Articles | Volume 8, issue 5
https://doi.org/10.5194/amt-8-2001-2015
© Author(s) 2015. 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-8-2001-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Peer-reviewed comment
| 
06 May 2015
Peer-reviewed comment |
| 06 May 2015
Comparing satellite- to ground-based automated and manual cloud coverage observations – a case study
A. Werkmeister
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Herrenhaeuser Str. 2, 30419 Hannover, Germany
now at: Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, 3149 Miami, USA
M. Lockhoff
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
M. Schrempf
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Herrenhaeuser Str. 2, 30419 Hannover, Germany
K. Tohsing
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Herrenhaeuser Str. 2, 30419 Hannover, Germany
National Institute of Water and Atmospheric Research (NIWA), Lauder, Central Otago, New Zealand
G. Seckmeyer
CORRESPONDING AUTHOR
Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Herrenhaeuser Str. 2, 30419 Hannover, Germany
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- Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations N. Lagrosas et al. https://doi.org/10.3390/rs14040960
- Spatio-Temporal Distribution of Visibility over Nigeria Using Kernel Density Estimation Techniques for Fog-Induced Attenuation Y. Lawal et al. https://doi.org/10.3390/telecom6030062
- Comparison of Cloud Amounts Retrieved with Three Automatic Methods and Visual Observations M. Utrillas et al. https://doi.org/10.3390/atmos13060937
- Decade-Long Photometric Observations of Light Pollution and Cloud Effects on Night Sky Brightness in Hong Kong C. So et al. https://doi.org/10.3390/rs18111691
- Ground-based assessment of INSAT-3D cloud mask performance and Evaluation of cloud fraction characteristics over India: regional variability, periodicities and aerosol associations S. Sunil et al. https://doi.org/10.1080/01431161.2026.2679163
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- Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera J. Alonso-Montesinos https://doi.org/10.3390/rs12091382
- Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. https://doi.org/10.3390/rs13132455
- A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations M. Hofmann & G. Seckmeyer https://doi.org/10.3390/en10020248
- Comparison of methodologies for cloud cover estimation in Brazil - A case study E. Luiz et al. https://doi.org/10.1016/j.esd.2017.12.001
- UV Map Nowcasting and Comparison with Ground-Based UV Measurements for the DACH Region B. Klotz et al. https://doi.org/10.3390/rs17040629
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- Application of deep learning in cloud cover prediction using geostationary satellite images Y. Lee et al. https://doi.org/10.1080/15481603.2024.2440506
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- A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements S. Jafariserajehlou et al. https://doi.org/10.5194/amt-12-1059-2019
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- Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.asr.2025.06.024
23 citations as recorded by crossref.
- Cloud fraction determined by thermal infrared and visible all-sky cameras C. Aebi et al. https://doi.org/10.5194/amt-11-5549-2018
- Correlation Analysis of Solar Radiation and Cloud Parameters: A Case Study at Jambi Climatological Station Using Ground Observation and Reanalysis Data . Ariffudin et al. https://doi.org/10.1088/1742-6596/3139/1/012064
- Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations N. Lagrosas et al. https://doi.org/10.3390/rs14040960
- Spatio-Temporal Distribution of Visibility over Nigeria Using Kernel Density Estimation Techniques for Fog-Induced Attenuation Y. Lawal et al. https://doi.org/10.3390/telecom6030062
- Comparison of Cloud Amounts Retrieved with Three Automatic Methods and Visual Observations M. Utrillas et al. https://doi.org/10.3390/atmos13060937
- Decade-Long Photometric Observations of Light Pollution and Cloud Effects on Night Sky Brightness in Hong Kong C. So et al. https://doi.org/10.3390/rs18111691
- Ground-based assessment of INSAT-3D cloud mask performance and Evaluation of cloud fraction characteristics over India: regional variability, periodicities and aerosol associations S. Sunil et al. https://doi.org/10.1080/01431161.2026.2679163
- Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements F. Jeanneret et al. https://doi.org/10.5194/amt-11-4153-2018
- Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera J. Alonso-Montesinos https://doi.org/10.3390/rs12091382
- Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. https://doi.org/10.3390/rs13132455
- A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations M. Hofmann & G. Seckmeyer https://doi.org/10.3390/en10020248
- Comparison of methodologies for cloud cover estimation in Brazil - A case study E. Luiz et al. https://doi.org/10.1016/j.esd.2017.12.001
- UV Map Nowcasting and Comparison with Ground-Based UV Measurements for the DACH Region B. Klotz et al. https://doi.org/10.3390/rs17040629
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. https://doi.org/10.5194/amt-17-359-2024
- Application of deep learning in cloud cover prediction using geostationary satellite images Y. Lee et al. https://doi.org/10.1080/15481603.2024.2440506
- Cloud radiative effect, cloud fraction and cloud type at two stations in Switzerland using hemispherical sky cameras C. Aebi et al. https://doi.org/10.5194/amt-10-4587-2017
- A cloud identification algorithm over the Arctic for use with AATSR–SLSTR measurements S. Jafariserajehlou et al. https://doi.org/10.5194/amt-12-1059-2019
- Can photovoltaics be used to estimate cloud cover? S. Stylianou et al. https://doi.org/10.1080/14786451.2020.1777129
- Validation of photosynthetically active radiation by OLCI on Sentinel-3 against ground-based measurements in the central Mediterranean and possible aerosol effects M. Pecci et al. https://doi.org/10.1080/22797254.2024.2307617
- Comparing FY-2F/CTA products to ground-based manual total cloud cover observations in Xinjiang under complex underlying surfaces and different weather conditions S. Li et al. https://doi.org/10.5194/amt-17-2011-2024
- Cloudiness retrieved from All-Sky camera and MSG satellite over Reunion Island and Antananarivo Madagascar J. Rivonirina et al. https://doi.org/10.5194/angeo-43-651-2025
- Comparison of SAFNWC/MSG Satellite Cloud Type with Vaisala CL51 Ceilometer-Detected Cloud Base Layer Using the Sky Condition Algorithm and Vaisala BL-View Software M. Šálek & B. Szabó-Takács https://doi.org/10.3390/atmos10060316
- Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.asr.2025.06.024
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