Nathan Lenssen
Teaching Assistant Professor, Applied Mathematics and Statistics
Contact
Engineering Annex 103
lenssen@mines.edu
Dr. Nathan Lenssen is an Assistant Teaching Professor in Applied Mathematics and Statistics at Colorado School of Mines and a Project Scientist at the National Center of Atmospheric Research (NCAR). He received his PhD in Earth and Environmental Sciences and MA in Statistics from Columbia University. As an instructor, Nathan develops data science and climate science curricula with a focus on project-based learning and using statistics to better ask and answer questions about the world. His research aims are to better understand variability, predictability, and change of the climate system, while accounting for uncertainty in observational data and biases in dynamical climate models. He develops statistical and dynamical models as well as the computational methods needed to apply these models to extremely large datasets.
Education
- Ph.D. in Earth and Environmental Sciences, Columbia University
- M.A. in Statistics, Columbia University
- B.A. in Mathematics and Physics, Claremont McKenna College
Recent Courses
- MATH201: Introduction to Statistics
- MATH324: Statistical Modeling
- MATH334: Introduction to Probability
- MATH437/537: Multivariate Analysis
- MATH560: Introduction to Key Statistical Learning Methods I
- MATH561: Introduction to Key Statistical Learning Methods II
Research Areas
- Statistical prediction of dynamical systems
- Spatial statistics for geoscience applications
- Large-scale atmospheric and oceanic dynamics
- Impacts of climate change on natural and human systems
Recent Publications
Complete list of publications here.
- Shaw, J. & Lenssen N. (2025), “Early and Widespread Emergence of Regional Warming is Robust to Observational and Model Uncertainty” Environmental Research Letters [link, press release]
- Lenssen, N., Schmidt, G. A., Hendrickson, M., et al. (2024), “A GISTEMPv4 Observational Uncertainty Ensemble” Journal of Geophysical Research: Atmospheres [link, news article]
- W. Anderson, S. Shukla, … N. Lenssen, et al. (2024) “Preseason maize and wheat yield forecasts for early warning of crop failure” Nature Communications. [link, blog post]
- Lenssen, N., DiNezio, P., Goddard, L., et al. (2024). “Strong El Niño events lead to robust multi‐year ENSO predictability” Geophysical Research Letters. [link, news article]
- Schwarzwald, K., & Lenssen, N. (2022). “The importance of internal climate variability in climate impact projections” Proceedings of the National Academy of Sciences.