Tropospheric chemistry in the Integrated Forecasting  System of ECMWF

Flemming, Johannes; Huijnen, Vincent; Arteta, Joaquim; Bechtold, Peter; Beljaars, A.; Blechschmidt, A.-M.; Diamantakis, Michail; Engelen, Richard; Gaudel, Audrey; Inness, Antje; Jones, Luke; Josse, B.; Katragkou, Eleni; Marécal, Virginie; Peuch, Vincent-Henri; Richter, Andreas; Schultz, Martin; Stein, Olaf; Tsikerdekis, Athanasios

doi:10.5194/gmd-8-975-2015

Cited by 258 publications

(258 citation statements)

References 107 publications

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“…Estimates of the flash rate density are based on parameters of the convection scheme and calculated using convective precipitation as an input parameter (Meijer et al, 2001). Documentation of the technical implementation of C-IFS and more details about the model can be found in Flemming et al (2015). In the present study, the C-IFS aerosol fields are not used in the radiation scheme, where an aerosol climatology based on Tegen et al (1997) is used instead.…”

Section: Atmosmentioning

confidence: 99%

“…A basic initial validation of C-IFS fields can be found in Flemming et al (2015) and Inness et al (2015) and more detailed validation of C-IFS can be found in the validation reports available from http://www.copernicus-atmosphere.eu/. The chemistry scheme implemented in the C-IFS model version used for these experiments is an extended, modified version of the Carbon Bond Mechanism 5 (Yarwood et al, 2005) chemical mechanism as originally implemented in the chemistry transport model TM5 (Tracer Model 5) (Huijnen et al, 2010;Williams et al, 2013;Huijnen et al, 2014).…”

Section: Atmosmentioning

confidence: 99%

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The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

et al. 2015

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Abstract. The El Niño-Southern Oscillation (ENSO) not only affects meteorological fields but also has a large impact on atmospheric composition. Atmospheric composition fields from the Monitoring Atmospheric Composition and Climate (MACC) reanalysis are used to identify the ENSO signal in tropospheric ozone, carbon monoxide, nitrogen oxide and smoke aerosols, concentrating on the months October to December. During El Niño years, all of these fields have increased concentrations over maritime South East Asia in October. The MACC Composition Integrated Forecasting System (C-IFS) model is used to quantify the relative magnitude of dynamically induced and emission-driven changes in the atmospheric composition fields. While changes in tropospheric ozone are a combination of dynamically induced and emission-driven changes, the changes in carbon monoxide, nitrogen oxides and smoke aerosols are almost entirely emission-driven in the MACC model. The ozone changes continue into December, i.e. after the end of the Indonesian fire season while changes in the other fields are confined to the fire season.

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Section: Atmosmentioning

confidence: 99%

Section: Atmosmentioning

confidence: 99%

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

et al. 2015

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“…The ECMWF BC data were based on the Composition-Integrated Forecast System (C-IFS) model (Flemming et al, 2015), which outputs 3-hourly, three-dimensional gridded concentrations which were formatted for CAMx.…”

Section: Boundary Conditionsmentioning

confidence: 99%

Modeling intercontinental transport of ozone in North America with CAMx for the Air Quality Model Evaluation International Initiative (AQMEII) Phase 3

et al. 2017

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Abstract. Intercontinental ozone (O 3 ) transport extends the geographic range of O 3 air pollution impacts and makes local air pollution management more difficult. Phase 3 of the Air Quality Modeling Evaluation International Initiative (AQMEII-3) is examining the contribution of intercontinental transport to regional air quality by applying regionalscale atmospheric models jointly with global models. We investigate methods for tracing O 3 from global models within regional models. The CAMx photochemical grid model was used to track contributions from boundary condition (BC) O 3 over a North American modeling domain for calendar year 2010 using a built-in tracer module called RTCMC. RTCMC can track BC contributions using chemically reactive tracers and also using inert tracers in which deposition is the only sink for O 3 . Lack of O 3 destruction chemistry in the inert tracer approach leads to overestimation biases that can exceed 10 ppb. The flexibility of RTCMC also allows tracking O 3 contributions made by groups of vertical BC layers. The largest BC contributions to seasonal average daily maximum 8 h averages (MDA8) of O 3 over the US are found to be from the mid-troposphere (over 40 ppb) with small contributions (a few ppb) from the upper troposphere-lower stratosphere. Contributions from the lower troposphere are shown to not penetrate very far inland. Higher contributions in the western than the eastern US, reaching an average of 57 ppb in Denver for the 30 days with highest MDA8 O 3 in 2010, present a significant challenge to air quality management approaches based solely on local or US-wide emission reductions. The substantial BC contribution to MDA8 O 3 in the Intermountain West means regional models are particularly sensitive to any biases and errors in the BCs. A sensitivity simulation with reduced BC O 3 in response to 20 % lower emissions in Asia found a near-linear relationship between the BC O 3 changes and surface O 3 changes in the western US in all seasons and across the US in fall and winter. However, the surface O 3 decreases are small: below 1 ppb in spring and below 0.5 ppb in other seasons.

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“…More detailed validation results have been (and will be) described in several scientific papers from the individual partners of VAL Cuevas et al, 2015;Wagner et al, 2015;Langerock et al, 2015;Katragkou et al, 2015) or contributions to papers led by partners from other sub-projects of MACC Flemming et al, 2015;Pérez García-Pando et al, 2014;Stein et al, 2014;Cesnulyte et al, 2014). Several of these papers are submitted to the MACC special issue of the EGU Copernicus journals Atmospheric Chemistry and …”

Section: Introductionmentioning

confidence: 99%

Validation of reactive gases and aerosols in the MACC global analysis and forecast system

et al. 2015

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The European MACC (Monitoring Atmospheric Composition and Climate) project is preparing the operational Copernicus Atmosphere Monitoring Service (CAMS), one of the services of the European Copernicus Programme on Earth observation and environmental services. MACC uses data assimilation to combine in situ and remote sensing observations with global and regional models of atmospheric reactive gases, aerosols, and greenhouse gases, and is based on the Integrated Forecasting System of the European Centre for Medium-Range Weather Forecasts (ECMWF). The global component of the MACC service has a dedicated validation activity to document the quality of the atmospheric composition products. In this paper we discuss the approach to validation that has been developed over the past 3 years. Topics discussed are the validation requirements, the operational aspects, the measurement data sets used, the structure of the validation reports, the models and assimilation systems validated, the procedure to introduce new upgrades, and the scoring methods. One specific target of the MACC system concerns forecasting special events with high-pollution concentrations. Such events receive extra attention in the validation process. Finally, a summary is provided of the results from the validation of the latest set of daily global analysis and forecast products from the MACC system reported in November 2014

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Tropospheric chemistry in the Integrated Forecasting System of ECMWF

Cited by 258 publications

References 107 publications

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes

Modeling intercontinental transport of ozone in North America with CAMx for the Air Quality Model Evaluation International Initiative (AQMEII) Phase 3

Validation of reactive gases and aerosols in the MACC global analysis and forecast system

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