Biography
Dr. Jesse Loveridge is an Atmospheric Scientist at the New Zealand MetService. He works on local-area numerical weather prediction, operational dispersion modeling of volcanic ash, and quantitative precipitation estimation using a fusion of ground based radars, rain gauges, satellite data, and model data.
Jesse's research interests focus on the development of new remote sensing techniques that use 3d radiative transfer and their application to studying aerosol-cloud-precipitation-radiation interactions and estimating solar energy resources. These techniques utilize machine-learning methods and physics-based approaches such as Atmospheric Tomography with 3D Radiative Transfer. He also has an interest in numerical methods for radiative transfer and solving inverse problems, and the validation using in situ measurements from field campaigns.
Education
- M.Sc Physics, University of Auckland, 2018
- B.Sc (1st Class Honours) Physics, University of Auckland, 2015
- Ph.D, University of Illinois at Urbana-Champaign, 2023
External Links
Highlighted Publications
Loveridge, J. R., Fu, D., & Di Girolamo, L. (2025). Validating machine learning retrievals of the cloud-top droplet effective radius over oceans that account for 3D radiative transfer effects. Journal of Geophysical Research: Atmospheres, 130, e2025JD044317. https://doi.org/10.1029/2025JD044317
Di Girolamo, L., Zhao, G., Zhang, G., Wang, Z., Loveridge, J., Mitra, A. (2025). Intensification and migration of the atmospheric circulation detected by satellite-measured cloud motion vectors over the past two decades. Nature. https://doi.org/10.1038/s41586-025-09242-1
Loveridge, J., Levis, A., Di Girolamo, L., Holodovsky, V., Forster, L., Davis, A. B., and Schechner, Y. Y. (2023). Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation, Atmos. Meas. Tech., 16, 1803–1847, https://doi.org/10.5194/amt-16-1803-2023
Recent Publications
Loveridge, J., Marshak, A., Chiu, C. (2026). Fast Retrieval of Cloud Optical Depth from Polarimetry and Multi-spectral Imagery that Accounts for Cloud Heterogeneity using 3D Radiative Transfer. Journal of Geophysical Research: Atmospheres, 131, e2025JD044716. https://doi.org/10.1029/2025JD044716
Loveridge, J. R. and Di Girolamo, L. (2025). Errors in stereoscopic retrievals of cloud top height for single-layer clouds. Atmos. Meas. Tech., 18, 3009–3033, https://doi.org/10.5194/amt-18-3009-2025