Climate Data
Website: https://climatedata.ca/
1.0 Record Formats
The Canadian climatological data records are archived at various time intervals:
Daily Record of Hourly Data (HLY)
Monthly Record of Daily Data (DLY)
Annual Record of Monthly Data (MLY)
Daily Record of 15-Minute Data (FIF)
Hourly Record of Minutely Data (MIN)
2.0 Data Field Descriptions
Climate Identifier (Unique station number)
Element Number (Measurement type such as temperature, wind, precipitation)
Data Value Field (Recorded values)
Day Flag (Metadata about the data, indicating missing values, trace amounts, or estimation)
3.0 Archive Files
Climatological data is stored in different formats:
Hourly Weather Data (HLY01)
Rate of Rainfall (HLY03, DLY03)
Daily Climatological Data (DLY02, DLY04)
Monthly Climatological Data (MLY04)
Solar Radiation (HLY11, MIN11)
Soil Temperature (DLY12, HLY12)
Wind Data (HLY15)
Precipitation (Fischer/Porter) Data (FIF21, HLY21, DLY21)
4.0 Upper Air Data (UAS/UAW)
Includes atmospheric data collected at different altitudes:
Pressure
Altitude
Temperature
Wind Speed and Direction
5.0 Table of Flags
Flags indicate data validity and quality control:
Blank: Valid data
M: Missing data
T: Trace amounts detected
E: Estimated values
H: Freezing conditions
6.0 Notes
Changes in climatological day definitions
Time zone adjustments for data reporting
Instrument details used for measurements
7.0 Document Versions
The document includes historical versions of data collection formats.
Most recent update: January 16, 2023.
Examples of Data Records
Hourly Data Example (HLY)
Positions 1-7: Climate Station ID
Positions 8-11: Year
Positions 12-13: Month
Positions 14-15: Day
Positions 16-18: Element Number (e.g., Temperature, Rainfall)
Positions 19-24: Data Value (e.g., 0.3 mm of Rainfall)
Positions 25: Flag (if any)
Monthly Data Example (MLY)
Monthly total snowfall: 11.2 cm
Temperature values are presented in Celsius
Precipitation values measured in mm
Applications of the Data
This dataset is critical for:
Climate Research & Analysis
Identifying trends in temperature, precipitation, and extreme events.
Forecasting & AI Models
Training AI models for heatwave prediction.
Water Resource Management
Hydroclimate monitoring for reservoirs and drought analysis.
Disaster Resilience & Urban Planning
City infrastructure planning for extreme climate adaptation.
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