Enhancing Engagement of Citizen Scientists to Monitor Precipitation Phase
نویسندگان
چکیده
Recent literature has highlighted how citizen science approaches can engage volunteers, expand scientific literacy, and accomplish targeted research objectives. However, there is limited information on specific recruitment, retention, engagement strategies enhance outcomes. To help fill this important gap, we detail the use of various to scientists in collection precipitation phase data (rain, snow, or mixed). In our study region, Sierra Nevada Central Basin Range California near Lake Tahoe, a marked amount annual falls freezing. At these air temperatures, weather forecasts, land surface models, satellites all have difficulty correctly predicting observing phase, making visual observations most accurate approach. From January May 2020, submitted timestamped, geotagged through Citizen Science Tahoe mobile phone application. Our recruitment strategy included messaging winter, weather, outdoor enthusiasts combined with amplification regional groups, which resulted over 199 1,003 ground-based rain, mixed precipitation. We enhanced retention by targeting storms region text message alerts that also allowed for questions, clarifications, training opportunities. saw high rate (88%) increase number following alerts. For quality control data, meteorological datasets compared observations. found 96.5% passed protocol, enabled us evaluate rain-snow partitioning patterns. Snow was dominant form at temperatures below slightly above freezing, both ecoregions expressing 50% temperature threshold 4.2°C, warmer value than what would be incorporated into models. Thus, lower areas produce inaccuracies event-based proportions. Overall, rate, quality, analysis were supported strategy, communication, simplicity survey design. suggest other projects may follow detailed herein achieve their
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ژورنال
عنوان ژورنال: Frontiers in Earth Science
سال: 2021
ISSN: ['2296-6463']
DOI: https://doi.org/10.3389/feart.2021.617594