Difference between revisions of "User:Edoyle"
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• Met with Dr. Puri on Teams to discuss next weeks work | • Met with Dr. Puri on Teams to discuss next weeks work | ||
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| + | '''Week 4''' | ||
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| + | • Read research papers finding various ways sea ice thickness has been modeled before | ||
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| + | • Found some code on GitHub of a previous modeling of sea ice thickness prediction algorithm | ||
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| + | • Read about various models that are used for predicting sea ice thickness | ||
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| + | • Looked at University of Washington’s Hackweek machine learning algorithm they used for modeling ATL03 data | ||
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| + | • Emailed Dr. Puri to follow up on next steps | ||
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| + | • Read “Feasibility of Burned Area Mapping Based on ICESat-2 Photon Counting Data” | ||
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| + | • Preprocessed the data to prepare | ||
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| + | • Built a Gaussian and K-fold model for the data | ||
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| + | • Met with Dr. Puri on teams | ||
Revision as of 18:51, 2 July 2020
About Me
My name is Erin Doyle and I am a rising senior at St. Mary's College majoring in Mathematics. I am working with Dr. Puri on analyzing ICESat-2 data to look at sea ice melting specifically in the Arctic.
Work Log
Week 1
• REU Orientation
• Mini Data Science Bootcamp
• Met with Dr. Puri to discuss project specifics
• Good research practices and recording work logs talk from Dr. Brylow
• Read various articles and videos about my specific project from Dr. Puri
• Wrote about my research goals and milestones
Week 2
• Developed more specific research questions
• Attended RCR training from Dr. Brylow
• Finished the CITI modules
• Read research papers
• Attended technical writing meeting
• Researched parameters used in the data and their meaning
• Looked and previous code samples and downloaded some data to begin working with
• Met with Dr. Puri on teams to discuss project
Week 3
• Used GitHub resources and started building a code to classify leads vs. Solid sea ice
• Created my Wiki page and updated profile
• Downloaded test data from NSIDC to use in my code
• Attended student check in
• Meet with Dr. Puri to discuss project and steps to go forward
• Download HDF5 viewer to look into data more
• Signed up for XSEDE user portal
• Read ATL03 NSIDC data algorithm paper
• Looked at XSEDE portal
• Met with Dr. Puri on Teams to discuss next weeks work
Week 4
• Read research papers finding various ways sea ice thickness has been modeled before
• Found some code on GitHub of a previous modeling of sea ice thickness prediction algorithm
• Read about various models that are used for predicting sea ice thickness
• Looked at University of Washington’s Hackweek machine learning algorithm they used for modeling ATL03 data
• Emailed Dr. Puri to follow up on next steps
• Read “Feasibility of Burned Area Mapping Based on ICESat-2 Photon Counting Data”
• Preprocessed the data to prepare
• Built a Gaussian and K-fold model for the data
• Met with Dr. Puri on teams
