I know some of these statistics are out there on the internet, but searching for them takes time (even in a world with LLMs), so compiling them here.

Snow Depth Statistics

Only average snow depth is available online, but averages obscure variation.

Snow depth (cm)
Winter months shaded (Dec-Mar)

Temperature Anomaly Statistics

Temperature anomaly plots are not easily accessible online, so this puts them in a single place 1.

Year
Temperature anomaly (°C)
Colder Warmer
Period of analysis:

Dew Point Anomaly Statistics

Dew point temperature measures atmospheric moisture content and follows a clean seasonal cycle 2.

Year
Dew point anomaly (°C)
Drier More humid
Period of analysis:

Precipitation Anomaly Statistics

Precipitation anomaly plots are also not easily accessible online, so this puts them in a single place 3.

Year
Precipitation anomaly (mm)
Drier Wetter
Period of analysis:

Wind Anomaly Statistics

Wind anomaly plots are built from hourly wind speeds, using rolling sums of cube-root daily mean anomalies 4.

Year
7-day cumulative log anomaly (cbrt wind speed)
Calmer Windier
Period of analysis:

Footnotes

  1. A periodic LOESS smoother is fit to daily mean temperature climatology over 50 years. ↩

  2. A periodic LOESS smoother is fit to daily mean dew point temperature derived from hourly observations. ↩

  3. In this case, we favour comparing N-day sums against the climatological average of N-day sums. ↩

  4. Daily mean wind speeds are compared to a day-of-year climatology after a cube-root transform and summed over rolling windows.

    Wind speed distribution before and after cube-root transform ↩