Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-48
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
20 Jun 2017
Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Earth System Science Data (ESSD) and is expected to appear here in due course.
Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project
Martin Stengel1, Stefan Stapelberg1, Oliver Sus1, Cornelia Schlundt1, Caroline Poulsen2, Gareth Thomas2, Matthew Christensen2, Cintia Carbajal Henken3, Rene Preusker3, Jürgen Fischer3, Abhay Devasthale4, Ulrika Willén4, Karl-Göran Karlsson4, Gregory R. McGarragh5, Simon Proud5, Adam C. Povey6, Don G. Grainger6, Jan Fokke Meirink7, Artem Feofilov8, Ralf Bennartz9,10, Jedrzej Bojanowski11, and Rainer Hollmann1 1Deutscher Wetterdienst, Frankfurter Str. 135, 63067, Offenbach, Germany
2Rutherford Appleton Laboratory, Didcot, Oxfordshire, UK
3Institute for Space Sciences, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin, Germany
4Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
5Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
6National Centre for Earth Observation, University of Oxford, Oxford, OX1 3PU, UK
7Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
8Laboratoire de météorologie dynamique (LMD), Paris, France
9University of Wisconsin, Madison, Wisconsin, USA
10Vanderbilt University, Nashville, Tennessee, USA
11MeteoSwiss, Zurich, Switzerland
Abstract. New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing followed by cloud property retrievals based on the optimal estimation (OE) technique. The OE-based retrievals are applied to simultaneously retrieve cloud-top pressure, cloud particle effective radius and cloud optical thickness using measurements at visible, near-infrared and thermal infrared wavelengths, which ensures spectral consistency. The retrieved cloud properties are further processed to derive cloud-top height, cloud-top temperature, cloud liquid water path, cloud ice water path and spectral cloud albedo. The Cloud_cci products are pixel-based retrievals, daily composites of those on a global equal-angle latitude-longitude grid, and monthly cloud properties such as averages, standard deviations and histograms, also on a global grid. All products include rigorous propagation of the retrieval and sampling uncertainties. Grouping the orbital properties of the sensor families, six datasets have been defined, which are named: AVHRR-AM, AVHRR-PM, MODIS-Terra, MODIS-Aqua, ATSR2-AATSR and MERIS+AATSR, each comprising a specific subset of all available sensors. The individual characteristics of the datasets are presented together with a summary of the retrieval systems and measurement records on which the dataset generation were based. Example validation results are given, based on comparisons to well-established reference observations, which demonstrate the good quality of the data. Together with the ensured spectral consistency and rigorous uncertainty propagation though all processing levels, the Cloud_cci datasets approach new benchmarks for climate data records of cloud properties based on passive imaging sensors.

For each dataset a Digital Object Identifier has been issued:
Cloud_cci AVHRR-AM: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V002
Cloud_cci AVHRR-PM: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V002
Cloud_cci MODIS-Terra: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Terra/V002
Cloud_cci MODIS-Aqua: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Aqua/V002
Cloud_cci ATSR2-AATSR: https://doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V002
Cloud_cci MERIS+AATSR: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MERIS+AATSR/V002


Citation: Stengel, M., Stapelberg, S., Sus, O., Schlundt, C., Poulsen, C., Thomas, G., Christensen, M., Carbajal Henken, C., Preusker, R., Fischer, J., Devasthale, A., Willén, U., Karlsson, K.-G., McGarragh, G. R., Proud, S., Povey, A. C., Grainger, D. G., Meirink, J. F., Feofilov, A., Bennartz, R., Bojanowski, J., and Hollmann, R.: Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-48, in review, 2017.
Martin Stengel et al.

Data sets

Cloud_cci AVHRR-AM
M. Stengel, O. Sus, S. Stapelberg, C. Schlundt, C. Poulsen, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V002
Cloud_cci AVHRR-PM
M. Stengel, O. Sus, S. Stapelberg, C. Schlundt, C. Poulsen, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V002
Cloud_cci MODIS-Terra
M. Stengel, O. Sus, S. Stapelberg, C. Schlundt, C. Poulsen, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Terra/V002
Cloud_cci MODIS-Aqua
M. Stengel, O. Sus, S. Stapelberg, C. Schlundt, C. Poulsen, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Aqua/V002
Cloud_cci ATSR2-AATSR
C. Poulsen, G. McGarragh, G. Thomas, M. Christensen, A. Povey, D. Grainger, S. Proud, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V002
Cloud_cci MERIS+AATSR
C. Carbajal Henken, R. Preusker, J. Fischer, and R. Hollmann
https://doi.org/10.5676/DWD/ESA_Cloud_cci/MERIS+AATSR/V002
Martin Stengel et al.

Viewed

Total article views: 409 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
286 117 6 409 9 4

Views and downloads (calculated since 20 Jun 2017)

Cumulative views and downloads (calculated since 20 Jun 2017)

Viewed (geographical distribution)

Total article views: 409 (including HTML, PDF, and XML)

Thereof 409 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 19 Oct 2017
Download
Short summary
We present new cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS. Two retrieval systems were developed that include cloud detection and cloud typing followed by optimal estimation (OE) based retrievals of cloud properties (e.g. effective radius, optical thickness, water path). Special features of all datasets are spectral consistency and rigorous uncertainty propagation from pixel-level data to monthly properties.
We present new cloud property datasets based on measurements from the passive imaging satellite...
Share