Articles | Volume 2, issue 1
https://doi.org/10.5194/amt-2-87-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-2-87-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
07 Apr 2009
Six years of total ozone column measurements from SCIAMACHY nadir observations
C. Lerot
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
M. Van Roozendael
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
J. van Geffen
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
J. van Gent
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
C. Fayt
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
R. Spurr
RT Solutions, Inc., Cambridge, Massachusetts, USA
G. Lichtenberg
German Aerospace Center (DLR), P.O. Box 1116, 82234 Wessling, Germany
A. von Bargen
German Aerospace Center (DLR), P.O. Box 1116, 82234 Wessling, Germany
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Cited
27 citations as recorded by crossref.
- Influence of cloud properties on satellite total ozone observations M. Antón & D. Loyola https://doi.org/10.1029/2010JD014780
- Three years of ground-based total ozone measurements in the Arctic: Comparison with OMI, GOME and SCIAMACHY satellite data A. Damiani et al. https://doi.org/10.1016/j.rse.2012.08.023
- Evaluating a new homogeneous total ozone climate data record from GOME/ERS‐2, SCIAMACHY/Envisat, and GOME‐2/MetOp‐A M. Koukouli et al. https://doi.org/10.1002/2015JD023699
- A new health check of the ozone layer at global and regional scales M. Coldewey‐Egbers et al. https://doi.org/10.1002/2014GL060212
- TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions K. Garane et al. https://doi.org/10.5194/amt-12-5263-2019
- RETRACTED ARTICLE: On using stacked neural network for multi-sensor data merging to enhance aerosol data assimilation A. Ali et al. https://doi.org/10.1007/s00521-012-1318-2
- Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura M. Koukouli et al. https://doi.org/10.5194/amt-5-2169-2012
- Absorption cross-sections of ozone in the ultraviolet and visible spectral regions: Status report 2015 J. Orphal et al. https://doi.org/10.1016/j.jms.2016.07.007
- Retrieval of the total ozone over Antarctica using Sentinel-3 ocean and land colour instrument A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2020.107045
- Sensitivity of Dobson and Brewer Umkehr ozone profile retrievals to ozone cross-sections and stray light effects I. Petropavlovskikh et al. https://doi.org/10.5194/amt-4-1841-2011
- Bias Correction of Multi-sensor Total Column Ozone Satellite Data for 1978–2017 H. NAOE et al. https://doi.org/10.2151/jmsj.2020-019
- GOME-2 total ozone columns from MetOp-A/MetOp-B and assimilation in the MACC system N. Hao et al. https://doi.org/10.5194/amt-7-2937-2014
- The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME C. Lerot et al. https://doi.org/10.1080/01431160902893576
- Global long-term monitoring of the ozone layer – a prerequisite for predictions D. Loyola et al. https://doi.org/10.1080/01431160902825016
- Improved spectral fitting of nitrogen dioxide from OMI in the 405–465 nm window J. van Geffen et al. https://doi.org/10.5194/amt-8-1685-2015
- The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative M. Coldewey-Egbers et al. https://doi.org/10.5194/amt-8-3923-2015
- Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. https://doi.org/10.5194/acp-19-3939-2019
- Multi sensor reanalysis of total ozone R. van der A et al. https://doi.org/10.5194/acp-10-11277-2010
- Comparison of profile total ozone from SBUV (v8.6) with GOME-type and ground-based total ozone for a 16-year period (1996 to 2011) E. Chiou et al. https://doi.org/10.5194/amt-7-1681-2014
- Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records D. Loyola & M. Coldewey-Egbers https://doi.org/10.1186/1687-6180-2012-91
- Total ozone column derived from GOME and SCIAMACHY using KNMI retrieval algorithms: Validation against Brewer measurements at the Iberian Peninsula M. Antón et al. https://doi.org/10.1029/2011JD016436
- The CAMS reanalysis of atmospheric composition A. Inness et al. https://doi.org/10.5194/acp-19-3515-2019
- An investigation of temporal variability of the total column ozone over tropical urban, high altitude, and coastal stations in Western Maharashtra, India G. Kutal et al. https://doi.org/10.1080/01431161.2017.1283073
- 基于EMI-01A的臭氧柱总量反演研究 钱. Qian Yuanyuan et al. https://doi.org/10.3788/AOS251971
- Direct-sun total ozone data from a spectroradiometer: methodology and comparison with satellite observations M. Antón et al. https://doi.org/10.5194/amt-6-637-2013
- An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. https://doi.org/10.5194/gmd-13-1513-2020
- The GOME-2 total column ozone product: Retrieval algorithm and ground-based validation D. Loyola et al. https://doi.org/10.1029/2010JD014675
27 citations as recorded by crossref.
- Influence of cloud properties on satellite total ozone observations M. Antón & D. Loyola https://doi.org/10.1029/2010JD014780
- Three years of ground-based total ozone measurements in the Arctic: Comparison with OMI, GOME and SCIAMACHY satellite data A. Damiani et al. https://doi.org/10.1016/j.rse.2012.08.023
- Evaluating a new homogeneous total ozone climate data record from GOME/ERS‐2, SCIAMACHY/Envisat, and GOME‐2/MetOp‐A M. Koukouli et al. https://doi.org/10.1002/2015JD023699
- A new health check of the ozone layer at global and regional scales M. Coldewey‐Egbers et al. https://doi.org/10.1002/2014GL060212
- TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions K. Garane et al. https://doi.org/10.5194/amt-12-5263-2019
- RETRACTED ARTICLE: On using stacked neural network for multi-sensor data merging to enhance aerosol data assimilation A. Ali et al. https://doi.org/10.1007/s00521-012-1318-2
- Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura M. Koukouli et al. https://doi.org/10.5194/amt-5-2169-2012
- Absorption cross-sections of ozone in the ultraviolet and visible spectral regions: Status report 2015 J. Orphal et al. https://doi.org/10.1016/j.jms.2016.07.007
- Retrieval of the total ozone over Antarctica using Sentinel-3 ocean and land colour instrument A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2020.107045
- Sensitivity of Dobson and Brewer Umkehr ozone profile retrievals to ozone cross-sections and stray light effects I. Petropavlovskikh et al. https://doi.org/10.5194/amt-4-1841-2011
- Bias Correction of Multi-sensor Total Column Ozone Satellite Data for 1978–2017 H. NAOE et al. https://doi.org/10.2151/jmsj.2020-019
- GOME-2 total ozone columns from MetOp-A/MetOp-B and assimilation in the MACC system N. Hao et al. https://doi.org/10.5194/amt-7-2937-2014
- The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME C. Lerot et al. https://doi.org/10.1080/01431160902893576
- Global long-term monitoring of the ozone layer – a prerequisite for predictions D. Loyola et al. https://doi.org/10.1080/01431160902825016
- Improved spectral fitting of nitrogen dioxide from OMI in the 405–465 nm window J. van Geffen et al. https://doi.org/10.5194/amt-8-1685-2015
- The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative M. Coldewey-Egbers et al. https://doi.org/10.5194/amt-8-3923-2015
- Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. https://doi.org/10.5194/acp-19-3939-2019
- Multi sensor reanalysis of total ozone R. van der A et al. https://doi.org/10.5194/acp-10-11277-2010
- Comparison of profile total ozone from SBUV (v8.6) with GOME-type and ground-based total ozone for a 16-year period (1996 to 2011) E. Chiou et al. https://doi.org/10.5194/amt-7-1681-2014
- Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records D. Loyola & M. Coldewey-Egbers https://doi.org/10.1186/1687-6180-2012-91
- Total ozone column derived from GOME and SCIAMACHY using KNMI retrieval algorithms: Validation against Brewer measurements at the Iberian Peninsula M. Antón et al. https://doi.org/10.1029/2011JD016436
- The CAMS reanalysis of atmospheric composition A. Inness et al. https://doi.org/10.5194/acp-19-3515-2019
- An investigation of temporal variability of the total column ozone over tropical urban, high altitude, and coastal stations in Western Maharashtra, India G. Kutal et al. https://doi.org/10.1080/01431161.2017.1283073
- 基于EMI-01A的臭氧柱总量反演研究 钱. Qian Yuanyuan et al. https://doi.org/10.3788/AOS251971
- Direct-sun total ozone data from a spectroradiometer: methodology and comparison with satellite observations M. Antón et al. https://doi.org/10.5194/amt-6-637-2013
- An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. https://doi.org/10.5194/gmd-13-1513-2020
- The GOME-2 total column ozone product: Retrieval algorithm and ground-based validation D. Loyola et al. https://doi.org/10.1029/2010JD014675
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