References

Applequist, S., 2012. Wind rose bias correction. Journal of Applied Meteorology and Climatology 51, 1305–1309.

Ara Begum, B., Kim, E., Jeong, C.-H., Lee, D.-W., Hopke, P.K., 2005. Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode. Atmospheric Environment 39, 3719–3724. https://doi.org/10.1016/j.atmosenv.2005.03.008

Ashbaugh, L.L., Malm, W.C., Sadeh, W.Z., 1985. A residence time probability analysis of sulfur concentrations at grand Canyon National Park. Atmospheric Environment (1967) 19, 1263–1270. https://doi.org/10.1016/0004-6981(85)90256-2

Bentley, S.T., 2004. Graphical techniques for constraining estimates of aerosol emissions from motor vehicles using air monitoring network data. Atmospheric Environment 38, 1491–1500. https://doi.org/10.1016/j.atmosenv.2003.11.033

Brook, J.R., Johnson, D., Mamedov, A., 2004. Determination of the Source Areas Contributing to Regionally High Warm Season PM_2.5in Eastern North America. Journal of the Air & Waste Management Association 54, 1162–1169. https://doi.org/10.1080/10473289.2004.10470984

Carslaw, D.C., Beevers, S.D., 2013. Characterising and understanding emission sources using bivariate polar plots and k-means clustering. Environmental Modelling & Software 40, 325–329. https://doi.org/10.1016/j.envsoft.2012.09.005

Carslaw, D.C., Beevers, S.D., Ropkins, K., Bell, M.C., 2006. Detecting and quantifying aircraft and other on-airport contributions to ambient nitrogen oxides in the vicinity of a large international airport. Atmospheric Environment 40, 5424–5434.

Carslaw, D.C., Beevers, S.D., Tate, J.E., 2007. Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach. Atmospheric Environment 41, 5289–5299.

Chatfield, C., 2004. The analysis of time series : An introduction / chris chatfield, 6th ed. ed. Chapman & Hall/CRC, Boca Raton, FL ; London :

COMEAP, 2011. Review of the UK air quality index: A report by the committee on the medical effects of air pollutants.

Droppo, J.G., Napier, B.A., 2008. Wind direction bias in generating wind roses and conducting sector-based air dispersion modeling. Journal of the Air & Waste Management Association 58, 913–918.

Farren, N.J., Schmidt, C., Juchem, H., Pöhler, D., Wilde, S.E., Wagner, R.L., Wilson, S., Shaw, M.D., Carslaw, D.C., 2023. Emission ratio determination from road vehicles using a range of remote emission sensing techniques. Science of The Total Environment 875, 162621. https://doi.org/10.1016/j.scitotenv.2023.162621

Fleming, Z.L., Monks, P.S., Manning, A.J., 2012. Review: Untangling the influence of air-mass history in interpreting observed atmospheric composition. Atmospheric Research 104-105, 1–39. https://doi.org/10.1016/j.atmosres.2011.09.009

Friendly, M., 2002. Corrgrams: Exploratory Displays for Correlation Matrices. The American Statistician 56, 316–325.

Grange, S.K., Lewis, A.C., Carslaw, D.C., 2016. Source apportionment advances using polar plots of bivariate correlation and regression statistics. Atmospheric Environment 145, 128–134.

Hastie, T.J., Tibshirani, R.J., 1990. Generalized additive models. Chapman; Hall, London.

Henry, R., Norris, G.A., Vedantham, R., Turner, J.R., 2009. Source Region Identification Using Kernel Smoothing. Environmental Science & Technology 43, 4090–4097. https://doi.org/{10.1021/es8011723}

Hirsch, R.M., Slack, J.R., Smith, R.A., 1982. Techniques of trend analysis for monthly water-quality data. Water Resources Research 18, 107–121.

Hsu, Y.-K., Holsen, T.M., Hopke, P.K., 2003. Comparison of hybrid receptor models to locate PCB sources in Chicago. Atmospheric Environment 37, 545–562. https://doi.org/10.1016/S1352-2310(02)00886-5

Kunsch, H.R., 1989. The jackknife and the bootstrap for general stationary observations. Annals of Statistics 17, 1217–1241.

Legates, D.R., McCabe, G.J., 2012. A refined index of model performance: A rejoinder. International Journal of Climatology.

Legates, D.R., McCabe Jr, G.J., 1999. Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resources Research 35, 233–241.

Lupu, A., Maenhaut, W., 2002. Application and comparison of two statistical trajectory techniques for identification of source regions of atmospheric aerosol species. Atmospheric Environment 36, 5607–5618.

Masiol, M., Squizzato, S., Cheng, M.-D., Rich, D.Q., Hopke, P.K., 2019. Differential probability functions for investigating long-term changes in local and regional air pollution sources. Aerosol and Air Quality Research 19, 724–736. https://doi.org/10.4209/aaqr.2018.09.0327

Pekney, N.J., Davidson, C.I., Zhou, L., Hopke, P.K., 2006. Application of PSCF and CPF to PMF-Modeled Sources of PM 2.5 in Pittsburgh. Aerosol Science and Technology 40, 952–961. https://doi.org/10.1080/02786820500543324

Sarkar, D., 2007. Lattice multivariate data visualization with R. Springer, New York.

Seibert, P., Kromp-Kolb, H., Baltensperger, U., Jost, D., 1994. Trajectory analysis of high-alpine air pollution data. NATO Challenges of Modern Society 18, 595–595.

Sen, P.K., 1968. Estimates of regression coefficient based on kendall’s tau. Journal of the American Statistical Association 63(324), 1379–1389.

Stein, A.F., Draxler, R.R., Rolph, G.D., Stunder, B.J.B., Cohen, M.D., Ngan, F., 2015. NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System. Bulletin of the American Meteorological Society 96, 2059–2077. https://doi.org/10.1175/bams-d-14-00110.1

Taylor, K.E., 2001. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research 106, 7183–7192.

Theil, H., 1950. A rank invariant method of linear and polynomial regression analysis, i, II, III. Proceedings of the Koninklijke Nederlandse Akademie Wetenschappen, Series A – Mathematical Sciences 53, 386–392, 521–525, 1397–1412.

Uria-Tellaetxe, I., Carslaw, D.C., 2014. Conditional bivariate probability function for source identification. Environmental Modelling & Software 59, 1–9. https://doi.org/10.1016/j.envsoft.2014.05.002

Westmoreland, E.J., Carslaw, N., Carslaw, D.C., Gillah, A., Bates, E., 2007. Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. Atmospheric Environment 41, 9195–9205.

Wilcox, R.R., 2010. Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy, 2nd ed. Springer New York.

Wilks, D.S., 2005. Statistical Methods in the Atmospheric Sciences, Volume 91, Second Edition (International Geophysics), 2nd ed. Hardcover; Academic Press.

Willmott, C.J., Robeson, S.M., Matsuura, K., 2011. A refined index of model performance. International Journal of Climatology.

Wood, S.N., 2006. Generalized additive models: An introduction with r. Chapman; Hall/CRC.

Wu, C., Yu, J.Z., 2018. Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting. Atmospheric Measurement Techniques 11, 1233–1250. https://doi.org/10.5194/amt-11-1233-2018

York, D., 1968. Least squares fitting of a straight line with correlated errors. Earth and Planetary Science Letters 5, 320–324. https://doi.org/10.1016/s0012-821x(68)80059-7

York, D., Evensen, N.M., Martıńez, M.L., De Basabe Delgado, J., 2004. Unified equations for the slope, intercept, and standard errors of the best straight line. American Journal of Physics 72, 367–375. https://doi.org/10.1119/1.1632486

Yu, K.N., Cheung, Y.P., Cheung, T., Henry, R.C., 2004. Identifying the impact of large urban airports on local air quality by nonparametric regression. Atmospheric Environment 38, 4501–4507.

Zhao, W., Hopke, P.K., Zhou, L., 2007. Spatial distribution of source locations for particulate nitrate and sulfate in the upper-midwestern United States. Atmospheric Environment 41, 1831–1847. https://doi.org/10.1016/j.atmosenv.2006.10.060

Zhou, C., Zhou, H., Holsen, T.M., Hopke, P.K., Edgerton, E.S., Schwab, J.J., 2019. Ambient Ammonia Concentrations Across New York State. Journal of Geophysical Research: Atmospheres 124, 8287–8302. https://doi.org/10.1029/2019jd030380

Zhou, L., 2004. Comparison of two trajectory based models for locating particle sources for two rural New York sites. Atmospheric Environment 38, 1955–1963. https://doi.org/10.1016/j.atmosenv.2003.12.034