Sol Kim

Sol Kim

Extreme weather, attribution science, and climate justice

Research Associate in the Urban Theory Lab and Faculty Affiliate on the Committee on Environment, Geography, and Urbanization at the University of Chicago.

Climate scientist studying our past, present, and future climates and applying research towards climate litigation and loss and damage negotiations. Research interests in weather and climate extremes (e.g. atmospheric rivers, tropical cyclones, and heatwaves), attribution science (identifying the human influence on climate and weather), and climate justice/litigation (equity and human rights under climate change).

Prior work includes independent research on heat waves through a Fulbright grant in Finland, Geoinformatics and Mission Applications Fellow for the NASA DEVELOP program at the Jet Propulsion Lab, and Climate Science Co-Lead for a European Space Agency grant on Artificial Intelligence for Earth Observations.

Holds a PhD in Geography from the University of California, Berkeley and a BS and BA in Society and Environment (US Policy and Management) and Geography (Earth System Sciences) also from the University of California, Berkeley.


Selected Projects

ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

Paper  ·  Dataset


Research & Publications

A large-scale dataset for training deep learning segmentation and tracking of extreme weather

Kim, S., Graubner, A., Kapp-Schwoerer, L., Kashinath, K., & Schindler, K.  ·  Scientific Data 12, 1151, 2025

Atmospheric river lifecycle characteristics shaped by synoptic conditions at genesis

Kim, S., & Chiang, J. C. H.  ·  International Journal of Climatology 42(1), 521–538, 2022

Atmospheric river representation in the Energy Exascale Earth System Model (E3SM) version 1.0

Kim, S., Leung, L. R., Guan, B., & Chiang, J. C. H.  ·  Geoscientific Model Development 15(14), 5461–5480, 2022

Heat waves in Finland: present and projected summertime extreme temperatures and their associated circulation patterns

Kim, S., Sinclair, V. A., Räisänen, J., & Ruuhela, R.  ·  International Journal of Climatology 38(3), 1393–1408, 2018

ClimateNet: an expert-labelled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

Prabhat, Kashinath, K., Mudigonda, M., Kim, S., et al.  ·  Geoscientific Model Development 14(1), 107–124, 2021

Full list on Google Scholar


Teaching

Global Environmental Change  CEGU 20003

University of Chicago  ·  Winter 2026; Winter 2025; Winter 2024

Introduction to Critical Spatial Media  CEGU 23517

University of Chicago  ·  Winter 2024; Autumn 2023

Climate Dynamics  GEOG 142

Graduate Student Instructor  ·  University of California, Berkeley  ·  Autumn 2022; Spring 2021

Introduction to Earth System Science  GEOG 40

Graduate Student Instructor  ·  University of California, Berkeley  ·  Autumn 2020; Autumn 2019


CV

Education

2023 Ph.D. Geography

University of California, Berkeley

2014 B.S. Society and Environment & B.A. Geography (High Honors)

University of California, Berkeley

Other Experience

Sub Co-PI, NSF 24-520 LTER V

Coastal Oligotrophic Ecosystem Research

Climate Science Co-Lead, European Space Agency

Contract No. 4000140389/23/I-DT-bgh  ·  Artificial Intelligence for Earth Observations: Advancing the Study of Extreme Weather Events with Data, Deep Learning Methods, and Climate Analysis

Model Evaluation, Pacific Northwest National Laboratory

PhD Research Assistant  ·  Energy Exascale Earth System Model

Fulbright Research Fellow, Finland

Independent Research on Heat Waves  ·  University of Helsinki and Finnish Meteorological Institute

National Program Fellow, NASA DEVELOP

Geoinformatics & Mission Applications Fellow  ·  NASA Jet Propulsion Laboratory


Contact

solkim1 [at] gmail [dot] com