Journal article

Potential of a geostationary geoCARB mission to estimate surface emissions of CO2, CH4 and CO in a polluted urban environment: case study Shanghai

Denis M O'Brien, Igor N Polonsky, Steven R Utembe, Peter J Rayner

Atmospheric Measurement Techniques | COPERNICUS GESELLSCHAFT MBH | Published : 2016

Abstract

This paper describes a numerical experiment to test the ability of the proposed geoCARB satellite to estimate emissions of trace gases (CO , CH and CO) in the polluted urban environment of Shanghai. The meteorology over Shanghai is simulated with the Weather Research and Forecasting (WRF) model for a 9-day period in August 2010. The meteorology includes water and ice clouds. The chemistry version of WRF (WRF-Chem V3.6.1) is used to predict the chemical composition, mass density and number density of aerosol species. Spectra in the bands measured by geoCARB are calculated, including the effects of polarisation and multiple scattering of radiation by clouds, aerosols and molecules. Instrument..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council (ARC)


Awarded by Lockheed Martin under ARC Linkage grant


Funding Acknowledgements

The authors express their gratitude to Jack Kumer of the Lockheed-Martin Advanced Technology Center (ATC) for many helpful discussions of the geoCARB instrument and the interpretation of its spectra. Steven R. Utembe acknowledges support from the GORGE project, jointly funded by the Australian Research Council (ARC) and Lockheed Martin under ARC Linkage grant number LP130100404. Denis M. O'Brien and Igor N. Polonsky also acknowledge direct support from Lockheed-Martin ATC. The retrieval algorithm was run on the OCO cluster at Colorado State University thanks to support from Chris O'Dell. The code that generated geoCARB spectra from WRF fields was run in Melbourne on the 16-node cluster at Greenhouse Gas Monitor Australia Pty. Ltd.