Normals are the baseline: the long-term average seasonal cycle for each variable, smoothed across decades. They’re what you compare against when you want to know whether a given day or month is unusual.

Temperature and Moisture

Air temperature, humidity, and cloud normals define the core background state that most anomaly views are measured against.

Temperature (°C)
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Maximum temperature (°C)
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Minimum temperature (°C)
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Diurnal temperature range (°C)
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Dew point (°C)
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Relative humidity (%)
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Cloud cover fraction
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Degree Days

Degree-day normals turn temperature into accumulated load: biological growth, heating demand, and cooling demand.

Growing degree days (°C·d)
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Heating degree days (°C·d)
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Cooling degree days (°C·d)
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Precipitation and Snow

Total moisture is useful, but separating rain, snow, and snowpack makes the seasonal structure much clearer.

Phase and Total

Precipitation (mm)
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Rainfall (mm)
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Snowfall (cm)
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Snowpack and Melt

Snow depth depends on accumulation, compaction, and thaw, so the snowpack views are grouped separately from simple snowfall totals.

Snow depth (cm)
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Snow depth (cm)
Avg min–max range Mean Median
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Melting days (days)
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Melt intensity (°C·d)
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Ocean

Sea-surface temperature changes more slowly than air temperature, so the annual cycle peaks later and smooths out short-lived weather noise.

Sea surface temperature (°C)
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Sea surface temperature NRT (°C)
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Inland Water Levels

Water-level data is station-specific and monthly rather than daily, but it still fits here better than on a separate page because it is fundamentally a baseline climatology view.

Water level (m)
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Wind and Atmospheric Conditions

Wind, pressure, and visibility capture the broader background state of the atmosphere rather than just heat or moisture.

Wind speed (km/h)
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U-component wind (km/h)
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V-component wind (km/h)
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Wind gust speed (km/h)
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Pressure (kPa)
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Visibility (km)
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