Articles | Volume 15, issue 10
https://doi.org/10.5194/acp-15-5903-2015
https://doi.org/10.5194/acp-15-5903-2015
Research article
 | 
28 May 2015
Research article |  | 28 May 2015

A multi-model evaluation of aerosols over South Asia: common problems and possible causes

X. Pan, M. Chin, R. Gautam, H. Bian, D. Kim, P. R. Colarco, T. L. Diehl, T. Takemura, L. Pozzoli, K. Tsigaridis, S. Bauer, and N. Bellouin

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Cited articles

Ali, K., Momin, G. A., Tiwari, S., Safai, P. D., Chate, D. M., Rao, and P. S. P.: Fog and precipitation chemistry at Delhi, North India, Atmos. Environ., 38, 4215–4222, 2004.
Babu, S. S., Manoj, M. R., Moorthy, K. K., Gogoi, M. M., Nair, V. S., Kumar Kompalli, S., Satheesh, S. K., Niranjan, K., Ramagopal, K., Bhuyan, P. K., and Singh, D.: Trends in aerosol optical depth over Indian region: potential causes and impact indicators, J. Geophys. Res. Atmos., 118, 11794–11806, https://doi.org/10.1002/2013JD020507, 2013.
Badarinath, K. V. S., Kharol, S. K., and Sharma, A. R.: Long-range transport of aerosols from agriculture crop residue burning in Indo-Gangetic Plains – A study using LIDAR, ground measurements and satellite data, J. Atmos. Sol.-Terr. Phy., 71, 112–120, https://doi.org/10.1016/j.jastp.2008.09.035, 2009a.
Badarinath, K. V. S., Kharol, S. K., Sharma, A. R., and Krishna Prasad, V.: Analysis of aerosol and carbon monoxide characteristics over Arabian Sea during crop residue burning period in the Indo-Gangetic Plains using multi-satellite remote sensing datasets, J. Atmos. Sol.-Terr. Phy., 71, 1267–1276, 2009b.
Bauer, S. E., Wright, D. L., Koch, D., Lewis, E. R., McGraw, R., Chang, L.-S., Schwartz, S. E., and Ruedy, R.: MATRIX (Multiconfiguration Aerosol TRacker of mIXing state): an aerosol microphysical module for global atmospheric models, Atmos. Chem. Phys., 8, 6003–6035, https://doi.org/10.5194/acp-8-6003-2008, 2008.
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