Li Pan, Ph.D. - Publications

Affiliations: 
2006 University of Iowa, Iowa City, IA 
Area:
Chemical Engineering, Atmospheric Sciences

19 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Tang Y, Pagowski M, Chai T, Pan L, Lee P, Baker B, Kumar R, Monache LD, Tong D, Kim H. 3D-Var versus Optimal Interpolation for Aerosol Assimilation: a Case Studyover the Contiguous United States Geoscientific Model Development Discussions. 1-27. DOI: 10.5194/Gmd-2017-147  0.321
2017 Pan L, Kim HC, Lee P, Saylor R, Tang Y, Tong D, Baker B, Kondragunta S, Xu C, Ruminski MG, Chen W, Mcqueen J, Stajner I. 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 Discussions. 13: 2169-2184. DOI: 10.5194/Gmd-13-2169-2020  0.315
2017 Tang Y, Pagowski M, Chai T, Pan L, Lee P, Baker B, Kumar R, Monache LD, Tong D, Kim H. A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods Geoscientific Model Development. 10: 4743-4758. DOI: 10.5194/Gmd-10-4743-2017  0.327
2017 Huang J, McQueen J, Wilczak J, Djalalova I, Stajner I, Shafran P, Allured D, Lee P, Pan L, Tong D, Huang H, DiMego G, Upadhayay S, Monache LD. Improving NOAA NAQFC PM2.5 predictions with a bias correction approach Weather and Forecasting. 32: 407-421. DOI: 10.1175/Waf-D-16-0118.1  0.326
2017 Lee P, McQueen J, Stajner I, Huang J, Pan L, Tong D, Kim H, Tang Y, Kondragunta S, Ruminski M, Lu S, Rogers E, Saylor R, Shafran P, Huang H, et al. NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5) Weather and Forecasting. 32: 343-360. DOI: 10.1175/Waf-D-15-0163.1  0.39
2017 Chai T, Kim H, Pan L, Lee P, Tong D. Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi-scale Air Quality aerosol predictions over the contiguous United States Journal of Geophysical Research: Atmospheres. 122: 5399-5415. DOI: 10.1002/2016Jd026295  0.327
2016 Kim HC, Lee P, Judd L, Pan L, Lefer B. OMI NO2 column densities over North American urban cities: The effect of satellite footprint resolution Geoscientific Model Development. 9: 1111-1123. DOI: 10.5194/Gmd-9-1111-2016  0.368
2016 Tong D, Pan L, Chen W, Lamsal L, Lee P, Tang Y, Kim H, Kondragunta S, Stajner I. Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions Geophysical Research Letters. 43: 9280-9288. DOI: 10.1002/2016Gl069885  0.411
2015 Tang Y, Chai T, Pan L, Lee P, Tong D, Kim HC, Chen W. Using Optimal Interpolation to Assimilate Surface Measurements and Satellite AOD for Ozone and PM2.5: A Case Study for July 2011. Journal of the Air & Waste Management Association (1995). PMID 26091206 DOI: 10.1080/10962247.2015.1062439  0.336
2015 Huang M, Tong D, Lee P, Pan L, Tang Y, Stajner I, Pierce RB, McQueen J, Wang J. Toward enhanced capability for detecting and predicting dust events in the western United States: The Arizona case study Atmospheric Chemistry and Physics. 15: 12595-12610. DOI: 10.5194/Acp-15-12595-2015  0.364
2015 Tong DQ, Lamsal L, Pan L, Ding C, Kim H, Lee P, Chai T, Pickering KE, Stajner I. Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission inventories Atmospheric Environment. 107: 70-84. DOI: 10.1016/J.Atmosenv.2015.01.035  0.403
2014 Pan L, Tong D, Lee P, Kim H-, Chai T. Assessment of NOx and O3 forecasting performances in the U.S. National Air Quality Forecasting Capability before and after the 2012 major emissions updates Atmospheric Environment. 95: 610-619. DOI: 10.1016/J.Atmosenv.2014.06.020  0.403
2013 Chai T, Kim H-, Lee P, Tong D, Pan L, Tang Y, Huang J, McQueen J, Tsidulko M, Stajner I. Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO 2 measurements Geoscientific Model Development. 6: 1831-1850. DOI: 10.5194/Gmd-6-1831-2013  0.352
2011 Friedli HR, Arellano AF, Geng F, Cai C, Pan L. Measurements of atmospheric mercury in Shanghai during September 2009 Atmospheric Chemistry and Physics. 11: 3781-3788. DOI: 10.5194/Acp-11-3781-2011  0.329
2010 Pan L, Lin CJ, Carmichael GR, Streets DG, Tang Y, Woo JH, Shetty SK, Chu HW, Ho TC, Friedli HR, Feng X. Study of atmospheric mercury budget in East Asia using STEM-Hg modeling system. The Science of the Total Environment. 408: 3277-91. PMID 20483447 DOI: 10.1016/J.Scitotenv.2010.04.039  0.539
2008 Pan L, Carmichael GR, Adhikary B, Tang Y, Streets D, Woo J, Friedli HR, Radke LF. A regional analysis of the fate and transport of mercury in East Asia and an assessment of major uncertainties Atmospheric Environment. 42: 1144-1159. DOI: 10.1016/J.Atmosenv.2007.10.045  0.584
2007 Pan L, Chai T, Carmichael GR, Tang Y, Streets D, Woo J, Friedli HR, Radke LF. Top-down estimate of mercury emissions in China using four-dimensional variational data assimilation Atmospheric Environment. 41: 2804-2819. DOI: 10.1016/J.Atmosenv.2006.11.048  0.404
2006 Pan L, Woo J, Carmichael GR, Tang Y, Friedli HR, Radke LF. Regional distribution and emissions of mercury in east Asia: A modeling analysis of Asian Pacific Regional Aerosol Characterization Experiment (ACE-Asia) observations Journal of Geophysical Research. 111. DOI: 10.1029/2005Jd006381  0.42
2005 Guttikunda SK, Tang Y, Carmichael GR, Kurata G, Pan L, Streets DG, Woo JH, Thongboonchoo N, Fried A. Impacts of Asian megacity emissions on regional air quality during spring 2001 Journal of Geophysical Research D: Atmospheres. 110: 1-18. DOI: 10.1029/2004Jd004921  0.643
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