Source attribution using satelite products and models to inform air quality planning and health accountability

Lead PI: Arlene H. Fiore

Unit Affiliation: Ocean and Climate Physics, Lamont-Doherty Earth Observatory (LDEO)

August 2016 - August 2020
Inactive
North America ; United States
Project Type: Research

DESCRIPTION: We propose to combine satellite products, ground-based measurements and earth system models to:
• conduct a multi-pollutant health impact analysis for at least the past decade over New York State (NYS);
• attribute background versus U.S. anthropogenic sources that can be linked with health analyses on daily to inter-annual time scales;
• estimate uncertainties in satellite-based and modeling approaches to source attribution and to exposure mapping at multiple time and space scales.

OUTCOMES: Hosted NASA HAQAST3 meeting at LDEO; established collaborations with several state, local & regional air and health agencies including leading 2 cross-team "Tiger Teams": (1) Supporting the use of satellite data in State Implementation planning (see ) & Supporting the use of satellite data in regional haze planning; see also pubs

SPONSOR:

National Aeronautics & Space Administration

FUNDED AMOUNT:

$723,791

COLUMBIA UNIVERSITY COLLABORATORS:

Mailman School of Public Health

EXTERNAL COLLABORATORS:

Boston University

PUBLICATIONS:

Jin, X., Fiore, A. M., Civerolo, K., Bi, J., Liu, Y., van Donkelaar, A., and Martin, R. V., Al-Hamdan, M., Zhang, Y., Insaf., T., Kioumourtzoglou, M., He, M., Kinney, P. (2019b) Comparison of seven PM2.5 exposure products for estimating health benefits of emission controls over New York State, USA, accepted at Environmental Research Letters.

Jin, X., A. M. Fiore, G. Curci, A. Lyapustin, K. Civerolo, M. Ku, A. van Donkelaar, and R. V. Martin (2019a), Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth, Atmos. Chem. Phys., 19(1), 295–313, doi:10.5194/acp-19-295-2019.

Jaffe, D.A., O. Cooper, A.M. Fiore, B. Henderson, G. Tonnesen, A. Russell, D. Henze, A. Langford, M. Lin, T. Moore (2018), Scientific assessment of background ozone over the U.S.: Implications for air quality management, Elementa 6: 56, doi: 10.1525/elementa.309.

Guo, J. J., Fiore, A. M., Murray, L. T., Jaffe, D. A., Schnell, J. L., Moore, T., and Milly, G. (2018), Average versus high surface ozone levels over the continental U.S.A.: Model bias, background influences, and interannual variability, Atmos. Chem. Phys., 18, 12123-12140, https://doi.org/10.5194/acp-18-12123-2018.

Jin, X., Fiore, A. M., Murray, L. T., Valin, L. C., Lamsal, L. N., Duncan, B., Boersma, K.F., De Smedt, I., Gonzalez Abad, G., Chance, K, Tonnesen, G. S. (2017). Evaluating a space-based indicator of surface ozone-NOx-VOC sensitivity over midlatitude source regions and application to decadal trends. Journal of Geophysical Research: Atmospheres, 122. https://doi.org/10.1002/2017JD026720.

KEYWORDS

air quality health satellites

THEMES

Sustainable living