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Past Webinars

Watch US CLIVAR Videos/Webinars on YouTube

- Predictability, Predictions, and Applications Interface Webinar Series
Revisiting Drought and Compound Extreme Events

Dr. Ashok K. Mishra, Texas A&M University

- Predictability, Predictions, and Applications Interface Webinar Series
Uncertainty Quantification and Climate Change Risk Assessment

Nathan Lenssen, Colorado School of Mines

- Predictability, Predictions, and Applications Interface Webinar Series
Atmospheric physics-guided machine learning for climate modeling and weather forecasting

Tom Beucler, Université de Lausanne

- Predictability, Predictions, and Applications Interface Webinar Series
Towards Better Data Practices in S2S Forecasting: An industry perspective

Brian Zimmerman, Salient Predictions

- Predictability, Predictions, and Applications Interface Webinar Series
Escaping "black box" machine learning to increase trust and accelerate discovery

Maike Sonnewald, University of California Davis

- Predictability, Predictions, and Applications Interface Webinar Series
Operationalizing a deep learning model for explained predictions of strong eastern Pacific El Niño events in Peru

Ken Takahashi, Instituto Geofísico del Perú (IGP)/Geophysical Institute of Peru

- Predictability, Predictions, and Applications Interface Webinar Series
Identifying Subseasonal Forecasts of Opportunity Using Explainable AI

Marybeth Arcodia, Colorado State University

- Predictability, Predictions, and Applications Interface Webinar Series
Euro-Atlantic weather regimes and their modulation by tropospheric and stratospheric teleconnection pathways in ECMWF reforecasts

Christopher Roberts, European Centre for Medium-Range Weather Forecasts

- Predictability, Predictions, and Applications Interface Webinar Series
Introduction to the Simple Cloud-Resolving E3SM Atmosphere Model

Peter Caldwell, Climate Modeling Group Leader, Lawrence Livermore National Lab

- Predictability, Predictions, and Applications Interface Webinar Series
A Decade of Kilometer-Scale Climate Modeling: What Have we Learned and Where are we Going?

Andreas Prein, National Center for Atmospheric Research (NCAR)

- Predictability, Predictions, and Applications Interface Webinar Series
Towards 'digital twins' of the earth: the promise of convection-permitting modeling to improve prediction (and predictability)

Andrew Gettelman, Pacific Northwest National Laboratory & NCAR
Co-Chair, WCRP Digital Earth's Lighthouse Activity

- Predictability, Predictions, and Applications Interface Webinar Series
Integrated Coastal Modeling: A DOE project aimed at developing, evaluating, and applying a diverse set of modeling tools to systematically analyze coastal processes, hazards, and responses

Ian Kraucunas, Pacific Northwest National Laboratory

- Predictability, Predictions, and Applications Interface Webinar Series
US CLIVAR role in Co-designing Climate Solutions with Coastal Communities

Emanuele Di Lorenzo, Georgia Tech

- Predictability, Predictions, and Applications Interface Webinar Series
Seasonal Forecasting Skill of Sea-Level Anomalies in a Multi-Model Prediction Framework

Xiaoyu Long, NOAA PSL

- Predictability, Predictions, and Applications Interface Webinar Series
A signal-to-noise paradox in climate science

Doug Smith, UK Met Office

- Predictability, Predictions, and Applications Interface Webinar Series
The signal-to-noise paradox in climate models

 Wei Zhang, Princeton University/NOAA GFDL

- Predictability, Predictions, and Applications Interface Webinar Series
Forecasting pollen for allergy management

Fiona Lo, University of Washington

- Predictability, Predictions, and Applications Interface Webinar Series
Projecting the risk of environmental infectious diseases in response to climate change

Morgan Gorris, LANL

- Predictability, Predictions, and Applications Interface Webinar Series
Arctic-midlatitude linkages: role of sea ice loss versus full Arctic amplification

Yannick Peings, University of California, Irvine

- Predictability, Predictions, and Applications Interface Webinar Series
Storyline approach to regional climate change information

Ted Shepherd, University of Reading

- Predictability, Predictions, and Applications Interface Webinar Series
Arctic Sea Ice Prediction: Current Skill, Inherent Predictability, and Future Prospects

Mitch Bushuk, NOAA GFDL

- Predictability, Predictions, and Applications Interface Webinar Series
Arctic sea ice: A rapidly changing environment and the challenges it presents for prediction

Walt Meier, NSIDC

- Predictability, Predictions, and Applications Interface Webinar Series
An assessment of scale-dependent variability and bias in global prediction models

Nedjeljka Žagar, University of Hamburg

- Predictability, Predictions, and Applications Interface Webinar Series
Regional tendency bias correction employing analysis increments: Insights into climate bias and impacts on forecast skill

Siegfried Schubert, NASA GSFC and Science Systems and Applications, Inc.

- Predictability, Predictions, and Applications Interface Webinar Series
Subseasonal Variability of Severe Convective Storms across the US

Victor Gensini, Northern Illinois University

- Predictability, Predictions, and Applications Interface Webinar Series
Overview of S2S Precipitation Products over the US and Sources of Skill for Wintertime California Precipitation

Michelle L'Heureux, NOAA CPC

- Predictability, Predictions, and Applications Interface Webinar Series
Thermal displacement - a new metric for characterizing marine heatwaves and their potential impacts

Mike Jacox, NOAA SWFSC/ESRL

- Predictability, Predictions, and Applications Interface Webinar Series
The return of the Blob: understanding the recent North Pacific marine heatwave and its implications for the future

Dillon Amaya, University of Colorado

- Predictability, Predictions, and Applications Interface Webinar Series
Theme: Land Processes

Randy Koster, NASA
Sanjiv Kumar, Auburn University

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