We will deliver the annual global methane budget and its uncertainties from january 2018 through december 2021. As demonstrated in this proposal, the budget is partitioned by source type (e.g.…

This is a $277,449.73 grant awarded by the National Aeronautics and Space Administration (NASA) to the California Institute of Technology (Caltech) to deliver the annual global methane budget and its uncertainties from January 2018 through December 2021. The grant will utilize data, tools, and expertise built from previous NASA-funded research to provide a detailed accounting of methane sources and sinks, including partitioning by source type (e.g., fossil fuels, wetlands, agriculture) and the global sink from oxidation. The work will generate emissions estimates for individual countries to evaluate national inventories reported to the United Nations Framework Convention on Climate Change. The grant does not have a set-aside designation, reflecting Caltech's competitive research capabilities across multiple scientific domains. As a leading private research university, Caltech has demonstrated extensive experience in supporting NASA and other federal agencies through both contract and grant awards focused on advancing scientific knowledge and developing innovative technologies.

We will deliver the annual global methane budget and its uncertainties from january 2018 through december 2021. As demonstrated in this proposal, the budget is partitioned by source type (e.g. fossil fuel, wetlands, fires, agriculture) and includes the global sink from oxidation by the OH radical. The budget will include well-characterized uncertainties that are traceable back to the uncertainties in the data and model. Where possible we will generate emissions estimates for individual countries in order to evaluate national inventories reported to the united nations framework convention on climate change (unfccc). We utilize the tools, data, and expertise built from previous roses carbon monitoring system (CMS), interdisciplinary science (IDS), carbon cycle and ecosystem (CCE), and aura mission grants to accomplish this goal. State-of-the science bottom-up inventories (e.g., wetlands from inundation / rainfall, fossil fuels from country reported totals) are used as prior knowledge. Top down flux estimates are provided by integrating satellite based measurements of total column methane with two state-of-the science models (geos-chem and lmdz). After fluxes of methane are computed, a bayesian attribution approach integrates the quantified methane fluxes with fire emission estimates of methane based on modis burned area and mopitt CO data, and surface measurements of methane and its isotopic composition, to better quantify methane emissions by source and geographical region, including uncertainties.