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Heating degree day spatial datasets for Canada.

Heather MacDonald1, John Pedlar1, Daniel W McKenney1

  • 1Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, P6A 2E5 1219 Queen Street East, Sault Ste. Marie, Ontario, Canada.

Data in Brief
|August 14, 2023
PubMed
Summary
This summary is machine-generated.

This study provides spatial datasets of heating degree days (HDD) for Canada, crucial for understanding climate change impacts on energy demand. These datasets cover two 30-year periods, offering valuable insights for energy policy and climate adaptation strategies.

Keywords:
ANUSPLINCanadaClimateGridsHDDHeating degree daysHistoricalRasterSpatial datasetsTemperatureThin plate spline

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Area of Science:

  • Climatology
  • Environmental Science
  • Energy Studies

Background:

  • Heating degree days (HDD) are vital for assessing heating energy needs and climate change impacts.
  • Accurate spatial data on HDD is essential for informed decision-making in energy and climate policy.
  • Previous datasets may lack the resolution or temporal coverage required for current climate change assessments.

Purpose of the Study:

  • To present novel spatial datasets of heating degree days (HDD) for Canada.
  • To provide data for two distinct 30-year periods (1951-1980 and 1981-2010) to analyze climate trends.
  • To support research on the impact of climate change on heating energy demand.

Main Methods:

  • Utilized daily temperature gauge observations from numerous Canadian stations.
  • Applied spatial modeling techniques to generate gridded HDD datasets.
  • Included stations meeting specific data completeness criteria (≤9 missing days/year, >9 years of data).

Main Results:

  • Generated spatial datasets of HDD for Canada at approximately 2 km resolution.
  • Data available for two 30-year periods: 1951-1980 (1339 stations) and 1981-2010 (1679 stations).
  • Mean absolute errors of spatial models were 124.2 C-days (2.4%) for 1951-1980 and 137.6 C-days (2.7%) for 1981-2010.

Conclusions:

  • The presented HDD datasets offer a valuable resource for climate change impact studies in Canada.
  • The data facilitates understanding of regional variations in heating energy requirements.
  • These high-resolution spatial datasets can inform energy efficiency measures and climate adaptation planning.