Analytics Engine Data Catalog

The following tables show a list of all raw projections data available on the Analytics Engine. This includes future climate projections and historical climate downscaled from Global Climate Models (GCMs) and a historical reconstruction (reanalysis data based on modeling and empirical weather observations).

Note: The different datasets are very nuanced, and they are not interchangeable. Please review our upcoming Guidance documentation to understand the available data in full.

Details of Available Data

Data Foundation

This table demonstrates the underlying data created by our colleagues at Scripps Institution of Oceanography and UCLA, highlighting the method of downscaling, model availability, and bias correction:

Downscaled Data

The following table showcases data available within Analytics Engine products, including, but not limited to, the Data Catalog and accessible via JupyterHub notebooks.

Hybrid-Statistical Downscaled Data: LOCA2-Hybrid

This downscaling method created data for 15 GCMs with a total of 199 ensemble runs.

The following table shows the LOCA2-Hybrid data constituents available by variable:

• Per SSP there are two counts
  • GCM is the count of GCMs that were downscaled that have that variable in at least one ensemble run
  • Ensembles is the count of ensemble runs that contain that variable
• All LOCA2-Hybrid data is downscaled at a native daily resolution. A pre-aggregated version of the LOCA2-Hybrid data at monthly resolution is also available on the Analytics Engine.

Dynamical Downscaled Data: WRF

This downscaling method created data for 8 GCMs with 1 ensemble run in each emissions scenario.

The following table shows the WRF data simulations available:

• There are two kinds of WRF simulations
  • Projections Simulations is the count of GCMs that were downscaled per emissions scenario and spatial resolution
  • Reanalysis Simulations is a downscaled ensemble run of the ERA5 reanalysis dataset providing an observationally constrained historical reconstruction
• All WRF data is downscaled at a native hourly resolution.

* The Analytics Engine also provides a pre-aggregated version of the WRF data at daily (noted by asterisk) and monthly resolutions for four of the WRF simulations.
** Additional simulations from 1 model (CESM2) for SSP2-4.5 and SSP5-8.5 at 9 km spatial resolution are also available on the Analytics Engine. These simulations are a part of the larger suite of dynamically downscaled GCMs by UCLA, of which the CEC-supported simulations are a subset. More information is available here.

Current Analytics Engine Data Catalog

Datasets available to download and analyze through Cal-Adapt: Analytics Engine

The following table provides information on all available datasets to download and analyze through the Cal-Adapt: Analytics Engine in a searchable format. Each downscaled model is provided and is listed by its "source" GCM, experiment or emissions scenario, variant (the individual ensemble set-up), temporal frequency, and spatial resolution for each variable. Click the magnifying glass icon to begin custom searching of data.