The ensemble of CMIP6 daily predictor variables for statistical downscaling

One of the ways of obtaining local-scale climate change scenarios is to use regression-based statistical downscaling of GCMs. In this approach, an empirical relationship between GCM predictors (i.e., near-surface and upper-level atmosphere circulation variables) and surface predictands (such as observed temperature or precipitation from a station) is derived by linear or non-linear transfer functions. For this purpose, an ensemble of daily predictor variables are produced from CanESM5, MPI-ESM1.2-HR, NorESM2-MM, and two reanalysis datasets.



A total of 26 predictor variables are included in each ensemble, composed of both raw and derived variables, with multiple atmospheric variables available at three different pressure levels. Predictor variables are available at the daily scale on a 64 by 128 latitude-longitude global Gaussian grid with T42 spectral truncation. The historical simulation for 1979-2014 as well as the four Tier 1 Shared Socioeconomic Pathways (SSPs) prioritized by the Intergovernmental Panel on Climate Change (IPCC) and Scenario Model Intercomparison Project (ScenarioMIP) (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) and SSP1-1.9 (due to its relevance for the Paris Agreement) for 2015-2100 are available for each GCM (O'Neill et al., 2016). Two reanalysis dataset options are available for the historical period 1979-2014 (ECMWF ERA5 and NCEP-DOE Reanalysis 2).



GCMs chosen for inclusion into the CMIP6 predictors dataset was determined by three factors. Firstly, the equilibrium climate sensitivity (ECS) must have been calculated according to the Gregory methodology and the selected GCMs must cover a range of ECS values (see sections 1.1. and 1.2.). Secondly, the GCM must have run the historical simulation and as many of the five SSPs as possible (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Thirdly, for the relevant simulations, the seven base variables at all three included pressure levels (if applicable) must be available for download on Earth System Grid Federation (ESGF) website ( https://esgf-node.llnl.gov/search/cmip6/).

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Metadata Record Information

File Identifier
d68d71e6-f9d5-49dd-88cc-53fcffb75791 XML
Date Stamp
2022-03-02T20:41:43
Metadata language

eng; CAN
Character set
UTF8
Hierarchy Level
Dataset
Editor
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)

Canada
 

Data identification

Title

The ensemble of CMIP6 daily predictor variables for statistical downscaling
Date (Creation)
2021-05-31
Date (Publication)
2021-12-16
Status
On going
Metadata language

eng; CAN
Character set
utf8
Topic category
  • Climatology, meteorology, atmosphere
Maintenance and Update Frequency
Irregular
Spatial representation type
Grid
Point of contact
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)

Keywords

Government of Canada Core Subject Thesaurus

  • Climate

  • Climate change

  • Models

  • Statistical analysis

  • Standardization

Environment Canada - Program

  • 2.1.3. Climate Information, Predictions and Tools

Environment Canada - Departamental Result Framework

  • Predicting Weather and Environmental Conditions

Environment Canada - GC Security Classification

  • Unclassified

GC Open License

Geography

  • International

Business Functions

  • Provide Climate Information Products and Services

  • Deliver Climate Products and Services to Clients

Branch

  • Science and Technology Branch

Directorate

  • Atmospheric Science and Technology

ECCC Government Titles EN

  • Environment and Climate Change Canada

ECCC Resource Formats EN

  • CSV

  • ZIP

  • TXT
 
Use Limitation

Open Government Licence - Canada ( http://open.canada.ca/en/open-government-licence-canada)

Access Constraints
License
Use Constraints
License
Begin Date
1979-01-01
End Date
2100-12-31

Extent

N
S
E
W
thumbnail




 
 

Ref. system Reference Systems

Reference system identifier
http://www.epsg-registry.org / EPSG:4326 /
 

Distribution

Distribution Formats

Distribution format
  • ZIP ( unknown)

 
Distributor
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)

 
 

Overviews

N
S
E
W
thumbnail




Keywords

Branch

Science and Technology Branch
Business Functions

Deliver Climate Products and Services to Clients Provide Climate Information Products and Services
Directorate

Atmospheric Science and Technology
ECCC Government Titles EN

Environment and Climate Change Canada
ECCC Resource Formats EN

CSV TXT ZIP
Environment Canada - Departamental Result Framework

Predicting Weather and Environmental Conditions
Environment Canada - GC Security Classification

Unclassified
Environment Canada - Program

2.1.3. Climate Information, Predictions and Tools
GC Open License

Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada)
Government of Canada Core Subject Thesaurus

Climate Climate change Models Standardization Statistical analysis


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