Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3193-2016
© 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-9-3193-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of MODIS and VIIRS cloud properties with ARM ground-based observations over Finland
Department of Physics, Lund University, Lund, Sweden
Ewan J. O'Connor
Department of Meteorology, University of Reading, Reading, UK
Finnish Meteorological Institute, Helsinki, Finland
Nina Håkansson
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Anke Thoss
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Erik Swietlicki
Department of Physics, Lund University, Lund, Sweden
Tuukka Petäjä
Department of Physics, University of Helsinki, Helsinki, Finland
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Cited
9 citations as recorded by crossref.
- Research agenda for the Russian Far East and utilization of multi-platform comprehensive environmental observations T. Petäjä et al. https://doi.org/10.1080/17538947.2020.1826589
- A new method for estimating cloud optical depth from photovoltaic power measurements W. Wandji Nyamsi et al. https://doi.org/10.5194/amt-19-899-2026
- Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. https://doi.org/10.5194/acp-22-14603-2022
- BAECC: A Field Campaign to Elucidate the Impact of Biogenic Aerosols on Clouds and Climate T. Petäjä et al. https://doi.org/10.1175/BAMS-D-14-00199.1
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
- A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing Q. Liu et al. https://doi.org/10.3390/rs17061036
- Cloud characteristics in the Aravalli ranges of Western India: Insights from ground-based Lidar measurements D. Kamat et al. https://doi.org/10.1007/s42865-024-00075-w
- Biases of Sentinel-5P and Suomi-NPP Cloud Top Height Retrievals: A Global Comparison Z. Zheng et al. https://doi.org/10.3390/rs17213526
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. https://doi.org/10.5194/amt-16-2903-2023
9 citations as recorded by crossref.
- Research agenda for the Russian Far East and utilization of multi-platform comprehensive environmental observations T. Petäjä et al. https://doi.org/10.1080/17538947.2020.1826589
- A new method for estimating cloud optical depth from photovoltaic power measurements W. Wandji Nyamsi et al. https://doi.org/10.5194/amt-19-899-2026
- Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al. https://doi.org/10.5194/acp-22-14603-2022
- BAECC: A Field Campaign to Elucidate the Impact of Biogenic Aerosols on Clouds and Climate T. Petäjä et al. https://doi.org/10.1175/BAMS-D-14-00199.1
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
- A Preliminary Assessment of the VIIRS Cloud Top and Base Height Environmental Data Record Reprocessing Q. Liu et al. https://doi.org/10.3390/rs17061036
- Cloud characteristics in the Aravalli ranges of Western India: Insights from ground-based Lidar measurements D. Kamat et al. https://doi.org/10.1007/s42865-024-00075-w
- Biases of Sentinel-5P and Suomi-NPP Cloud Top Height Retrievals: A Global Comparison Z. Zheng et al. https://doi.org/10.3390/rs17213526
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. https://doi.org/10.5194/amt-16-2903-2023
Saved (final revised paper)
Latest update: 28 Oct 2026
Short summary
Satellite measurements of cloud top height and liquid water path are compared to ground-based remote sensing to evaluate the satellite retrievals. The overall performance of the satellite retrievals of cloud top height are good, but they become more problematic when several layers of clouds are present. The liquid water path retrievals also agree well, and the average differences are within the estimated measurement uncertainties.
Satellite measurements of cloud top height and liquid water path are compared to ground-based...
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