A multi-physics ensemble modeling framework for reliable C2n estimation

Maximilian Pierzyna; Rudolf Saathof; Sukanta Basu

doi:10.1117/12.2680997

19 October 2023 A multi-physics ensemble modeling framework for reliable C²_n estimation

Maximilian Pierzyna, Rudolf Saathof, Sukanta Basu

Proceedings Volume 12731, Environmental Effects on Light Propagation and Adaptive Systems VI; 127310N (2023) https://doi.org/10.1117/12.2680997
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Free-Space Optical Communication (FSOC) links are considered a key technology to support the increasing needs of our connected, data-heavy world, but they are prone to disturbance through atmospheric processes such as optical turbulence. Since turbulence is highly dependent on local topographic and meteorological conditions, modeling optical turbulence strength (see manuscript PDF for symbol) is challenging during the design phase of an optical link or network. Over the past 25 years, (see manuscript PDF for symbol) parameterizations of varying complexities have been combined with various numerical weather prediction models for the spatio-temporal estimation of (see manuscript PDF for symbol). However, the outputs of these models can exhibit substantial variability based on the user-defined configuration that determines how atmospheric processes are represented. To address this concern, we propose to run not a single model configuration but multiple diverse ones to generate an ensemble estimate of (see manuscript PDF for symbol). We employ the Weather Research and Forecasting model (WRF) with ten different Planetary Boundary Layer (PBL) physics schemes forming a diverse ensemble yielding a probabilistic (see manuscript PDF for symbol) estimate. We demonstrate that this ensemble outperforms the individual runs when compared to scintillometer field measurements and show it to be robust against outliers. We believe that FSOC downstream tasks such as link budget estimations should also become more robust if based on a (see manuscript PDF for symbol) ensemble estimate compared to single model runs.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Maximilian Pierzyna, Rudolf Saathof, and Sukanta Basu "A multi-physics ensemble modeling framework for reliable C²_n estimation", Proc. SPIE 12731, Environmental Effects on Light Propagation and Adaptive Systems VI, 127310N (19 October 2023); https://doi.org/10.1117/12.2680997

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