Lyapustin A - Search Results

1

Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors.

van Donkelaar A, Martin RV, Brauer M, Hsu NC, Kahn RA, Levy RC, Lyapustin A, Sayer AM, Winker DM. van Donkelaar A, et al. Among authors: lyapustin a. Environ Sci Technol. 2016 Apr 5;50(7):3762-72. doi: 10.1021/acs.est.5b05833. Epub 2016 Mar 24. Environ Sci Technol. 2016. PMID: 26953851

2

Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study.

Kotchenova SY, Vermote EF, Levy R, Lyapustin A. Kotchenova SY, et al. Among authors: lyapustin a. Appl Opt. 2008 May 1;47(13):2215-26. doi: 10.1364/ao.47.002215. Appl Opt. 2008. PMID: 18449285

3

Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City.

Just AC, Wright RO, Schwartz J, Coull BA, Baccarelli AA, Tellez-Rojo MM, Moody E, Wang Y, Lyapustin A, Kloog I. Just AC, et al. Among authors: lyapustin a. Environ Sci Technol. 2015 Jul 21;49(14):8576-84. doi: 10.1021/acs.est.5b00859. Epub 2015 Jun 26. Environ Sci Technol. 2015. PMID: 26061488 Free PMC article.

4

Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003-2011.

Lee M, Kloog I, Chudnovsky A, Lyapustin A, Wang Y, Melly S, Coull B, Koutrakis P, Schwartz J. Lee M, et al. Among authors: lyapustin a. J Expo Sci Environ Epidemiol. 2016 Jun;26(4):377-84. doi: 10.1038/jes.2015.41. Epub 2015 Jun 17. J Expo Sci Environ Epidemiol. 2016. PMID: 26082149 Free PMC article.

5

Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.

Di Q, Kloog I, Koutrakis P, Lyapustin A, Wang Y, Schwartz J. Di Q, et al. Among authors: lyapustin a. Environ Sci Technol. 2016 May 3;50(9):4712-21. doi: 10.1021/acs.est.5b06121. Epub 2016 Apr 22. Environ Sci Technol. 2016. PMID: 27023334 Free PMC article.

6

Developing particle emission inventories using remote sensing (PEIRS).

Tang CH, Coull BA, Schwartz J, Lyapustin AI, Di Q, Koutrakis P. Tang CH, et al. Among authors: lyapustin ai. J Air Waste Manag Assoc. 2017 Jan;67(1):53-63. doi: 10.1080/10962247.2016.1214630. J Air Waste Manag Assoc. 2017. PMID: 27653469 Free PMC article.

7

The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM_2.5 Mass and Composition.

Belle JH, Chang HH, Wang Y, Hu X, Lyapustin A, Liu Y. Belle JH, et al. Among authors: lyapustin a. Int J Environ Res Public Health. 2017 Oct 18;14(10):1244. doi: 10.3390/ijerph14101244. Int J Environ Res Public Health. 2017. PMID: 29057838 Free PMC article.

8

Predicting monthly high-resolution PM_2.5 concentrations with random forest model in the North China Plain.

Huang K, Xiao Q, Meng X, Geng G, Wang Y, Lyapustin A, Gu D, Liu Y. Huang K, et al. Among authors: lyapustin a. Environ Pollut. 2018 Nov;242(Pt A):675-683. doi: 10.1016/j.envpol.2018.07.016. Epub 2018 Jul 11. Environ Pollut. 2018. PMID: 30025341 Free PMC article.

9

Assessing snow extent data sets over North America to inform and improve trace gas retrievals from solar backscatter.

Cooper MJ, Martin RV, Lyapustin AI, McLinden CA. Cooper MJ, et al. Among authors: lyapustin ai. Atmos Meas Tech. 2018;11(5):2983-2994. doi: 10.5194/amt-11-2983-2018. Epub 2018 May 22. Atmos Meas Tech. 2018. PMID: 30450131 Free PMC article.

10

Assessing NO₂ Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging.

Di Q, Amini H, Shi L, Kloog I, Silvern R, Kelly J, Sabath MB, Choirat C, Koutrakis P, Lyapustin A, Wang Y, Mickley LJ, Schwartz J. Di Q, et al. Among authors: lyapustin a. Environ Sci Technol. 2020 Feb 4;54(3):1372-1384. doi: 10.1021/acs.est.9b03358. Epub 2020 Jan 14. Environ Sci Technol. 2020. PMID: 31851499 Free PMC article.

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