WPO’s Climate Testbed partnership with the National Center for Environmental Prediction supports research to improve the operational products at the Climate Prediction Center. We accomplish this by supporting research projects in the collaborative Climate Test Bed, which are intended to demonstrate the potential for scientific advances from the external research community to improve operational climate predictions, and to enhance the public benefits derived from these research activities. This year Climate Testbed proposals focused the external community on activities to advance the NOAA’s subseasonal to seasonal prediction (S2S) capabilities via improved precipitation outlooks.
The FY22 2-year award total* for the 4 selected cooperative agreement projects equals $1.78 M. Projects will be funded for 2 years beginning in August, 2022.
*Award totals are distributed over the life of the projects and conditional on appropriations
Projects Selected
Project Title | PI’s & Co-PI’s | Affiliations |
---|---|---|
Ensemble Post Processing to Remove Projections onto Temporal Spatial Error Eigenvectors to Optimize Seasonal to Subseasonal Forecasts | Paul Roundy (PI), Emerson LaJoie | University at Albany-SUNY, NOAA/NWS/ Climate Prediction Center (CPC) |
Diagnostics Package for MJO-Teleconnections | Christiana Stan (PI), Avichal Mehra, F. Martin Ralph, Jiabao Wang, Yutian Wu, Cheng Zheng, Hyemi Kim, Tara Jensen, Andrea Jenney, Daniela Domeisen, Chaim Garfinkel | George Mason University, NOAA/NWS/ Environmental Modeling Center (EMC), University of California San Diego, Columbia University, Stony Brook University, National Center for Atmospheric Research (NCAR), University of California Irvine, ETH Zurich (Swiss Federal Institute of Technology), Hebrew University Jerusalem |
Development of a Global Aerosol Reanalysis at NOAA in Support of Climate Monitoring and Prediction | Bo Huang (PI), Mariusz Pagowski, Stephen Penny, Sergey Frolov, Georg Grell, Jeffery McQueen, Shobha Kondragunta, Jerome Barre | University of Colorado Boulder, NOAA/ OAR/ Physical Sciences Laboratory (PSL), NOAA/OAR/ Global Systems Laboratory (GSL), NOAA/NWS/ Environmental Modeling Center (EMC), NOAA/National Environmental Satellite, Data, and Information Service (NESDIS), University Corporation for Atmospheric Research (UCAR) |
Transitioning NMME-based seasonal predictions of atmospheric river activity into an operational forecast product | Baoqiang Xiang, Nathaniel Johnson, Kristen Schepel, Kai-Chih Tseng, Wei Zhang (Co-PI), Daniel Harnos, Laura Ciasto | University Corporation for Atmospheric Research (UCAR), NOAA/OAR Global Fluid Dynamics Laboratory (GFDL), Princeton University, NOAA/NWS/ Climate Prediction Center (CPC) |