Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-2357-2016
© Author(s) 2016. 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-9-2357-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 May 2016
Research article |
| 30 May 2016
OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B
German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Weßling, Germany
Diego Loyola
German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Weßling, Germany
Sebastián Gimeno García
German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Weßling, Germany
Fabian Romahn
German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Weßling, Germany
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Cited
21 citations as recorded by crossref.
- Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al. 10.5194/amt-15-6257-2022
- Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data L. Lelli et al. 10.3389/fenvs.2016.00043
- The Global Ozone Monitoring Experiment: review of in-flight performance and new reprocessed 1995–2011 level 1 product M. Coldewey-Egbers et al. 10.5194/amt-11-5237-2018
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- Nitrogen dioxide decline and rebound observed by GOME-2 and TROPOMI during COVID-19 pandemic S. Liu et al. 10.1007/s11869-021-01046-2
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. 10.1016/j.atmosres.2019.03.017
- Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. 10.3390/rs12010030
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
- Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
- Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine Learning Method K. Chan et al. 10.3390/rs13050969
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. 10.5194/amt-17-6163-2024
- An advanced spatial coregistration of cloud properties for the atmospheric Sentinel missions: application to TROPOMI A. Argyrouli et al. 10.5194/amt-17-6345-2024
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- Overview of the O3M SAF GOME-2 operational atmospheric composition and UV radiation data products and data availability S. Hassinen et al. 10.5194/amt-9-383-2016
20 citations as recorded by crossref.
- Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al. 10.5194/amt-15-6257-2022
- Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data L. Lelli et al. 10.3389/fenvs.2016.00043
- The Global Ozone Monitoring Experiment: review of in-flight performance and new reprocessed 1995–2011 level 1 product M. Coldewey-Egbers et al. 10.5194/amt-11-5237-2018
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- Nitrogen dioxide decline and rebound observed by GOME-2 and TROPOMI during COVID-19 pandemic S. Liu et al. 10.1007/s11869-021-01046-2
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. 10.1016/j.atmosres.2019.03.017
- Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. 10.3390/rs12010030
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
- Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
- Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine Learning Method K. Chan et al. 10.3390/rs13050969
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. 10.5194/amt-17-6163-2024
- An advanced spatial coregistration of cloud properties for the atmospheric Sentinel missions: application to TROPOMI A. Argyrouli et al. 10.5194/amt-17-6345-2024
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
This paper presents a method for determining global cloud cover by analyzing satellite data. Knowledge of cloud coverage is not only important for climate studies but also provides valuable information in the monitoring of atmospheric trace gases. The research presented here is embedded in an operational chain, which allows us to derive the cloud-cover information in near real time, i.e., only hours after sensing by the satellite.
This paper presents a method for determining global cloud cover by analyzing satellite data....
