Innovations in Modeling and Statistical Analysis for Greenhouse Gas Flux Monitoring
Benmergui, Joshua Simon
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CitationBenmergui, Joshua Simon. 2019. Innovations in Modeling and Statistical Analysis for Greenhouse Gas Flux Monitoring. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences.
AbstractThis dissertation focuses on innovations in statistics and modeling tools for greenhouse gas flux estimation. It examines a range of observation types at various scales and considers carbon dioxide (CO2) and methane (CH4). It is composed of 4 studies: 1) a mission planning and design tool for MethaneSAT: a high resolution greenhouse gas imaging satellite, 2) image processing and inverse modelling developments for determining major emitters and fluxes from MethaneSAT observations, 3) an inverse analysis of aircraft in-situ CO2 measurements made in Alaska as part of the Carbon in Arctic Reservoirs Vulnerability Experiment, and 4) a re-casting of the statistics of carbon exchange at Harvard Forest due to tree growth, recruitment, and mortality.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42013117
- FAS Theses and Dissertations