ICNet's Webinar Series continues this Fall with presentations on Infrastructure and Climate Change.
Climate Change Adaptation and Scenarios, and Global Climate Model Dynamical and Statistical Downscaling are covered in this series of webinars.
Empirical-Statistical Downscaling: Unpacking Pandora’s Box
We know the future is uncertain—but we also know that we can’t use past climate to predict the future any more. Thanks to centuries’ worth of carbon dioxide emissions from human activities, the Earth’s climate is changing. Symptoms are not just limited to increases in mean temperature: they also include more frequent heavy precipitation extremes, rising sea level, stronger hurricanes, and more intense and more frequent heat waves.
In some cases, we only need the direction of the trend to account for these changes in future planning. For other purposes, though, we need very detailed high-resolution climate projections. How do we convert the relatively coarse information we get from global climate models into high-resolution projections: over a fine grid, or for individual weather stations; at daily, or even hourly, time scales?
Empirical-statistical downscaling (ESD) is the most common approach used to generate high-resolution climate projections for impact assessment. This webinar will begin with a brief overview of the main types of ESD before digging deeper into the specific techniques being used to generate the projections provided by the Infrastructure Climate Network and used in the U.S. National Climate Assessment.
Wednesday December 10, 2-3 pm ET
Statistical Downscaling of Global Climate Model Output
Katharine Hayhoe, Texas Tech University
Please register for the ICNet Webinar Series:
After registering, you will receive a confirmation email containing information about joining the webinar.