Zobrazeno 1 - 10
of 2 058
pro vyhledávání: '"J. Ban"'
Autor:
B.-J. Jung, B. Ménétrier, C. Snyder, Z. Liu, J. J. Guerrette, J. Ban, I. H. Baños, Y. G. Yu, W. C. Skamarock
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3879-3895 (2024)
This paper describes the three-dimensional variational (3D-Var) data assimilation (DA) system for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS). Its core element is a multiva
Externí odkaz:
https://doaj.org/article/59973632ba1e474bac38eb74923e8498
Autor:
J. J. Guerrette, Z. Liu, C. Snyder, B.-J. Jung, C. S. Schwartz, J. Ban, S. Vahl, Y. Wu, I. H. Baños, Y. G. Yu, S. Ha, Y. Trémolet, T. Auligné, C. Gas, B. Ménétrier, A. Shlyaeva, M. Miesch, S. Herbener, E. Liu, D. Holdaway, B. T. Johnson
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 7123-7142 (2023)
An ensemble of 3D ensemble-variational (En-3DEnVar) data assimilations is demonstrated with the Joint Effort for Data assimilation Integration (JEDI) with the Model for Prediction Across Scales – Atmosphere (MPAS-A) (i.e., JEDI-MPAS). Basic softwar
Externí odkaz:
https://doaj.org/article/8bad33cc031043f787e778e416a336af
Autor:
Z. Liu, C. Snyder, J. J. Guerrette, B.-J. Jung, J. Ban, S. Vahl, Y. Wu, Y. Trémolet, T. Auligné, B. Ménétrier, A. Shlyaeva, S. Herbener, E. Liu, D. Holdaway, B. T. Johnson
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 7859-7878 (2022)
On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework of the Joint Effort for Data assimilation Integration (JEDI) was publicly releas
Externí odkaz:
https://doaj.org/article/ca907d2e15b04cceac3c00a4718435ce
Publikováno v:
Earth System Science Data, Vol 14, Pp 943-954 (2022)
The health risks of fine particulate matter (PM2.5) and ambient ozone (O3) have been widely recognized in recent years. An accurate estimate of PM2.5 and O3 exposures is important for supporting health risk analysis and environmental policy-making. T
Externí odkaz:
https://doaj.org/article/23948ac11f6048899eac629343462ae6
Autor:
C. Sarkar, G. Wong, A. Mielnik, S. Nagalingam, N. J. Gross, A. B. Guenther, T. Lee, T. Park, J. Ban, S. Kang, J.-S. Park, J. Ahn, D. Kim, H. Kim, J. Choi, B.-K. Seo, J.-H. Kim, S. B. Park, S. Kim
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 11505-11518 (2021)
A compound was observed using airborne proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) measurements in the emission plumes from the Daesan petrochemical facility in South Korea. The compound was detected at m/z 43.018 on the PT
Externí odkaz:
https://doaj.org/article/e05f4b79c0234e9391dc8a1d476a14b4
Publikováno v:
Atmospheric Chemistry and Physics, Vol 19, Pp 8619-8650 (2019)
Ambient pollutants and emissions in China have changed significantly in recent years due to strict control strategies implemented by the government. It is of great interest to evaluate the reduction of emissions and the air quality response using a d
Externí odkaz:
https://doaj.org/article/479ad7dc0b2f4884abb116b3957b9d78
Publikováno v:
Atmospheric Chemistry and Physics, Vol 19, Pp 7409-7427 (2019)
To better characterize anthropogenic emission-relevant aerosol species, the Gridpoint Statistical Interpolation (GSI) and Weather Research and Forecasting with Chemistry (WRF/Chem) data assimilation system was updated from the GOCART aerosol scheme t
Externí odkaz:
https://doaj.org/article/39dc2302e37241a28df36126e80651f2
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 17387-17404 (2018)
An ensemble Kalman filter data assimilation (DA) system has been developed to improve air quality forecasts using surface measurements of PM10, PM2.5, SO2, NO2, O3, and CO together with an online regional chemical transport model, WRF-Chem (Weather R
Externí odkaz:
https://doaj.org/article/e638048d139141f19e3b9165729ee068
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Iss 7, Pp 4837-4855 (2017)
In an attempt to improve the forecasting of atmospheric aerosols, the ensemble square root filter algorithm was extended to simultaneously optimize the chemical initial conditions (ICs) and emission input. The forecast model, which was expanded by co
Externí odkaz:
https://doaj.org/article/6629d6674fec4f0e8c211f67dff4c82d
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 10707-10724 (2016)
Extreme haze events have occurred frequently over China in recent years. Although many studies have investigated the formation mechanisms associated with PM2.5 for heavily polluted regions in China based on observational data, adequately predictin
Externí odkaz:
https://doaj.org/article/f41c8b27fe824a26bafe6aaa6744c9e5