Bringing Global Climate Change to a Local Application

17
http://cal-adapt.org Kevin Koy, Brian Galey, Sarah Van Wart, Matea Marsic, Mark O’Connor, Maggi Kelly Geospatial Innovation Facility College of Natural Resources UC Berkeley Bringing Global Climate Change to a Local Application A product of the Public Interest Energy Research (PIER) program

Transcript of Bringing Global Climate Change to a Local Application

Page 1: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Kevin Koy, Brian Galey, Sarah Van Wart, Matea Marsic,

Mark O’Connor, Maggi Kelly

Geospatial Innovation Facility

College of Natural Resources

UC Berkeley

Bringing Global Climate Change

to a Local Application

A product of the

Public Interest Energy Research (PIER) program

Page 2: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

What the GIF does… Advising Support

Project Development Equipment

Access

Data Discovery

Training

Page 3: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Public Interest Energy Research

California Energy Commission (CEC) program informs decision makers through:

• Climate Monitoring, Analysis, and Modeling • Greenhouse gas Inventory Methods • Options to Reduce GHG Emissions • Impact and Adaptation

Page 4: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

• More than 150 peer reviewed reports on climate change

• Dozens of researchers and organizations

• Thousands of data layers

Page 5: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Mission

Develop an innovative web based platform

to increase access to the wealth of climate

change research and data being produced

by the scientific community in California.

Page 6: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

How?

• Relevant information presented in easy to understand themes and topics

• Interactive maps and charts providing a variety of approaches to explore different aspects of climate change

• Improved access to primary climate change data in GIS and tabular formats

Page 7: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Target Audiences

• General Public Learn about climate change data relevant to their area

• Local planners and technicians

Obtain meaningful information and data to help guide locally relevant climate action plans and adaptation strategies

• Scientific community Access primary data relevant to an area of interest

Page 8: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Collaborative Effort

• Advisory Oversight from CEC, Natural Resources Agency, Google.org

• Initial Research and Data Output from • Scripps Institution of Oceanography • Santa Clara University • Pacific Institute • U.S. Geological Survey (USGS) • UC Berkeley • UC Merced

Page 9: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Development

• Potential users from each audience polled for use cases and needs via survey and interviews

• Initial Beta releases privately tested

• Tools and interactive maps verified with data authors for accuracy

Page 10: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Data

• 2 Scenarios • B1 - The lower emissions scenario • A2 - The medium-high emissions scenario

• 4 Models

• NCAR - National Center for Atmospheric Research Parallel Climate Model (PCM1)

• CCSM - Community Climate System Model Version 3.0 (CCSM3) • GFDL - Geophysical Fluids Dynamic Laboratory (GFDL) CM2.1 • CNRM - Centre National de Recherches Météorologiques

Page 11: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Data Monthly layers 1950-2099 • Actual evapotranspiration • Average temperature • Baseflow • Fire • Fractional moisture in the entire

soil column • Maximum temperature • Minimum temperature • Net surface radiation • Precipitation • Relative humidity • Runoff • Snow water equivalent • Soil moisture at bottom layer • Soil moisture at middle layer • Soil moisture at top layer • Wind

Each variable = 14,400 layers * 150 years * 12 months * 4 Models * 2 Scenarios

Over 230,000 total

Page 12: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

How does it work?

12

Page 13: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Demo

Page 14: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Temperature Animations

Page 15: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Temperature Differences

Page 16: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Temperature Charts

Page 17: Bringing Global Climate Change to a Local Application

http://cal-adapt.org

Upcoming… New tool will aggregate daily temperature projection data to visualize

potential frequency, duration, and severity of future heat waves

Projected number of heat wave days in Los Angeles from the GFDL GCM

simulation, under the A2 GHG emissions scenario. In this case, a heat wave is

any day exceeding 81°F, the 95th percentile of daytime temperature in Los

Angeles during May through September from 1961-1990.

- Dan Cayan - Climate Change and the Future of Southern California