Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7605-2017
https://doi.org/10.5194/acp-17-7605-2017
Research article
 | 
22 Jun 2017
Research article |  | 22 Jun 2017

Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem

Jonathan J. Guerrette and Daven K. Henze

Data sets

The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2, and 2.4 (ftp://ftp.nccs.nasa.gov/aerosol/emissions/QFED/v2.4r8/0.1/) A. S. Darmenov and A. da Silva https://gmao.gsfc.nasa.gov/pubs/docs/Darmenov796.pdf

Fully coupled "online" chemistry within the WRF model (https://ruc.noaa.gov/wrf/wrf-chem/) G. A. Grell, S. E. Peckham, R. Schmitz, S. A. McKeen, G. Frost, W. C. Skamarock, and B. Eder https://doi.org/10.1016/j.atmosenv.2005.04.027

Spatial and seasonal trends in particle concentration and optical extinction in the United States (http://views.cira.colostate.edu/fed/DataWizard/Default.aspx) W. C. Malm, J. F. Sisler, D. Huffman, R. A. Eldred, and T. A. Cahill https://doi.org/10.1029/93JD02916

Emission characteristics of black carbon in anthropogenic and biomass burning plumes over California during ARCTAS-CARB 2008 (https://www-air.larc.nasa.gov/cgi-bin/ArcView/arctas#KONDO.YUTAKA/) L. K. Sahu, Y. Kondo, N. Moteki, N. Takegawa, Y. Zhao, M. J. Cubison, J. L. Jimenez, S. Vay, G. S. Diskin, A. Wisthaler, T. Mikoviny, L. G. Huey, A. J. Weinheimer, and D. J. Knapp https://doi.org/10.1029/2011JD017401

Estimating emissions from fires in North America for air quality modeling (http://bai.acom.ucar.edu/Data/fire/) C. Wiedinmyer, B. Quayle, C. Geron, A. Belote, D. McKenzie, X. Zhang, S. O'Neill, and K. K. Wynne https://doi.org/10.1016/j.atmosenv.2006.02.010

The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning (http://bai.acom.ucar.edu/Data/fire/) C. Wiedinmyer, S. K. Akagi, R. J. Yokelson, L. K. Emmons, J. A. Al-Saadi, J. J. Orlando, and A. J. Soja https://doi.org/10.5194/gmd-4-625-2011

Short summary
This work describes the implementation and application of a new advanced tool, WRFDA-Chem, for top-down constraints of regional atmospheric chemical emissions. Aircraft and surface observations of black carbon are traced to anthropogenic and biomass burning sources in California during ARCTAS-CARB. The information content of the observations is quantified through variance reduction and degrees of freedom of signal, which can be used to assess observing strategies and emission inventories.
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