IMPROVE Data Publications

IMPROVE Bibliography

2010 to 2022

Recent peer-reviewed publications that use data from the IMPROVE network.
  • Aldhaif, A. M., Lopez, D. H., Dadashazar, H., and Sorooshian, A. (2020), Sources, frequency, and chemical nature of dust events impacting the United States East Coast, Atmospheric Environment, 231, doi:10.1016/j.atmosenv.2020.117456. 
  • Appel, K. W., Pouliot, G. A., Simon, H., Sarwar, G., Pye, H. O. T., Napelenok, S. L., Akhtar, F., and Roselle, S. J. (2013), Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0, Geoscientific Model Development, 6(4), 883-899. 
  • Bahadur, R., Feng, Y., Russell, L. M., and Ramanathan, V. (2011), Impact of California's air pollution laws on black carbon and their implications for direct radiative forcing, Atmospheric Environment, 45(5), 1162-1167. 
  • Bahadur, R., Feng, Y., Russell, L. M., and Ramanathan, V. (2011), Response to comments on "Impact of California's air pollution laws on black carbon and their implications for direct radiative forcing" by R. Bahadur et al, Atmospheric Environment, 45(24), 4119-4121. 
  • Bell, S. W., Hansell, R. A., Chow, J. C., Tsay, S. C., Wang, S. H., Ji, Q., Li, C., Watson, J. G., and Khlystov, A. Y. (2013), Constraining aerosol optical models using ground-based, collocated particle size and mass measurements in variable air mass regimes during the 7-SEAS/Dongsha experiment, Atmospheric Environment, 78, 163-173.
  • Bergen, S., Sheppard, L., Sampson, P. D., Kim, S. Y., Richards, M., Vedal, S., Kaufman, J. D., and Szpiro, A. A. (2013), A national prediction model for PM2.5 component exposures and measurement error-corrected health effect inference, Environ. Health Perspect, 121(9), 1017-1025, http://ehp.niehs.nih.gov/wp-content/uploads/121/9/ehp.1206010.pdf
  • Berkowitz, C. M., Berg, L. K., Yu, X. Y., Alexander, M. L., Laskin, A., Zaveri, R. A., Jobson, B. T., Andrews, E., and Ogren, J. A. (2011), The influence of fog and airmass history on aerosol optical, physical and chemical properties at Pt. Reyes National Seashore, Atmospheric Environment, 45(15), 2559-2568. 
  • Bian, Q. J., Ford, B., Pierce, J. R., and Kreidenweis, S. M. (2020), A cecadal climatology of chemical, physical, and optical properties of ambient smoke in the western and southeastern United States, Journal of Geophysical Research-Atmospheres, 125(1), doi:10.1029/2019jd031372. 
  • Blanchard, C. L., Tanenbaum, S., and Hidy, G. M. (2014), Spatial and temporal variability of air pollution in Birmingham, Alabama, Atmospheric Environment, 89, 382-391. 
  • Blanchard, C. L., Tanenbaum, S., and Motallebi, N. (2011), Spatial and temporal characterization of PM2.5 mass concentrations in California, 1980-2007, Journal of the Air & Waste Management Association, 61(3), 339-351. 
  • Buchard, V., da Silva, A. M., Randles, C. A., Colarco, P., Ferrare, R., Hair, J., Hostetler, C., Tackett, J., and Winker, D. (2016), Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States, Atmospheric Environment, 125, 100-111, doi:10.1016/j.atmosenv.2015.11.004. 
  • Bürki, C., Reggente, M., M. Dillner, A., L. Hand, J., L. Shaw, S., and Takahama, S. (2020), Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: Method development for probabilistic modeling of organic carbon and organic matter concentrations, Atmospheric Measurement Techniques, 13(3), 1517-1538, doi:10.5194/amt-13-1517-2020.
  • Carter, T. S., Heald, C. L., Jimenez, J. L., Campuzano-Jost, P., Kondo, Y., Moteki, N., Schwarz, J. P., Wiedinmyer, C., Darmenov, A. S., da Silva, A. M., and Kaiser, J. W. (2020), How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America, Atmospheric Chemistry and Physics, 20(4), 2073-2097, doi:10.5194/acp-20-2073-2020. 
  • Castaneda, C. M., Ashbaugh, L. L., and Wakabayashi, P. (2010), Use of proton backscattering to determine the carbon and oxygen content in fine particle samples deposited on PTFE((CF2)(n)) membrane disk filters, Journal of Aerosol Science, 41(1), 99-107. 
  • Chen, L.-W. A., Chow, J. C., Wang, X. L., Cao, J. J., Mao, J. Q., and Watson, J. G. (2021), Brownness of organic aerosol over the United States: Evidence for seasonal biomass burning and photobleaching effects, Environmental Science & Technology, 55(13), 8561-8572, doi:10.1021/acs.est.0c08706. 
  • Chen, L.-W. A., Chow, J. C., Watson, J. G., and Schichtel, B. A. (2012), Consistency of long-term elemental carbon trends from thermal and optical measurements in the IMPROVE network, Atmospheric Measurement Techniques, 5, 2329-2338, http://www.atmos-meas-tech.net/5/2329/2012/amt-5-2329-2012.pdf
  • Chen, L.-W. A., Malamakal, T., Wang, X. L., Green, M. C., Chow, J. C., and Watson, J. G. (2014), Evaluation of prescribed burning emissions and impacts on air quality in the Lake Tahoe basin, Desert Research Institute, Reno, NV, http://www.fs.fed.us/psw/partnerships/tahoescience/documents/p076_PrescribedBurningReport_20141231.pdf
  • Chen, L.-W. A., Watson, J. G., Chow, J. C., DuBois, D. W., and Herschberger, L. (2011), PM2.5 source apportionment:  Reconciling receptor models for U.S. non-urban and urban long-term networks, Journal of the Air & Waste Management Association, 61(11), 1204-1217, http://www.tandfonline.com/doi/pdf/10.1080/10473289.2011.619082
  • Chen, L.-W. A., Watson, J. G., Chow, J. C., DuBois, D. W., and Herschberger, L. (2012), Chemical mass balance source apportionment for combined PM2.5 measurements from U.S. non-urban and urban long-term networks (vol 44, pg 4908, 2010), Atmospheric Environment, 51, 335-335. 
  • Chen, X., Day, D., Schichtel, B., Malm, W., Matzoll, A. K., Mojica, J., McDade, C. E., Hardison, E. D., Hardison, D. L., Walters, S., De Water, M. V., and Collett, J. L. (2014), Seasonal ambient ammonia and ammonium concentrations in a pilot IMPROVE NHx monitoring network in the western United States, Atmospheric Environment, 91, 118-126. 
  • Chen, Y., Dombek, T., Hand, J., Zhang, Z., Gold, A., Ault, A. P., Levine, K. E., and Surratt, J. D. (2021), Seasonal Contribution of Isoprene-Derived Organosulfates to Total Water-Soluble Fine Particulate Organic Sulfur in the United States, ACS Earth and Space Chemistry, 5(9), 2419-2432, doi:10.1021/acsearthspacechem.1c00102. 
  • Chow, J. C., Chen, L.-W. A., Wang, X. L., Green, M. C., and Watson, J. G. (2021), Improved estimation of PM2.5 brown carbon contributions to filter light attenuation, Particuology, 56, 1-9, doi:10.1016/j.partic.2021.01.001. 
  • Chow, J. C., Lowenthal, D. H., Chen, L.-W. A., Wang, X. L., and Watson, J. G. (2015), Mass reconstruction methods for PM2.5:  A review, Air Quality, Atmosphere, and Health, 8, 243-263, http://link.springer.com/article/10.1007%2Fs11869-015-0338-3#page-1
  • Chow, J. C., Watson, J. G., Chen, L.-W. A., Rice, J., and Frank, N. H. (2010), Quantification of PM2.5 organic carbon sampling artifacts in US networks, Atmospheric Chemistry and Physics, 10(12), 5223-5239, http://www.atmos-chem-phys.net/10/5223/2010/acp-10-5223-2010.pdf
  • Chow, J. C., Watson, J. G., Green, M. C., and Frank, N. H. (2010), Filter light attenuation as a surrogate for elemental carbon, Journal of the Air & Waste Management Association, 60(11), 1365-1375, http://www.tandfonline.com/doi/pdf/10.3155/1047-3289.60.11.1365
  • Chow, J. C., Watson, J. G., Green, M. C., Wang, X. L., Chen, L.-W. A., Trimble, D. L., Cropper, P. M., Kohl, S. D., and Gronstal, S. B. (2018), Separation of brown carbon from black carbon for IMPROVE and CSN PM2.5 samples, Journal of the Air & Waste Management Association, 68(5), 494-510. 
  • Christiansen, A. E., Carlton, A. G., and Henderson, B. H. (2020), Differences in fine particle chemical composition on clear and cloudy days, Atmospheric Chemistry and Physics, 20(19), 11607-11624, doi:10.5194/acp-20-11607-2020. 
  • Christiansen, A. E., Carlton, A. G., and Porter, W. C. (2020), Changing nature of organic carbon over the United States, Environmental Science and Technology, 54(17), 10524-10532, doi:10.1021/acs.est.0c02225. 
  • Chuang, M. T., Chang, S. C., Lin, N. H., Wang, J. L., Sheu, G. R., Chang, Y. J., and Lee, C. T. (2013), Aerosol chemical properties and related pollutants measured in Dongsha Island in the northern South China Sea during 7-SEAS/Dongsha Experiment, Atmospheric Environment, 78, 82-92. 
  • Collaud-Coen, M. C., Andrews, E., Asmi, A., Baltensperger, U., Bukowiecki, N., Day, D., Fiebig, M., Fjaeraa, A. M., Flentje, H., Hyvarinen, A., Jefferson, A., Jennings, S. G., Kouvarakis, G., Lihavainen, H., Myhre, C. L., Malm, W. C., Mihapopoulos, N., Molenar, J. V., O'Dowd, C., Ogren, J. A., Schichtel, B. A., Sheridan, P., Virkkula, A., Weingartner, E., Weller, R., and Laj, P. (2013), Aerosol decadal trends - Part 1: In-situ optical measurements at GAW and IMPROVE stations, Atmospheric Chemistry and Physics, 13(2), 869-894. 
  • Creamean, J. M., Spackman, J. R., Davis, S. M., and White, A. B. (2014), Climatology of long-range transported Asian dust along the West Coast of the United States, Journal of Geophysical Research-Atmospheres, 119(21), 12171-12185. 
  • Dabek-Zlotorzynska, E., Dann, T. F., Martinelango, P. K., Celo, V., Brook, J. R., Mathieu, D., Ding, L. Y., and Austin, C. C. (2011), Canadian National Air Pollution Surveillance (NAPS) PM2.5 speciation program: Methodology and PM2.5 chemical composition for the years 2003-2008, Atmospheric Environment, 45(3), 673-686. 
  • Diaz-Robles, L. A., Moncada-Herrera, J., Etcharren, P., Araneda, N., Perez, I., and Schiappacasse P., N. (2010), Source apportionment of PM2.5 in Temuco, Chile, using factor analysis and IMPROVE sampling.  A seasonal analysis, in Proceedings, Leapfrogging Opportunities for Air Quality Improvement, edited by J. C. Chow, J. G. Watson and J. J. Cao, pp. 845-852, Air & Waste Management Association, Pittsburgh, PA. 
  • Dillner, A. M., and Takahama, S. (2015), Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: Organic carbon, Atmospheric Measurement Techniques, 8(3), 1097-1109, http://www.atmos-meas-tech.net/8/1097/2015/amt-8-1097-2015.pdf
  • Draxler, R. R., Ginoux, P., and Stein, A. F. (2010), An empirically derived emission algorithm for wind-blown dust, Journal of Geophysical Research-Atmospheres, 115
  • Drury, E., Jacob, D. J., Spurr, R. J. D., Wang, J., Shinozuka, Y., Anderson, B. E., Clarke, A. D., Dibb, J., McNaughton, C., and Weber, R. (2010), Synthesis of satellite (MODIS), aircraft (ICARTT), and surface (IMPROVE, EPA-AQS, AERONET) aerosol observations over eastern North America to improve MODIS aerosol retrievals and constrain surface aerosol concentrations and sources, Journal of Geophysical Research-Atmospheres, 115
  • Farina, S. C., Adams, P. J., and Pandis, S. N. (2010), Modeling global secondary organic aerosol formation and processing with the volatility basis set: Implications for anthropogenic secondary organic aerosol, Journal of Geophysical Research-Atmospheres, 115
  • Ford, B., and Heald, C. L. (2013), Aerosol loading in the Southeastern United States: reconciling surface and satellite observations, Atmospheric Chemistry and Physics, 13(18), 9269-9283. 
  • Gan, C. M., Pleim, J., Mathur, R., Hogrefe, C., Long, C. N., Xing, J., Roselle, S., and Wei, C. (2014), Assessment of the effect of air pollution controls on trends in shortwave radiation over the United States from 1995 through 2010 from multiple observation networks, Atmospheric Chemistry and Physics, 14(3), 1701-1715. 
  • Gantt, B., McDonald, K., Henderson, B., and Mannshardt, E. (2020), Incorporation of remote PM2.5 concentrations into the downscaler model for spatially fused air quality surfaces, Atmosphere, 11(1), doi:10.3390/ATMOS11010103. 
  • Gebhart, K. A., Day, D. E., Prenni, A. J., Schichtel, B. A., Hand, J. L., and Evanoski-Cole, A. R. (2018), Visibility impacts at Class I areas near the Bakken oil and gas development, Journal of the Air & Waste Management Association, 68(5), 477-493, doi:10.1080/10962247.2018.1429334. 
  • Gebhart, K. A., Schichtel, B. A., Malm, W. C., Barna, M. G., Rodriguez, M. A., and Collett, J. L., Jr. (2011), Back-trajectory-based source apportionment of airborne sulfur and nitrogen concentrations at Rocky Mountain National Park, Colorado, USA, Atmospheric Environment, 45(3), 621-633. 
  • Geiser, L. H., Jovan, S. E., Glavich, D. A., and Porter, M. K. (2010), Lichen-based critical loads for atmospheric nitrogen deposition in Western Oregon and Washington Forests, USA, Environ. Poll, 158(7), 2412-2421. 
  • Gong, W. M., Stroud, C., and Zhang, L. M. (2011), Cloud processing of gases and aerosols in air quality modeling, Atmosphere, 2(4), 567-616, http://www.mdpi.com/2073-4433/2/4/567
  • Gonzalez, M. E., Garfield, J. G., Corral, A. F., Edwards, E. L., Zeider, K., and Sorooshian, A. (2021), Extreme aerosol events at Mesa Verde, Colorado: Implications for air quality management, Atmosphere, 12(9), doi:10.3390/atmos12091140. 
  • Gordon, T. D., Prenni, A. J., Renfro, J. R., McClure, E., Hicks, B., Onasch, T. B., Freedman, A., McMeeking, G. R., and Chen, P. (2018), Open-path, closed-path, and reconstructed aerosol extinction at a rural site, Journal of the Air & Waste Management Association, 68(8), 824-835, doi:10.1080/10962247.2018.1452801. 
  • Gorham, K. A., Raffuse, S. M., Hyslop, N. P., and White, W. H. (2021), Comparison of recent speciated PM2.5 data from collocated CSN and IMPROVE measurements, Atmospheric Environment, 244, doi:10.1016/j.atmosenv.2020.117977. 
  • Green, M. C., Chen, L.-W. A., DuBois, D. W., and Molenar, J. V. (2012), Fine particulate matter and visibility in the Lake Tahoe Basin: Chemical characterization, trends, and source apportionment, Journal of the Air & Waste Management Association, 62(8), 953-965. 
  • Green, M. C., Chow, J. C., Watson, J. G., Dick, K., and Inouye, D. (2015), Effects of snow cover and atmospheric stability on winter PM2.5 concentrations in western US valleys, Journal of Applied Meteorology and Climatology, 54, 1191-1201, doi:dx.doi.org/10.1175/JAMC-D-14-0191.1. 
  • Guerrette, J. J., and Henze, D. K. (2017), Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem, Atmospheric Chemistry and Physics, 17(12), 7605-7633, doi:10.5194/acp-17-7605-2017. 
  • Gutknecht, W., Flanagan, J., McWilliams, A., Jayanty, R. K. M., Kellogg, R., Rice, J., Duda, P., and Sarver, R. H. (2010), Harmonization of uncertainties of x-ray fluorescence data for PM2.5 air filter analysis, Journal of the Air & Waste Management Association, 60(2), 184-194. 
  • Hadley, O. L. (2017), Background PM2.5 source apportionment in the remote Northwestern United States, Atmospheric Environment, 167, 298-308, doi:10.1016/j.atmosenv.2017.08.030. 
  • Hand, J., Prenni, A. J., Schichtel, B. A., Malm, W. C., and Copeland, S. (2017), Evaluation of the IMPROVE equation for reconstructing haze from speciated aerosol data, in Proceedings, Air and Waste Management Association's 110th Annual Conference and Exhibition, edited, Air and Waste Management Association, Pittsburgh, PA, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039172690&partnerID=40&md5=1419b5bf71771ce7e38304d8ca770229
  • Hand, J. L., Copeland, S. A., McDade, C. E., Day, D. E., Moore, J., C.T., Dillner, A. M., Pitchford, M. L., Indresand, H., Schichtel, B. A., Malm, W. C., and Watson, J. G. (2011), Spatial and seasonal patterns and temporal variability of haze and its constituents in the United States, IMPROVE Report V, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, http://vista.cira.colostate.edu/Improve/spatial-and-seasonal-patterns-and-temporal-variability-of-haze-and-its-constituents-in-the-united-states-report-v-june-2011/
  • Hand, J. L., Gebhart, K. A., Schichtel, B. A., and Malm, W. C. (2012), Increasing trends in wintertime particulate sulfate and nitrate ion concentrations in the Great Plains of the United States (2000-2010), Atmospheric Environment, 55, 107-110. 
  • Hand, J. L., Gill, T. E., and Schichtel, B. A. (2017), Spatial and seasonal variability in fine mineral dust and coarse aerosol mass at remote sites across the United States, Journal of Geophysical Research-Atmospheres, 122(5), 3080-3097, doi:10.1002/2016jd026290. 
  • Hand, J. L., Gill, T. E., and Schichtel, B. A. (2019), Urban and rural coarse aerosol mass across the United States: Spatial and seasonal variability and long-term trends, Atmospheric Environment, 218, doi:10.1016/j.atmosenv.2019.117025. 
  • Hand, J. L., Prenni, A. J., Copeland, S., Schichtel, B. A., and Malm, W. C. (2020), Thirty years of the Clean Air Act Amendments: Impacts on haze in remote regions of the United States (1990-2018), Atmospheric Environment, 243, doi:10.1016/j.atmosenv.2020.117865. 
  • Hand, J. L., Prenni, A. J., Schichtel, B. A., Malm, W. C., and Chow, J. C. (2019), Trends in remote PM2.5 residual mass across the United States: Implications for aerosol mass reconstruction in the IMPROVE network, Atmospheric Environment, 203, 141-152, doi:10.1016/j.atmosenv.2019.01.049. 
  • Hand, J. L., Schichtel, B. A., Malm, W. C., Copeland, S., Molenar, J. V., Frank, N. H., and Pitchford, M. L. (2014), Widespread reductions in haze across the United States from the early 1990s through 2011, Atmospheric Environment, 94, 671-679. 
  • Hand, J. L., Schichtel, B. A., Malm, W. C., and Frank, N. H. (2013), Spatial and temporal trends in PM2.5 organic and elemental carbon across the United States, Advances in Meteorology, 2013, 1-13, doi:10.1155/2013/367674. 
  • Hand, J. L., Schichtel, B. A., Malm, W. C., and Pitchford, M. L. (2012), Particulate sulfate ion concentration and SO2 emission trends in the United States from the early 1990s through 2010, Atmospheric Chemistry and Physics, 12(21), 10353-10365. 
  • Hand, J. L., Schichtel, B. A., Malm, W. C., Pitchford, M. L., and Frank, N. H. (2014), Spatial and seasonal patterns in urban influence on regional concentrations of speciated aerosols across the United States, Journal of Geophysical Research-Atmospheres, 119(22), 12832-12849. 
  • Hand, J. L., Schichtel, B. A., Pitchford, M. L., Malm, W. C., and Frank, N. H. (2012), Seasonal composition of remote and urban fine particulate matter in the United States, Journal of Geophysical Research-Atmospheres, 117
  • Hand, J. L., White, W. H., Gebhart, K. A., Hyslop, N. P., Gill, T. E., and Schichtel, B. A. (2016), Earlier onset of the spring fine dust season in the southwestern United States, Geophysical Research Letters, 43(8), 4001-4009, doi:10.1002/2016gl068519. 
  • Heald, C. L., Collett, J. L., Lee, T., Benedict, K. B., Schwandner, F. M., Li, Y., Clarisse, L., Hurtmans, D. R., Van Damme, M., Clerbaux, C., Coheur, P. F., Philip, S., Martin, R. V., and Pye, H. O. T. (2012), Atmospheric ammonia and particulate inorganic nitrogen over the United States, Atmospheric Chemistry and Physics, 12(21), 10295-10312.
  • Holden, A. S., Sullivan, A. P., Munchak, L. A., Kreidenweis, S. M., Schichtel, B. A., Malm, W. C., and Collett, J. L., Jr. (2011), Determining contributions of biomass burning and other sources to fine particle contemporary carbon in the western United States, Atmospheric Environment, 45(11), 1986-1993. 
  • Huang, M., Tong, D., Lee, P., Pan, L., Tang, Y., Stajner, I., Pierce, R. B., McQueen, J., and Wang, J. (2015), Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study, Atmospheric Chemistry and Physics, 15(21), 12595-12610, doi:10.5194/acp-15-12595-2015. 
  • Hyslop, N. P., Trzepla, K., and White, W. H. (2012), Reanalysis of archived IMPROVE PM2.5 samples previously analyzed over a 15-year period, Environmental Science & Technology, 46(18), 10106-10113. 
  • Hyslop, N. P., Trzepla, K., and White, W. H. (2015), Assessing the suitability of historical PM2.5 element measurements for trend analysis, Environmental Science & Technology, 49(15), 9247-9255, doi:10.1021/acs.est.5b01572. 
  • Hyslop, N. P., and White, W. H. (2011), Identifying sources of uncertainty from the inter-species covariance of measurement errors, Environmental Science & Technology, 45(9), 4030-4037. 
  • Indresand, H., and Dillner, A. M. (2012), Experimental characterization of sulfur interference in IMPROVE aluminum and silicon XRF data, Atmospheric Environment, 61, 140-147. 
  • Indresand, H., White, W. H., Trzepla, K., and Dillner, A. M. (2013), Preparation of sulfur reference materials that reproduce atmospheric particulate matter sample characteristics for XRF calibration, X-Ray Spectrometry, 42(5), 359-367. 
  • Jathar, S. H., Farina, S. C., Robinson, A. L., and Adams, P. J. (2011), The influence of semi-volatile and reactive primary emissions on the abundance and properties of global organic aerosol, Atmospheric Chemistry and Physics, 11(15), 7727-7746, http://www.atmos-chem-phys.net/11/7727/2011/acp-11-7727-2011.pdf
  • Jeong, C. H., Herod, D., Dabek-Zlotorzynska, E., Ding, L. Y., McGuire, M. L., and Evans, G. (2013), Identification of the sources and geographic origins of black carbon using factor analysis at paired rural and urban sites, Environmental Science & Technology, 47(15), 8462-8470. 
  • Jo, D. S., Park, R. J., Kim, M. J., and Spracklen, D. V. (2013), Effects of chemical aging on global secondary organic aerosol using the volatility basis set approach, Atmospheric Environment, 81, 230-244. 
  • June, N. A., Wang, X., Chen, L.-W. A., Chow, J. C., Watson, J. G., Wang, X. L., Henderson, B. H., Zheng, Y. Q., and Mao, J. Q. (2020), Spatial and temporal variability of brown carbon in the United States: Implications for direct radiative effects, Geophysical Research Letters, 47(23), doi:10.1029/2020GL090332. 
  • Kamruzzaman, M., Takahama, S., and Dillner, A. M. (2018), Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network, Atmospheric Environment, 172, 124-132, doi:10.1016/j.atmosenv.2017.10.053. 
  • Kavouras, I. G., Nikolich, G., Etyemezian, V. R., DuBois, D. W., King, J., and Shafer, D. (2012), In situ observations of soil minerals and organic matter in the early phases of prescribed fires, Journal of Geophysical Research-Atmospheres, 117
  • Kim, P. S., Jacob, D. J., Fisher, J. A., Travis, K., Yu, K., Zhu, L., Yantosca, R. M., Sulprizio, M. P., Jimenez, J. L., Campuzano-Jost, P., Froyd, K. D., Liao, J., Hair, J. W., Fenn, M. A., Butler, C. F., Wagner, N. L., Gordon, T. D., Welti, A., Wennberg, P. O., Crounse, J. D., St Clair, J. M., Teng, A. P., Millet, D. B., Schwarz, J. P., Markovic, M. Z., and Perring, A. E. (2015), N Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model, Atmospheric Chemistry and Physics, 15(18), 10411-10433, doi:10.5194/acp-15-10411-2015. 
  • Kim, S. Y., Olives, C., Sheppard, L., Sampson, P. D., Larson, T. V., Keller, J. P., and Kaufman, J. D. (2017), Historical prediction modeling approach for estimating long-term concentrations of PM2.5 in cohort studies before the 1999 implementation of widespread monitoring, Environmental Health Perspectives, 125(1), 38-46, doi:10.1289/ehp131. 
  • Kim, S. Y., Sheppard, L., Larson, T. V., Kaufman, J. D., and Vedal, S. (2015), Combining PM2.5 component data from multiple sources: Data consistency and characteristics relevant to epidemiological analyses of predicted long-term exposures, Environmental Health Perspectives, 123(7), 651-658, doi:10.1289/ehp.1307744. 
  • Kotchenruther, R. A. (2013), A regional assessment of marine vessel PM2.5 impacts in the U.S. Pacific Northwest using a receptor-based source apportionment method, Atmospheric Environment, 68, 103-111. 
  • Kotchenruther, R. A. (2015), The effects of marine vessel fuel sulfur regulations on ambient PM2.5 along the west coast of the US, Atmospheric Environment, 103, 121-128. 
  • Kotchenruther, R. A. (2017), The effects of marine vessel fuel sulfur regulations on ambient PM2.5 at coastal and near coastal monitoring sites in the US, Atmospheric Environment, 151, 52-61, doi:10.1016/j.atmosenv.2016.12.012. 
  • Kuzmiakova, A., Dillner, A. M., and Takahama, S. (2016), An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters, Atmospheric Measurement Techniques, 9(6), 2615-2631, doi:10.5194/amt-9-2615-2016. 
  • Laidlaw, M. A. S., Zahran, S., Mielke, H. W., Taylor, M. P., and Filippelli, G. M. (2012), Re-suspension of lead contaminated urban soil as a dominant source of atmospheric lead in Birmingham, Chicago, Detroit and Pittsburgh, USA, Atmospheric Environment, 49, 302-310. 
  • Lambert, A., Hallar, A. G., Garcia, M., Strong, C., Andrews, E., and Hand, J. L. (2020), Dust impacts of rapid agricultural expansion on the Great Plains, Geophysical Research Letters, 47(20), doi:10.1029/2020GL090347. 
  • Levin, E. J. T., McMeeking, G. R., Carrico, C. M., Mack, L. E., Kreidenweis, S. M., Wold, C. E., Moosmüller, H., Arnott, W. P., Hao, W. M., Collett, J. L., Jr., and Malm, W. C. (2010), Biomass burning smoke aerosol properties measured during Fire Laboratory at Missoula Experiments (FLAME), Journal of Geophysical Research-Atmospheres, 115
  • Lin, G., Penner, J. E., Sillman, S., Taraborrelli, D., and Lelieveld, J. (2012), Global modeling of SOA formation from dicarbonyls, epoxides, organic nitrates and peroxides, Atmospheric Chemistry and Physics, 12(10), 4743-4774, http://www.atmos-chem-phys.net/12/4743/2012/acp-12-4743-2012.pdf
  • Liu, C. N., Chiao, S., and Ryoo, J. M. (2019), Asian long-range transport in relation to atmospheric rivers in Northern California, Atmosphere, 10(6), doi:10.3390/atmos10060313. 
  • Liu, Y., and Liu, Z. (2016), Source apportionment of ambient PM2.5 by using Unmix and PMF reception models at Flint Hills rural site and Kansas City urban site, in Proceedings, 2016 ASABE Annual International Meeting, edited, American Society of Agricultural and Biological Engineers, doi:10.13031/aim.20162447784. 
  • Lowenthal, D. H., and Kumar, N. K. (2016), Evaluation of the IMPROVE Equation for estimating aerosol light extinction, Journal of the Air & Waste Management Association, 66(7), 726-737, doi:10.1080/10962247.2016.1178187. 
  • Lowenthal, D. H., Watson, J. G., Koracin, D., Chen, L.-W. A., DuBois, D. W., Vellore, R., Kumar, N. K., Knipping, E. M., Wheeler, N., Craig, K., and Reid, S. (2010), Evaluation of regional scale receptor modeling, Journal of the Air & Waste Management Association, 60(1), 26-42, http://www.tandfonline.com/doi/pdf/10.3155/1047-3289.60.1.26
  • Lowenthal, D. H., Zielinska, B., Samburova, V., Collins, D., Taylor, N. K., and Kumar, N. (2015), Evaluation of assumptions for estimating chemical light extinction at US national parks, Journal of the Air & Waste Management Association, 65(3), 249-260, http://www.tandfonline.com/doi/pdf/10.1080/10962247.2014.986307?needAccess=true
  • Malamakal, T., Chen, L.-W. A., Wang, X. L., Green, M. C., Gronstal, S., Chow, J. C., and Watson, J. G. (2013), Prescribed burn smoke impact in the Lake Tahoe Basin: Model simulation and field verification, International Journal of Environment and Pollution, 52(3/4), 225-243, https://www.researchgate.net/publication/260391315_Prescribed_burn_smoke_impact_in_the_Lake_Tahoe_Basin_Model_simulation_and_field_verification
  • Malm, W. C., Schichtel, B. A., Hand, J. L., and Collett, J. L., Jr. (2017), Concurrent temporal and spatial trends in sulfate and organic mass concentrations measured in the IMPROVE monitoring program, Journal of Geophysical Research: Atmospheres, 122(19), 10462-10476, doi:10.1002/2017JD026865. 
  • Malm, W. C., Schichtel, B. A., Hand, J. L., and Prenni, A. J. (2020), Implications of organic mass to carbon ratios increasing over time in the rural United States, Journal of Geophysical Research-Atmospheres, 125(5), doi:10.1029/2019jd031480. 
  • Malm, W. C., Schichtel, B. A., and Pitchford, M. L. (2011), Uncertainties in PM2.5 gravimetric and speciation measurements and what we can learn from them, Journal of the Air & Waste Management Association, 61(11), 1131-1149. 
  • Mao, Y. H., Li, Q. B., Chen, D., Zhang, L., Hao, W. M., and Liou, K. N. (2014), Top-down estimates of biomass burning emissions of black carbon in the Western United States, Atmospheric Chemistry and Physics, 14(14), 7195-7211. 
  • Mao, Y. H., Li, Q. B., Henze, D. K., Jiang, Z., Jones, D. B. A., Kopacz, M., He, C., Qi, L., Gao, M., Hao, W. M., and Liou, K. N. (2015), Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model, Atmospheric Chemistry and Physics, 15(13), 7685-7702, http://www.atmos-chem-phys.net/15/7685/2015/acp-15-7685-2015.pdf
  • Mao, Y. H., Li, Q. B., Zhang, L., Chen, Y., Randerson, J. T., Chen, D., and Liou, K. N. (2011), Biomass burning contribution to black carbon in the Western United States mountain ranges, Atmospheric Chemistry and Physics, 11(21), 11253-11266.
  • MARAMA (2011), Mid-Atlantic/Northeast Visibility Union second interim report, Mid-Atlantic Reginal Ari Management Association, Baltimore, MD, http://www.marama.org/publications_folder/reports/VisibilityInterimReport_sep2011
  • Mardi, A. H., Dadashazar, H., Painemal, D., Shingler, T., Seaman, S. T., Fenn, M. A., Hostetler, C. A., and Sorooshian, A. (2021), Biomass burning over the United States east coast and western North Atlantic Ocean: Implications for clouds and air quality, Journal of Geophysical Research-Atmospheres, 126(20), doi:10.1029/2021jd034916. 
  • McClure, C. D., and Jaffe, D. A. (2018), US particulate matter air quality improves except in wildfire-prone areas, Proceedings of the National Academy of Sciences of the United States of America, 115(31), 7901-7906, doi:10.1073/pnas.1804353115. 
  • McKendry, I. G., and Gutzler, D. S. (2015), A possible link between wildfire aerosol and North American Monsoon precipitation in Arizona-New Mexico, International Journal of Climatology, 35(10), 3178-3184. 
  • Miller, D. J., Sun, K., Zondlo, M. A., Kanter, D., Dubovik, O., Welton, E. J., Winker, D. M., and Ginoux, P. (2011), Assessing boreal forest fire smoke aerosol impacts on U.S. air quality: A case study using multiple data sets, Journal of Geophysical Research-Atmospheres, 116
  • Molders, N., Porter, S. E., Cahill, C. F., and Grell, G. A. (2010), Influence of ship emissions on air quality and input of contaminants in southern Alaska National Parks and Wilderness Areas during the 2006 tourist season, Atmospheric Environment, 44(11), 1400-1413.
  • Murphy, B. N., and Pandis, S. N. (2010), Exploring summertime organic aerosol formation in the eastern United States using a regional-scale budget approach and ambient measurements, Journal of Geophysical Research-Atmospheres, 115
  • Murphy, D. M., Chow, J. C., Leibensperger, E. M., Malm, W. C., Pitchford, M. L., Schichtel, B. A., Watson, J. G., and White, W. H. (2011), Decreases in elemental carbon and fine particle mass in the United States, Atmospheric Chemistry and Physics, 11, 4679-4686, http://www.atmos-chem-phys.net/11/4679/2011/acp-11-4679-2011.pdf.
  • O'Dell, K., Ford, B., Fischer, E. V., and Pierce, J. R. (2019), Contribution of wildland-fire smoke to US PM2.5 and its influence on recent trends, Environmental Science & Technology, 53(4), 1797-1804, doi:10.1021/acs.est.8b05430. 
  • O'Neill, S. M., Lahm, P. W., Fitch, M. J., and Broughton, M. (2013), Summary and analysis of approaches linking visual range, PM2.5 concentrations, and air quality health impact indices for wildfires, Journal of the Air & Waste Management Association, 63(9), 1083-1090. 
  • Pan, L., Kim, H., Lee, P., Saylor, R., Tang, Y., Tong, D., Baker, B., Kondragunta, S., Xu, C., G. Ruminski, M., Chen, W., McQueen, J., and Stajner, I. (2020), Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign, Geoscientific Model Development, 13(5), 2169-2184, doi:10.5194/gmd-13-2169-2020. 
  • Papp, M. (2012), Documentation of measurement uncertainty estimates of collocated Chemical Speciation Network and IMPROVE data for use in secondary PM2.5 standard for visibility, U.S. Environmental Protection Agency, Research Triangle Park, NC, http://www.epa.gov/ttn/naaqs/standards/pm/data/20120613Papp.pdf.
  • Prabhakar, G., Sorooshian, A., Toffol, E., Arellano, A. F., and Betterton, E. A. (2014), Spatiotemporal distribution of airborne particulate metals and metalloids in a populated arid region, Atmospheric Environment, 92, 339-347. 
  • Prenni, A. J., Levin, E. J. T., Benedict, K. B., Sullivan, A. P., Schurman, M. I., Gebhart, K. A., Day, D. E., Carrico, C. M., Malm, W. C., Schichtel, B. A., Collett, J. L., and Kreidenweis, S. M. (2014), Gas-phase reactive nitrogen near Grand Teton National Park: Impacts of transport, anthropogenic emissions, and biomass burning, Atmospheric Environment, 89, 749-756. 
  • Pu, B., and Ginoux, P. (2018), Climatic factors contributing to long-term variations in surface fine dust concentration in the United States, Atmospheric Chemistry and Physics, 18(6), 4201-4215, doi:10.5194/acp-18-4201-2018.
  • Raman, A., Arellano, A. F., and Brost, J. J. (2014), Revisiting haboobs in the southwestern United States: An observational case study of the 5 July 2011 Phoenix dust storm, Atmospheric Environment, 89, 179-188. 
  • Rasool, Q. Z., Zhang, R., Lash, B., Cohan, D. S., Cooter, E. J., Bash, J. O., and Lamsal, L. N. (2016), Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2, Geoscientific Model Development, 9(9), 3177-3197, doi:10.5194/gmd-9-3177-2016. 
  • Rattigan, O. V., Felton, H. D., Bae, M. S., Schwab, J. J., and Demerjian, K. L. (2011), Comparison of long-term PM(2.5) carbon measurements at an urban and rural location in New York, Atmospheric Environment, 45(19), 3228-3236. 
  • Ravi, V., Vaughan, J. K., Wolcott, M. P., and Lamb, B. K. (2019), Impacts of prescribed fires and benefits from their reduction for air quality, health, and visibility in the Pacific Northwest of the United States, Journal of the Air & Waste Management Association, 69(3), 289-304, doi:10.1080/10962247.2018.1526721. 
  • Reggente, M., Dillner, A. M., and Takahama, S. (2016), Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites, Atmospheric Measurement Techniques, 9(2), 441-454, doi:10.5194/amt-9-441-2016. 
  • Requia, W. J., Coull, B. A., and Koutrakis, P. (2019), The impact of wildfires on particulate carbon in the western USA, Atmospheric Environment, 213, 1-10, doi:10.1016/j.atmosenv.2019.05.054. 
  • Requia, W. J., Coull, B. A., and Koutrakis, P. (2019), The influence of spatial patterning on modeling PM2.5 constituents in Eastern Massachusetts, Science of the Total Environment, 682, 247-258, doi:10.1016/j.scitotenv.2019.05.012. 
  • Requia, W. J., Jhun, I., Coull, B. A., and Koutrakis, P. (2019), Climate impact on ambient PM2.5 elemental concentration in the United States: A trend analysis over the last 30 years, Environment International, 131, doi:10.1016/j.envint.2019.05.082.
  • Riggio, G. M. (2015), Development and application of thermal/optical- quadrupole TOA-QMS mass spectrometry for quantitative analysis of major particulate matter constituents, M.S. Thesis, University of Nevada, Reno, NV. 
  • Rodriguez, M. A., Barna, M. G., Gebhart, K. A., Hand, J. L., Adelman, Z. E., Schichtel, B. A., Collett, J. L., Jr., and Malm, W. C. (2011), Modeling the fate of atmospheric reduced nitrogen during the Rocky Mountain Atmospheric Nitrogen and Sulfur Study (RoMANS): Performance evaluation and diagnosis using integrated processes rate analysis, Atmospheric Environment, 45(1), 223-234. 
  • Ruthenburg, T. C., Perlin, P. C., Liu, V., McDade, C. E., and Dillner, A. M. (2014), Determination of organic matter and organic matter to organic carbon ratios by infrared spectroscopy with application to selected sites in the IMPROVE network, Atmospheric Environment, 86(0), 47-57, http://www.sciencedirect.com/science/article/pii/S1352231013009795
  • Ruzer, L., and Harley, N. H. (2013), Aerosols Handbook : Measurement, Dosimetry, and Health Effects, Second Edition, CRC Press/Taylor & Francis, New York, NY. 
  • Schichtel, B. A., Hand, J. L., Barna, M. G., Gebhart, K. A., Copeland, S., Vimont, J., and Malm, W. C. (2017), Origin of fine particulate carbon in the rural United States, Environmental Science & Technology, 51(17), 9846-9855, doi:10.1021/acs.est.7b00645. 
  • Schichtel, B. A., Pitchford, M. L., and White, W. H. (2011), Comments on "Impact of California's Air Pollution Laws on Black Carbon and their Implications for Direct Radiative Forcing" by R. Bahadur et al, Atmospheric Environment, 45(24), 4116-4118. 
  • Schichtel, B. A., RodriguezB, M. A., Barna, M. G., Gebhart, K. A., Pitchford, M. L., and Malm, W. C. (2012), A semi-empirical, receptor-oriented Lagrangian model for simulating fine particulate carbon at rural sites, Atmospheric Environment, 61, 361-370. 
  • Schlosser, J. S., Braun, R. A., Bradley, T., Dadashazar, H., MacDonald, A. B., Aldhaif, A. A., Aghdam, M. A., Mardi, A. H., Xian, P., and Sorooshian, A. (2017), Analysis of aerosol composition data for western United States wildfires between 2005 and 2015: Dust emissions, chloride depletion, and most enhanced aerosol constituents, Journal of Geophysical Research: Atmospheres, 122(16), 8951-8966, doi:10.1002/2017JD026547. 
  • Shakya, K. M., and Peltier, R. E. (2015), Non-sulfate sulfur in fine aerosols across the United States: Insight for organosulfate prevalence, Atmospheric Environment, 100, 159-166. 
  • Shrivastava, M., Easter, R. C., Liu, X. H., Zelenyuk, A., Singh, B., Zhang, K., Ma, P. L., Chand, D., Ghan, S., Jimenez, J. L., Zhang, Q., Fast, J., Rasch, P. J., and Tiitta, P. (2015), Global transformation and fate of SOA: Implications of low-volatility SOA and gas-phase fragmentation reactions, Journal of Geophysical Research-Atmospheres, 120(9), 4169-4195. 
  • Simon, H., Bhave, P. V., Swall, J. L., Frank, N. H., and Malm, W. C. (2011), Determining the spatial and seasonal variability in OM/OC ratios across the US using multiple regression, Atmospheric Chemistry and Physics, 11(6), 2933-2949. 
  • Smiley, J. (2010), Technical memorandum: Experimental intercomparison of speciation laboratories, U.S. Environmental Protection Agency, Montgomery, AL, http://www.epa.gov/ttn/amtic/files/ambient/pm25/spec/multilabspeciationpt2009.pdf
  • Snider, G., Weagle, C. L., Murdymootoo, K. K., Ring, A., Ritchie, Y., Stone, E., Walsh, A., Akoshile, C., Anh, N. X., Balasubramanian, R., Brook, J., Qonitan, F. D., Dong, J. L., Griffith, D., He, K. B., Holben, B. N., Kahn, R., Lagrosas, N., Lestari, P., Ma, Z. W., Misra, A., Norford, L. K., Quel, E. J., Salam, A., Schichtel, B., Segev, L., Tripathi, S., Wang, C., Yu, C., Zhang, Q., Zhang, Y. X., Brauer, M., Cohen, A., Gibson, M. D., Liu, Y., Martins, J. V., Rudich, Y., and Martin, R. V. (2016), Variation in global chemical composition of PM2.5: Emerging results from SPARTAN, Atmospheric Chemistry and Physics, 16(15), 9629-9653, doi:10.5194/acp-16-9629-2016. 
  • Solomon, P. A., Crumpler, D., Flanagan, J. B., Jayanty, R. K. M., Rickman, E. E., and McDade, C. E. (2014), US National PM2.5 Chemical Speciation Monitoring Networks-CSN and IMPROVE: Description of networks, Journal of the Air & Waste Management Association, 64(12), 1410-1438, http://www.tandfonline.com/doi/pdf/10.1080/10962247.2014.956904.
  • Spada, N. J., Cheng, X., White, W. H., and Hyslop, N. P. (2018), Decreasing vanadium footprint of bunker fuel emissions, Environmental Science and Technology, 52(20), 11528-11534, doi:10.1021/acs.est.8b02942. 
  • Sturtz, T. M., Schichtel, B. A., and Larson, T. V. (2014), Coupling chemical transport model source attributions with positive matrix factorization: Application to two IMPROVE sites impacted by wildfires, Environmental Science & Technology, 48(19), 11389-11396. 
  • Tai, A. P. K., Mickley, L. J., and Jacob, D. J. (2010), Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change, Atmospheric Environment, 44(32), 3976-3984. 
  • Terhorst, J., and Berkman, M. (2010), Effect of coal-fired power generation on visibility in a nearby national park, Atmospheric Environment, 44(21-22), 2524-2531.
  • Tolocka, M. P., and Turpin, B. J. (2012), Contribution of organosulfur compounds to organic aerosol mass, Environmental Science & Technology, 46(15), 7978-7983. 
  • Tong, D. Q., Dan, M., Wang, T., and Lee, P. (2012), Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring, Atmospheric Chemistry and Physics, 12(11), 5189-5205. 
  • Tong, D. Q., Wang, J. X. L., Gill, T. E., Lei, H., and Wang, B. Y. (2017), Intensified dust storm activity and Valley fever infection in the southwestern United States, Geophysical Research Letters, 44(9), 4304-4312, doi:10.1002/2017gl073524. 
  • Trivitayanurak, W., and Adams, P. J. (2014), Does the POA-SOA split matter for global CCN formation?, Atmospheric Chemistry and Physics, 14(2), 995-1010. 
  • Walker, J. M., Philip, S., Martin, R. V., and Seinfeld, J. H. (2012), Simulation of nitrate, sulfate, and ammonium aerosols over the United States, Atmospheric Chemistry and Physics, 12(22), 11213-11227.
  • White, W. H., Farber, R. J., Malm, W. C., Nuttall, M., Pitchford, M. L., and Schichtel, B. A. (2012), Comment on "Effect of coal-fired power generation on visibility in a nearby National Park (Terhorst and Berkman, 2010)", Atmospheric Environment, 55, 173-178. 
  • White, W. H., Hyslop, N. P., Trzepla, K., Yatkin, S., Rarig, R. S., Gill, T. E., and Jin, L. X. (2015), Regional transport of a chemically distinctive dust: Gypsum from White Sands, New Mexico (USA), Aeolian Research, 16, 1-10, doi:10.1016/j.aeolia.2014.10.001. 
  • White, W. H., Trzepla, K., Hyslop, N. P., and Schichtel, B. A. (2016), A critical review of filter transmittance measurements for aerosol light absorption, and de novo calibration for a decade of monitoring on PTFE membranes, Aerosol Science and Technology, 50(9), 984-1002, doi:10.1080/02786826.2016.1211615. 
  • Winquist, A., Schauer, J. J., Turner, J. R., Klein, M., and Sarnat, S. E. (2015), Impact of ambient fine particulate matter carbon measurement methods on observed associations with acute cardiorespiratory morbidity, Journal of Exposure Science & Environmental Epidemiology, 25(2), 215-221. 
  • Yu, S., Mathur, R., Pleim, J., Pouliot, G., Wong, D., Eder, B., Schere, K., Gilliam, R., and Rao, S. T. (2012), Comparative evaluation of the impact of WRF/NMM and WRF/ARW meteorology on CMAQ simulations for PM2.5 and its related precursors during the 2006 TexAQS/GoMACCS study, Atmospheric Chemistry and Physics, 12(9), 4091-4106. 
  • Yu, S., Mathur, R., Pleim, J., Wong, D., Gilliam, R., Alapaty, K., Zhao, C., and Liu, X. (2014), Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis, Atmospheric Chemistry and Physics, 14(20), 11247-11285. 
  • Zeng, T., and Wang, Y. H. (2011), Nationwide summer peaks of OC/EC ratios in the contiguous United States, Atmospheric Environment, 45(3), 578-586. 
  • Zhang, X. Y., Wang, Y. Q., Niu, T., Zhang, X. C., Gong, S. L., Zhang, Y. M., and Sun, J. Y. (2012), Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols, Atmospheric Chemistry and Physics, 12(2), 779-799, http://www.atmos-chem-phys.net/12/779/2012/acp-12-779-2012.pdf
  • Zhang, Y. Y., Obrist, D., Zielinska, B., and Gertler, A. W. (2013), Particulate emissions from different types of biomass burning, Atmospheric Environment, 72, 27-35. 
  • Zhao, C., Leung, L. R., Easter, R., Hand, J. L., and Avise, J. (2013), Characterization of speciated aerosol direct radiative forcing over California, Journal of Geophysical Research-Atmospheres, 118(5), 2372-2388. 
  • Zhao, H. M., Tong, D. Q., Lee, P., Kim, H., and Lei, H. (2016), Reconstructing fire records from ground-based routine aerosol monitoring, Atmosphere, 7(3), doi:10.3390/atmos7030043.