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10 Results  for Central Connecticut State University

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A hybrid prediction model for PM2.5 mass and components using a chemical transport model and land use regression

Di, Qian ; Koutrakis, Petros ; Schwartz, Joel

Atmospheric Environment, April 2016, Vol.131, pp.390-399 [Peer Reviewed Journal]

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Assessing temporally and spatially resolved PM 2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements

Kloog, Itai ; Koutrakis, Petros ; Coull, Brent A ; Lee, Hyung Joo ; Schwartz, Joel

Atmospheric Environment, 2011, Vol.45(35), pp.6267-6275 [Peer Reviewed Journal]

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Fine particulate matter predictions using high resolution Aerosol Optical Depth (AOD) retrievals

Chudnovsky, Alexandra A ; Koutrakis, Petros ; Kloog, Itai ; Melly, Steven ; Nordio, Francesco ; Lyapustin, Alexei ; Wang, Yujie ; Schwartz, Joel

Atmospheric Environment, June 2014, Vol.89, pp.189-198 [Peer Reviewed Journal]

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Estimating spatio-temporal resolved PM10 aerosol mass concentrations using MODIS satellite data and land use regression over Lombardy, Italy

Nordio, Francesco ; Kloog, Itai ; Coull, Brent A ; Chudnovsky, Alexandra ; Grillo, Paolo ; Bertazzi, Pier Alberto ; Baccarelli, Andrea A ; Schwartz, Joel

Atmospheric Environment, August 2013, Vol.74, pp.227-236 [Peer Reviewed Journal]

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A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data

Kloog, Itai ; Chudnovsky, Alexandra A ; Just, Allan C ; Nordio, Francesco ; Koutrakis, Petros ; Coull, Brent A ; Lyapustin, Alexei ; Wang, Yujie ; Schwartz, Joel

Atmospheric Environment, October 2014, Vol.95, pp.581-590 [Peer Reviewed Journal]

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Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

Kloog, Itai ; Sorek-Hamer, Meytar ; Lyapustin, Alexei ; Coull, Brent ; Wang, Yujie ; Just, Allan C ; Schwartz, Joel ; Broday, David M

Atmospheric Environment, December 2015, Vol.122, pp.409-416 [Peer Reviewed Journal]

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Long-term exposure models for traffic related NO 2 across geographically diverse areas over separate years

Sally Liu, L.-J ; Tsai, Ming-Yi ; Keidel, Dirk ; Gemperli, Armin ; Ineichen, Alex ; Hazenkamp-Von Arx, Marianne ; Bayer-Oglesby, Lucy ; Rochat, Thierry ; Künzli, Nino ; Ackermann-Liebrich, Ursula ; Straehl, Peter ; Schwartz, Joel ; Schindler, Christian

Atmospheric Environment, 2012, Vol.46, pp.460-471 [Peer Reviewed Journal]

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Spatio-temporal modeling of chronic PM10 exposure for the Nurses’ Health Study

Yanosky, Jeff D ; Paciorek, Christopher J ; Schwartz, Joel ; Laden, Francine ; Puett, Robin ; Suh, Helen H

Atmospheric Environment, June 2008, Vol.42(18), pp.4047-4062 [Peer Reviewed Journal]

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9
Fine Particulate Matter Predictions Using High Resolution Aerosol Optical Depth (AOD) Retrievals
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Fine Particulate Matter Predictions Using High Resolution Aerosol Optical Depth (AOD) Retrievals

Wang, Jujie ; Nordio, Francesco ; Schwartz, Joel ; Koutrakis, Petros ; Lyapustin, Alexei ; Kloog, Itai ; Chudnovsky, Alexandra A. ; Melly, Steven ;NASA Goddard Space Flight Center

Atmospheric Environment; Volume 89; 189-198

2014

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10
A New Hybrid Spatio-temporal Model for Estimating Daily Multi-year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data
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A New Hybrid Spatio-temporal Model for Estimating Daily Multi-year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data

Wang, Yujie ; Schwartz, Joel ; Kloog, Itai ; Just, Allan C. ; Nordio, Francesco ; Chudnovsky, Alexandra A. ; Lyapustin, Alexei ; Koutrakis, Petros ; Coull, Brent A. ;NASA Goddard Space Flight Center

Atmospheric Environment; Volume 95; 581-590

2014

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10 Results  for Central Connecticut State University

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