The NOAA Climate Variability and Predictability (CVP) Program is hosting a webinar series on the Tropical Pacific Observing System (TPOS) Pre-Field Modeling Studies that will highlight the recent results from the CVP-funded projects. The goal of these modeling studies is to refine the current scientific understanding of the equatorial Pacific climate system, with a specific focus on two process studies identified in the TPOS 2020 First Report, “Pacific Upwelling and Mixing Physics (PUMP)” and “Air–sea Interaction at the eastern edge of the Warm Pool”. Their results will assist in the planning of future field campaigns. The webinar series will have five sessions (running on a biweekly or weekly basis) starting on Thursday, September 22, 2022 and ending on Thursday, November 10, 2022. Each session will be one-hour long, and feature two, 20-minute presentations. There will be time for questions from the audience.
The Climate Variability and Predictability (CVP) program will host a webinar series on AMOC Mechanisms and Decadal Prediction, beginning November 2016. This series is based on recently funded projects in this area. Selected projects in this competition focused on multi-model analyses and experimentation that sought to better understand the mechanisms of AMOC variability and predictability in different models.
The Climate Variability and Predictability (CVP) program will host a webinar series on decadal variability and predictability, beginning September 2015. This series is based on recently funded projects in this area. These projects were selected to explore "the role and inherent predictability of coupled ocean-atmosphere interactions in the global climate system over sub-decadal and longer timescales with an emphasis on climatic impacts over North America" to improve NOAA's ability to predict climate at the decadal timescale and to inform the most recent IPCC Assessment Report as well as other assessments such as the National Climate Assessment.
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.
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.
The NOAA Climate Variability and Predictability (CVP) Program is hosting a webinar series on the Years of the Maritime Continent that will highlight the recent results from CVP-funded projects. The goal of the "Years of the Maritime Continent (YMC)" is to expedite the progress of improving understanding and prediction of local multi-scale variability of the MC weather-climate system and its global impact through observations and modeling exercises. The webinar series will be ten biweekly sessions running from September 10, 2020 to March 11, 2021, with a break for the winter holidays. Webinars will feature two, 20-minute presentations per session, with time for questions. You can find the webinar schedule, and recording on the webinar page.