Mountain climate science co-created by citizen and professional scientists
Our mission is to inclusively and openly answer climate questions about Mount Baker relevant to local and regional communities.
This is a collaborative project in which citizen scientists and professional scientists co-create understanding about the climate of Mount Baker using a combination of in situ and satelitte measurements. We ask provide data and ask questions relevant to the hydrologic health and welfare of this important environmental system.
The MBCL is a result of ongoing partnerships between several organizations (Table 1). Its foundation comes from ongoing measurements of temperature at nine sites along the southern ascent of Mount Baker. These temperature measurements are made in distributed arrays from which we can derive much more than simply an understanding of local temperature patterns and trends. The arrays of temperature
Institution | Role |
---|---|
Adventure Data | In situ snow measurements |
Earth and Space Research | Lead institution, data analysis, citizen scientist education |
Lakeside School | In situ temperature measurement deployment and collection |
Click here for a list of our contributors.
There is a lot that goes into deploying, collecting, cleaning, and munging the data for analysis. See here for a description of this process, along with links to figures and code.
Take a look at the interactive data we have curated so far. Inspired? Read on!
Some initial analysis has been performed on these data already. See below for examples of co-creation between Citizen Scientists and Professional Scientists.
Noah L. (Citizen Scientist) led a short study successfully retrieving snow depth at Schriebers Meadow from temperature data collected on a 2.5 m snag. See his work here.
Building on a series of other Citizen Scientist work (Tanvi G., Kimberly L.), Zara Z. (Citizen Scientist) developed an extended time series of snow extent on the southern side of Mount Baker as a function of elevation. See her work here.
Linked here is a presentation summarizing the MBCL as of April 2022. Included in this presentation are some motivation, design, and early results including snow extent retrievals and an extension of the Schriebers Meadow time series using routine regional data trained on a supervised machine learning OLS model. Citizen Scientists: Tanvi A., Tea F-S, Tanvi G., Kimberly L.
Linked here is a presentation summarizing the MBCL as of December 2023. Included in this presentation are the design, partnerships, and updated results. The update results include improved snow extent and snow depth retrievals, as well as a summary of the extension of the Schriebers Meadow time series using routine regional data trained on a supervised machine learning OLS model. Citizen Scientists: Tanvi A., Tanvi G., Noah L., Zara Z.
Felicity W (Citizen Scientist) has processed data from Schriebers Meadow to understand whether and for how long local flora are exposed to temperatures beyond their temperature established stress thresholds. See here for more.
If you are interested in contributing or have any questions, please reach out to michael.town@esr.org.
We respectfully acknowledge that we learn, live, reflect, teach, and observe on the ancestral homelands of Tribes, Bands, and First Nations, including Coast Salish, Lower Skagit, and Upper Skagit.
We would like to express respect and gratitude for our Indigenous neighbors for their care and protection of our shared lands and waterways and celebrate the resilience and strength that Indigenous peoples have shown and continue to show.
To acknowledge this land we share, study, and value is to critically reflect on a history that includes disease, displacement, violence, and loss of land, and to recognize our place in that history. We offer this acknowledgement as an important step in honoring the relationship with land we share, and a call towards further learning and action.
This work has received generous support from Ballard Data Science, The Douchas-Nolan Fund through the San Diego Foundation, and Earth and Space Research
If you would like to donate, please click here