2023 Presentations

Students in CISL’s SIParCS internship program will make their oral presentations on Tuesday, August 1 and Wednesday, August 2 in the Main Seminar Room of the NCAR Mesa Lab in Boulder. Anyone interested – including students’ family, friends, and others – can attend in person or via live webcast. Presentations are scheduled from 8:40 to 11:50 a.m. MDT on both days. The presentations will be recorded and published for those who cannot attend. Attendees will be able to submit questions via Slido.

A group of students stand on a wide stairway.

Tuesday, August 1 (MDT)

8:40 a.m. - Introduction by Virginia Do, CISL

8:50 a.m. - “Leveraging Wave and Spatial Context Data to Improve HOLODEC Segmentation Model Performance,” Hayden Outlaw, Tulane University

9:10 a.m. - “MARBL-DART: An Ensemble System for Biogeochemical Data Assimilation,” Robin Armstrong, Cornell University

9:30 a.m. - “CI/CD for ASAP Applications: Using Github Actions for Rapid Development,” Haniye Kashgarani, University of Wyoming

9:50 a.m. - 10-minute break

10:00 a.m. - “Containerization of simulation applications for frequently re-run configurations,” Si Chen, Emory University

10:20 a.m. - “GPU Enablement of MICM Chemistry Solver,” Qina Tan, Colorado School of Mines

10:40 a.m. - “Opening my Science: A Jupyter Book on Analyzing Sea Level Variability with Xarray,” Yuta Norden, University of Hawaiʻi at Mānoa

11:00 a.m. - 10-minute break

11:10 a.m. - “Interactive Visualization of Ensemble Data Assimilation Forecasts for Hydrology Models,” Ameya Patil, University of Washington

11:30 a.m. - “An interactive website to support the co-design process,” Anupriya Dixit, Berea College

Wednesday, August 2 (MDT)

8:40 a.m. - Introduction by Virginia Do, CISL

8:50 a.m. - “Modernizing a Bias Correction Code,” Kenton Wu, University of Texas at Austin

9:10 a.m. - “Python Data Analysis and Visualization for Unstructured Grids Data,” Ian Franda, University of Wisconsin, Madison

9:30 a.m. - “Interactive visualization of climate data,” Pritam Das, University of Washington

9:50 a.m. - 10-minute break

10:00 a.m. - “Peeking Inside the Black Box: Explainable AI Methods for a Precipitation-type Model,” Belen Saavedra, Berea College

10:20 a.m. - “Machine Learning Models with Uncertainty Quantification for Precipitation Type Prediction,” Dhamma Kimpara, University of Colorado, Boulder

10:40 a.m. - “OpenIoTwx: Improving the accessibility of open source weather sensing and data,” Reuben Alter, Colorado College

11:00 a.m. - 10-minute break

11:10 a.m. - “Exploring the Feasibility of Indexing Campaign Store in Elasticsearch,” Emily Mc Nett, University of Wisconsin, Stout

11:30 a.m. - “So what do you do: Highlighting the connections and benefits of Human Science in a scientifically dominant field,” Julius Owusu Afriyie, University of Nebraska - Lincoln