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 Social Justice Coversations: 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