Polar Science Series

iHARP’s 1st Technical Workshop Series focusing on Polar Science aims to introduce students and other researchers in computing, physics, geology, earth science, and environmental science disciplines to fundamental concepts in Polar Science. The overarching objective is to build upon foundational knowledge, specifically in the following topics: Atmospheric Science, Ocean Science, Ice Sheets, Sea Ice, Reanalysis (ERA5), Data Simulation and Emulators, and Climate Modeling. Each workshop structure is also designed to foster collaboration between faculty/research experts and PhD students to serve as co-facilitators, where we will learn more about best practices, lessons learned, research gaps, and new directions.

July 22, 2025 (4-5 pm EST) | Foundational Concepts: Atmospheric Science  Recording

Facilitator: Dr. Zhibo Zhang,
Professor, Department of Physics, UMBC

Co-Facilitator: Dr. Sudip Chakraborty,
Research Assistant Professor, iHARP, UMBC


July 29, 2025 (4-5 pm EST) | Foundational Concepts: Ocean Science  Recording

Facilitator: Dr. Ratnaksha Lele,
Research Assistant Professor, iHARP, UMBC

Student Co-Facilitator: Sai V. Amaraneni,
PhD Student, iHARP, UMBC


August 5, 2025 (4-5 pm EST) | Foundational Concepts on Polar Science: Ice Sheets and Sea Ice  Recording

In his presentation, Professor Holschuh provides an overview of the components of the Cryosphere and describes the processes that govern their size and distribution in a changing climate. This includes a description of the physics of glacier sliding and glacier calving, a breakdown of environmental differences between Northern Hemisphere and Southern Hemisphere ice sheets, and a description of sea ice dynamics.

Facilitator: Dr. Nick Holschuh,
Assistant Professor of Geology, Amherst College


August 19, 2025 (4-5 pm EST) | Reanalysis (ERA5), Data Simulation and Emulators  Recording

This presentation, titled “Introduction to Climate Modeling, Reanalysis and Model Emulation,” provides an overview of how scientists use technology to understand and predict the Earth’s climate. It was presented at an iHARP Technical Workshop in August 2025.

Key Presentation Highlights

Defining Climate Models: The presentation describes climate models as “virtual laboratories” that use mathematical equations based on physics, fluid motion, and chemistry to simulate the Earth’s complex systems.

The Role of Reanalysis: It introduces “reanalysis,” a process that combines historical observations (like satellite data and ship logs) with modern physics models to create a consistent record of past weather and climate.

Emerging Technology: The slides highlight how Artificial Intelligence and Machine Learning are being integrated with traditional models to create “emulators” (like FourCastNet) that can predict extreme weather risks much faster than previous methods.

Real-World Impact: The data from these models serves as a critical foundation for international reports, such as those from the IPCC, which inform global climate policy and targets like the Paris Agreement.

Facilitator: Dr. Aneesh Subramanian,
Associate Professor, Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder

Student Co-Facilitator: Ziqi Yin,
PhD Candidate, Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder

Last updated February 27, 2026