Development of Climate Projections for California and Identification of Priority Projections

The Regents of California, San Diego

Recipient

La Jolla, CA

Recipient Location

38th

Senate District

77th

Assembly District

beenhere

$1,150,249

Amount Spent

refresh

Active

Project Status

Project Update

A robust downscaled climate data set for California, produced by this research, is now available on the Cal-Adapt Analytics Engine. The data set includes several variables dynamically and Localized Constructed Analogs (LOCA)2-Hybrid downscaled to 3 km, projections from two hydrologic models, and extreme sea level projections. Additionally, general use projections were identified as a subset of models that could be used if necessary. The Final Report is under development.

The Issue

To plan for and adapt to climate change impacts requires state-of-the-art information at fine spatial scales. However, global climate projections are carried out at coarse resolution. To be useful for California applications, the global models' output must first be downscaled to a much finer scale to account for the complex topography and regional climate of California's varied landscape. Many types of data are needed, such as temperature, precipitation, wind, humidity, snowpack, runoff and sea level rise.

Project Innovation

This project integrated the latest bias correction and downscaling approaches applied to the recently produced global climate models (GCMs) with an engagement process to develop a robust, usable, set of climate projections applicable for California. The dynamical and hybrid statistical-dynamical downscaling along with the hydrologic modeling, hourly sea level projections proposed is unique. It provides California with one of the world's most comprehensive, high resolution climate data sets and by working with stakeholders the data developed will be regionally relevant. This project provides the climate projections that IOUs and other stakeholders need to plan and adapt to such changes. Both a full and comprehensive set of data, and a reduced set of general use projections are supplied. The project developed data that can be levearged by the California’s Fifth Climate Change Assessment and studies in agriculture, human health, water management, infrastructure planning, energy demand, and wildfire threats.

Project Goals

Combine dynamical and hybrid downscaling to produce comprehensive, high quality, regional relevant, climate projections
Use the downscaling to run hydrologic models to produce associated water cycle-related projections
Produce hourly sea level projections to support resilience planning
Identify and downscale targeted climate extremes to assess future climate-driven hazards
Develop general use climate projections that the energy sector and California can use to anticipate changes and impacts
Make downscaled data, documentation and interpretation available for use by other relevant research projects

Project Benefits

This research provides clearer insight into how climate change may affect California’s energy system, improving long-term reliability and safety. The research supports IOUs to be better able to anticipate changes in energy demand, supply, by developing detailed, locally relevant climate projections of how changes in climate may impact energy demand and supply based on changes in temperature, humidity, winds, and streamflow (hydroelectric). Additionally, the projections provide information and scenarios of how climate change could impact energy infrastructure and affect both reliability and safety, due to climate impacts such as higher temperatures, fire weather and exposure to flooding. This research supports IOUs in planning and adapting more effectively, reducing outages, enhancing safety, and ultimately supporting a more resilient and cost-effective energy system for customers.

Greater Reliability

Reliability

The downscaled climate projections provide information to the IOUs and broader energy sector about how climate change may impact energy demand and supply based on changes in temperature, humidity, winds, and streamflow.

Increase Safety

Safety

The downscaled climate projections provide information and scenarios of how climate change could impact infrastructure affecting both reliability and safety of the electricity system.

Key Project Members

Project Member

Dan Cayan

Principal Investigator
Scripps Institute Of Oceanography, UC San Diego
Project Member

Julie Kalansky

Project Manager
Scripps Institute Of Oceanography, UC San Diego

Subrecipients

Rocket

The Regents of the University of California on behalf of the Berkeley campus

Rocket

The Regents of the University of California on behalf of the Los Angeles Campus

Rocket

Match Partners

Rocket

The Regents of the University of California on behalf of the Los Angeles Campus

Rocket

Contact the Team

*Required