Published February 9, 2022 | Version 1
Dataset Open

Snow Spotter Canopy-Snow Interception Dataset #1

  • 1. University of Washington, Seattle, WA, US
  • 2. NOAA Earth System Research Laboratory, Boulder, CO, US


This dataset was used in a manuscript titled "Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists" submitted to AGU WRR by the corresponding first-author, Cassie A. Lumbrazo ( 
An excerpt from the manuscript is provided below. Please see the published manuscript for the full dataset summary and the dataset ReadMe file for information on the dataset structure. 

Time-lapse images from high-resolution digital cameras were collected from the PhenoCam Network (Milliman et al., 2018), the 2017 NASA SnowEx Field Campaign (Currier et al., 2019; Kim et al., 2017), and the Olympic Mountain Experiment (OLYMPEX) ground validation campaign (Currier et al., 2017; Houze et al., 2017; Lundquist et al., 2018). These images were then uploaded to a citizen science platform called Zooniverse ( and classified by thousands of volunteers as part of the Snow Spotter project.  

The goal of Snow Spotter was to mobilize citizen scientists to collect information about canopy interception. A total of 6,700 volunteer citizen scientists responded to questions about 13,600 images from sites across the United States to create this first canopy-snow interception Snow Spotter dataset. 



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