2021 Presentations

SIParCS & NESSI presentations

These presentations are by SIParCS interns and by students who participated in the 2021 NCAR Earth System Science Internship (NESSI) program.

Expanding and Strengthening the Transition from NCL to Python Visualizations
Jiaqi Li, Middlebury College, SIParCS

Expanding and Strengthening the Transition from NCL to Python Visualizations
Erin Lincoln, Brown University, SIParCS

Climatology Calculation Support in the GeoCAT Ecosystem
Heather R. Craker, Purdue University, SIParCS

Please Stop and Smell the Tracers: Predicting Tracer Concentration Behaviors in Low-Order Models with Data Assimilation
Fairuz Ishraque, Colgate University, SIParCS

Pi-WRF 3.0; Incorporating Jupyter Notebook
Reid Olson, University of Wyoming, SIParCS

Evaluation of DataSpaces in Heterogeneous In-situ workflow for GPU-MURaM at Exascale
Bo Zhang, Rutgers University, SIParCS

Porting IDL programs into Python for GPU-Accelerated In-situ Analysis
Damir Pulatov, University of Wyoming, NESSI

Harvester Automation for Metadata Search Web Application: Methodologies
Terry Yuan, Villanova University, SIParCS

Harvester Automation for Metadata Search Web Application: Technologies
Sama Manalai, Berea College, SIParCS

Lowering the Cost of Climate Research: Energy Consumption vs Clock Speed for Various Application Profiles
Spencer Diamond, Arizona State University, SIParCS

Easier, Better, Faster, Shorter: Updates to Grid-Aware Analysis with xgcm
Dianne Deauna, University of Hawai’i at Mānoa, SIParCS

Performance Portability of Shallow Water Model with DPC++
Leila Ghaffari, University of Colorado Boulder, SIParCS

Performance Portability of Shallow Water Model with Kokkos
Zephaniah Connell, University of Wyoming, SIParCS

Machine Learning Data Commons Web Portal
Omar Chaarawi, University of Colorado Boulder, SIParCS

Fake it till you make it - Zarr-like access of existing netCDF4 datasets
Lucas Sterzinger, University of California, Davis, SIParCS

Designing Machine Learning Models to Conserve the RDA's Computing Resources
Jordan DuBeau, University of Colorado Boulder, SIParCS

Employing Machine Learning Models for CESM Timing Data
Thomas Johnson III, North Carolina Agricultural and Technical State University (NC A&T), SIParCS

Fostering SJ Conversations: Centering Growth and Learning
Max Cordes Galbraith, University of Vermont, SIParCS

Understanding Atmospheric Rivers in a Future, Warmer Climate
Alexander Massa, Millersville University, NESSI10:30

Explainable AI for Short-term Lightning Prediction
Prahalath Anbu Bharathi, Tufts University, NESSI

Comparing the Climates of Mars and Earth
Camille Cowan, Brigham Young University, NESSI

Improvements to HiWIND Code & Immersive Visualization of the Solar Corona
Milana Wolff, University of Wyoming, NESSI

Development of the MusicBox user Interface
Simon Thomas, Bowdoin College, ACOM

MusicBox in the Curriculum
Joana Olsen, University of Wyoming, NESSI