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Retrieving atmospheric turbulence information from regular commercial aircraft using Mode-S and ADS-B
Navigational information broadcast by commercial aircraft in the form of Mode-S EHS (Mode-S Enhan...
JM Kopec, K Kwiatkowski, S de Haan, SP Malinowski | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2016 | doi: 10.5194/amt-9-2253-2016
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Long-range atmospheric infrasound propagation from subsurface sources
In seismology and ocean acoustics, the interface with the atmosphere is typically represented as ...
G Averbuch, JD Assink, LG Evers | Status: published | Journal: J.A.S.A. | Volume: 147 | Year: 2020 | First page: 1264 | Last page: 1274 | doi: 10.1121/10.0000792
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A seismo-acoustic analysis of the 2017 North Korean nuclear test
The 2017 North Korean nuclear test gave rise to seismic and low-frequency acoustic signals, i.e. ...
JD Assink, G Averbuch, S Shani Kadmiel, PSM Smets, LG Evers | Status: published | Journal: Seismological Research Letters | Volume: 89 | Year: 2018 | doi: 10.1785/0220180137
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An efficient training scheme for supermodels
Weather and climate models have improved steadily over time as witnessed by objective skill score...
Francine J. Schevenhoven, Frank M. Selten | Journal: Earth System Dynamics | Volume: 8 | Year: 2017 | First page: 429 | Last page: 438 | doi: https://doi.org/10.5194/esd-8-429-2017
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Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.
Geostationary satellites observe the earth surface and atmosphere with a short repeat
time, thus...
Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980
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