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Geosci. Model Dev., 11, 2419-2427, 2018
https://doi.org/10.5194/gmd-11-2419-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model description paper
20 Jun 2018
High-performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2)
Thomas Block1, Sabine Embacher1, Christopher J. Merchant2, and Craig Donlon3 1Brockmann Consult GmbH, Max-Planck-Str. 2, 21502 Geesthacht, Germany
2Department of Meteorology, University of Reading, Reading, RG6 6AL, UK
3ESA-ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Abstract. We present a multisensor matchup system (MMS) that allows systematic detection of satellite-based sensor-to-sensor matchups and the extraction of local subsets of satellite data around matchup locations. The software system implements a generic matchup-detection approach and is currently being used for validation and sensor harmonization purposes. An overview of the flexible and highly configurable software architecture and the target processing environments is given. We discuss improvements implemented with respect to heritage systems, and present some performance comparisons. A detailed description of the intersection algorithm is given, which allows a fast matchup detection in geometry and time.
Citation: Block, T., Embacher, S., Merchant, C. J., and Donlon, C.: High-performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2), Geosci. Model Dev., 11, 2419-2427, https://doi.org/10.5194/gmd-11-2419-2018, 2018.
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Short summary
For calibration and validation purposes it is necessary to detect simultaneous data acquisitions from different spaceborne platforms. We present an algorithm and a software system which implements a general approach to resolve this problem. The multisensor matchup system (MMS) can detect simultaneous acquisitions in a large dataset (> 100 TB) and extract data for matching locations for further analysis. The MMS implements a flexible software infrastructure and allows for high parallelization.
For calibration and validation purposes it is necessary to detect simultaneous data acquisitions...
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