Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Murchie, Richard J., Huybrechts, Dolf, Strangfeld, Aaron, Mrozowski, Mateusz P.
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2509.17556
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866918183204552704
author Murchie, Richard J.
Huybrechts, Dolf
Strangfeld, Aaron
Mrozowski, Mateusz P.
author_facet Murchie, Richard J.
Huybrechts, Dolf
Strangfeld, Aaron
Mrozowski, Mateusz P.
contents Specular reflection can be problematic for the determination of the cloud thermodynamic phase for near-nadir-pointing space LIDARs. A LIDAR system biased towards the specular contribution for backscatter, if near-concurrent to a conventional LIDAR, could calibrate the measurements required for cloud phase determination. One such system which shows promise for this is quantum parametric mode sorting (QPMS) LIDAR. Through a non-linear interaction and time-frequency mode selectivity, this system demonstrates in-band noise-rejection beyond what linear noise filtering can provide. This level of noise-rejection means the signal strength can be minimised, therefore biasing the specular contribution to the return signal. Here we provide a theoretical model of QPMS LIDAR applied to this scenario to instruct its feasibility.
format Preprint
id arxiv_https___arxiv_org_abs_2509_17556
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Detection of isolated specular reflection for calibration of cloud thermodynamic phase estimation with quantum parametric mode sorting LIDAR
Murchie, Richard J.
Huybrechts, Dolf
Strangfeld, Aaron
Mrozowski, Mateusz P.
Quantum Physics
Atmospheric and Oceanic Physics
Specular reflection can be problematic for the determination of the cloud thermodynamic phase for near-nadir-pointing space LIDARs. A LIDAR system biased towards the specular contribution for backscatter, if near-concurrent to a conventional LIDAR, could calibrate the measurements required for cloud phase determination. One such system which shows promise for this is quantum parametric mode sorting (QPMS) LIDAR. Through a non-linear interaction and time-frequency mode selectivity, this system demonstrates in-band noise-rejection beyond what linear noise filtering can provide. This level of noise-rejection means the signal strength can be minimised, therefore biasing the specular contribution to the return signal. Here we provide a theoretical model of QPMS LIDAR applied to this scenario to instruct its feasibility.
title Detection of isolated specular reflection for calibration of cloud thermodynamic phase estimation with quantum parametric mode sorting LIDAR
topic Quantum Physics
Atmospheric and Oceanic Physics
url https://arxiv.org/abs/2509.17556