Articles | Volume 4, issue 1
https://doi.org/10.5194/acp-4-255-2004
© Author(s) 2004. 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-4-255-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
09 Feb 2004
Retrieval methods of effective cloud cover from the GOME instrument: an intercomparison
O. N. E. Tuinder
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, The Netherlands
R. de Winter-Sorkina
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, The Netherlands
P. J. H. Builtjes
TNO MEP, Apeldoorn, The Netherlands
Viewed
Total article views: 3,024 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Jun 2002)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,594 | 1,230 | 200 | 3,024 | 179 | 143 |
- HTML: 1,594
- PDF: 1,230
- XML: 200
- Total: 3,024
- BibTeX: 179
- EndNote: 143
Total article views: 2,482 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 09 Feb 2004)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,350 | 947 | 185 | 2,482 | 163 | 136 |
- HTML: 1,350
- PDF: 947
- XML: 185
- Total: 2,482
- BibTeX: 163
- EndNote: 136
Total article views: 542 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Jun 2002)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 244 | 283 | 15 | 542 | 16 | 7 |
- HTML: 244
- PDF: 283
- XML: 15
- Total: 542
- BibTeX: 16
- EndNote: 7
Cited
18 citations as recorded by crossref.
- MERIS albedo climatology for FRESCO+ O2 A-band cloud retrieval C. Popp et al. https://doi.org/10.5194/amt-4-463-2011
- Intercomparison of cloud top altitudes as derived using GOME and ATSR-2 instruments onboard ERS-2 V. Rozanov et al. https://doi.org/10.1016/j.rse.2006.02.009
- Seven years of global retrieval of cloud properties using space-borne data of GOME L. Lelli et al. https://doi.org/10.5194/amt-5-1551-2012
- Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization K. Wałaszek et al. https://doi.org/10.1007/s00024-015-1227-2
- A fuzzy rule based approach to cloud cover estimation A. Ghosh et al. https://doi.org/10.1016/j.rse.2005.11.005
- Cloud and surface classification using SCIAMACHY polarization measurement devices W. Lotz et al. https://doi.org/10.5194/acp-9-1279-2009
- Synergetic cloud fraction determination for SCIAMACHY using MERIS C. Schlundt et al. https://doi.org/10.5194/amt-4-319-2011
- Retrieval of cloud parameters from satellite‐based reflectance measurements in the ultraviolet and the oxygen A‐band B. van Diedenhoven et al. https://doi.org/10.1029/2006JD008155
- Development and validation of a regional coupled atmosphere lake model for the Caspian Sea Basin U. Turuncoglu et al. https://doi.org/10.1007/s00382-012-1623-6
- Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval D. Rodriguez et al. https://doi.org/10.1109/TGRS.2007.901043
- Ten years of GOME/ERS‐2 total ozone data—The new GOME data processor (GDP) version 4: 1. Algorithm description M. Van Roozendael et al. https://doi.org/10.1029/2005JD006375
- FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals P. Wang et al. https://doi.org/10.5194/acp-8-6565-2008
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. https://doi.org/10.5194/amt-14-3989-2021
- Determination of the cloud fraction in the SCIAMACHY ground scene using MERIS spectral measurements A. Kokhanovsky et al. https://doi.org/10.1080/01431160902842326
- The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data M. Grzegorski et al. https://doi.org/10.5194/acp-6-4461-2006
- Global patterns in daytime cloud properties derived from GOME backscatter UV-VIS measurements D. Loyola R. et al. https://doi.org/10.1080/01431160903246741
- Formaldehyde distribution over North America: Implications for satellite retrievals of formaldehyde columns and isoprene emission D. Millet et al. https://doi.org/10.1029/2005JD006853
- The influence of broken cloudiness on cloud top height retrievals using nadir observations of backscattered solar radiation in the oxygen A-band A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2006.06.003
18 citations as recorded by crossref.
- MERIS albedo climatology for FRESCO+ O2 A-band cloud retrieval C. Popp et al. https://doi.org/10.5194/amt-4-463-2011
- Intercomparison of cloud top altitudes as derived using GOME and ATSR-2 instruments onboard ERS-2 V. Rozanov et al. https://doi.org/10.1016/j.rse.2006.02.009
- Seven years of global retrieval of cloud properties using space-borne data of GOME L. Lelli et al. https://doi.org/10.5194/amt-5-1551-2012
- Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization K. Wałaszek et al. https://doi.org/10.1007/s00024-015-1227-2
- A fuzzy rule based approach to cloud cover estimation A. Ghosh et al. https://doi.org/10.1016/j.rse.2005.11.005
- Cloud and surface classification using SCIAMACHY polarization measurement devices W. Lotz et al. https://doi.org/10.5194/acp-9-1279-2009
- Synergetic cloud fraction determination for SCIAMACHY using MERIS C. Schlundt et al. https://doi.org/10.5194/amt-4-319-2011
- Retrieval of cloud parameters from satellite‐based reflectance measurements in the ultraviolet and the oxygen A‐band B. van Diedenhoven et al. https://doi.org/10.1029/2006JD008155
- Development and validation of a regional coupled atmosphere lake model for the Caspian Sea Basin U. Turuncoglu et al. https://doi.org/10.1007/s00382-012-1623-6
- Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval D. Rodriguez et al. https://doi.org/10.1109/TGRS.2007.901043
- Ten years of GOME/ERS‐2 total ozone data—The new GOME data processor (GDP) version 4: 1. Algorithm description M. Van Roozendael et al. https://doi.org/10.1029/2005JD006375
- FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals P. Wang et al. https://doi.org/10.5194/acp-8-6565-2008
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. https://doi.org/10.5194/amt-14-3989-2021
- Determination of the cloud fraction in the SCIAMACHY ground scene using MERIS spectral measurements A. Kokhanovsky et al. https://doi.org/10.1080/01431160902842326
- The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data M. Grzegorski et al. https://doi.org/10.5194/acp-6-4461-2006
- Global patterns in daytime cloud properties derived from GOME backscatter UV-VIS measurements D. Loyola R. et al. https://doi.org/10.1080/01431160903246741
- Formaldehyde distribution over North America: Implications for satellite retrievals of formaldehyde columns and isoprene emission D. Millet et al. https://doi.org/10.1029/2005JD006853
- The influence of broken cloudiness on cloud top height retrievals using nadir observations of backscattered solar radiation in the oxygen A-band A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2006.06.003
Saved (final revised paper)
Latest update: 04 Jun 2026
Altmetrics
Final-revised paper
Preprint