Tuesday, February 28, 2017

Looking for the concurrently running Atlantic Meridional Overturning Circulation (AMOC) webinar series?

The Climate Variability and Predictability (CVP) program will host a webinar series on Understanding & Improving Prediction of Tropical Convection, beginning October 2016. This series is based on recently funded projects in this area. Selected projects in this competition used data collected during the DYNAMO field campaign in modeling and analysis studies in order to improve understanding and representation of the physical processes deemed to be critical to the initiation of the Madden-Julian Oscillation: the interaction between convection and environmental moisture, and the dynamic evolution of clouds, and and air-sea interactions.

You only need to register once for the entire Understanding & Improving Prediction of Tropical Convection series. If you would like to be added to the email list for updates on future CVP webinar series, please fill out the form at the bottom of this page. Signing up for the email list is separate from registering for this current series of webinars. These webinars will be recorded and the video will be available on this page after the presentation. We look forward to your participation in this series.

For questions about the webinar series, please contact Hunter Jones (hunter.jones@noaa.gov).

Understanding & Improving Prediction of Tropical Convection 
Date/Time Title & Presenters (presenting investigator listed first)

4 October 2016

A Quantitative Analysis of Convective Mass Flux Parameterizations Using Direct Observations from DYNAMO
Chris Fairall (NOAA/ESRL); Alan Brewer (NOAA/ESRL)
[Abstract] [Slides]

11 October 2016

Potential roles of the ITCZ and Maritime Continent in MJO initiation
Chidong Zhang (U. Miami)
[Abstract] [Full recording unavailable due to technical difficulties. See Maloney recording for last 10 minutes.]
Use of the Ocean-Land-Atmosphere Model (OLAM) with Cloud System-Resolving Refined Local Mesh to Study MJO Initiation
Eric Maloney (Colorado S.); Robert Walko (U. Miami)
[Recording - First 10 minutes are from presentation by Chidong Zhang.]

25 October 2016

Convective Development and Organization Associated with the Madden-Julian Oscillation (MJO) from a Multiscale Interaction Perspective During the DYNAMO (Dynamics of the Madden-Julian Oscillation) field campaign
Kazuyoshi Kikuchi (U. Hawaii); George Kiladis (NOAA/ESRL/PSD)
MJO Evolution as Revealed by Multivariate Principal Oscillation Analysis
Leslie Hartten (CIRES & NOAA/ESRL/PSD); Cecile Penland (NOAA/ESRL/PSD);  Rosa M. Vargas (Significant Opportunities in Atmospheric Research and Science (SOARS) Program & University of Puerto Rico - Mayagüez)


1 November 2016


Interrogating Tropical Cold Pools with DYNAMO (Dynamics of the Madden-Julian Oscillation) Observations and Modeling
Paquita Zuidema (U. Miami); Steve Krueger (U. Utah); Simon de Szoeke (Oregon S.); Alan Brewer (NOAA/ESRL)
Intraseasonal variability of the upper ocean in the Seycelles-Chagos Thermocline Ridge Region and its impact on Madden-Julian Oscillation (MJO) initiation and development
Saulo Soares (U. Hawaii); Kelvin Richards (U. Hawaii)

15 November 2016


Understanding and Improving Global Climate Model Simulations of Madden-Julian Oscillation (MJO) Initiation over the Tropical Indian Ocean using DYNAMO (Dynamics of the Madden-Julian Oscillation) Field Observations
Hailan Wang (SSAI & NASA); Siegfried Schubert (NASA); Leo Donner (NOAA/GFDL)
Estimating convection’s moisture sensitivity: a model-observation synthesis using DYNAMO data
Brian Mapes (U. Miami); Paquita Zuidema (U. Miami); Zhiming Kuang (Harvard)

17 November 2016


A genesis potential index for Madden-Julian Oscillation (MJO) modulation of tropical cyclone genesis
Bin Wang (U. Hawaii)
Quantifying feedbacks between convection and radiation during the Madden-Julian Oscillation (MJO) using DYNAMO (Dynamics of the Madden-Julian Oscillation) observations and climate models
Simon de Szoeke (Oregon State University)

About Climate Variability & Predictability (CVP)

A vital part of CPO's Earth System Science and Modeling (ESSM) 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.  Learn more...

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


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