal timescales; process-based diagnostic tools and seasonal to subseasonal validation/verification metrics for the coupled system; and addressing challenges in subseasonal to seasonal (S2S) prediction that project onto NOAA requirements for weeks 3-4 forecast products (see details in NOAA-NWS-NWSPO-2020-2006290).
For the Weeks 3-4 competition, 3 proposals were awarded with individual award amounts ranging from $100,000 to $250,000 per year for up to two years. Project start date is September 1, 2020. Details of the projects are summarized in the table below.
Project Title |
PI/co-PIs |
Affiliation |
Linear Inverse Modeling for Coupled Analysis and Forecasting in the UFS |
Greg Hakim |
University of Washington |
Matthew Newman Steve Penny |
NOAA/OAR/ESRL & CIRES |
|
Chris Synder |
NCAR |
|
Improving Week 3-4 Weather Prediction through a Global Convection-Allowing Version of the UFS |
Jim Kinter Ben Cash |
GMU |
Vijay Tallapragada |
NOAA/NWS/EMC |
|
Eric Ray |
CIRES/CU |
|
Judith Perlwitz |
NOAA/OAR/ESRL/PSL |
|
Laura Ciasto |
NOAA/NWS/CPC |
Presentations
Ray
Lawrence, Z., 2021: Stratosphere-Troposphere Coupling: An overview of concepts and links to recent climate extremes. NCEP/Climate Prediction Center, 26 January 2021.
Lawrence, Z., 2021: A Toolbox for Verification & Validation of Stratosphere-Troposphere Coupling Processes in Current and Future NOAA S2S Forecast Systems. Weeks 3-4/S2S Webinar Seminar Series, 1 February 2021, https://vlab.noaa.gov/web/weeks-3-4-s2s-webinar-series/past-webinars#zachary-lawrence.
FY20 HFIP Competition
Research proposals to advance NGGPS with the FV3 dynamical core will focus on accelerating coupled model development to improve forecast accuracy. This includes coupling among the weather prediction model components (atmosphere, ocean, land surface and ice system), advancing data assimilation and ensemble techniques, and developing post-processing forecast tools and improving deterministic forecast skill by improving computational efficiency (see details in NOAA-NWS-NWSPO-2020-2006290).
For the HFIP competition, 3 proposals were awarded with individual award amounts ranging from $100,000 to $200,000 per year for up to two years. Project start date is September 1, 2020. Details of the projects are summarized in the table below.
Project Title |
PI/co-PIs |
Affiliation |
Extending The Tropical Cyclone Genesis Index To Global Ensemble Forecasts |
Alan Brammer Andrea Schumacher |
CIRA/CSU |
Dustin Grogan |
University at Albany, SUNY |
|
Developing Regional Ocean Modeling Capabilities with MOM6 for use in the UFS |
Enrique Curchister |
Rutgers |
Application of Innovation Statistics to Diagnose Biases in the HAFS System |
Ryan Torn |
University at Albany, SUNY |