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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 10
Atmos. Meas. Tech., 8, 4155–4170, 2015
https://doi.org/10.5194/amt-8-4155-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 4155–4170, 2015
https://doi.org/10.5194/amt-8-4155-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Oct 2015

Research article | 12 Oct 2015

APOLLO_NG – a probabilistic interpretation of the APOLLO legacy for AVHRR heritage channels

L. Klüser, N. Killius, and G. Gesell L. Klüser et al.
  • German Aerospace Center, German Remote Sensing Data Center, Oberpfaffenhofen, Weßling, Germany

Abstract. The cloud processing scheme APOLLO (AVHRR Processing scheme Over cLouds, Land and Ocean) has been in use for cloud detection and cloud property retrieval since the late 1980s. The physics of the APOLLO scheme still build the backbone of a range of cloud detection algorithms for AVHRR (Advanced Very High Resolution Radiometer) heritage instruments. The APOLLO_NG (APOLLO_NextGeneration) cloud processing scheme is a probabilistic interpretation of the original APOLLO method. It builds upon the physical principles that have served well in the original APOLLO scheme. Nevertheless, a couple of additional variables have been introduced in APOLLO_NG. Cloud detection is no longer performed as a binary yes/no decision based on these physical principles. It is rather expressed as cloud probability for each satellite pixel. Consequently, the outcome of the algorithm can be tuned from being sure to reliably identify clear pixels to conditions of reliably identifying definitely cloudy pixels, depending on the purpose. The probabilistic approach allows retrieving not only the cloud properties (optical depth, effective radius, cloud top temperature and cloud water path) but also their uncertainties. APOLLO_NG is designed as a standalone cloud retrieval method robust enough for operational near-realtime use and for application to large amounts of historical satellite data. The radiative transfer solution is approximated by the same two-stream approach which also had been used for the original APOLLO. This allows the algorithm to be applied to a wide range of sensors without the necessity of sensor-specific tuning. Moreover it allows for online calculation of the radiative transfer (i.e., within the retrieval algorithm) giving rise to a detailed probabilistic treatment of cloud variables. This study presents the algorithm for cloud detection and cloud property retrieval together with the physical principles from the APOLLO legacy it is based on. Furthermore a couple of example results from NOAA-18 are presented.

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The widely used cloud detection and retrieval scheme APOLLO (AVHRR Processing Over cLouds, Land and Ocean) has been used as the physical basis for a probabilistic formulation of the cloud detection and has been expanded by retrieval of additional cloud variables, like cloud effective radius. The paper introduces the metodology of the APOLLO_NextGeneration (APOLLO_NG) scheme as well as first applications to AVHRR and a short comparison of cloud detection results with the traditional APOLLO.
The widely used cloud detection and retrieval scheme APOLLO (AVHRR Processing Over cLouds, Land...
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