Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation

O Lamminpää, J Susiluoto, J Hobbs… - Atmospheric …, 2025 - amt.copernicus.org
Remote sensing of atmospheric carbon dioxide (CO2) carried out by NASA's Orbiting
Carbon Observatory-2 (OCO-2) satellite mission and the related uncertainty quantification …

Objective Frequentist Uncertainty Quantification for Atmospheric Retrievals

P Patil, M Kuusela, J Hobbs - SIAM/ASA Journal on Uncertainty Quantification, 2022 - SIAM
The steadily increasing amount of atmospheric carbon dioxide () is affecting the global
climate system and threatening the long-term sustainability of Earth's ecosystem. In order to …

Spatial surface reflectance retrievals for visible/shortwave infrared remote sensing via Gaussian process priors

D Zilber, DR Thompson, M Katzfuss, V Natraj, J Hobbs… - Remote Sensing, 2022 - mdpi.com
Remote Visible/Shortwave Infrared (VSWIR) imaging spectroscopy is a powerful tool for
measuring the composition of Earth's surface over wide areas. This compositional …

Forward Model Emulator for Atmospheric Radiative Transfer Using Gaussian Processes And Cross Validation

OM Lamminpää, JI Susiluoto, JM Hobbs… - Atmospheric …, 2024 - amt.copernicus.org
Remote sensing of atmospheric carbon dioxide (CO 2) carried out by NASA's Orbiting
Carbon Observatory-2 (OCO-2) satellite mission and the related Uncertainty Quantification …

[引用][C] Application, Methodology, and Theory for Gaussian Processes

DS Zilber - 2021