Feng (CMS 2020): Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System - Follow-On
Sha Feng, Pacific Northwest National Laboratory, sfeng@pnnl.gov (Presenter)
We propose to extend our regional modeling for the Carbon Monitoring System (CMS) to estimate North American CO2 fluxes through 2020 in order to take advantage of new datasets with a focus on improving uncertainty quantification through the CarbonTracker-Lagrange (CT-L) system and a proposed hybrid 4Dvar WRF-CO2-4Dvar system. CT-L is a high-resolution regional inverse modeling framework used to quantify CO2 fluxes (3-hourly at a 1-deg by 1-deg resolution) on regional-to-continental scales that was originally developed to analyze in situ measurements from the North American Carbon Program. Under previous CMS-funded efforts, we have added footprints (surface influence functions) for NASA remote sensing datasets such as OCO-2, and we have developed strategies to investigate consistency among in situ and remote sensing datasets and for combining in situ and remote sensing data for flux estimation. With geostationary carbon satellites (such as GeoCARB) being launched, satellite footprint generations become nearly impossible due to the expensive computational cost. A new inverse flux estimation strategy is needed to take advantage of satellite measurements in the coming years. Here we propose to: (1) extend CT-L flux estimates for North America using in situ, OCO-2 and other data for 2018 - 2020, (2) investigate error quantifications for constraining the flux estimation by leveraging independent data and ensemble modeling activities from the NASA Atmospheric Carbon and Transport – America (ACT-America), (3) develop a WRF-CO2-4Dvar carbon flux estimation framework that is more suitable for assimilating satellite data and solves the carbon fluxes at policy-relevant scales (101 km, directly comparable to US EPA agricultural, grassland and forest inventory flux estimates), and (4) conduct a set of continental-scale Observation System Simulation Experiments in preparation for analysis of data from the newly announced Geostationary Carbon Cycle Observatory (GeoCARB) mission. Our project will make extensive use of NASA satellite and airborne missions, including OCO-2 and TCCON XCO2, and ACT-America and NSF and DOE field campaign measurements. We will also use and evaluate NASA model products (e.g., MERRA transport fields and CMS flux products), thus strengthening links between CMS and NOAA’s CT-L effort and supporting the development of an integrated Carbon Monitoring System. The proposed work will further develop strategies for incorporating diverse CO2 observations into CMS flux products and for quantifying fluxes and their uncertainties at policy-relevant scales and for Monitoring, Reporting and Verification (MRV).
Associated Project(s):
Poster Location ID: 27
Presentation Type: Poster
Session: Poster Session 1
Session Date: Wednesday (9/27) 1:15 PM