Zobrazeno 1 - 10
of 49
pro vyhledávání: '"R. M. Yantosca"'
Autor:
L. H. Yang, D. J. Jacob, R. Dang, Y. J. Oak, H. Lin, J. Kim, S. Zhai, N. K. Colombi, D. C. Pendergrass, E. Beaudry, V. Shah, X. Feng, R. M. Yantosca, H. Chong, J. Park, H. Lee, W.-J. Lee, S. Kim, E. Kim, K. R. Travis, J. H. Crawford, H. Liao
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 7027-7039 (2024)
Nitrogen oxide radicals (NOx≡NO+NO2) emitted by fuel combustion are important precursors of ozone and particulate matter pollution, and NO2 itself is harmful to public health. The Geostationary Environment Monitoring Spectrometer (GEMS), launched i
Externí odkaz:
https://doaj.org/article/9c1c8982c1c147dbbebbedd70bf09f8e
Autor:
N. K. Colombi, D. J. Jacob, L. H. Yang, S. Zhai, V. Shah, S. K. Grange, R. M. Yantosca, S. Kim, H. Liao
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 4031-4044 (2023)
Surface ozone pollution in South Korea has increased over the past 2 decades, despite efforts to decrease emissions, and is pervasively in exceedance of the maximum daily 8 h average (MDA8) standard of 60 ppb. Here, we investigate the 2015–2019 tre
Externí odkaz:
https://doaj.org/article/ae73e27b702a4cc985cd007fe12da8ab
Autor:
L. H. Yang, D. J. Jacob, N. K. Colombi, S. Zhai, K. H. Bates, V. Shah, E. Beaudry, R. M. Yantosca, H. Lin, J. F. Brewer, H. Chong, K. R. Travis, J. H. Crawford, L. N. Lamsal, J.-H. Koo, J. Kim
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 2465-2481 (2023)
Nitrogen oxides (NOx≡ NO + NO2) are of central importance for air quality, climate forcing, and nitrogen deposition to ecosystems. The Geostationary Environment Monitoring Spectrometer (GEMS) is now providing hourly NO2 satellite observations over
Externí odkaz:
https://doaj.org/article/78ec8ac36d044cfd9ff897908012878f
Autor:
R. V. Martin, S. D. Eastham, L. Bindle, E. W. Lundgren, T. L. Clune, C. A. Keller, W. Downs, D. Zhang, R. A. Lucchesi, M. P. Sulprizio, R. M. Yantosca, Y. Li, L. Estrada, W. M. Putman, B. M. Auer, A. L. Trayanov, S. Pawson, D. J. Jacob
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 8731-8748 (2022)
We describe a new generation of the high-performance GEOS-Chem (GCHP) global model of atmospheric composition developed as part of the GEOS-Chem version 13 series. GEOS-Chem is an open-source grid-independent model that can be used online within a me
Externí odkaz:
https://doaj.org/article/ca13a85666b94a268146e2adab775db1
Autor:
X. Lu, D. J. Jacob, Y. Zhang, J. D. Maasakkers, M. P. Sulprizio, L. Shen, Z. Qu, T. R. Scarpelli, H. Nesser, R. M. Yantosca, J. Sheng, A. Andrews, R. J. Parker, H. Boesch, A. A. Bloom, S. Ma
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 4637-4657 (2021)
We use satellite (GOSAT) and in situ (GLOBALVIEWplus CH4 ObsPack) observations of atmospheric methane in a joint global inversion of methane sources, sinks, and trends for the 2010–2017 period. The inversion is done by analytical solution to the Ba
Externí odkaz:
https://doaj.org/article/6e963e8766064ebaa423c2cc84e3b93b
Autor:
B. Zhang, H. Liu, J. H. Crawford, G. Chen, T. D. Fairlie, S. Chambers, C.-H. Kang, A. G. Williams, K. Zhang, D. B. Considine, M. P. Sulprizio, R. M. Yantosca
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 1861-1887 (2021)
Radon-222 (222Rn) is a short-lived radioactive gas naturally emitted from land surfaces and has long been used to assess convective transport in atmospheric models. In this study, we simulate 222Rn using the GEOS-Chem chemical transport model to impr
Externí odkaz:
https://doaj.org/article/fe3098c00e6a4859b6d913df8b463a76
Autor:
H. Lin, X. Feng, T.-M. Fu, H. Tian, Y. Ma, L. Zhang, D. J. Jacob, R. M. Yantosca, M. P. Sulprizio, E. W. Lundgren, J. Zhuang, Q. Zhang, X. Lu, L. Shen, J. Guo, S. D. Eastham, C. A. Keller
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 3241-3265 (2020)
We developed the WRF-GC model, an online coupling of the Weather Research and Forecasting (WRF) mesoscale meteorological model and the GEOS-Chem atmospheric chemistry model, for regional atmospheric chemistry and air quality modeling. WRF and GEOS-Ch
Externí odkaz:
https://doaj.org/article/0665464609314577849d6bcd7b4ef50f
Autor:
S. D. Eastham, M. S. Long, C. A. Keller, E. Lundgren, R. M. Yantosca, J. Zhuang, C. Li, C. J. Lee, M. Yannetti, B. M. Auer, T. L. Clune, J. Kouatchou, W. M. Putman, M. A. Thompson, A. L. Trayanov, A. M. Molod, R. V. Martin, D. J. Jacob
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 2941-2953 (2018)
Global modeling of atmospheric chemistry is a grand computational challenge because of the need to simulate large coupled systems of ∼ 100–1000 chemical species interacting with transport on all scales. Offline chemical transport models (CTMs)
Externí odkaz:
https://doaj.org/article/71ba9db8726f454695bb1807b76fc70d
Autor:
L. Zhu, D. J. Jacob, P. S. Kim, J. A. Fisher, K. Yu, K. R. Travis, L. J. Mickley, R. M. Yantosca, M. P. Sulprizio, I. De Smedt, G. González Abad, K. Chance, C. Li, R. Ferrare, A. Fried, J. W. Hair, T. F. Hanisco, D. Richter, A. Jo Scarino, J. Walega, P. Weibring, G. M. Wolfe
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 13477-13490 (2016)
Formaldehyde (HCHO) column data from satellites are widely used as a proxy for emissions of volatile organic compounds (VOCs), but validation of the data has been extremely limited. Here we use highly accurate HCHO aircraft observations from the N
Externí odkaz:
https://doaj.org/article/b8166c83eb9449bb8953a181c711a3ad
Autor:
K. R. Travis, D. J. Jacob, J. A. Fisher, P. S. Kim, E. A. Marais, L. Zhu, K. Yu, C. C. Miller, R. M. Yantosca, M. P. Sulprizio, A. M. Thompson, P. O. Wennberg, J. D. Crounse, J. M. St. Clair, R. C. Cohen, J. L. Laughner, J. E. Dibb, S. R. Hall, K. Ullmann, G. M. Wolfe, I. B. Pollack, J. Peischl, J. A. Neuman, X. Zhou
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 13561-13577 (2016)
Ozone pollution in the Southeast US involves complex chemistry driven by emissions of anthropogenic nitrogen oxide radicals (NOx ≡ NO + NO2) and biogenic isoprene. Model estimates of surface ozone concentrations tend to be biased high in the regi
Externí odkaz:
https://doaj.org/article/0b26e47cd04545dcba34c93405710d4a