Subseasonal to Seasonal


National Oceanic and Atmopsheric Administration Subseasonal to Seasonal (S2S) Testbed and Air Quality Weather Research and Forecasting Innovation Act of 2017 (the Weather Act) Weather Research Observations Disaster Related Appropriation Supplemental (DRAS) orecasting a Continum of Environmental Threats (FACETs) Joint Technology Transfer Initiative (JTTI) National Earth System Prediction Capability (National ESPC) Next Generation Global Prediction System (NGGPS)

SUBSEASONAL TO SEASONAL FUNDING

 To foster innovative research as well as transition to practical tools, the S2S program awards a range of competitive awards to University, Cooperative Institute, and NOAA Lab investigators through development stage (Readiness Levels 3-5) research calls and demonstration stage (Readiness Levels 6-8) competitions in cooperation with the Climate Prediction Center (CPC) through the Climate Testbed (CTB).

 

 

FY21 Subseasonal to Seasonal Research Funding

 

 

Pie Chart: slices of the pie indicate the relative allocation of funding in the FY21 WPO S2S research budget, where funds were devoted to intra-agency Service Level Agreement (SLA) research projects, the second year of Climate Testbed Projects competitively awarded in FY20, and the third year of development stage S2S projects competitively awarded in FY19. The remainder is used to maintain the North American Multi-Model Ensemble (NMME) and the Subseasonal Experiment multi-model ensemble (SubX), the WMO S2S database. Note: funding amounts and allocations are in no way a guarantee of continued or future funding by NOAA and do not include overhead, staff, etc.

Currently Funded S2S Projects Download

 

Currently Funded Projects - S2S

Project
 PI Affiliation
FY19 S2S University Grants (Year 1 of 3)
MJO and QBO Contributions to U.S. Precipitation Skill at S2S Leads Elizabeth Barnes Colorado State University
Eric Maloney
Juliana Dias CIRES/University of Colorado
Stefan Tulich
  ESRL/PSD
George Kiladis ESRL/PSD
Ensemble Prediction and Predictability of Extreme Weather via Circulation Regimes David Straus George Mason University
Kathleen Pegion
Stephen Baxter NOAA/NCEP/CPC
S2S Forecasting of North American Precipitation Anomalies: Using Empirical Forecasts to Challenge Dynamical Forecasts David Randall Colorado State University
Elizabeth Barnes
Wanqui Wang NOAA/NCEP/CPC
Stefan Tulich ESRL/PSD
Benefits of stochastic parameterization on the sub-seasonal to seasonal timescales in hindcasts with CESM and UFS Judith Berner UCAR
Jadwiga Richter
  ESRL/PSD
Philip Pegion CIRES/University of Colorado
Diagnosing and Improving Unified Forecast System precipitation through observationally constrained stochastic parameterizations Prashant D. Sardeshmukh CIRES/University of Colorado
Gilbert B. Compo
Cecile Penland ESRL/PSD
Daryl Kleist NOAA/NCEP/EMC
Assessment and calibration of extreme precipitation probabilities in S2S forecast models Chiara Lepore Columbia University
Michael K. Tippett
Melissa Ou NOAA/NCEP/CPC
Michelle L'Heureux
     
     
Project
 PI Affiliation
FY18 Climate TestBed (Year 2 of 2)
A Hybrid Statistical-Dynamical System for the Seamless Prediction of Daily Extremes and Subseasonal to Seasonal Climate Variability Dan Collins NOAA/NCEP/CPC
A New Technique for Improved MJO Prediction Chidong Zhang PMEL
Wanqiu Wang NOAA/NCEP/CPC
Operational Transition of Novel Statistical-Dynamical Forecasts For Tropical Subseasonal to Seasonal Drivers Stephen Baxter NOAA/NCEP/CPC
Carl Schreck North Carolina State University
Sensitivity of NMME Seasonal Predictions to Ocean Eddy Resolving Coupled Models Benjamin Kirtman University of Miami
Robert Burgman Florida International University
Skillfully Predicting Atmospheric Rivers and Their Impacts in Weeks 2-5 Based on the State of the MJO and QBO Elizabeth A. Barnes Colorado State University
Subseasonal to Seasonal Prediction with NCAR's CESM2-WACCM Jadwiga Richter UCAR
Dan Collins NOAA/NCEP/CPC
Judith Perlwitz ESRL/PSD
Testing, refinement and demonstration of probabilistic multi-model, calibrated sub-seasonal global forecast products Andrew Robertson Columbia University
Dan Collins NOAA/NCEP/CPC
     
     
Project
 PI Affiliation
Maintenance Projects/MMEs 
Maintenance and Development of the Subseasonal to Seasonal (S2S) Database and Tools in IRI Data Library Andrew Robertson Columbia University/IRI
SubX Continuation Benjamin Kirtman University of Miami/CIMAS
Continuation of the North American Multi-Model Ensemble (NMME Phase-2): Deployment, Operation and Seasonal Prediction Science   GFDL
Benjamin Kirtman University of Miami/CIMAS
     

 

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