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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-312
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-312
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 05 Sep 2019

Submitted as: research article | 05 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Towards an operational Ice Cloud Imager (ICI) retrieval product

Patrick Eriksson1, Bengt Rydberg2, Vinia Mattioli3, Anke Thoss4, Christophe Accadia3, Ulf Klein5, and Stefan A. Buehler6 Patrick Eriksson et al.
  • 1Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
  • 2Möller Data Workflow Systems AB, Gothenburg, Sweden
  • 3EUMETSAT, Darmstadt, Germany
  • 4Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
  • 5European Space Agency/ESTEC, Noordwijk, Netherlands
  • 6Department of Earth Sciences, Universität Hamburg, Hamburg, Germany

Abstract. The second generation of the EUMETSAT Polar System (EPS-SG) will include the Ice Cloud Imager (ICI), the first operational sensor covering sub-millimetre wavelengths. Three copies of ICI will be launched that together will give a measurement series exceeding 20 years. Due to the novelty of ICI, preparing the data processing is especially important and challenging. This paper focuses on activities related to the operational product planned, but also presents basic technical characteristics of the instrument. A retrieval algorithm based on Bayesian Monte Carlo integration has been developed. The main retrieval quantities are ice water path (IWP), mean mass height (Zm) and mean mass diameter (Dm). A novel part of the algorithm is to fully present the inversion as a description of the posterior probability distribution. This is to prefer for ICI as its retrieval errors not always follow Gaussian statistics. A state-of-the-art retrieval database is used to test the algorithm and to give an updated estimate of the retrieval performance. The degrees of freedom in measured radiances, and consequently the retrieval precision, vary with cloud situation. According to present simulations, IWP, Zm and Dm can be determined with 90 % confidence at best inside 50 %, 700 m and 50 um, respectively. The retrieval requires that the data from the thirteen channels of ICI are remapped to a common footprint. First estimates of the errors introduced by this remapping are also presented.

Patrick Eriksson et al.
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Patrick Eriksson et al.
Patrick Eriksson et al.
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Short summary
The Ice Cloud Imager (ICI) will be the first operational satellite sensor operating at sub-millimeter wavelengths and this novel mission will thus provide important new data to weather forecasting and climate studies. The series of ICI instruments will together cover about 20 years. This article presents the basic technical characteristics of the sensor and outlines the day-one operational retrievals. An updated estimation of the expected retrieval performance is also presented.
The Ice Cloud Imager (ICI) will be the first operational satellite sensor operating at...
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