Multi-scale Methane Analytic Framework

We propose to mature and integrate methane data analysis capabilities spanning multiple observing systems and spatial scales into an analytic center framework. The Multi-scale Methane Analytic Framework (M2AF) will address the needs of public and private sector stakeholders for improved decision support and also help the science community fully exploit emerging and planned airborne and space-based methane observations. We will develop an analytic center framework that: 1. Provides workflow optimization and management tools that help methane science investigations and applications proceed in an efficient (low latency) and repeatable manner. 2. Provides analytic tools to characterize methane fluxes and the physical processes that control them. 3. Facilitates data search and discovery relevant to specific methane science investigations and applications from diverse data sets. 4. Leverages our prototype methane data portal to provide collaborative, web-based tools for enabling scientific discussion and application of data analysis and modeling results. This framework will significantly mature and integrate component capabilities we developed under previous and ongoing methane projects including NASA's Carbon Monitoring System (CMS) program (Jacob-2013, 2016, Duren-2012, 2015) and ACCESS Methane Source Finder project, the interagency California Methane Survey project (CARB/CEC/NASA funded), and the interagency Megacities Carbon Project (NIST, NASA, NOAA, CARB funded). Those capabilities currently involve primarily standalone experimental demonstrations with surface, airborne and satellite observations (TRL 3-4) and uncoordinated data processing and modeling systems. We assess the TRL levels of these capabilities to be mostly in the TRL 3-4 range, with some (data portal) in the TRL-5 range. We propose to further develop and mature these capabilities (with additional testing with airborne and satellite observations) with input from our technology recipients, achieving exit TRLs in the 5-6 range.

Advance Earth system science knowledge through the identification, development, and demonstration of innovative information systems technologies

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