NGGPS Partners
NGGPS is accelerating development efforts within NOAA, across federal agencies, universities, and the community to create a unified global model capable of predictive modeling across time and space scales. Model developers are identifying and refining model components for the new coupled modeling system, and improving data assimilation and post-processing.
NGGPS Funded Projects
As a community modeling effort, over $12M has been awarded to university and Federal PI's, fostering collaboration between universities, internal weather testbeds and Federal laboratories. Specific details can be found on the NGGPS Funded Projects page.
A list of NGGPS funded projects can be found at Current STI Grants and Projects.
Collaborative Organizations
As part of the NGGPS community modeling effort, NWS collaborates with multiple federal agencies.
-
A wide sector of the numerical weather prediction community including NCEP, NOAA and other agency laboratories and universities, will contribute to the Next Generation Global Prediction System (NGGPS) to create a unified coupled model that meets the evolving national prediction requirements.
The mission of the National ESPC is to develop and implement the next generation integrated physical earth system prediction capability at weather and longer time scales, to support hours-to-seasonal global prediction including the atmosphere, ocean, land, cryosphere and space. Broadly speaking it works to these goals by extending predictive capability to decades using multi-model, multi-agency ensembles. Using ensembles to identify and quantify uncertainty and risk and advancing computational and environmental numerical prediction science and technology.
Federal Laboratories
The NWS solicited proposals under the R2O Initiative for the scientific research and development that will contribute to the design, development and implementation of the NGGPS. Eligible applicants from NOAA, Navy, and the National Aeronautics Space Administration (NASA) laboratories submitted high quality proposals for the scientific development of the various model components, and the following proposals were selected for first year funding.
Eligible applicants include institutions of higher education; other nonprofits; commercial organizations; state, local and Indian tribal governments; and Federal agencies.
| Organization | PI | Proposal Title |
|---|---|---|
| ESRL/GSD | Georg Grell | Using advanced photochemical and aerosol modules to verify the applicability of GOCART aerosol modules within global weather prediction models; Further Testing and Evaluation of a Scale-Aware Stochastic Convection Parameterization in NOAA's Next Generation Global Prediction System (2 years) |
| Zoltan Toth | Improved Statistical Post-processing with the Bayesian Processor of Ensemble (BPE) | |
| ESRL/PSD | Jian-Wen Bao | Evaluation and Adaptation of Advanced Microphysics Schemes in NOAA's Next Generation Global Prediction System Using the NOAA-HMT Observations |
| Tom Hamill | Probabilistic Forecasts of Precipitation Type and Snowfall Amounts based on Global Ensemble Forecasts | |
| Jeff Whitaker | Testing and implementation of a cycling ensemble data assimilation system for operational hurricane prediction | |
| GFDL | Paul Ginoux | Implementation and testing of regional and global dust forecasting |
| Lucas Harris | Subseasonal hurricane prediction in a prototype variable-resolution global NGGPS model | |
| NCEP/AWC | David Bright | An Investigation of Reforecasting Applications for Next Generation Aviation Weather Prediction: An Initial Study of Cloud and Visibility Prediction |
| NCEP/EMC | Shrinivas Moorthi | Accelerated Implementation of Scale-aware Physics into NEMS |
| Michael Ek | Satellite-based Land Data Assimilation in the NCEP Operational Global System | |
| NCEP/WPC | David Novak | Development of Ensemble Forecast Approaches to Downscale, Calibrate and Verify Precipitation Forecasts |
| NRL | Patrick Hogan | Calibration and bias correction of high resolution ocean and sea ice components of the Next Generation Global Prediction System |
