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. 
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