Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
Volume 17, issue 12
Atmos. Chem. Phys., 17, 7541–7554, 2017
https://doi.org/10.5194/acp-17-7541-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 7541–7554, 2017
https://doi.org/10.5194/acp-17-7541-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Jun 2017

Research article | 22 Jun 2017

Status update: is smoke on your mind? Using social media to assess smoke exposure

Bonne Ford et al.
Related authors  
A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 1: Specifications and testing
Eric A. Wendt, Casey W. Quinn, Daniel D. Miller-Lionberg, Jessica Tryner, Christian L'Orange, Bonne Ford, Azer P. Yalin, Jeffrey R. Pierce, Shantanu Jathar, and John Volckens
Atmos. Meas. Tech., 12, 5431–5441, https://doi.org/10.5194/amt-12-5431-2019,https://doi.org/10.5194/amt-12-5431-2019, 2019
Short summary
A low-cost monitor for measurement of fine particulate matter and aerosol optical depth – Part 2: Citizen science pilot campaign in northern Colorado
Bonne Ford, Jeffrey R. Pierce, Eric Wendt, Marilee Long, Shantanu Jathar, John Mehaffy, Jessica Tryner, Casey Quinn, Lizette van Zyl, Christian L'Orange, Daniel Miller-Lionberg, and John Volckens
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-109,https://doi.org/10.5194/amt-2019-109, 2019
Revised manuscript accepted for AMT
Short summary
Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter
Bonne Ford and Colette L. Heald
Atmos. Chem. Phys., 16, 3499–3523, https://doi.org/10.5194/acp-16-3499-2016,https://doi.org/10.5194/acp-16-3499-2016, 2016
Short summary
Aerosol loading in the Southeastern United States: reconciling surface and satellite observations
B. Ford and C. L. Heald
Atmos. Chem. Phys., 13, 9269–9283, https://doi.org/10.5194/acp-13-9269-2013,https://doi.org/10.5194/acp-13-9269-2013, 2013
A decadal satellite analysis of the origins and impacts of smoke in Colorado
M. Val Martin, C. L. Heald, B. Ford, A. J. Prenni, and C. Wiedinmyer
Atmos. Chem. Phys., 13, 7429–7439, https://doi.org/10.5194/acp-13-7429-2013,https://doi.org/10.5194/acp-13-7429-2013, 2013
Related subject area  
Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Yueming Cheng, Tie Dai, Daisuke Goto, Nick A. J. Schutgens, Guangyu Shi, and Teruyuki Nakajima
Atmos. Chem. Phys., 19, 13445–13467, https://doi.org/10.5194/acp-19-13445-2019,https://doi.org/10.5194/acp-19-13445-2019, 2019
Short summary
Rate enhancement in collisions of sulfuric acid molecules due to long-range intermolecular forces
Roope Halonen, Evgeni Zapadinsky, Theo Kurtén, Hanna Vehkamäki, and Bernhard Reischl
Atmos. Chem. Phys., 19, 13355–13366, https://doi.org/10.5194/acp-19-13355-2019,https://doi.org/10.5194/acp-19-13355-2019, 2019
Short summary
Air quality and acid deposition impacts of local emissions and transboundary air pollution in Japan and South Korea
Steve Hung Lam Yim, Yefu Gu, Matthew A. Shapiro, and Brent Stephens
Atmos. Chem. Phys., 19, 13309–13323, https://doi.org/10.5194/acp-19-13309-2019,https://doi.org/10.5194/acp-19-13309-2019, 2019
Short summary
Development of a daily PM10 and PM2.5 prediction system using a deep long short-term memory neural network model
Hyun S. Kim, Inyoung Park, Chul H. Song, Kyunghwa Lee, Jae W. Yun, Hong K. Kim, Moongu Jeon, Jiwon Lee, and Kyung M. Han
Atmos. Chem. Phys., 19, 12935–12951, https://doi.org/10.5194/acp-19-12935-2019,https://doi.org/10.5194/acp-19-12935-2019, 2019
Short summary
Technical note: Effects of uncertainties and number of data points on line fitting – a case study on new particle formation
Santtu Mikkonen, Mikko R. A. Pitkänen, Tuomo Nieminen, Antti Lipponen, Sini Isokääntä, Antti Arola, and Kari E. J. Lehtinen
Atmos. Chem. Phys., 19, 12531–12543, https://doi.org/10.5194/acp-19-12531-2019,https://doi.org/10.5194/acp-19-12531-2019, 2019
Short summary
Cited articles  
Abel, F., Hauff, C., Houben, G.-J., Stronkman, R., and Tao, K.: Twitcident: Fighting Fire with Information from Social Web Streams, in Proceedings of the 21st International Conference on World Wide Web, ACM, New York, NY, USA, 305–308, 2012.
Alman, B., Pfister, G., Hao, H., Stowell, J., Hu, X., Liu, Y., and Strickland, M. J.: The association of wildfire smoke with respiratory and cardiovascular emergency department visits in Colorado in 2012: a case crossover study, Environ. Health, 15, 1–9, https://doi.org/10.1186/s12940-016-0146-8, 2016.
Bedo, M., Blanco, G., Oliveira, W., Cazzolato, M., Costa, A., Rodrigues, J., Traina, A., and Traina Jr., C.: Techniques for effective and efficient fire detection from social media images, ArXiv150603844 Cs, available at: http://arxiv.org/abs/1506.03844 (last Aaccess: 29 November 2016), 2015.
Broniatowski, D. A., Paul, M. J., and Dredze, M.: National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic, PLOS ONE, 8, e83672, https://doi.org/10.1371/journal.pone.0083672, 2013.
Publications Copernicus
Download
Short summary
We explore using the percent of Facebook posters mentioning smoke or air quality to assess exposure to wildfire smoke in the western US during summer 2015. We compare this de-identified, aggregated Facebook dataset to satellite observations, surface measurements, and model-simulated concentrations, and we find good agreement in smoke-impacted regions. Our results suggest that aggregate social media data can be used to supplement traditional datasets to estimate smoke exposure.
We explore using the percent of Facebook posters mentioning smoke or air quality to assess...
Citation