C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting
System of ECMWF

Huijnen, Vincent; Flemming, Johannes; Chabrillat, Simon; Errera, Quentin; Christophe, Yves; Blechschmidt, Anne-Marlene; Richter, Andreas; Eskes, Henk

doi:10.5194/gmd-9-3071-2016

Cited by 32 publications

(46 citation statements)

References 72 publications

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“…The IFS is originally a numerical weather prediction system dedicated to operational meteorological forecasts. It was extended to forecast and assimilate aerosols Benedetti et al, 2009), greenhouse gases Agustí-Panareda et al, 2014), and reactive trace gases (Flemming et al, 2009Huijnen et al, 2019). "IFS-AER" denotes the IFS extended with the bin-bulk aerosol scheme used to provide aerosol products in the CAMS project.…”

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confidence: 99%

Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)

et al. 2019

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Abstract. This article describes the IFS-AER aerosol module used operationally in the Integrated Forecasting System (IFS) cycle 45R1, operated by the European Centre for Medium-Range Weather Forecasts (ECMWF) in the framework of the Copernicus Atmospheric Monitoring Services (CAMS). We describe the different parameterizations for aerosol sources, sinks, and its chemical production in IFS-AER, as well as how the aerosols are integrated in the larger atmospheric composition forecasting system. The focus is on the entire 45R1 code base, including some components that are not used operationally, in which case this will be clearly specified. This paper is an update to the Morcrette et al. (2009) article that described aerosol forecasts at the ECMWF using cycle 32R2 of the IFS. Between cycles 32R2 and 45R1, a number of source and sink processes have been reviewed and/or added, notably increasing the complexity of IFS-AER. A greater integration with the tropospheric chemistry scheme of the IFS has been achieved for the sulfur cycle and for nitrate production. Two new species, nitrate and ammonium, have also been included in the forecasting system. Global budgets and aerosol optical depth (AOD) fields are shown, as is an evaluation of the simulated particulate matter (PM) and AOD against observations, showing an increase in skill from cycle 40R2, used in the CAMS interim ReAnalysis (CAMSiRA), to cycle 45R1.

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Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)

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“…perform a chemistry module intercomparison including CB05BASCOE and MOZART within a global chemistry modeling framework (Huijnen et al, 2019),…”

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The community atmospheric chemistry box model CAABA/MECCA-4.0

Baumgaertner²,

et al. 2019

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We present version 4.0 of the atmospheric chemistry box model CAABA/MECCA that now includes a number of new features: (i) skeletal mechanism reduction, (ii) the Mainz Organic Mechanism (MOM) chemical mechanism for volatile organic compounds, (iii) an option to include reactions from the Master Chemical Mechanism (MCM) and other chemical mechanisms, (iv) updated isotope tagging, and (v) improved and new photolysis modules (JVAL, RAD-JIMT, DISSOC). Further, when MECCA is connected to a global model, the new feature of coexisting multiple chemistry mechanisms (PolyMECCA/CHEMGLUE) can be used. Additional changes have been implemented to make the code more user-friendly and to facilitate the analysis of the model results. Like earlier versions, CAABA/MECCA-4.0 is a community model published under the GNU General Public License.

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“…The rows of the AK give an indication of how the true profile is smoothed over the layers of the retrieval. An extended discussion on the information content that can be derived from AKs from GOME, SCIAMACHY, GOME-2 and OMI is presented by Keppens et al (2018). AKs are also an important factor in intercomparison of different ozone retrieval algorithms such as in Meijer et al (2006).…”

Section: Methodsmentioning

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Deriving tropospheric ozone from assimilated profiles

Peet

2019

Atmos. Chem. Phys.

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We derived global tropospheric ozone (O 3 ) columns from GOME-2A (Global Ozone Monitoring Experiment) and OMI (Ozone Monitoring Instrument) O 3 profiles, which were simultaneously assimilated into the TM5 (Tracer Model, version 5) global chemistry transport model for the year 2008. The horizontal model resolution has been increased by a factor of 6 for more accurate results. To reduce computational cost, the number of model layers has been reduced from 44 to 31. The model ozone fields are used to derive tropospheric ozone, which is defined here as the partial column between mean sea level and 6 km altitude. Two methods for calculating the tropospheric columns from the free model run and assimilated O 3 fields are compared. In the first method, we calculate the residual between assimilated total columns and the partial model column between 6 km and the top of atmosphere. In the second method, we perform a direct integration of the assimilated O 3 fields between the surface and 6 km. The results are validated against tropospheric columns derived from ozone sonde measurements. Our results show that the residual method has too large a variation to be used reliably for the determination of tropospheric ozone, so the direct integration method has been used instead. The median global bias is smaller for the assimilated O 3 fields than for the free model run, but the large variation makes it difficult to make definitive statements on a regional or local scale. The monthly mean ozone fields show significant improvements and more detail when comparing the assimilated O 3 fields with the free model run, especially for features such as biomass-burning-enhanced O 3 concentrations and outflow of O 3 rich air from Asia over the Pacific.Published by Copernicus Publications on behalf of the European Geosciences Union.

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C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF

Abstract: We present a model description and bench-

Cited by 32 publications

References 72 publications

Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)

Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)

The community atmospheric chemistry box model CAABA/MECCA-4.0

Deriving tropospheric ozone from assimilated profiles

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