Applying Advanced Ground-Based Remote Sensing in the Southeast Asian Maritime Continent to Characterize Regional Proficiencies in Smoke Transport Modeling

James R. Campbell * Naval Research Laboratory, Monterey, California

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Cui Ge Department of Atmospheric Sciences, University of Nebraska–Lincoln, Lincoln, Nebraska

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Jun Wang Department of Atmospheric Sciences, University of Nebraska–Lincoln, Lincoln, Nebraska

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Ellsworth J. Welton NASA Goddard Space Flight Center, Greenbelt, Maryland

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Anthony Bucholtz * Naval Research Laboratory, Monterey, California

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Edward J. Hyer * Naval Research Laboratory, Monterey, California

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Elizabeth A. Reid * Naval Research Laboratory, Monterey, California

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Boon Ning Chew Centre for Remote Imaging Sensing and Processing, National University of Singapore, Singapore

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Soo-Chin Liew Centre for Remote Imaging Sensing and Processing, National University of Singapore, Singapore

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Santo V. Salinas Centre for Remote Imaging Sensing and Processing, National University of Singapore, Singapore

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Simone Lolli Joint Center for Earth Systems Technology, Greenbelt, Maryland

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Kathleen C. Kaku ** Computer Sciences Corporation, Monterey, California

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Peng Lynch ** Computer Sciences Corporation, Monterey, California

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Mastura Mahmud National University of Malaysia, Bangi, Selangor, Malaysia

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Maznorizan Mohamad Environmental Studies Division, Malaysian Meteorological Department, Petaling Jaya, Selangor, Malaysia

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Brent N. Holben NASA Goddard Space Flight Center, Greenbelt, Maryland

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ABSTRACT

This work describes some of the most extensive ground-based observations of the aerosol profile collected in Southeast Asia to date, highlighting the challenges in simulating these observations with a mesoscale perspective. An 84-h WRF Model coupled with chemistry (WRF-Chem) mesoscale simulation of smoke particle transport at Kuching, Malaysia, in the southern Maritime Continent of Southeast Asia is evaluated relative to a unique collection of continuous ground-based lidar, sun photometer, and 4-h radiosonde profiling. The period was marked by relatively dry conditions, allowing smoke layers transported to the site unperturbed by wet deposition to be common regionally. The model depiction is reasonable overall. Core thermodynamics, including land/sea-breeze structure, are well resolved. Total model smoke extinction and, by proxy, mass concentration are low relative to observation. Smoke emissions source products are likely low because of undersampling of fires in infrared sun-synchronous satellite products, which is exacerbated regionally by endemic low-level cloud cover. Differences are identified between the model mass profile and the lidar profile, particularly during periods of afternoon convective mixing. A static smoke mass injection height parameterized for this study potentially influences this result. The model does not resolve the convective mixing of aerosol particles into the lower free troposphere or the enhancement of near-surface extinction from nighttime cooling and hygroscopic effects.

Corresponding author address: James R. Campbell, c/o Naval Research Laboratory, 7 Grace Hopper Ave. Stop 2, Monterey, CA 93943. E-mail: james.campbell@nrlmry.navy.mil

ABSTRACT

This work describes some of the most extensive ground-based observations of the aerosol profile collected in Southeast Asia to date, highlighting the challenges in simulating these observations with a mesoscale perspective. An 84-h WRF Model coupled with chemistry (WRF-Chem) mesoscale simulation of smoke particle transport at Kuching, Malaysia, in the southern Maritime Continent of Southeast Asia is evaluated relative to a unique collection of continuous ground-based lidar, sun photometer, and 4-h radiosonde profiling. The period was marked by relatively dry conditions, allowing smoke layers transported to the site unperturbed by wet deposition to be common regionally. The model depiction is reasonable overall. Core thermodynamics, including land/sea-breeze structure, are well resolved. Total model smoke extinction and, by proxy, mass concentration are low relative to observation. Smoke emissions source products are likely low because of undersampling of fires in infrared sun-synchronous satellite products, which is exacerbated regionally by endemic low-level cloud cover. Differences are identified between the model mass profile and the lidar profile, particularly during periods of afternoon convective mixing. A static smoke mass injection height parameterized for this study potentially influences this result. The model does not resolve the convective mixing of aerosol particles into the lower free troposphere or the enhancement of near-surface extinction from nighttime cooling and hygroscopic effects.

Corresponding author address: James R. Campbell, c/o Naval Research Laboratory, 7 Grace Hopper Ave. Stop 2, Monterey, CA 93943. E-mail: james.campbell@nrlmry.navy.mil
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  • Ackermann, I. J., H. Hass, M. Memmesheimer, A. Ebel, F. S. Binkowski, and U. Shankar, 1998: Modal aerosol dynamics model for Europe: Development and first applications. Atmos. Environ., 32, 29812999, doi:10.1016/S1352-2310(98)00006-5.

    • Search Google Scholar
    • Export Citation
  • Anderson, T. L., R. J. Charlson, D. M. Winker, J. A. Ogren, and K. Holmen, 2003: Mesoscale variations of tropospheric aerosols. J. Atmos. Sci., 60, 119136, doi:10.1175/1520-0469(2003)060<0119:MVOTA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Anderson, T. L., and Coauthors, 2005: An “A-Train” strategy for quantifying direct climate forcing by anthropogenic aerosols. Bull. Amer. Meteor. Soc., 86, 17951809, doi:10.1175/BAMS-86-12-1795.

    • Search Google Scholar
    • Export Citation
  • Ansmann, A., H. Baars, M. Tesche, D. Müller, D. Althausen, R. Engelmann, T. Pauliquevis, and P. Artaxo, 2009: Dust and smoke transport from Africa to South America: Lidar profiling over Cape Verde and the Amazon rainforest. Geophys. Res. Lett., 36, L11802, doi:10.1029/2009GL037923.

    • Search Google Scholar
    • Export Citation
  • Balis, D. S., and Coauthors, 2003: Raman lidar and sunphotometric measurements of aerosol optical properties over Thessaloniki, Greece during a biomass burning episode. Atmos. Environ., 37, 45294538, doi:10.1016/S1352-2310(03)00581-8.

    • Search Google Scholar
    • Export Citation
  • Banta, R. M., and Coauthors, 2005: A bad air day in Houston. Bull. Amer. Meteor. Soc., 86, 657669, doi:10.1175/BAMS-86-5-657.

  • Benedetti, A., and Coauthors, 2009: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation. J. Geophys. Res., 114, D13205, doi:10.1029/2008JD011115.

    • Search Google Scholar
    • Export Citation
  • Campbell, J. R., and Coauthors, 2013: Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007–2009 view from CALIOP. Atmos. Res., 122, 520543, doi:10.1016/j.atmosres.2012.05.007.

    • Search Google Scholar
    • Export Citation
  • Chapman, E. G., W. I. Gustafson Jr., R. C. Easter, J. C. Barnard, S. J. Ghan, M. S. Pekour, and J. D. Fast, 2009: Coupling aerosol–cloud–radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources. Atmos. Chem. Phys., 9, 945964, doi:10.5194/acp-9-945-2009.

    • Search Google Scholar
    • Export Citation
  • Cheng, Y. F., and Coauthors, 2008: Relative humidity dependence of aerosol optical properties and direct radiative forcing in the surface boundary layer at Xinken in Pearl River Delta of China: An observation based numerical study. Atmos. Environ., 42, 63736397, doi:10.1016/j.atmosenv.2008.04.009.

    • Search Google Scholar
    • Export Citation
  • Chew, B. N., J. R. Campbell, J. S. Reid, E. J. Welton, S. V. Salinas, and S. C. Liew, 2013: Aerosol particle properties and their vertical distribution over Singapore. Atmos. Environ., 79, 599613, doi:10.1016/j.atmosenv.2013.06.026.

    • Search Google Scholar
    • Export Citation
  • Chin, M., and Coauthors, 2002: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements. J. Atmos. Sci., 59, 461483, doi:10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Colarco, P. R., M. R. Schoeberl, B. G. Doddridge, L. T. Marufu, O. Torres, and E. J. Welton, 2004: Transport of smoke from Canadian forest fires to the surface near Washington, D.C.: Injection height, entrainment, and optical properties. J. Geophys. Res., 109, D06203, doi:10.1029/2003JD004248.

    • Search Google Scholar
    • Export Citation
  • Colarco, P. R., A. da Silva, M. Chin, and T. Diehl, 2010: Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth. J. Geophys. Res., 115, D14207, doi:10.1029/2009JD012820.

    • Search Google Scholar
    • Export Citation
  • Colarco, P. R., R. A. Khan, L. A. Remer, and R. C. Levy, 2014: Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends. Atmos. Meas. Tech., 7, 23132335, doi:10.5194/amt-7-2313-2014.

    • Search Google Scholar
    • Export Citation
  • Draxler, R. R., and G. D. Rolph, 2013: HYSPLIT—Hybrid Single Particle Lagrangian Integrated Trajectory Model. NOAA Air Resource Laboratory, accessed 1 June 2013. [Available online at http://www.arl.noaa.gov/HYSPLIT.php.]

  • Fernald, F. G., 1984: Analysis of atmospheric lidar observations: Some comments. Appl. Opt., 23, 652653, doi:10.1364/AO.23.000652.

  • Fuller, D. O., and K. Murphy, 2006: The ENSO–fire dynamic in insular Southeast Asia. Climatic Change, 74, 435455, doi:10.1007/s10584-006-0432-5.

    • Search Google Scholar
    • Export Citation
  • Ge, C., J. Wang, and J. S. Reid, 2014: Mesoscale modeling of smoke transport over the Southeast Asian Maritime Continent: Coupling of smoke direct radiative feedback below and above low-level clouds. Atmos. Chem. Phys., 14, 159174, doi:10.5194/acp-14-159-2014.

    • Search Google Scholar
    • Export Citation
  • Gettelman, A., and P. M. de F. Forster, 2002: A climatology of the tropical tropopause layer. J. Meteor. Soc. Japan, 80, 911924, doi:10.2151/jmsj.80.911.

    • Search Google Scholar
    • Export Citation
  • Gettelman, A., P. M. de F. Forster, M. Fujiwara, Q. Fu, H. Vomel, L. K. Gohar, C. Johanson, and M. Ammerman, 2004: Radiation balance of the tropical tropopause layer. J. Geophys. Res., 109, D07103, doi:10.1029/2003JD004190.

    • Search Google Scholar
    • Export Citation
  • Ghan, S. J., and S. E. Schwartz, 2007: Aerosol properties and processes: A path from field and laboratory measurements to global climate models. Bull. Amer. Meteor. Soc., 88, 10591083, doi:10.1175/BAMS-88-7-1059.

    • Search Google Scholar
    • Export Citation
  • Grell, G. A., and D. Devenyi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 38-138-4, doi:10.1029/2002GL015311.

    • Search Google Scholar
    • Export Citation
  • Grell, G. A., S. E. Peckham, R. Schmitz, S. A. McKeen, G. Frost, W. C. Skamarock, and B. Eder, 2005: Fully coupled “online” chemistry within the WRF model. Atmos. Environ., 39, 69576975, doi:10.1016/j.atmosenv.2005.04.027.

    • Search Google Scholar
    • Export Citation
  • Guenther, A., P. Zimmerman, and M. Wildermuth, 1994: Natural volatile organic compound emission rate estimates for U.S. woodland landscapes. Atmos. Environ., 28, 11971210, doi:10.1016/1352-2310(94)90297-6.

    • Search Google Scholar
    • Export Citation
  • Holben, B. N., and Coauthors, 1998: AERONET—A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ., 66, 116, doi:10.1016/S0034-4257(98)00031-5.

    • Search Google Scholar
    • Export Citation
  • Hollingsworth, A., R. J. Engelen, A. Benedetti, A. Dethof, J. Felmming, J. W. Kaiser, J.-J. Morcrette, and A. J. Simmons, 2008: Toward a monitoring and forecasting system for atmospheric composition: The GEMS project. Bull. Amer. Meteor. Soc., 89, 11471164, doi:10.1175/2008BAMS2355.1.

    • Search Google Scholar
    • Export Citation
  • Holz, R. E., S. A. Ackerman, F. W. Nagle, R. Frey, S. Dutcher, R. E. Kuehn, M. A. Vaughan, and B. Baum, 2008: Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP. J. Geophys. Res., 113, D00A19, doi:10.1029/2008JD009837.

    • Search Google Scholar
    • Export Citation
  • Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 23182341, doi:10.1175/MWR3199.1.

    • Search Google Scholar
    • Export Citation
  • Hyer, E. J., and B. N. Chew, 2010: Aerosol transport model evaluation of an extreme smoke episode in Southeast Asia. Atmos. Environ., 44, 14221427, doi:10.1016/j.atmosenv.2010.01.043.

    • Search Google Scholar
    • Export Citation
  • Hyer, E. J., J. S. Reid, and J. Zhang, 2011: An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals. Atmos. Meas. Tech., 4, 379408, doi:10.5194/amt-4-379-2011.

    • Search Google Scholar
    • Export Citation
  • Hyer, E. J., J. S. Reid, E. M. Prins, J. P. Hoffman, C. C. Schmidt, J. I. Miettinen, and L. Giglio, 2013: Patterns of fire activity over Indonesia and Malaysia from polar and geostationary satellite observations. Atmos. Res., 122, 504519, doi:10.1016/j.atmosres.2012.06.011.

    • Search Google Scholar
    • Export Citation
  • Jensen, E. J., A. S. Ackerman, and J. A. Smith, 2007: Can overshooting convection dehydrate the tropical tropopause layer? J. Geophys. Res., 112, D11209, doi:10.1029/2006JD007943.

    • Search Google Scholar
    • Export Citation
  • Johnson, B. T., K. P. Shine, and P. M. Forster, 2004: The semi-direct aerosol effect: Impact of absorbing aerosol on marine stratocumulus. Quart. J. Roy. Meteor. Soc., 130, 14071422, doi:10.1256/qj.03.61.

    • Search Google Scholar
    • Export Citation
  • King, M. D., and Coauthors, 2003: Cloud and aerosol properties, precipitable water and profiles of temperature and water vapor from MODIS. IEEE Trans. Geosci. Remote Sens., 41, 442458, doi:10.1109/TGRS.2002.808226.

    • Search Google Scholar
    • Export Citation
  • Kinne, S., and Coauthors, 2005: An AeroCom initial assessment—Optical properties in aerosol component modules of global models. Atmos. Chem. Phys., 5, 82858330, doi:10.5194/acpd-5-8285-2005.

    • Search Google Scholar
    • Export Citation
  • Koffi, B., and Coauthors, 2012: Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results. J. Geophys. Res., 117, D10201, doi:10.1029/2011JD016858.

    • Search Google Scholar
    • Export Citation
  • Langmann, B., A. Folch, M. Hensch, and V. Matthias, 2012: Volcanic ash over Europe during the eruption of Eyjafjallajökull on Iceland, April–May 2010. Atmos. Environ., 48, 18, doi:10.1016/j.atmosenv.2011.03.054.

    • Search Google Scholar
    • Export Citation
  • Langner, A. J., F. Miettinen, and F. Siegert, 2007: Land cover change 2002–2005 in Borneo and the role of fire derived from MODIS imagery. Global Change Biol., 13, 23292340, doi:10.1111/j.1365-2486.2007.01442.x.

    • Search Google Scholar
    • Export Citation
  • Li, A., and Coauthors, 2009: Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: A review and perspective. Ann. Geophys., 27, 27552770, doi:10.5194/angeo-27-2755-2009.

    • Search Google Scholar
    • Export Citation
  • Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 10651092, doi:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Liu, Y., and Coauthors, 2008: The operational mesogamma-scale analysis and forecast system of the U.S. Army Test and Evaluation Command. Part 1: Overview of the modeling system, the forecast products. J. Appl. Meteor. Climatol., 47, 10771092, doi:10.1175/2007JAMC1653.1.

    • Search Google Scholar
    • Export Citation
  • Lohmann, U., J. Quaas, S. Kinne, and J. Feichter, 2007: Different approaches for constraining global climate models of the anthropogenic indirect aerosol effect. Bull. Amer. Meteor. Soc., 88, 243249, doi:10.1175/BAMS-88-2-243.

    • Search Google Scholar
    • Export Citation
  • Lolli, S., L. Sauvage, S. Loaec, and M. Lardier, 2011: EZ Lidar: A new compact autonomous eye-safe scanning aerosol lidar for extinction measurements and PBL height detection: Validation of the performances against other instruments and intercomparison campaigns. Opt. Pura Apl., 44, 3341.

    • Search Google Scholar
    • Export Citation
  • Magi, B. I., P. Ginoux, Y. Ming, and V. Ramaswamy, 2009: Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model. J. Geophys. Res., 114, D14204, doi:10.1029/2008JD011128.

    • Search Google Scholar
    • Export Citation
  • Mahmud, M., 2009: Mesoscale model simulation of low level equatorial winds over Borneo during the haze episode of September 1997. J. Earth Syst. Sci., 118, 295307, doi:10.1007/s12040-009-0032-7.

    • Search Google Scholar
    • Export Citation
  • Mahmud, M., 2013: Assessment of atmospheric impacts of biomass open burning in Kalimantan, Borneo during 2004. Atmos. Environ., 78, 242249, doi:10.1016/j.atmosenv.2012.03.019.

    • Search Google Scholar
    • Export Citation
  • McFarquhar, G. M., A. J. Heymsfield, J. Spinhirne, and B. Hart, 2000: Thin and subvisual tropopause tropical cirrus: Observations and radiative impacts. J. Atmos. Sci., 57, 18411853, doi:10.1175/1520-0469(2000)057<1841:TASTTC>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Miettinen, J., and S. C. Liew, 2009: Burn-scar patterns and their effect on regional burnt-area mapping in insular South-east Asia. Int. J. Wildland Fire, 18, 837847, doi:10.1071/WF08102.

    • Search Google Scholar
    • Export Citation
  • Miettinen, J., and S. C. Liew, 2010: Degradation and development of peatlands in Peninsular Malaysia and in the islands of Sumatra and Borneo since 1990. Land Degrad. Dev., 21, 285296, doi:10.1002/ldr.976.

    • Search Google Scholar
    • Export Citation
  • Miettinen, J., C. Shi, and S. C. Liew, 2011: Influence of peatland and land cover distribution on fire regimes in insular Southeast Asia. Reg. Environ. Change, 11, 191201, doi:10.1007/s10113-010-0131-7.

    • Search Google Scholar
    • Export Citation
  • Miettinen, J., E. Hyer, A. S. Chia, L. K. Kwoh, and S. C. Liew, 2013: Detection of vegetation fires and burnt areas by remote sensing in insular Southeast Asian conditions: Current status of knowledge and future challenges. Int. J. Remote Sens., 34, 43444366, doi:10.1080/01431161.2013.777489.

    • Search Google Scholar
    • Export Citation
  • Morcrette, J.-J., and Coauthors, 2009: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: Forward modeling. J. Geophys. Res., 114, D06206, doi:10.1029/2008JD011235.

    • Search Google Scholar
    • Export Citation
  • Mu, M., and Coauthors, 2011: Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide. J. Geophys. Res., 116, D24303, doi:10.1029/2011JD016245.

    • Search Google Scholar
    • Export Citation
  • Müller, D., I. Mattis, U. Wandinger, A. Ansmann, D. Althausen, and A. Stohl, 2005: Raman lidar observations of aged Siberian and Canadian forest fire smoke in the free troposphere over Germany in 2003: Microphysical particle characterization. J. Geophys. Res., 110, D17201, doi:10.1029/2004JD005756.

    • Search Google Scholar
    • Export Citation
  • Noh, Y. M., Y. J. Kim, B. C. Choi, and T. Murayama, 2007: Aerosol lidar ratio characteristics measured by a multi-wavelength Raman lidar system at Anmyeon Island, Korea. Atmos. Res., 86, 7687, doi:10.1016/j.atmosres.2007.03.006.

    • Search Google Scholar
    • Export Citation
  • O’Dowd, C., and Coauthors, 2012: The Eyjafjallajökull ash plume—Part II: Forecasting the plume dispersion. Atmos. Environ., 48, 143151, doi:10.1016/j.atmosenv.2011.10.037.

    • Search Google Scholar
    • Export Citation
  • O’Neill, N. T., T. F. Eck, A. Smirnov, B. N. Holben, and S. Thulasiraman, 2003: Spectral discrimination of coarse and fine mode optical depth. J. Geophys. Res., 108, 4559, doi:10.1029/2002JD002975.

    • Search Google Scholar
    • Export Citation
  • Page, S. E., F. Siegert, J. O. Rieley, H.-D. V. Boehm, A. Jaya, S. Limin, 2002: The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature, 420, 6165, doi:10.1038/nature01131.

    • Search Google Scholar
    • Export Citation
  • Pérez, C., S. Nickovic, G. Pejanovic, J. M. Baldasano, and E. Ӧzsoy, 2006: Interactive dust-radiation modeling: A step to improve weather forecasts. J. Geophys. Res., 111, D16206, doi:10.1029/2005JD006717.

    • Search Google Scholar
    • Export Citation
  • Peterson, D. A., E. J. Hyer, J. R. Campbell, M. D. Fromm, J. W. Hair, C. F. Butler, and M. A. Fenn, 2015: The 2013 Rim Fire: Implications for predicting extreme fire spread, pyroconvection, and smoke emission. Bull. Amer. Meteor. Soc., 96, 229247, doi:10.1175/BAMS-D-14-00060.1.

    • Search Google Scholar
    • Export Citation
  • Reid, J. S., T. F. Eck, S. A. Christopher, P. V. Hobbs, and B. Holben, 1999: Use of the Ångstrom exponent to estimate the variability of optical and physical properties of aging smoke particles in Brazil. J. Geophys. Res., 104, 27 47327 489, doi:10.1029/1999JD900833.

    • Search Google Scholar
    • Export Citation
  • Reid, J. S., R. Koppmann, T. Eck, and D. Eleuterio, 2005: A review of biomass burning emissions part II: Intensive physical properties of biomass burning particles. Atmos. Chem. Phys., 5, 799825, doi:10.5194/acp-5-799-2005.

    • Search Google Scholar
    • Export Citation
  • Reid, J. S., and Coauthors, 2009: Global monitoring and forecasting of biomass burning smoke: Description and lessons from the Fire Locating and Modeling of Burning Emissions (FLAMBE) program. IEEE J. Sel. Top. Appl. Remote Sens., 2, 144162, doi:10.1109/JSTARS.2009.2027443.

    • Search Google Scholar
    • Export Citation
  • Reid, J. S., and Coauthors, 2012: Multi-scale meteorological conceptual analysis of observed active fire hotspot activity and smoke optical depth in the Maritime Continent. Atmos. Chem. Phys., 12, 21172147, doi:10.5194/acp-12-2117-2012.

    • Search Google Scholar
    • Export Citation
  • Reid, J. S., and Coauthors, 2013: Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program. Atmos. Res., 122, 403468, doi:10.1016/j.atmosres.2012.06.005.

    • Search Google Scholar
    • Export Citation
  • Salinas, S. V., B. N. Chew, and S. C. Liew, 2009: Retrievals of aerosol optical depth and Ångström exponent from ground-based Sun-photometer data of Singapore. Appl. Opt., 48, 14731484, doi:10.1364/AO.48.001473.

    • Search Google Scholar
    • Export Citation
  • Salinas, S. V., B. N. Chew, J. Miettinen, J. R. Campbell, E. J. Welton, J. S. Reid, L. E. Yu, and S. C. Liew, 2013: Physical and optical characteristics of the October 2010 haze event over Singapore: A photometric and lidar analysis. Atmos. Res., 122, 555570, doi:10.1016/j.atmosres.2012.05.021.

    • Search Google Scholar
    • Export Citation
  • Sarvision, 2011. Impact of oil palm plantations on peatland conversion in Sarawak 2005–2010, 16 pp. [Available online at http://www.wetlands.org/Portals/0/publications/Report/Sarvision%20Sarawak%20Report%20Final%20for%20Web.pdf.]

  • Schell, B., I. J. Ackermann, H. Hass, F. S. Binkowski, and A. Ebel, 2001: Modeling the formation of secondary organic aerosol within a comprehensive air quality model system. J. Geophys. Res., 106, 28 27528 293, doi:10.1029/2001JD000384.

    • Search Google Scholar
    • Export Citation
  • Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schmidt, J. T. Morisette, and D. Morton, 2008: Validation of GOES and MODIS active fire detection products using ASTER and ETM+. Remote Sens. Environ., 112, 27112726, doi:10.1016/j.rse.2008.01.005.

    • Search Google Scholar
    • Export Citation
  • See, S. W., R. Balasubramanian, and W. Wang, 2006: A study of the physical, chemical, and optical properties of ambient aerosol particles in Southeast Asia during hazy and nonhazy days. J. Geophys. Res., 111, D10S08, doi:10.1029/2005JD006180.

    • Search Google Scholar
    • Export Citation
  • Shi, Y., J. Zhang, J. S. Reid, B. Holben, E. J. Hyer, and C. Curtis, 2011: An analysis of the Collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation. Atmos. Chem. Phys., 11, 557565, doi:10.5194/acp-11-557-2011.

    • Search Google Scholar
    • Export Citation
  • Song, C. H., and Coauthors, 2008: An investigation into seasonal and regional aerosol characteristics in East Asia using model-predicted and remotely-sensed aerosol properties. Atmos. Chem. Phys., 8, 66276654, doi:10.5194/acp-8-6627-2008.

    • Search Google Scholar
    • Export Citation
  • Stauffer, D. R., and N. L. Seaman, 1994: Multiscale four-dimensional data assimilation. J. Appl. Meteor., 33, 416434, doi:10.1175/1520-0450(1994)033<0416:MFDDA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Stephens, G. L., and Coauthors, 2002: The CloudSat mission and the A-Train. Bull. Amer. Meteor. Soc., 83, 17711790, doi:10.1175/BAMS-83-12-1771.

    • Search Google Scholar
    • Export Citation
  • Stockwell, W. R., P. Middleton, J. S. Chang, and X. Tang, 1990: The second generation regional acid deposition model chemical mechanism for regional air quality modeling. J. Geophys. Res., 95, 16 34316 367, doi:10.1029/JD095iD10p16343.

    • Search Google Scholar
    • Export Citation
  • Turk, F. J., and S. Miller, 2005: Toward improving estimates of remotely-sensed precipitation with MODIS/AMSR-E blended data techniques. IEEE Trans. Geosci. Remote Sens., 43, 10591069, doi:10.1109/TGRS.2004.841627.

    • Search Google Scholar
    • Export Citation
  • Turk, F. J., and P. Xian, 2013: An assessment of satellite-based high resolution precipitation datasets for atmospheric composition studies in the Maritime Continent. Atmos. Res., 122, doi:10.1016/j.atmosres.2012.02.017.

    • Search Google Scholar
    • Export Citation
  • Wang, J., and S. A. Christopher, 2006: Mesoscale modeling of Central American smoke transport to the United States: 2. Smoke radiative impact on regional surface energy budget and boundary layer evolution. J. Geophys. Res., 111, D14S92, doi:10.1029/2005JD006720.

    • Search Google Scholar
    • Export Citation
  • Wang, J., S. A. Christopher, U. S. Nair, J. S. Reid, E. M. Prins, J. Szykman, and J. L. Hand, 2006: Mesoscale modeling of Central American smoke transport to the United States: 1. “Top-down” assessment of emission strength and diurnal variation impacts. J. Geophys. Res., 111, D05S17, doi:10.1029/2005JD006416.

    • Search Google Scholar
    • Export Citation
  • Wang, J., and Coauthors, 2013: Mesoscale modeling of smoke transport over the Southeast Asian Maritime Continent: Interplay of sea breeze, trade wind, typhoon, and topography. Atmos. Res., 122, 486503, doi:10.1016/j.atmosres.2012.05.009.

    • Search Google Scholar
    • Export Citation
  • Wang, X, and Coauthors, 2010: WRF-Chem simulation of East Asian air quality: Sensitivity to temporal and vertical emissions distributions. Atmos. Environ., 44, 660669, doi:10.1016/j.atmosenv.2009.11.011.

    • Search Google Scholar
    • Export Citation
  • Welton, E., J. R. Campbell, J. D. Spinhirne, and V. Stanley Scott III, 2001: Global monitoring of clouds and aerosols using a network of micropulse lidar systems. Tropospheric Aerosols and Clouds I, U. Singh, T. Itabe, and N. Sugimoto, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 4153), 151–158, doi:10.1117/12.417040.

    • Search Google Scholar
    • Export Citation
  • Wiedinmyer, C., S. K. Akagi, R. J. Yokelson, L. K. Emmons, J. A. Al-Saadi, J. J. Orlando, and A. J. Soja, 2011: The Fire Inventory from NCAR (FINN): A high resolution global model to estimate the emissions from open burning. Geosci. Model Dev., 4, 625641, doi:10.5194/gmd-4-625-2011.

    • Search Google Scholar
    • Export Citation
  • Winker, D. M., and Coauthors, 2010: The CALIPSO mission: A global 3D view of aerosols and clouds. Bull. Amer. Meteor. Soc., 91, 12111229, doi:10.1175/2010BAMS3009.1.

    • Search Google Scholar
    • Export Citation
  • Wong, M. S., X. Fei, J. Nichol, J. Fung, J. Kim, J. R. Campbell, and P. W. Chan, 2015: A multi-scale hybrid neural network retrieval model for dust storm detection, a study in Asia. Atmos. Res., 158–159, 89106, doi:10.1016/j.atmosres.2015.02.006.

    • Search Google Scholar
    • Export Citation
  • Xian, P., J. S. Reid, J. F. Turk, E. J. Hyer, and D. L. Westphal, 2009: Impact of modeled versus satellite measured tropical precipitation on regional smoke optical thickness in an aerosol transport model. Geophys. Res. Lett., 36, L16805, doi:10.1029/2009GL038823.

    • Search Google Scholar
    • Export Citation
  • Xian, P., J. S. Reid, S. A. Atwood, R. S. Johnson, E. J. Hyer, D. L. Westphal, and W. Sessions, 2013: Smoke aerosol transport patterns over the Maritime Continent. Atmos. Res., 122, 469485, doi:10.1016/j.atmosres.2012.05.006.

    • Search Google Scholar
    • Export Citation
  • Yin, Y., K. S. Carslaw, and G. Feingold, 2005: Vertical transport and processing of aerosols in a mixed-phase convective cloud and the feedback on cloud development. Quart. J. Roy. Meteor. Soc., 131, 221245, doi:10.1256/qj.03.186.

    • Search Google Scholar
    • Export Citation
  • Zhang, C., 2013: Madden–Julian oscillation: Bridging weather and climate. Bull. Amer. Meteor. Soc., 94, 18491870, doi:10.1175/BAMS-D-12-00026.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., and J. S. Reid, 2006: MODIS aerosol product analysis for data assimilation: Assessment of over-ocean level 2 aerosol optical thickness retrievals. J. Geophys. Res., 111, D22207, doi:10.1029/2005JD006898.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., and J. S. Reid, 2010: A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products. Atmos. Chem. Phys., 10, 10 94910 963, doi:10.5194/acp-10-10949-2010.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., J. S. Reid, D. L. Westphal, N. L. Baker, and E. J. Hyer, 2008: A system for operational aerosol optical depth assimilation over global oceans. J. Geophys. Res., 113, D10208, doi:10.1029/2007JD009065.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., J. R. Campbell, J. S. Reid, D. L. Westphal, N. L. Baker, W. F. Campbell, and E. J. Hyer, 2011: Evaluating the impact of assimilating CALIOP‐derived aerosol extinction profiles on a global mass transport model. Geophys. Res. Lett., 38, L14801, doi:10.1029/2011GL047737.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., J. R. Campbell, E. J. Hyer, J. S. Reid, D. L. Westphal, and R. Johnson, 2014: Evaluating the impact of multisensor data assimilation on a global aerosol particle transport model. J. Geophys. Res., 119, 46744689, doi:10.1002/2013JD020975.

    • Search Google Scholar
    • Export Citation
  • Zhang, Q., and Coauthors, 2009: Asian emissions in 2006 for the NASA INTEX-B mission. Atmos. Chem. Phys., 9, 51315153, doi:10.5194/acp-9-5131-2009.

    • Search Google Scholar
    • Export Citation
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