CAL-ADAPT Analytics Engine

A Scientific Partnership

Solution Application

Climate Change

Cal-Adapt: Analytics Engine
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Turning California’s Climate Change Assessment into practical information

California has invested a lot in producing climate projections, but climate data can be difficult to access and utilize for many users.

The Analytics Engine will offer a cloud-based analytics platform to help transform the petabytes of data into useful and accessible data products.

When to use
Cal-Adapt vs. the Analytics Engine

Cal-Adapt

Cal-Adapt logo
  • Interactive maps and tools
  • CMIP5 data
  • Daily + 6km resolution

Analytics Engine

Cal-Adapt: Analytics Engine
  • Detailed data analysis
  • CMIP6 data
  • Hourly + 3km resolution

Scientific Collaboration

SIG plays a key role in a collaborative effort with scientists, academics, technical experts, and policy leaders to develop the Cal-Adapt: Analytics Engine. This climate data platform features advanced analytics and metrics to support California’s electricity sector in climate adaptation, vulnerability and risk assessment, and design specifications.

Development

The Analytics Engine team co-develops industry-specific climate analyses tailored to regional service areas through curated discussions and working groups with potential users and decision-makers. This collaborative approach ensures the creation of science-based decision-support tools for the electricity sector

Analytics Tools

Interactive panels allow users to customize data and visualizations, while basic climate data processing functions and advanced features are provided through a custom open-source code library (climakitae).

Cal-Adapt Analytics Engine: Timeseries Transformations
Cal-Adapt Analytics Engine Gthub

Analytics Engine Notebooks

Notebook Previews

Getting Started

Explore and subset the data available on the Analytics Engine

Exploring Uncertainty in Extreme Climate Events

Explore internal variability by focusing on projected changes in extreme precipitation

Explore Uncertainty in Climate Data

Explore model uncertainty by focusing on temperature trends across simulations

Counting threshold exceedance events

Understand the duration of extreme events

Exploring the regional response to a warmer world

Apply a global warming levels approach to understand the regional response

Timeseries Transformations

Analyze climate timeseries data

Info

Contact Us
info@sig-gis.com
Spatial Informatics Group
2529 Yolanda Ct.
Pleasanton, CA 94566

Science Groups

Environmental Mapping
Carbon Offsets
Natural Hazards
Ecosystem Services
Forest and Agriculture Management
Environmental Software

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