US Climate Variability and Predictability Program


Upcoming webinars are listed below and login details can be found in the calendar. 

Use this link to join the upcoming Process Study Webinar on January 18, 2022.

Phenomena, Observations, and Synthesis Webinar Series

This series will feature experts, with a focus on early career researchers, who are working on research topics of interest to the US CLIVAR Phenomena, Observations, and Synthesis (POS) Panel. The Panel's mission is to improve understanding of climate variations in the past, present, and future, and to develop syntheses of critical climate parameters while sustaining and improving the global climate observing system. The webinars are held on the first Monday of the month @ 1pm ET.

No webinars scheduled at this time.

Process Study Webinar Series

The Process Studies and Model Improvement Panel hosted webinar series aims to provide feedback to process studies. The goals of this webinar series are 1) to provide feedback on the plans and challenges for individual process studies and 2) to distill programmatic lessons from process studies and field campaigns to help current and future observational programs to effectively meet the broader goals of improving the understanding of physical processes in the ocean and the atmosphere and to translate this understanding into improved observational and modeling capabilities. The webinars are typically held on the third Tuesday of the month @ 2pm ET.

Upcoming Webinars

Title: Convective Processes Experiment - Aerosols & Winds (CPEX-AW)

Shuyi Chen, University of Washington
Ed Zipser, University of Utah

Predictability, Predictions, and Applications Interface Webinar Series

This series features experts who are working on research topics of interest to the Predictability, Predictions, and Applications Interface (PPAI) Panel. The Panel's mission is to foster improved practices in the provision, validation and uses of climate information and forecasts through coordinated participation within the US and international climate science and applications communities. The Panel members act as facilitators, assisting in moving climate science forward. The webinars are held on the third Wednesday of the month @ 2pm ET.

Upcoming Webinars

Title: A signal-to-noise paradox in climate science

Doug Smith, UK Met Office

Special Webinar Series 

From time to time, US CLIVAR may host community webinars that are timely and not specific to a webinar series. These special webinars will be listed below.

No webinars scheduled at this time.

Pre-Summit Webinar Series

Leading up to the US CLIVAR Summit in March 2022, each of the Working Groups and US AMOC Science Team have an opportunity to present an update on past and future activities. The webinars are held on Thursdays at 1pm ET starting on February 3 with the exception of the Data Science Working Group Update, to be held on February 23.

Upcoming Webinars

Title: Water Isotopes Working Group

Kim Cobb, Georgia Tech
David Noone, University of Auckland
Adriana Raudzens Bailey, NCAR

Variations Webinar Series

The winter 2022 edition of Variations features five articles focused on the theme "improving the value of climate data and models for assessing climate impacts and policies." The authors of this edition have been invited on the premise that there are opportunities for climate scientists to improve the value of their data and models for other disciplines, and that many such opportunities can only be recognized if climate scientists have a good understanding of the diverse ways in which climate model output is conceptualized and put to use by those in other fields. Join the authors on January 20 at 1pm ET as they provide a summary of their articles and take Q&A from the community.

Upcoming Webinars

Title: Improving the Value of Climate Data and Models for Assessing Climate Impacts and Policies

Mona Behl, University of Georgia and American Meteorological Society Policy Program
Raphael Calel, Georgetown University and London School of Economics
Kristie L. Ebi, University of Washington
Derek Lemoine, University of Arizona, National Bureau of Economic Research, and Centre for Economic Policy Research
Charles F. Manski, Northwestern University
John Nielsen-Gammon, Texas A&M University
Nathalie Voisin, Pacific Northwest National Laboratory and University of Washington