Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10157-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-10157-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploring the relationship between surface PM2.5 and meteorology in Northern India
Jordan L. Schnell
CORRESPONDING AUTHOR
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Program in Atmospheric and Oceanic Sciences, Princeton University,
Princeton, New Jersey, USA
now at: Department of Earth and Planetary Sciences, Northwestern University,
Evanston, Illinois, USA
Vaishali Naik
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Larry W. Horowitz
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Fabien Paulot
Cooperative Institute for Climate Science, Princeton University, New
Jersey, USA
Jingqiu Mao
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Program in Atmospheric and Oceanic Sciences, Princeton University,
Princeton, New Jersey, USA
now at: Department of Chemistry and Biochemistry, University of Alaska,
Fairbanks, Fairbanks, Alaska, USA
Paul Ginoux
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Ming Zhao
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Kirpa Ram
Institute of Environment and Sustainable Development, Banaras Hindu
University, Varanasi, India
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Latest update: 23 Nov 2024
Short summary
We evaluate the ability of a developmental version of the NOAA GFDL Atmospheric Model, version 4 to simulate observed wintertime pollution and its relationship to weather over Northern India, one of the most densely populated and polluted regions in world. We also compare two emission inventories and find that the newest version dramatically improves our simulation. Observed and modeled pollution is the highest within the Indo-Gangetic Plain, where it is closely related to near-surface weather.
We evaluate the ability of a developmental version of the NOAA GFDL Atmospheric Model, version 4...
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