Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4461-2016
https://doi.org/10.5194/gmd-9-4461-2016
Development and technical paper
 | 
15 Dec 2016
Development and technical paper |  | 15 Dec 2016

Daily black carbon emissions from fires in northern Eurasia for 2002–2015

Wei Min Hao, Alexander Petkov, Bryce L. Nordgren, Rachel E. Corley, Robin P. Silverstein, Shawn P. Urbanski, Nikolaos Evangeliou, Yves Balkanski, and Bradley L. Kinder

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Cited articles

Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011.
Alexeyev, V. A. and Birdsey, R. A. (Eds.): Carbon storage in forests and peatlands of Russia. Gen. Tech. Rep. NE-244. Radnor, PA: US Department of Agriculture, Forest Service, Northeastern Research Station, 137 pp., 1998.
Bian, H., Colarco, P. R., Chin, M., Chen, G., Rodriguez, J. M., Liang, Q., Blake, D., Chu, D. A., da Silva, A., Darmenov, A. S., Diskin, G., Fuelberg, H. E., Huey, G., Kondo, Y., Nielsen, J. E., Pan, X., and Wisthaler, A.: Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign, Atmos. Chem. Phys., 13, 4707–4721, https://doi.org/10.5194/acp-13-4707-2013, 2013.
Bond, T. C., Streets, D. G., Yarber, K. F., Nelson, S. M., Woo, J.-H., and Klimont, Z.: A technology-based global inventory of black and organic carbon emissions from combustion, J. Geophys. Res., 109, D14203, https://doi.org/10.1029/2003JD003697, 2004.
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We developed the most comprehensive dataset of daily BC emissions from forest, grassland,...
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