Articles | Volume 2, issue 4
https://doi.org/10.5194/acp-2-271-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-2-271-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
28 Oct 2002
Global ozone forecasting based on ERS-2 GOME observations
H. J. Eskes
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
P. F. J. van Velthoven
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
H. M. Kelder
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
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Cited
16 citations as recorded by crossref.
- Indicator of UV Index Intervals M. Letić https://doi.org/10.1111/j.1751-1097.2008.00489.x
- Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. https://doi.org/10.5194/acp-15-5275-2015
- Stratosphere–troposphere coupling during extreme weather change in Alaska in January–February 1989: case study R. Yu et al. https://doi.org/10.1016/j.aeaoa.2026.100478
- Data assimilation of stratospheric constituents: a review W. Lahoz et al. https://doi.org/10.5194/acp-7-5745-2007
- The COST 723 Action W. Lahoz et al. https://doi.org/10.1002/qj.158
- Forecasts and assimilation experiments of the Antarctic ozone hole 2008 J. Flemming et al. https://doi.org/10.5194/acp-11-1961-2011
- Antarctic Ozone Transport and Depletion in Austral Spring 2002 P. Siegmund et al. https://doi.org/10.1175/JAS-3320.1
- Assimilation of ozone profiles from the Improved Limb Atmospheric Spectrometer‐II: Study of Antarctic ozone I. Stajner et al. https://doi.org/10.1029/2005JD006448
- Improved hurricane forecasting from a variational bogus and ozone data assimilation (BODA) scheme: case study Y. Liu & W. Zhang https://doi.org/10.1007/s00703-016-0460-2
- Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment L. Steffenel et al. https://doi.org/10.1007/s10994-020-05944-x
- Data assimilation with the Canadian middle atmosphere model S. Polavarapu et al. https://doi.org/10.3137/ao.430105
- An empirical model to predict the UV‐index based on solar zenith angles and total ozone M. Allaart et al. https://doi.org/10.1017/S1350482703001130
- Some challenges of middle atmosphere data assimilation S. Polavarapu et al. https://doi.org/10.1256/qj.05.87
- The MACC reanalysis: an 8 yr data set of atmospheric composition A. Inness et al. https://doi.org/10.5194/acp-13-4073-2013
- Ozone Forecasts of the Stratospheric Polar Vortex–Splitting Event in September 2002 H. Eskes et al. https://doi.org/10.1175/JAS-3337.1
- Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. https://doi.org/10.5194/acp-16-15629-2016
16 citations as recorded by crossref.
- Indicator of UV Index Intervals M. Letić https://doi.org/10.1111/j.1751-1097.2008.00489.x
- Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. https://doi.org/10.5194/acp-15-5275-2015
- Stratosphere–troposphere coupling during extreme weather change in Alaska in January–February 1989: case study R. Yu et al. https://doi.org/10.1016/j.aeaoa.2026.100478
- Data assimilation of stratospheric constituents: a review W. Lahoz et al. https://doi.org/10.5194/acp-7-5745-2007
- The COST 723 Action W. Lahoz et al. https://doi.org/10.1002/qj.158
- Forecasts and assimilation experiments of the Antarctic ozone hole 2008 J. Flemming et al. https://doi.org/10.5194/acp-11-1961-2011
- Antarctic Ozone Transport and Depletion in Austral Spring 2002 P. Siegmund et al. https://doi.org/10.1175/JAS-3320.1
- Assimilation of ozone profiles from the Improved Limb Atmospheric Spectrometer‐II: Study of Antarctic ozone I. Stajner et al. https://doi.org/10.1029/2005JD006448
- Improved hurricane forecasting from a variational bogus and ozone data assimilation (BODA) scheme: case study Y. Liu & W. Zhang https://doi.org/10.1007/s00703-016-0460-2
- Forecasting upper atmospheric scalars advection using deep learning: an $$O_3$$ experiment L. Steffenel et al. https://doi.org/10.1007/s10994-020-05944-x
- Data assimilation with the Canadian middle atmosphere model S. Polavarapu et al. https://doi.org/10.3137/ao.430105
- An empirical model to predict the UV‐index based on solar zenith angles and total ozone M. Allaart et al. https://doi.org/10.1017/S1350482703001130
- Some challenges of middle atmosphere data assimilation S. Polavarapu et al. https://doi.org/10.1256/qj.05.87
- The MACC reanalysis: an 8 yr data set of atmospheric composition A. Inness et al. https://doi.org/10.5194/acp-13-4073-2013
- Ozone Forecasts of the Stratospheric Polar Vortex–Splitting Event in September 2002 H. Eskes et al. https://doi.org/10.1175/JAS-3337.1
- Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. https://doi.org/10.5194/acp-16-15629-2016
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