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Activity Details
271 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Statistical Modeling and Uncertainty Quantification for Atmospheric Remote Sensing Retrievals — Topic Contributed Papers
Section on Physical and Engineering Sciences , Section on Statistics and the Environment, Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Anirban Mondal, Case Western Reserve University
Chair(s): Matthias Katzfuss, Texas A&M University
1:05 PM
Bayesian Uncertainty Quantification for Atmospheric CO2 Retrieval Using Functional Principal Component Based Emulators
Anirban Mondal, Case Western Reserve University ; Jonathan Hobbs, Jet Propulsion Laboratory; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Emily Kang, University of Cincinnati ; Bledar Konomi, University of Cincinnati
1:25 PM
Accounting for Model Discrepancy in CO2 Retrievals
Jenny Brynjarsdottir, Case Western Reserve University
1:45 PM
Objective Frequentist Uncertainty Quantification for Atmospheric Carbon Dioxide Retrievals
Mikael Kuusela, Carnegie Mellon University ; Pratik Patil, Carnegie Mellon University; Jonathan Hobbs, Jet Propulsion Laboratory
2:05 PM
Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data
Jonathan Hobbs, Jet Propulsion Laboratory ; Matthias Katzfuss, Texas A&M University; Hai Nguyen, Jet Propulsion Laboratory; Vineet Yadav, Jet Propulsion Laboratory
2:25 PM
Forward Model Emulation for NASA’s Microwave Limb Sounder
Margaret Johnson, Jet Propulsion Laboratory ; Joaquim Teixeira, Jet Propulsion Laboratory; Nathaniel Livesey, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
2:45 PM
Floor Discussion
