Thursday, April 27, 2017


The Climate Variability and Predictability (CVP) program hosted monthly webinars to share the results of the Dynamics of the Madden-Julian Oscillation (DYNAMO) field campaign. This field campaign, held in the Indian Ocean from 2011-2012, sought to improve our understanding of the Madden-Julian Oscillation and to improve prediction skill of climate and weather models. It was a large international collaborative effort involving 14 countries and many U.S. agencies and research universities. These webinars represent the results of NOAA-funded researchers and are intended to inform a broad scientific audience of the research outcomes and ongoing efforts and questions related to understanding the Madden-Julian Oscillation.

If you would like to be added to the e-mail list for updates on CVP webinars, please fill out the form below. Abstracts for each presentation can be found in the Climate Variability & Predictability project archives.

For questions about the webinar series, please contact Hunter Jones (

DYNAMO Webinar Series Schedule
Date/Time Title & Presenters (presenting investigator listed first)
May 28, 2014
2:00 PM - 3:00 PM EDT
View Recording
Real-time Monitoring and Forecast Support for DYNAMO
Augustin Vintzileos (University of Maryland) & Jon Gottschalk (NCEP)
View Slides
Collaborative Research: Ship-based Measurement of Air-sea Fluxes, the Atmospheric Boundary Layer, and Clouds During MJO Development
Simon P. de Szoeke (Oregon State University), Christopher W. Fairall (ESRL) & Wm. Alan Brewer (ESRL)
View Slides
June 25, 2014
2:00 PM - 3:00 PM EDT
View Recording
Shipboard measurements of aerosol chemical, physical, optical and cloud nucleating properties during the DYNAMO field campaign
Timothy S. Bates (JISAO)
View Slides
Convective Structure and Environmental Conditions in the MJO Initiation over the Indian Ocean
Shuyi Chen & Brandon Kerns (University of Miami – RSMAS), David Jorgensen & Nick Guy (NSSL)
View Slides
July 23, 2014
2:00 PM - 3:00 PM EDT

View Recording
Application of DYNAMO/AMIE observations to validate and improve the representation of MJO initiation and propagation in the NCEP CFSv2
Wanqiu Wang (NCEP) & Joshua Fu (University of Hawaii)
View Slides
A Global Model Investigation of MJO Initiation for DYNAMO
Guang Zhang Scripps Institution of Oceanography
View Slides
August 13, 2014
2:00 PM - 3:00 PM EDT 
View Recording
Upper Ocean Processes Associated with the Madden-Julian Oscillation in the Indian Ocean
Toshiaki Shinoda (Texas A&M Corpus Christi), Chunzai Wang (AOML), & Weiqing Han (University of Colorado)
View Slides
Understanding MJO dynamics and model bias in DYNAMO hindcasts
Eric Maloney (Colorado State University)
View Slides

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
    Phone: 301-734-1253

    Hunter JonesCVP Program Specialist
    Phone: 301-734-1215


    The diurnal cycle of tropical cloudiness and rainfall associated with the Madden-Julian Oscillation

    Thursday, March 16, 2017

    A CPO-funded study analyzed cloudiness and rainfall changes associated with the Madden-Julian Oscillation, which is known to influence weather in the United States.

    Understanding natural climate variability can improve predictions of sea-ice coverage at short and long term scales, study says

    Thursday, March 16, 2017

    A CPO-funded study published on Nature Climate Change demonstrates how understanding natural climate variability can improve predictions of sea-ice coverage at short and long term scales.

    Summer enhancement of Arctic sea-ice volume anomalies in the September-ice zone

    Thursday, March 02, 2017

    A CPO-funded study in the Journal of Climate documents research on sea ice to understand essential processes in the climate system and other ecological systems.

    A new modeling approach to improve decadal climate predictions

    Friday, February 24, 2017

    This study highlights modeling techniques that may enhance predictability of decadal climate change and understanding of North American drought.

    Using the Madden-Julian Oscillation in mid-range weather forecasts

    Tuesday, February 21, 2017

    CPO-supported researchers examined convective variability under different climate scenarios to understand future reliability of the Madden-Julian Oscillation in weather forecasting.

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