Satellite data assimilation for air quality forecast

Boisgontier, Hervé; Mallet, Vivien; Berroir, Jean-Paul; Bocquet, Marc; Herlin, Isabelle; Sportisse, Bruno

doi:10.1016/j.simpat.2008.01.008

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…Moreover, they demonstrated that the assimilation of TES ozone profiles in the GEOS-CHEM model had an impact on simulated ozone surface concentrations over the United States due to an increase of downward ozone fluxes in their simulation, but they do not obtain an overall improvement of surface ozone concentrations. Boisgontier et al (2008) also underlined the potential of assimilating simulated IASI-like ozone observations to better constrain surface ozone concentrations in a regional air quality model. However, we should keep in mind the multiple error sources affecting simulations of boundary layer ozone (primary pollutants emissions, representation of the PBL dynamics, chemistry.…”

Section: G Foret Et Al: Evaluating the Potential Of Iasi Ozone Obsementioning

confidence: 96%

Evaluating the potential of IASI ozone observations to constrain simulated surface ozone concentrations

et al. 2009

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Abstract.A tracer study has been performed for two summers in 2003 and 2004 with a regional chemistry-transport model in order to evaluate the potential constraint that tropospheric ozone observations from nadir viewing infrared sounders like IASI or TES exert on modelled near surface ozone. As these instruments show high sensitivity in the free troposphere, but low sensitivity at ground, it is important to know how much of the information gained in the free troposphere is transferred to ground through vertical transport processes. Within the European model domain, and within a time span of 4 days, only ozone like tracers initialised in vertical layers above 500 hPa are transported to the surface. For a tracer initialised between 800 and 700 hPa, seven percent reaches the surface within one to three days, on the average over the European model domain but more than double over the Mediterranean Sea. For this region, trajectory analysis shows that this is related to strong subsident transport. These results are confirmed by a second tracer study taking into account averaging kernels related to IASI retrievals, indicating the potential of these measurements to efficiently constrain surface ozone values.

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Section: G Foret Et Al: Evaluating the Potential Of Iasi Ozone Obsementioning

confidence: 96%

Evaluating the potential of IASI ozone observations to constrain simulated surface ozone concentrations

et al. 2009

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“…CDA has been implemented using satellite data (e.g. Elbern et al, 1997;Jeuken et al, 1999;Collins et al, 2001;Generoso et al, 2007;Boisgontier et al, 2008;Niu et al, 2008;Wang et al, 2011), ground-based concentrations (e.g. Elbern and Schmidt, 2001;Carmichael et al, 2008;Wu et al, 2008), radiosonde measurements (e.g.…”

Section: Past Examples Of Cda In Air Quality Modellingmentioning

confidence: 99%

Online coupled regional meteorology chemistry models in Europe: current status and prospects

et al. 2014

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Published by Copernicus Publications on behalf of the European Geosciences Union. A. Baklanov et al.: Online coupled regional meteorology chemistry models in EuropeAbstract. Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

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“…In particular, they proposed a method to calculate background errors, which had not been addressed in detail in the previous research, and verified its performance in the interested modeling area. Boisgontier et al (2008) assimilated tropospheric ozone concentrations in their regional ozone prediction study prior to the launch of the MetOp Satellite of European Organisation for the Exploitation of Meteorological Satellites (EUMET-SAT) Polar System (EPS) in October 2006. Although the study performed data assimilation using the column ozone data ranging over 0-6 km in the troposphere, they expected that it would positively affect the accuracy of regional ozone prediction.…”

Section: S-y Park Et Al: Variational Data Assimilation For the Optmentioning

confidence: 99%

Variational data assimilation for the optimized ozone initial state and the short-time forecasting

et al. 2016

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Abstract. In this study, we apply the four-dimensional variational (4D-Var) data assimilation to optimize initial ozone state and to improve the predictability of air quality. The numerical modeling systems used for simulations of atmospheric condition and chemical formation are the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality (CMAQ) model. The study area covers the capital region of South Korea, where the surface measurement sites are relatively evenly distributed.The 4D-Var code previously developed for the CMAQ model is modified to consider background error in matrix form, and various numerical tests are conducted. The results are evaluated with an idealized covariance function for the appropriateness of the modified codes. The background error is then constructed using the NMC method with long-term modeling results, and the characteristics of the spatial correlation scale related to local circulation are analyzed. The background error is applied in the 4D-Var research, and a surface observational assimilation is conducted to optimize the initial concentration of ozone. The statistical results for the 12-hour assimilation periods and the 120 observatory sites show a 49.4 % decrease in the root mean squared error (RMSE), and a 59.9 % increase in the index of agreement (IOA). The temporal variation of spatial distribution of the analysis increments indicates that the optimized initial state of ozone concentration is transported to inland areas by the clockwise-rotating local circulation during the assimilation windows.To investigate the predictability of ozone concentration after the assimilation window, a short-time forecasting is carried out. The ratios of the RMSE (root mean squared error) with assimilation versus that without assimilation are 8 and 13 % for the +24 and +12 h, respectively. Such a significant improvement in the forecast accuracy is obtained solely by using the optimized initial state. The potential improvement in ozone prediction for both the daytime and nighttime with application of data assimilation is also presented.

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Satellite data assimilation for air quality forecast

Cited by 9 publications

References 3 publications

Evaluating the potential of IASI ozone observations to constrain simulated surface ozone concentrations

Evaluating the potential of IASI ozone observations to constrain simulated surface ozone concentrations

Online coupled regional meteorology chemistry models in Europe: current status and prospects

Variational data assimilation for the optimized ozone initial state and the short-time forecasting

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