Jangho Lee

Jangho Lee

CROCUS Postdoctoral Researcher

Publications

[Last Updated: 4/2/2025] You can also find my articles on my Google Scholar profile.

Under Review

  1. Lee, J., Park, S. Y., Wadhwa, A., Packman, A., Nesbitt, S., Garcia., M. H., Berkelhammer, M., Sharma, A., Kotamarthi, R, Hence, D., & Miller, W., (2025). Information Content of Satellite Observations, Hydrological Models, and Crowdsourced Data for Urban Flood Monitoring. Water Resources Research, [Under Review].
  2. Lee, J., & Berkelhammer, M (2025). Evaluating the Influence of Traffic Congestion on Surface Urban Heat Island Intensity. Geophysical Research Letters, [Under Review].
  3. Lee, J., Berkelhammer, M., Park, S. Y., Wilson, M (2025). Analysis of Urban Flooding in Chicago Based on Crowdsourced Data: Drivers and the Need for Community-Based Mitigation Strategies. Environmental Research: Infrastructure and Sustainability, [Under Review].

2025

  1. Cho, A, Love, N., Cintron, R., Nicholson, Jane., Xu, L., Nunez-Mir, G., Lee, J., Berkelhammer, M., Gonzalez-Meler, M (2025). Plant Species Selection and Participatory Community Co-design are Essential in Balancing Ecosystem Services and Disservices in Urban Areas. Environmental Research Letters, [In Press].
  2. Lee, J., & Park, S.Y. (2025). WGAN-GP-Based Conditional GAN (cGAN) with Extreme Critic for Precipitation Downscaling in a Key Agricultural Region of the Northeast U.S. IEEE Access–Geoscience and Remote Sensing Society Section, [Link]
  3. Lee, J. (2025). Inferring Urban Air Temperatures from Land Surface Temperatures with the E3SM Land Model (uELM), Satellite Observations, and Measurement Campaign. IEEE Access–Geoscience and Remote Sensing Society Section, 13, 32564-32573. [Link]
  4. Lee, J. (2025). Estimating Near-Surface Air Temperature from Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis. IEEE Access–Geoscience and Remote Sensing Society Section, 13, 28935-28945. [Link]

2024

  1. Lee, J., & Berkelhammer, M. (2024). Observational Constraints on the Spatial Effect of Greenness and Canopy Cover on Urban Heat in Major Midlatitude City. Geophysical Research Letters, 51(1), e2024GL110847. [Link]
  2. Cho, A, Dziedzic, N., Davis, A., Hanson, C., Lee, J., Nunez-Mir, G., Gonzalez-Meler, M. A. (2024). Leaf Functional Traits Highlight Phenotypic Variation of Two Tree Species in the Urban Environment. Frontiers in Plant Science Functional Plant Ecology, 15, 1450723. [Link]
  3. Lee, J. (2024). Assessment of U.S. Urban Surface Temperature using GOES-16 and 17 Data: Urban Heat Island and Temperature Inequality. Weather, Climate, and Society, 16(2), 315-329. [Link]
  4. Lee, J., Berkelhammer, M., Wilson, M. D., Love, N., & Cintron, R. (2024). Urban Land Surface Temperature Downscaling in Chicago: Addressing Ethnic Inequality and Gentrification. Remote Sensing, 16(9), 1639. [Link]
  5. Lee, J., & Hu, M. (2024). Effect of Environmental and Socioeconomic Factors on Increased Early Childhood Blood Lead Levels: A Case Study in Chicago. International Journal of Environmental Research and Public Health, 21, 383. [Link]
  6. Lee, J., & Dessler, A. E. (2024). Improved Surface Urban Heat Impact Assessment Using GOES Satellite Data: A Comparative Study With ERA‐5. Geophysical Research Letters, 51(1), e2023GL107364. [Link]

Prior to 2024

  1. Lee, J., & Dessler, A. E. (2023). Future Temperature‐Related Deaths in the US: The Impact of Climate Change, Demographics, and Adaptation. GeoHealth, 7(8), e2023GH000799. [Link]
  2. Lee, J., & Dessler, A. E. (2022). The Impact of Neglecting Climate Change and Variability on ERCOT’s Forecasts of Electricity Demand in Texas. Weather, Climate, and Society, 14(2), 499-505. [Link]
  3. Lee, J., Mast, J. C., & Dessler, A. E. (2021). The Effect of Forced Change and Unforced Variability in Heat Waves, Temperature Extremes, and Associated Population Risk in a CO2-Warmed World. Atmospheric Chemistry and Physics, 21(15), 11889-11904. [Link]
  4. Lee, J., Shi, Y. R., Cai, C., Ciren, P., Wang, J., Gangopadhyay, A., & Zhang, Z. (2021). Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation. Remote Sensing, 13(3), 456. [Link]
  5. Lee, J., & Kim, K. Y. (2018). Analysis of Source Regions and Meteorological Factors for the Variability of Spring PM10 Concentrations in Seoul, Korea. Atmospheric Environment, 175, 199-209. [Link]
  6. Lee, J. (2017). Future Trend in Seasonal Lengths and Extreme Temperature Distributions over South Korea. Asia-Pacific Journal of Atmospheric Sciences, 53, 31-41. [Link]