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update to research interests
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cerodell committed Mar 22, 2024
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layout: list # Type of content section (list/text)
content:
- layout: top-middle
title: University of British Columbia Vancouver
caption: 2019 - Present <br> <b><i>David Bates Scholarship 2019 <br> W.H. Mathews Scholarship 2020 <br> 7th International Fire Behavior and Fuels Conference Scholarship 2024 </i></b>
- title: University of British Columbia Vancouver
sub_title: Ph.D. Atmospheric Sciences
# quote: >
# - David Bates Scholarship 2019 <br>
# - W.H. Mathews Scholarship 2020
# description: | # this will include new lines to allow paragraphs
# Research Assistant in the Department of Earth, Ocean and Atmospheric Sciences
caption: 2019 - Present
description: >
- David Bates Scholarship 2019
- W.H. Mathews Scholarship 2020
- 7th International Fire Behavior and Fuels Conference Scholarship 2024
- layout: top-middle
title: University of Colorado Boulder
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sub_title: Certificate in Weather Forecasting
# quote: >
# description: | # this will include new lines to allow paragraphs



- title: Research Experience # Title for the section
layout: list # Type of content section (list/text)
content:
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sub_title: Graduate Research Assistant
caption: 2019 - Present
# quote: >
description: | # this will include new lines to allow paragraphs
-
<ul>
<li>Developing a Numerical Weather Prediction derived Fire Weather Forecast Model to assess the moisture content within varied layers of the forest fuels (vegetation) for daily use by operational wildland firefighters.
<ul>
<li>This hourly forest fuel moisture forecast is being integrated into a fire growth and fuel emissions model to aid in smoke forecast predictions in the Bluesky Canada smoke forecast system.</li>
<li>A webpage was created for displaying the Fire Weather Forecast products, associated meteorology, and current wildfire locations on a zoomable map with popup point forecast functionality. Visit <a href="https://firesmoke.ca/forecasts/fireweather/">Fire Weather Forecast</a> for more information.</li>
</ul>
</li>
<li>Constructed low-cost, in situ instruments to observe and profile the vertical concentration of PM2.5 in wildfire smoke plumes. These disposable Particulate Matter Sensors, calibrated against an industry-standard GRIMM OPC, provide a low-cost way to collect data to better understand wildfire smoke dynamics and forecasting. The sensors, built with off-the-shelf components, cost approximately $100 to build. Visit <a href="https://cerodell.github.io/fire_sensors/">Fire Sensors</a> for more information.</li>
<li>Co-creator and Instructor (with Dr. Stull) of a new fourth-year Synoptic Fire Weather Forecasting Course, which includes the following topics:
<ul>
<li>Analyze and interpret weather-observation data,</li>
<li>Interpret numerical weather prediction models,</li>
<li>Apply meteorological principles to fire behavior,</li>
<li>Compare alternative fire spread/danger outcomes given weather forecast uncertainty,</li>
<li>Develop fire response plan of the day materials (as if they were professional fire-weather forecasters).</li>
</ul>
</li>
<li>Each Friday, a graduate or fourth-year undergraduate student in the Atmospheric Science Department is required to do a weekend weather forecast. I am considered the Graduate Student Subject Matter Expert and assist the student in developing their one-hour forecast.</li>
<li>Teacher Assistant for Dr. Stull's Weather Instruments Course</li>
<li>Assist with developing grant proposals that fund various research projects within the department.</li>
</ul>

<ul>
<li><strong>Notable Coursework</strong></li>
<ul>
<li>Data Analysis in Atmospheric, Earth, and Ocean Sciences</li>
<li>Boundary-Layer Meteorology</li>
<li>Numerical Weather Prediction (NWP)</li>
<li>Numerical Techniques for Ocean, Atmosphere, and Earth Scientists</li>
</ul>
</ul>
description: |
- Developing a Numerical Weather Prediction derived Fire Weather Forecast Model to assess the moisture content within varied layers of the forest fuels (vegetation) for daily use by operational wildland firefighters.
- This hourly forest fuel moisture forecast is being integrated into a fire growth and fuel emissions model to aid in smoke forecast predictions in the Bluesky Canada smoke forecast system.
- A webpage was created for displaying the Fire Weather Forecast products, associated meteorology, and current wildfire locations on a zoomable map with popup point forecast functionality. For more information, visit the Fire Weather Forecast website.
- Constructed low-cost, in situ instruments to observe and profile the vertical concentration of PM2.5 in wildfire smoke plumes. These disposable Particulate Matter Sensors, calibrated against an industry-standard GRIMM OPC, provide a low-cost way to collect data to better understand wildfire smoke dynamics and forecasting. The sensors, built with off-the-shelf components, cost approximately $100 to build. For more information, visit the Fire Sensors website.
- Co-creator and Instructor (with Dr. Stull) of a new fourth-year Synoptic Fire Weather Forecasting Course, which includes the following topics:
- Analyze and interpret weather-observation data,
- Interpret numerical weather prediction models,
- Apply meteorological principles to fire behavior,
- Compare alternative fire spread/danger outcomes given weather forecast uncertainty,
- Develop fire response plan of the day materials (as if they were professional fire-weather forecasters).
- Each Friday, a graduate or fourth-year undergraduate student in the Atmospheric Science Department is required to do a weekend weather forecast. I am considered the Graduate Student Subject Matter Expert and assist the student in developing their one-hour forecast.
- Teacher Assistant for Dr. Stull's Weather Instruments Course
- Assist with developing grant proposals that fund various research projects within the department.
- Notable Coursework:
- Data Analysis in Atmospheric, Earth, and Ocean Sciences
- Boundary-Layer Meteorology
- Numerical Weather Prediction (NWP)
- Numerical Techniques for Ocean, Atmosphere, and Earth Scientists
- layout: left
title: University of Colorado
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