Skip Navigation Links www.nws.noaa.gov 
NOAA logo - Click to go to the NOAA home page National Weather Service   NWS logo - Click to go to the NWS home page
Climate Prediction Center

 
HOME > Climate Test Bed > Funded Projects
 
 
 
CTB Funded Projects
 
Investigators Project Title

Funded Projects for FY13 (funding period: August 2013 - July 2016)

Christopher Bretherton, Joao Teixeira, Hualu Pan, Jean-Christoph Gola CPT to improve cloud and boundary layer processes in GFS/CFS
Steven K. Krueger, Shrinivas Moorthi, Robert Pincus, David A. Randall, Peter A. Bogenschutz A CPT for Improving Turbulence and Cloud Processes in the NCEP Global Models

Funded Projects for FY12 (funding period: August 2012 - July 2014)

Kirtman, Kinter, Paolino, Tippett, Barnston, Pegion, Schubert, Reinecker, Suarez, van den Dool, Mendez, Huang, Weaver, Zhang, Gottschalck, Tribbia, Middleton, Wood A U.S. National Multi-Model Ensemble ISI Prediction Experiment - Phase II NMME
 

Funded Projects for FY11 (August 2011 - July 2012)

Kirtman, van den Dool, Huang , Kinter, Pegion, Rosati, Saha, Schubert, DeWitt and Tippett National Multi-Model Ensemble (NMME) Prediction System - Phase 1 NMME Implementation Plan
 

Funded Projects for FY10 (August 2010 - July 2013)

DelSole, Tippett & van den Dool Incorporating Scale and Predictability Information in Multi-model Ensemble Climate Predictions
 
 
Wang & Waliser Multi-Model Ensemble Forecast of MJO
 
 
Wood & Lettenmaeir Enhancing operational drought monitoring and prediction products through synthesis of N-LDAS and CPPA research results
 
 
Xie, Johnson, L'Heureux, Collins & Gottschalk Improved Extended Range Prediction through a Bayesian Approach Exploiting the Enhanced Predictability Offered by the Madden-Julian Oscillation..
 
 
Zeng, Kalnay & Kumar Seasonal Prediction for Ecosystems and Carbon Cycle Using NCEP/CFS and a Dynamic Vegetation Model
 
 
Bretherton, Mechoso, Park & Teixeira CPT for Improving the Representation of the Stratocumulus to Cumulus Transition in Climate Models
 

Funded Projects for FY09 (August 2009 - July 2012)

Schubert, Rienecker, Suarez, Chang, Peņa, Zhu, Yang, Iredel Development of Subseasonal Ensemble Forecast Techniques
 
 
Perlwitz, Long, Alpert & Iredell CFS Stratosphere Improvement
 
Ide, Kalnay, Miyoshi & Wang Multi-model Ensemble Reanalysis System (MERS) Using the 4D-Local Ensemble Transform Kalman Filter (4D-LETKF)
 
Anderson, Mo, Svoboda, Wardlow, Zhan, Mecikalski, Kustas & Brown A GOES Thermal-Based Drought Early Warning Index For NIDIS
 

Funded Projects for FY08 (August 2008 - July 2010)

Goddard, Tippett, Mason, Peņa, van den Dool Recalibrating and Combining Ensemble Predictions
 
Jones & Gottschalck Probabilistic forecasts of extreme events and weather hazards over the United States.
 
Doty, Silva, Halpert & Adams Enabling the Transition of CPC Products to GIS Format.
 
Cane, Wang & Xue Generation and Evaluation of Long-Term Retrospective Forecasts with NCEP Climate Forecast System: Predictability of ENSO and Drought.
 
Kirtman & van den Dool Multi-Model Ensemble Climate Prediction with CCSM and CFS.
 
Annamalai & Kumar Development of an Extended and Long-range Precipitation Prediction System over the Pacific Islands.
 
Lyon & Kumar New Tools for North American Drought Prediction.

Funded Projects for FY07

Hartmann & O'Lenic System-wide advancement of user-centric climate forecast products.

Funded Projects for FY06

DelSole Using Initial tendency errors to reduce systematic errors, identify model errors, and construct stochastic parameterizations.
 
Fox-Rabinovitz Development of neural network emulations of model physics components for improving the computational performance of the NCEP seasonal climate forecasts.
 
McPhaden, Xue, & Behringer The Ocean Component of the NCEP ENSO CFS.

NOAA/ National Weather Service
NOAA Center for Weather and Climate Prediction
Climate Prediction Center
5830 University Research Court
College Park, Maryland 20740
Page Author: Climate Prediction Center Internet Team
Page last modified: June 30, 2014
Disclaimer
Information Quality
Credits
Glossary
Privacy Policy
Freedom of Information Act (FOIA)
About Us
Career Opportunities