Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3127-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-3127-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2016
Research article |
| 09 Mar 2016
The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
Yunsoo Choi
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
Beata Czader
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
Anirban Roy
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
Hyuncheol Kim
NOAA Air Resources Laboratory, College Park, MD 20740, USA
University of Maryland, Cooperative Institute for Climate and Satellite, College Park, MD, USA
Barry Lefer
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
Shuai Pan
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, 77204, USA
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34 citations as recorded by crossref.
- Spatial and Temporal Distributions of Organophosphate Ester Concentrations from Atmospheric Particulate Matter Samples Collected across Houston, TX A. Clark et al. 10.1021/acs.est.7b00115
- The Impact of Surface Wind Data Assimilation on the Predictability of Near-Surface Plume Advection in the Case of the Fukushima Nuclear Accident T. SEKIYAMA et al. 10.2151/jmsj.2017-025
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- Examining the Effectiveness of Doppler Lidar-Based Observation Nudging in WRF Simulation for Wind Field: A Case Study over Osaka, Japan S. Nayak & I. Kanda 10.3390/atmos14060972
- Four dimensional data assimilation (FDDA) impacts on WRF performance in simulating inversion layer structure and distributions of CMAQ-simulated winter ozone concentrations in Uintah Basin T. Tran et al. 10.1016/j.atmosenv.2018.01.012
- Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
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- Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
- One-way coupling of WRF with a Gaussian dispersion model: a focused fine-scale air pollution assessment on southern Mediterranean H. Snoun et al. 10.1007/s11356-019-05486-3
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- Bias correcting and extending the PM forecast by CMAQ up to 7 days using deep convolutional neural networks A. Sayeed et al. 10.1016/j.atmosenv.2021.118376
- A Long-Term WRF Meteorological Archive for Dispersion Simulations: Application to Controlled Tracer Experiments F. Ngan & A. Stein 10.1175/JAMC-D-16-0345.1
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- Unraveling the interaction of urban emission plumes and marine breezes involved in the formation of summertime coastal high ozone on Long Island J. Zhang et al. 10.1039/D2EA00061J
- Influence of Cold Fronts on Variability of Daily Surface O3 over the Houston-Galveston-Brazoria Area in Texas USA during 2003–2016 R. Lei et al. 10.3390/atmos9050159
- Characterization of Regional Wind Patterns Using Self-Organizing Maps: Impact on Dallas–Fort Worth Long-Term Ozone Trends A. Kotsakis et al. 10.1175/JAMC-D-18-0045.1
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- Modeling expected air quality impacts of Oregon's proposed expanded clean fuels program Y. Li et al. 10.1016/j.atmosenv.2023.119582
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- Discrepancies between modeled and observed nocturnal isoprene in an urban environment and the possible causes: A case study in Houston L. Diao et al. 10.1016/j.atmosres.2016.07.009
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- Impact of data assimilation and aerosol radiation interaction on Lagrangian particle dispersion modelling M. Jia et al. 10.1016/j.atmosenv.2020.118179
- Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust W. Jeon et al. 10.5194/gmd-9-3671-2016
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- Surface MDA8 ozone variability during cold front events over the contiguous United States during 2003–2017 R. Lei et al. 10.1016/j.atmosenv.2019.06.003
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Saved (preprint)
Latest update: 15 Apr 2024
Short summary
We performed a a month-long sensitivity study of obs-nudging on meteorology and ozone chemistry. Notable increases in temperature and wind performance were observed after obs-nudging with hourly nudging files. PBL height also matched better in the sensitivity case. The model ozone improved at ground level and aloft but to a lesser degree. An examination of a high ozone episode showed that the current nudging process does not perform consistently – quite well at times while poor at other times.
We performed a a month-long sensitivity study of obs-nudging on meteorology and ozone chemistry....
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