Journal article

Estimates of CO2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling

Alecia Nickless, Peter J Rayner, Francois Engelbrecht, Ernst-Gunther Brunke, Birgit Erni, Robert J Scholes

Atmospheric Chemistry and Physics | COPERNICUS GESELLSCHAFT MBH | Published : 2018

University of Melbourne Researchers


Awarded by Council of Scientific and Industrial Research

Funding Acknowledgements

We would like to acknowledge and thank Casper Labuschagne and Danie van der Spuy of the South African Weather Service for their assistance in maintaining the instruments at Robben Island and Hangklip, and Casper Labuschagne for his guidance on processing the instantaneous CO<INF>2</INF> concentration data; Martin Steinbacher for providing guidance and schematics on the calibration system used on the Picarro instruments; Robin Poggenpoel and Jacobus Smith of Transnet for allowing us access to the lighthouses; Peter Saaise of Transnet, the Robben Island lighthouse keeper (and his daughter), for assisting when the instrument was not responding; Marek Uliasz for providing us access to the code for his LPDM model; Thomas Lauvaux for providing guidance on processing the LPDM results and useful discussion on the boundary contribution in the inversion; Keith Moir in Rooi Els, for providing wind data near Hangklip. Use was made of the University of Cape Town ICTS-HPC cluster. Please see for details. We would like to thank Andrew Lewis of the University of Cape Town HPC facility for providing useful advice on improving the efficiency of the Python runs. This research was funded by competitive parliamentary grant funding from the Council of Scientific and Industrial Research awarded to the Global Change Competency Area towards the development of the VRESM (grants EEGC030 and EECM066). Additional funding was obtained from the South African National Research Foundation for the Picarro instrumentation.