Satellite‐Based Daily PM2.5 Estimates During Fire Seasons in Colorado
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Xuefei Hu | Yang Liu | Daniel Tong | Howard H. Chang | Nancy L. Murray | Howard H Chang | Nancy L Murray | Guannan Geng | Xia Meng | Xuefei Hu | Yang Liu | Joshua S. Fu | G. Geng | Xia Meng | Pius Lee | D. Tong | Joshua S Fu | Pius Lee | J. Fu
[1] R. Draxler,et al. US National Air Quality Forecast Capability: Expanding Coverage to Include Particulate Matter , 2011 .
[2] P. Bartlein,et al. Long-term perspective on wildfires in the western USA , 2012, Proceedings of the National Academy of Sciences.
[3] D. Dockery,et al. Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.
[4] Yujie Wang,et al. Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables , 2011 .
[5] F. Binkowski,et al. Models-3 community multiscale air quality (cmaq) model aerosol component , 2003 .
[6] T. Chai,et al. Assessment of NOx and O3 forecasting performances in the U.S. National Air Quality Forecasting Capability before and after the 2012 major emissions updates , 2014 .
[7] F. Mitloehner,et al. Lung antioxidant and cytokine responses to coarse and fine particulate matter from the great California wildfires of 2008 , 2010, Inhalation toxicology.
[8] M. Razinger,et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power , 2011 .
[9] K. Wyat Appel,et al. Examination of the Community Multiscale Air Quality (CMAQ) model performance over the North American and European domains , 2012 .
[10] Howard H. Chang,et al. Combining Satellite Imagery and Numerical Model Simulation Results to Estimate Daily Ambient Air Pollution: An Ensemble Averaging Approach , 2018, ISEE Conference Abstracts.
[11] J. Schwartz,et al. Incorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic states. , 2012, Environmental science & technology.
[12] A. Raftery,et al. Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .
[13] J. H. Belle,et al. Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach. , 2017, Environmental science & technology.
[14] Aidan McDermott,et al. Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly , 2014, ISPRS Int. J. Geo Inf..
[15] D. Dockery,et al. Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.
[16] James A Mulholland,et al. Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution. , 2016, Environmental science & technology.
[17] Yi Li,et al. Estimating ground-level PM2.5 concentrations in Beijing, China using aerosol optical depth and parameters of the temperature inversion layer. , 2017, The Science of the total environment.
[18] L. Waller,et al. Improving satellite‐driven PM2.5 models with Moderate Resolution Imaging Spectroradiometer fire counts in the southeastern U.S. , 2014, Journal of geophysical research. Atmospheres : JGR.
[19] J. Schwartz,et al. Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatio-Temporal PM2.5 Exposures In The Mid-Atlantic States , 2013 .
[20] Basil W. Coutant,et al. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality , 2004 .
[21] Kebin He,et al. Estimating long-term PM2.5 concentrations in China using satellite-based aerosol optical depth and a chemical transport model , 2015 .
[22] William L. Crosson,et al. Estimating Ground-Level PM(sub 2.5) Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Model , 2014 .
[23] Yujie Wang,et al. Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm , 2011 .
[24] Nancy L. Murray,et al. Combining Satellite Imagery and Numerical Model Simulation to Estimate Ambient Air Pollution: An Ensemble Averaging Approach , 2018, 1802.03077.
[25] D. Byun,et al. Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System , 2006 .
[26] D. Jacob,et al. Global modeling of tropospheric chemistry with assimilated meteorology : Model description and evaluation , 2001 .
[27] B G Armstrong,et al. Effect of measurement error on epidemiological studies of environmental and occupational exposures. , 1998, Occupational and environmental medicine.
[28] Yuhang Wang,et al. Assessment of biomass burning emissions and their impacts on urban and regional PM2.5: a Georgia case study. , 2009, Environmental science & technology.
[29] Stanley G. Benjamin,et al. A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model , 2017 .
[30] M. Evtyugina,et al. Emission of trace gases and organic components in smoke particles from a wildfire in a mixed-evergreen forest in Portugal. , 2011, The Science of the total environment.
[31] D. A. N. J. A F F E,et al. Interannual Variations in PM 2 . 5 due to Wildfires in the Western United States , 2008 .
[32] D. Cocker,et al. Fine organic particle, formaldehyde, acetaldehyde concentrations under and after the influence of fire activity in the atmosphere of Riverside, California. , 2008, Environmental research.
[33] Alan E Gelfand,et al. A Spatio-Temporal Downscaler for Output From Numerical Models , 2010, Journal of agricultural, biological, and environmental statistics.
[34] W. Cascio. Wildland fire smoke and human health. , 2018, The Science of the total environment.
[35] M. Brauer,et al. Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application , 2010, Environmental health perspectives.
[36] V. Salomonson,et al. MODIS: advanced facility instrument for studies of the Earth as a system , 1989 .
[37] A. Just,et al. A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data. , 2014, Atmospheric environment.
[38] H. Aung,et al. Fine particulate matter from urban ambient and wildfire sources from California's San Joaquin Valley initiate differential inflammatory, oxidative stress, and xenobiotic responses in human bronchial epithelial cells. , 2011, Toxicology in vitro : an international journal published in association with BIBRA.
[39] Yang Liu,et al. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling , 2014, Journal of Exposure Science and Environmental Epidemiology.
[40] N. Hengartner,et al. Imprint of the Atlantic multi-decadal oscillation and Pacific decadal oscillation on southwestern US climate: past, present, and future , 2014, Climate Dynamics.
[41] Alexei Lyapustin,et al. Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City. , 2015, Environmental science & technology.
[42] Yujie Wang,et al. Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States. , 2016, Environmental science & technology.
[43] W. Paul Menzel,et al. Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) , 1992, IEEE Trans. Geosci. Remote. Sens..
[44] Yang Liu,et al. Statistical data fusion of multi-sensor AOD over the Continental United States , 2014 .
[45] Jun Wang,et al. Intercomparison between satellite‐derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies , 2003 .
[46] James Grier Miller,et al. The earth as a system , 1982 .
[47] T. Swetnam,et al. Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.
[48] J. Schwartz,et al. Spatiotemporal prediction of fine particulate matter using high-resolution satellite images in the Southeastern US 2003–2011 , 2016, Journal of Exposure Science and Environmental Epidemiology.
[49] Youhua Tang,et al. Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions , 2016 .
[50] A. P. Williams,et al. Impact of anthropogenic climate change on wildfire across western US forests , 2016, Proceedings of the National Academy of Sciences.
[51] F. Dominici,et al. Wildfire-specific Fine Particulate Matter and Risk of Hospital Admissions in Urban and Rural Counties , 2017, Epidemiology.
[52] Yang Liu,et al. Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS , 2007 .
[53] Paula Davidson,et al. Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) Modeling System to Build a National Air Quality Forecasting System , 2005 .
[54] A. Lyapustin,et al. 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data , 2013, Atmospheric chemistry and physics.
[55] Alexei Lyapustin,et al. Discrimination of biomass burning smoke and clouds in MAIAC algorithm , 2012 .
[56] Mark Ruminski,et al. NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5) , 2017 .
[57] A. Peters,et al. Particulate Matter Air Pollution and Cardiovascular Disease: An Update to the Scientific Statement From the American Heart Association , 2010, Circulation.
[58] D. Spracklen,et al. Interannual variations in PM2.5 due to wildfires in the Western United States. , 2008, Environmental science & technology.