References

GMD

Geoscientific Model Development

GMD

Geosci. Model Dev.

1991-9603

Copernicus Publications

Göttingen, Germany

10.5194/gmd-7-2709-2014

The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States

Chen

¹ Liu

¹ Schwartz

C. S.

¹ Lin

H.-C.

¹ Cetola

J. D.

² Gu

https://orcid.org/0000-0002-3412-0794

³ Xue

National Center for Atmospheric Research, Boulder, Colorado, USA

Air Force Weather Agency, Omaha, Nebraska, USA

University of California, Los Angeles, Los Angeles, California, USA

19 11 2014

7 6 2709 2715

2014

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/

This article is available from https://gmd.copernicus.org/articles/7/2709/2014/gmd-7-2709-2014.html

The full text article is available as a PDF file from https://gmd.copernicus.org/articles/7/2709/2014/gmd-7-2709-2014.pdf

The Gridpoint Statistical Interpolation three-dimensional variational data assimilation (DA) system coupled with the Weather Research and Forecasting/Chemistry (WRF/Chem) model was utilized to improve aerosol forecasts and study aerosol direct and semi-direct radiative feedbacks during a US wild fire event. Assimilation of MODIS total 550 nm aerosol optical depth (AOD) retrievals clearly improved WRF/Chem forecasts of surface PM2.5 and organic carbon (OC) compared to the corresponding forecasts without aerosol data assimilation. The scattering aerosols in the fire downwind region typically cooled layers both above and below the aerosol layer and suppressed convection and clouds, which led to an average of 2% precipitation decrease during the fire week. This study demonstrated that, even with no input of fire emissions, AOD DA improved the aerosol forecasts and allowed a more realistic model simulation of aerosol radiative effects.

References 1

Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F.: Smoking rain clouds over the Amazon, Science, 303, 1337–1342, <a href="http://dx.doi.org/10.1126/science.1092779">https://doi.org/10.1126/science.1092779</a>, 2004.

Barnard, J. C., Fast, J. D., Paredes-Miranda, G., Arnott, W. P., and Laskin, A.: Technical Note: Evaluation of the WRF-Chem "Aerosol Chemical to Aerosol Optical Properties" Module using data from the MILAGRO campaign, Atmos. Chem. Phys., 10, 7325–7340, <a href="http://dx.doi.org/10.5194/acp-10-7325-2010">https://doi.org/10.5194/acp-10-7325-2010</a>, 2010.

Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E., and Hofmann, D. J.: Climate Forcing by Anthropogenic Aerosols, Science, 255, 423–430, <a href="http://dx.doi.org/10.1126/science.255.5043.423">https://doi.org/10.1126/science.255.5043.423</a>, 1992.

Chin, M., Savoie, D. L., Huebert, B. J., Bandy, A. R., Thornton, D. C., Bates, T. S., Quinn, P. K., Saltzman, E. S., and De Bruyn, W. J.: Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets, J. Geophys. Res.-Atmos., 105, 24689–24712, <a href="http://dx.doi.org/10.1029/2000jd900385">https://doi.org/10.1029/2000jd900385</a>, 2000.

Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N., Martin, R. V., Logan, J. A., Higurashi, A., and Nakajima, T.: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements, J. Atmos. Sci., 59, 461–483, <a href="http://dx.doi.org/10.1175/1520-0469(2002)059<0461:Taotft>2.0.Co;2">https://doi.org/10.1175/1520-0469(2002)059<0461:Taotft>2.0.Co;2</a>, 2002.

Chou, M.-D. and Suarez, M. J.: An efficient thermal infrared radiation parameterization for use in general circulation models, NASA Tech. Memo., TM 104606, Vol. 3, 25 pp., NASA Goddard Space Flight Cent., Greenbelt, Md, 1994.

Collins, W. D., Rasch, P. J., Eaton, B. E., Khattatov, B. V., Lamarque, J. F., and Zender, C. S.: Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX, J. Geophys. Res.-Atmos., 106, 7313–7336, <a href="http://dx.doi.org/10.1029/2000jd900507">https://doi.org/10.1029/2000jd900507</a>, 2001.

Fast, J. D., Gustafson, W. I., Easter, R. C., Zaveri, R. A., Barnard, J. C., Chapman, E. G., Grell, G. A., and Peckham, S. E.: Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology-chemistry-aerosol model, J. Geophys Res.-Atmos., 111, D21305, <a href="http://dx.doi.org/10.1029/2005jd006721">https://doi.org/10.1029/2005jd006721</a>, 2006.

Grell, G. A. and Devenyi, D.: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques, Geophys. Res. Lett., 29, 1693, <a href="http://dx.doi.org/10.1029/2002gl015311">https://doi.org/10.1029/2002gl015311</a>, 2002.

Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled "online" chemistry within the WRF model, Atmos. Environ., 39, 6957–6975, <a href="http://dx.doi.org/10.1016/j.atmosenv.2005.04.027">https://doi.org/10.1016/j.atmosenv.2005.04.027</a>, 2005.

Grell, G., Freitas, S. R., Stuefer, M., and Fast, J.: Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts, Atmos. Chem. Phys., 11, 5289–5303, <a href="http://dx.doi.org/10.5194/acp-11-5289-2011">https://doi.org/10.5194/acp-11-5289-2011</a>, 2011.

Hansen, J., Sato, M., and Ruedy, R.: Radiative forcing and climate response, J. Geophys. Res.-Atmos., 102, 6831–6864, <a href="http://dx.doi.org/10.1029/96jd03436">https://doi.org/10.1029/96jd03436</a>, 1997.

Jacobson, M. Z.: Control of fossil-fuel particulate black carbon and organic matter, possibly the most effective method of slowing global warming, J. Geophys. Res., 107, 4410, <a href="http://dx.doi.org/10.1029/2001JD001376">https://doi.org/10.1029/2001JD001376</a>, 2002.

Jiang, Z. Q., Liu, Z. Q., Wang, T. J., Schwartz, C. S., Lin, H. C., and Jiang, F.: Probing into the impact of 3DVAR assimilation of surface PM10 observations over China using process analysis, J. Geophys. Res.-Atmos., 118, 6738–6749, <a href="http://dx.doi.org/10.1002/Jgrd.50495">https://doi.org/10.1002/Jgrd.50495</a>, 2013.

Kahnert, M.: On the observability of chemical and physical aerosol properties by optical observations: Inverse modeling with variational data assimilation, Tellus B, 61, 747–755, 2009.

Kaufman, Y. J. and Koren, I.: Smoke and pollution aerosol effect on cloud cover, Science, 313, 655–658, <a href="http://dx.doi.org/10.1126/science.1126232">https://doi.org/10.1126/science.1126232</a>, 2006.

Kiehl, J. T. and Briegleb, B. P.: The Relative Roles of Sulfate Aerosols and Greenhouse Gases in Climate Forcing, Science, 260, 311–314, <a href="http://dx.doi.org/10.1126/science.260.5106.311">https://doi.org/10.1126/science.260.5106.311</a>, 1993.

Kim, S.-W., McKeen, S. A., Frost, G. J., Lee, S.-H., Trainer, M., Richter, A., Angevine, W. M., Atlas, E., Bianco, L., Boersma, K. F., Brioude, J., Burrows, J. P., de Gouw, J., Fried, A., Gleason, J., Hilboll, A., Mellqvist, J., Peischl, J., Richter, D., Rivera, C., Ryerson, T., te Lintel Hekkert, S., Walega, J., Warneke, C., Weibring, P., and Williams, E.: Evaluations of NOx and highly reactive VOC emission inventories in Texas and their implications for ozone plume simulations during the Texas Air Quality Study 2006, Atmos. Chem. Phys., 11, 11361–11386, <a href="http://dx.doi.org/10.5194/acp-11-11361-2011">https://doi.org/10.5194/acp-11-11361-2011</a>, 2011.

Koren, I., Kaufman, Y. J., Remer, L. A., and Martins, J. V.: Measurement of the effect of Amazon smoke on inhibition of cloud formation, Science, 303, 1342–1345, <a href="http://dx.doi.org/10.1126/science.1089424">https://doi.org/10.1126/science.1089424</a>, 2004.

Koren, I., Martins, J. V., Remer, L. A., and Afargan, H.: Smoke invigoration versus inhibition of clouds over the Amazon, Science, 321, 946–949, <a href="http://dx.doi.org/10.1126/science.1159185">https://doi.org/10.1126/science.1159185</a>, 2008.

Liu, Z. Q., Liu, Q. H., Lin, H. C., Schwartz, C. S., Lee, Y. H., and Wang, T. J.: Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia, J. Geophys. Res.-Atmos., 116, D23206, <a href="http://dx.doi.org/10.1029/2011jd016159">https://doi.org/10.1029/2011jd016159</a>, 2011.

Prins, E. M., Feltz, J. M., Menzel, W. P., and Ward, D. E.: An overview of GOES-8 diurnal fire and smoke results for SCAR-B and 1995 fire season in South America, J. Geophys. Res.-Atmos., 103, 31821–31835, <a href="http://dx.doi.org/10.1029/98jd01720">https://doi.org/10.1029/98jd01720</a>, 1998.

Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., and Andreae, M. O.: Flood or drought: How do aerosols affect precipitation?, Science, 321, 1309–1313, <a href="http://dx.doi.org/10.1126/science.1160606">https://doi.org/10.1126/science.1160606</a>, 2008.

Schwartz, C. S., Liu, Z. Q., Lin, H. C., and McKeen, S. A.: Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth, J. Geophys. Res.-Atmos., 117, D13202, <a href="http://dx.doi.org/10.1029/2011jd017383">https://doi.org/10.1029/2011jd017383</a>, 2012.

Wilcox, E. M.: Direct and semi-direct radiative forcing of smoke aerosols over clouds, Atmos. Chem. Phys., 12, 139–149, <a href="http://dx.doi.org/10.5194/acp-12-139-2012">https://doi.org/10.5194/acp-12-139-2012</a>, 2012.

Wu, W. S., Purser, R. J., and Parrish, D. F.: Three-dimensional variational analysis with spatially inhomogeneous covariances, Mon. Weather Rev., 130, 2905–2916, <a href="http://dx.doi.org/10.1175/1520-0493(2002)130<2905:Tdvaws>2.0.Co;2">https://doi.org/10.1175/1520-0493(2002)130<2905:Tdvaws>2.0.Co;2</a>, 2002.

Wu, L. T., Su, H., and Jiang, J. H.: Regional simulations of deep convection and biomass burning over South America: 2. Biomass burning aerosol effects on clouds and precipitation, J. Geophys. Res.-Atmos., 116, D17209, <a href="http://dx.doi.org/10.1029/2011jd016106">https://doi.org/10.1029/2011jd016106</a>, 2011.

Zhao, C., Liu, X., Ruby Leung, L., and Hagos, S.: Radiative impact of mineral dust on monsoon precipitation variability over West Africa, Atmos. Chem. Phys., 11, 1879–1893, <a href="http://dx.doi.org/10.5194/acp-11-1879-2011">https://doi.org/10.5194/acp-11-1879-2011</a>, 2011.