...
| Issue type | Description | Cycle | Note |
|---|---|---|---|
| Time-integrated deposition fluxes for chemical species have zero values | The time-integrated dry and wet deposition fluxes for chemical species with GRIB codes starting with 222 and 223 have zero values for all the times. These fields have data only start from June 2023. | 48r1 | |
| High SO2 values over north-eastern Brazil | High SO2 values over north-eastern Brazil on 18 January 2020 and 16 June 2020 at 06:00:00 are artificial and are due to the assimilation of some spurious satellite observations of SO2 in one of the datasets used by CAMS. | 47r1 | |
| BC concentrations in the mid/upper troposphere tend to be too high | Some of the low background BC concentrations in the mid/upper troposphere tend to be too high as an artefact of the data assimilation as it improves the total AOD. (They're still very low compared to polluted areas, but can be somewhat higher than they should.) This aspect of the impact of data assimilation on aerosol speciation is something that we're continuing to look into. (The accompanying "control run", a model-only product with no AOD assimilation, can often has a more realistic speciation and vertical profile in this regard, but at the cost of a poorer agreement with observations of total AOD.) | 47r1 or 46r1 | |
Dust emissions are too high in cycle 46r1 | See details here: Dust emissions are too high in Cycle 46r1 | 46r1 | |
AOD and PM data are zero at forecast step 0 | Aerosol optical depth (AOD) and particulate matter (PM10, PM2.5) at forecast step 0: all values are zero | 41r1 and 43r1 |
...
How to cite the data
Dataset DOI and Citation
Please refer to the "References" section on the catalogue entry page of this dataset in
...
the Atmosphere Data Store (ADS)
...
Please acknowledge the use of the CAMS as stated in the Licence to Use Copernicus Products:
...
'Generated using Copernicus Atmosphere Monitoring Service Information [Year]'
...
'Contains modified Copernicus Atmosphere Monitoring Service Information [Year]';
Any such publication or distribution shall state that "neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains."
Indicate where data was downloaded from:
...
<authors> (year of publication) data downloaded from the Copernicus Atmosphere Monitoring Service (ADS) Atmosphere Data Store (ADS) (doi or url)
...
check with Johannes. Format is:
...
as it provides the DOI number as well as details on dataset citation and attribution.
References
- Agustí-Panareda, A., Massart, S., Chevallier, F., Balsamo, G., Boussetta, S., Dutra, E., and Beljaars, A., 2016: A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts, Atmos. Chem. Phys., 16, 10399–10418, https://doi.org/10.5194/acp-16-10399-2016
- Agustí-Panareda, A., Massart, S., Chevallier, F., Boussetta, S., Balsamo, G., Beljaars, A., Ciais, P., Deutscher, N. M., Engelen, R., Jones, L., Kivi, R., Paris, J.-D., Peuch, V.-H., Sherlock, V., Vermeulen, A. T., Wennberg, P. O., and Wunch, D., 2014: Forecasting global atmospheric CO2, Atmos. Chem. Phys., 14, 11959–11983, https://doi.org/10.5194/acp-14-11959-2014
- Barré, J., Aben, I., Agustí-Panareda, A., Balsamo, G., Bousserez, N., Dueben, P., Engelen, R., Inness, A., Lorente, A., McNorton, J., Peuch, V.-H., Radnoti, G., and Ribas, R.: Systematic detection of local CH4emissions anomalies combining satellite measurements and high-resolution forecasts, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-550, in review, 2020.
- Bozzo, A. and Benedetti, A. and Flemming, J. and Kipling, Z. and Rémy, S., 2020: An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 3, 1007–1034, https://doi.org/10.5194/gmd-13-1007-2020
- Diamantakis, M. and , 2017: A positive definite tracer mass fixer for high resolution weather and atmospheric composition forecasts, ECMWF Technical Memoranda, No. 819, 2017.
- Flemming, J., Huijnen, V., Arteta, J., Bechtold, P., Beljaars, A., Blechschmidt, A.-M., Diamantakis, M., Engelen, R. J., Gaudel, A., Inness, A., Jones, L., Josse, B., Katragkou, E., Marecal, V., Peuch, V.-H., Richter, A., Schultz, M. G., Stein, O., and Tsikerdekis, A., 2015: Tropospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 8, 975–1003, https://doi.org/10.5194/gmd-8-975-2015
- Flemming, J. and Benedetti, A. and Inness, A. and Engelen, R. J. and Jones, L. and Huijnen, V. and Remy, S. and Parrington, M. and Suttie, M. and Bozzo, A. and Peuch, V.-H. and Akritidis, D. and Katragkou, E., 2017: The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015, Atmos. Chem. Phys.,17, 1945-1983, https://doi.org/10.5194/acp-17-1945-2017
- Huijnen, V. and Flemming, J. and Chabrillat, S. and Errera, Q. and Christophe, Y. and Blechschmidt, A.-M. and Richter, A. and Eskes, H., 2016: C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 9, 3071–3091, https://doi.org/10.5194/gmd-9-3071-2016
- Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A., Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J., Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M., Peuch, V.-H., Razinger, M., Remy, S., Schulz, M., and Suttie, M., 2019: The CAMS reanalysis of atmospheric composition, Atmos. Chem. Phys., 19, 3515–3556, https://doi.org/10.5194/acp-19-3515-2019
- Inness, A. and Flemming, J. and Heue, K.-P. and Lerot, C. and Loyola, D. and Ribas, R. and Valks, P. and van Roozendael, M. and Xu, J. and Zimmer, W., 2019: Monitoring and assimilation tests with TROPOMI data in the CAMS system:
near-real-time total column ozone, Atmos. Chem. Phys., 19, 3939–3962, https://acp.copernicus.org/articles/19/3939/2019/ - Inness, A. and Coauthors, 2015: Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS, Atmos. Chem. Phys., 15, 5275-5303, https://doi.org/10.5194/acp-15-5275-2015
- Massart, S., Agusti-Panareda, A., Aben, I., Butz, A., Chevallier, F., Crevoisier, C., Engelen, R., Frankenberg, C., and Hasekamp, O., 2014: Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI, Atmos. Chem. Phys., 14, 6139–6158, https://doi.org/10.5194/acp-14-6139-2014
- Massart, S., Agustí-Panareda, A., Heymann, J., Buchwitz, M., Chevallier, F., Reuter, M., Hilker, M., Burrows, J. P., Deutscher, N. M., Feist, D. G., Hase, F., Sussmann, R., Desmet, F., Dubey, M. K., Griffith, D. W. T., Kivi, R., Petri, C., Schneider, M., and Velazco, V. A., 2016: Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales, Atmos. Chem. Phys., 16, 1653–1671, https://doi.org/10.5194/acp-16-1653-2016
- Rémy, S. and Kipling, Z. and Flemming, J. and Boucher, O. and Nabat, P. and Michou, M. and Bozzo, A. and Ades, M. and Huijnen, V. and Benedetti, A. and Engelen, R. and Peuch, V.-H. and Morcrette, J.-J., 2019: 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), Geosci. Model Dev., 12, 4627-4659, https://doi.org/10.5194/gmd-12-4627-2019
...