The tropics receive the most incoming heat from the sun, and this heat is redistributed poleward driving much of the circulation, climate and weather we experience. As a result, what happens in the tropics is very important to understanding how weather and climate will change at the mid-latitudes and at the poles. Moreover, understanding variability on the sub-seasonal scale is important to close the gap between weather and climate timescales and create seamless prediction capabilities at NOAA. Understanding the Madden-Julian Oscillation (30-90 day cycles) increases intraseasonal projection skill.The Madden-Julian Oscillation is the key process we focus on in this area, as it is the dominant influence in the tropics at this timescale, and improved modeling of this phenomenon increases predictability across the United States. Image Source: NOAA ATOMIC, Courtesy Elizabeth Thompson
Using observations to improve understanding and representation of Pacific climate (ENSO, MJO, etc...) in models. At present, climate models exhibit a number of errors in the tropical Pacific in fields such as sea surface temperature, wind velocity, and cloud microphysics. This leads to representations of the Earth system that are not realistic, thus degrading our ability to forecast weather and climate. For example, many models do not yet accurately simulate the correct placement of the Intertropical Convergence Zone (ITCZ) - a belt of clouds and precipitation near the equator - and in fact may produce two ITCZs at times when this is not realistic. This leads to models not representing natural variability modes such as El Niño and the Madden-Julian Oscillation well. These biases in turn reduce prediction skill of temperature and precipitation, and lead to increased uncertainty in projections of future climate.
Image Source: www.ospo.noaa.gov/Products/ocean/sst/anomaly
Prediction of climate at the decadal timescale is essential to long-term planning in a number of fields - from water resource management to urban planning and emergency management - but predictions at this scale face unique challenges when compared to short-term weather forecasts and long-term climate projections. While operational weather forecasts rely on proper initialization using observations, and while climate projections rely on scenarios of external forcing and a well-calibrated climate model, decadal-scale projections require that all of these perform well, skillfully simulating phenomena such as the Atlantic Meridional Overturning Circulation (AMOC). Image
Source: www.gfdl.noaa.gov/visualizations-oceans
Year: 2016
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.
Information Sheet: ESS_FY16_Information_Sheet.pdf
Full Federal Funding Opportunity: CPO FFO FY2016-final.pdf
Projects Funded Under Competition:
Year: 2015
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.
Information Sheet: FY15CVP_InfoSheet_v3_final.pdf
Full Federal Funding Opportunity: NOAA-OAR-CPO-2015-2004099 FFO Report REVISED.pdf
Projects Funded Under Competition: DivisionsProgramsEarthSystemScienceandModelingClimateVariabilityPredictability(CVP)FundedProjects
Year: 2014
Information Sheet: FY14_InformationSheet_CVP_July 10.pdf
Full Federal Funding Opportunity: noaa-oar-cpo-2013-2003445-db (3).pdf
Year: 2013
Information Sheet: ESS_FY13Information_Sheet_(final)_6-26-2012.pdf
Dr. Sandy Lucas CVP Program Manager P: 301-734-1253 E:
Virginia Selz CVP Program Manager P: 301-734-1265 E:
Jose Algarin CVP Program Specialist E:
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AMOC Mechanisms & Decadal Predictability
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