Otto Lamminpaa

Biographical Sketch

Dr. Otto Lamminpää is a data scientist and applied mathematician working on greenhouse gas retrieval Uncertainty Quantification, Gaussian process emulation of computationally expensive radiative transfer models, fast UQ-aware direct retrieval techniques using machine learning and mixture modeling, and Markov Chain Monte Carlo (MCMC) methods. His research is mainly conducted as a member of OCO-2 and OCO-3 UQ teams, with additional interest and work on NASA's EMIT and GeoCarb missions, planetary boundary layer investigation of water vapor and clouds, and terrestrial carbon cycle modeling using the CARDAMOM framework.

Dr. Lamminpää received his PhD in Applied Mathematics from the University of Helsinki, Finland, while working in the Greenhouse Gases and Satellite Methods research group at the Finnish Meteorological Institute (FMI). In his dissertation work, he applied Dimension Reduction and MCMC to two remote sensing retrieval problems: the XCO2 retrieval of NASA's Orbiting Carbon Observatory 2 and the CH4 profile retrieval of the Sodankylä, Finland, TCCON station. He maintains active academic research collaboration with FMI and several US based universities, and is passionate about bringing experts on cutting edge physics modeling and advanced computational mathematics together to solve current challenges in Earth science.

Projects

• Orbiting Carbon Observatory 2 (OCO-2)
• Orbiting Carbon Observatory 3 (OCO-3)

Selected Publications

Otto Lamminpää, Amy Braverman, Maggie Johnson, Jonathan Hobbs, Jouni Susiluoto, and Mike Turmon (2024). “Gaussian Mixture Models for Inversion and Uncertainty Quantification,” Document (CL#24-0952).

Lamminpää, O. M., Susiluoto, J. I., Hobbs, J. M., McDuffie, J. L., Braverman, A. J., and Owhadi, H. (2024). “Forward Model Emulator for Atmospheric Radiative Transfer Using Gaussian Processes And Cross Validation,” Atmospheric Measurement Techniques Discussions, 2024, pp. 1–32. Document (link to DOI).

Zina-Sabrina Duma, Jouni Susiluoto, Otto Lamminpää, Tuomas Sihvonen, Satu-Pia Reinikainen, and Heikki Haario (2023). “KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows,” Document.

Karppinen, Tomi, Lamminpää, Otto, Tukiainen, Simo, Kivi, Rigel, Heikkinen, Pauli and others (2020). “Vertical Distribution of Arctic Methane in 2009–2018 Using Ground-Based Remote Sensing,” Remote Sensing, 12(6). Document (link to DOI).

Lamminpää, O., Hobbs, J., Brynjarsdóttir, J., Laine, M., Braverman, A. and others (2019). “Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO₂,” Remote Sensing, 11(17). Document (link to DOI).

Lamminpää, Otto, Laine, Marko, Tukiainen, Simo, and Tamminen, Johanna (2019). “Likelihood Informed Dimension Reduction for Remote Sensing of Atmospheric Constituent Profiles,” 2017 MATRIX Annals, ed. J. de Gier, C. Praeger, and T. Tao, pp. 65–78, Springer International Publishing. Document (link to DOI).