Thursday, April 27, 2017

Current CVP Research Areas

  • Tropical Intraseasonal Variability
    Understanding the Madden-Julian Oscillation (30-90 day cycles) increases intraseasonal projection skill.
  • Pacific Processes, Biases & Climatology
    Improving understanding and representation of Pacific climate (ENSO, MJO, etc...) in models.
  • Decadal Variability and Predictability
    Projecting climate on longer (decadal) timescales is improved by better understanding Ocean circulation.
  • Arctic Climatic Mechanisms
    Arctic changes are not well understood, and predicting sea ice is important for safety & industry.

Recent CVP Competitions

Title: AMOC-Climate Linkages in the North and/or South Atlantic

Year: 2016

Description: The CVP program solicited projects that refine the current scientific understanding of the AMOC state, variability, and change. Specifically, projects were sought that use newly deployed and existing observations in combination with modeling experiments to refine our understanding of the present and historical circulation (and related transports of heat and freshwater) in the North and/or South Atlantic. An emerging priority is to provide a more detailed characterization of AMOC flow pathways and their impact on variability. Successful principal investigators become members of the U.S. AMOC Science Team.
Competition Information Sheet Full Federal Funding Opportunity

Title: Climate Process Teams – Understanding MJO Initiation and Propagation

Year: 2015

Description: Proposals were solicited for focused data analysis and/or multi-model experimentation that sought to better understand tropical Pacific processes, biases, and climatology. Proposals for intercomparisons of model parameterizations, reduced-model experiments, intermediate and conceptual model studies of bias development, short-term forecast experiments, and metrics development were desired.
Competition Information Sheet Full Federal Funding Opportunity Projects Funded Under Competition

Title: Understanding Arctic Sea Ice Mechanisms and Predictability

Year: 2015

Description: Proposals were solicited for focused data analysis and/or multi-model experimentation that sought to better understand tropical Pacific processes, biases, and climatology. Proposals for intercomparisons of model parameterizations, reduced-model experiments, intermediate and conceptual model studies of bias development, short-term forecast experiments, and metrics development were desired.
Competition Information Sheet Full Federal Funding Opportunity Projects Funded Under Competition

Title: Improved Understanding of Tropical Pacific Processes, Biases, and Climatology

Year: 2014

Description: Proposals were solicited for focused data analysis and/or multi-model experimentation that sought to better understand tropical Pacific processes, biases, and climatology. Proposals for intercomparisons of model parameterizations, reduced-model experiments, intermediate and conceptual model studies of bias development, short-term forecast experiments, and metrics development were desired.
Competition Information Sheet Full Federal Funding Opportunity Projects Funded Under Competition

Title: Understanding & Improving Prediction of Tropical Convection via DYNAMO Field Campaign

Year: 2013

Description: Proposals were solicited for focused data analysis and/or multi-model experimentation that sought to better understand tropical Pacific processes, biases, and climatology. Proposals for intercomparisons of model parameterizations, reduced-model experiments, intermediate and conceptual model studies of bias development, short-term forecast experiments, and metrics development were desired.
Competition Information Sheet Full Federal Funding Opportunity Projects Funded Under Competition

Title: Atlantic Meridional Overturning Circulation (AMOC) - Mechanisms and Decadal Predictability

Year: 2013

Description: Proposals were solicited for focused data analysis and/or multi-model experimentation that sought to better understand tropical Pacific processes, biases, and climatology. Proposals for intercomparisons of model parameterizations, reduced-model experiments, intermediate and conceptual model studies of bias development, short-term forecast experiments, and metrics development were desired.
Competition Information Sheet Full Federal Funding Opportunity Projects Funded Under Competition

About Climate Variability & Predictability (CVP)

A vital part of CPO's Earth System Science Division, the CVP Program supports research to provide a process-level understanding of the climate system through observation, modeling, analysis, and field studies. This understanding is needed to improve climate models and predictions so that scientists can better anticipate the impacts of future climate variability and change.

Contact Us

Sandy Lucas, CVP Program Manager
Email: sandy.lucas@noaa.gov
Phone: 301-734-1253

Hunter JonesCVP Program Specialist
Email: hunter.jones@noaa.gov
Phone: 301-734-1215