To help understand how snowpack is changing and how it affects water supplies, scientists rely on a combination of field observations, satellite data, and computer modeling. However, there are still many gaps in our knowledge, especially when it comes to understanding the role that trees play in snowmelt processes.
Trees can have a significant impact on snowpack by intercepting and storing snowfall, shading the snow from the sun, and releasing liquid water through their branches. But the exact nature of these interactions is complex and varies depending on the species of tree, the density of the forest, and the local climate.
Citizen scientists can help fill these knowledge gaps by collecting data on snowpack and tree cover in their local areas. This data can be used to validate satellite data and computer models, and to identify areas where snowpack is most vulnerable to the effects of climate change.
One way to collect data on snowpack is to measure the snow depth in different locations under trees and in open areas. This can be done using a simple ruler or snow stick, and the data can be recorded in a field notebook or uploaded to a citizen science app.
Another way to collect data on tree cover is to identify the different species of trees in a given area and estimate their density. This can be done by walking through the forest and recording the species and diameter of each tree.
Citizen scientists can also help collect data on snowmelt rates by measuring the amount of water that flows out of a stream or river over time. This can be done by constructing a simple weir or flume, and the data can be recorded in a field notebook or uploaded to a citizen science app.
By collecting data on snowpack, tree cover, and snowmelt rates, citizen scientists can help scientists better understand the role that trees play in snowmelt processes and how climate change is affecting water supplies in the western United States.
