SIParCS 2023 - Pritam Das
Pritam Das, University of Washington
Interactive Visualizations of Climate Data
Effective visualizations of climate model outputs and climate data can help communicate climate change issues to the general public. Furthermore, advanced and interactive visualizations enable climate scientists to detect patterns, time-evolving features, and trends in complex datasets and model outputs that might not be obvious from looking at the raw data alone. In this project, we are going to create a user-friendly dashboard for reading large climate data and visualizing these datasets. Next, we are going to host this application on a commercial platform and study the performance of Xarray/Dask for reading large volumes of climate datasets on different architectures. These data visualization dashboards will be used to communicate scientific findings to domain experts, policy makers, and the general public. Over the summer, the student will have opportunities to: (1) Collaborate with a team of research scientists, data scientists, and software developers to produce publicly accessible interactive dashboards that leverage Xarray/Dask, the scientific Python stack, and interactive visualization libraries such as Bokeh and Holoviews for visualization and analysis of climate data. (2) Learn about and contribute to open-source geoscientific Python projects and open source tools. (3) Gain experience to effectively access and read large datasets on commercial platforms. (4) Gain hands-on experience with version control software for collaborative software development via Git and GitHub. (5) Investigate the performance of GPU-native analytics with Xarray.
Mentors: Negin Sobhani, Deepak Cherian (CGD)
Slides and poster