Ed LaChapelle originally proposed "data classes" as a way for practitioners to organize their observations related to the presence of instability and the likelihood of avalanche release. The higher the number, the less directly correlated to an avalanche event. Put another way, we aim to categorize their "relevance and ease of interpretation (that is, their effects on human perception)" (McClung 2022).
During the PRO 2 you will be tasked with documenting and interpreting the various classes of data gathered during your morning hazard assessment, while taking field observations, and during daily debriefs.
Class 3 Data is related to weather variables that impact avalanche formation and release. Examples include:
Wind speed/direction
Precipitation type/rate
Temperature current/trend
Solar radiation
.
Class 2 Data is related to physical variables that influence the layering of the snowpack. Examples include:
Grain type
Hardness (resistance)
Height of new snow
Water content and density of layers
Slab thickness
Weak layer thickness
Class 1 Data is related to direct signs of instability and corresponding avalanche activity. Examples include:
current avalanches
fracture propagation in tests
cracking
collapsing and whumphing
Photo: Sean Zimmerman-Wall
Most avalanche forecasting operations choose to maintain a snow study plot. Intermittently, snow must be cleared from the plot to ensure proper recording, despite the available remote control options that exist today. Since there must be access to the study plot after snowfall, site selection is very important for an operation to consider. Site safety is paramount. Locations where data is acquired have been hit by avalanches and workers have to consider their exposure en route to a study plot just as much as its physical location. A site that is representative of the forecast area and sheltered from the wind is an additional consideration, while convenient site access is a close third. According to SWAG, a cleared, level site 10 meters by 7 meters is ideal. Consider signage or rope barriers to keep unwanted disturbance of the site to a minimum.
Reference Appendix D in SWAG for more details about proper site selection. This will also be reviewed on course by the instructor team at the plot that will be used for daily observations. Typical recordings made at a manual study plot are detailed below.
Since snow study plots may factor heavily into operational decision making, adequate time should be spent getting to know the site and it’s instrumentation. Each day the team member responsible for gathering observations should ensure it is in working condition and ready for the next day’s observations. If an operational area is large enough to see significant variations in snowfall, multiple sites may be helpful. When that's not possible, this means that decisions are made from a small percentage of the forecast area. Forecasters may have to correlate field observations to station observations to make informed estimates, with lower accuracy than if they had access to measured data. With time, the relationship between the study plot and the far reaches of the forecast area is better understood. Nonetheless, the small area sample of a snow study plot is a limitation. To supplement manual study plots, at least one remote wind weather station for the forecast area is helpful.
Photos: Sean Zimmerman-Wall
Remote weather stations for winter operations are very helpful and at times may be the only consistent data gathered by an operation. These remote weather stations should be positioned in locations that provide crucial data for the forecast area. They should also be positioned so that they will hopefully only need minimal maintenance through the winter. Solar panels and antennas should not be so low as to get buried by snow or so high that they act as a wind sail. Solar panels need to see several hours of sunlight in mid winter.
Dispersed snow weather stations throughout the forecast area collecting height of snow, air temperature, and relative humidity can be very useful when determining where hazard may exist. Unlike weather stations collecting the height of snow, wind weather stations need to be placed in windy areas. Commonly, they are located along ridgelines or peaks so that they measure wind speeds with as little local terrain influence as possible. Wind stations can also be located low in the terrain to gather targeted data for helicopter landing zones, forecasting loading patterns in specific paths, or commonly used terrain. Wind weather stations generally collect wind speed and direction, wind gusts, air temperature and relative humidity at a minimum.
Reference Appendix E in SWAG for more details about combining manual and automated data. This will also be reviewed on course by the instructor team when referencing the stations that will be used for daily observations. Typical recordings made at remote wind and snow study plots are detailed below.
Since wind factors heavily into operational decision-making, one or more well-placed wind weather stations are invaluable. Wind stations placed exclusively at ridgelines are limited in that they only highlight the conditions in the areas at similar elevations throughout the forecast area. Wind-affected snow at different elevations and far removed from nearby wind weather stations is a possibility and should never be ruled out of the forecasting process. Over time an operation will be able to better correlate the information gathered at remote stations to individual starting zones. It is critical to question anomalies noted on any station and field verification is always recommeded.
Photos: Sean Zimmerman-Wall
Field observations for winter operations are expected from avalanche workers. When a forecast area is very large, it is possible that areas are only visited a handful of times each season. The intermittent data gathered can highlight anomalies not observable from the operation’s normal weather stations and serve to supplement that data foundation . For this reason, reliable and repeatable field observations are important.
Field observations are limited in that they are only observed for a small time period. Areas that are frequently visited by the operation may benefit from more routine field observations. Difficult to reach locations in the forecast area may go several years between field observations.
Typical recordings made during a field observation are detailed below
The following exercise will ask you to evaluate several day's worth of data from a manual study plot and remote weather station.
Download the Storm Profile Exercise word document and fill in the table based on the information and instructions.
Compare your answers with the online key when you are finsihed. This exercise incorporates elements that will be examined during the PRO 2 course.