Advances in infrasonic remote sensing methods

Jelle Assink; Pieter Smets; Omar Marcillo; Cornelis Weemstra; Jean Marie Lalande; Roger Waxler; Läslo Evers

doi:10.1007/978-3-319-75140-5_18

Advances in infrasonic remote sensing methods

Jelle Assink, Pieter Smets, Omar Marcillo, Cornelis Weemstra, Jean Marie Lalande, Roger Waxler, Läslo Evers

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

29 Scopus citations

Abstract

Infrasound recordings can be used as input to inversion procedures to delineate the vertical structure of temperature and wind in a range of altitudes where ground-based or satellite measurements are rare and where fine-scale atmospheric structures are not resolved by the current atmospheric specifications. As infrasound is measuredworldwide, this allows for a remote sensing technique that can be applied globally. This chapter provides an overview of recently developed infrasonic remote sensing methods. The methods range from linearized inversions to direct search methods as well as interferometric techniques for atmospheric infrasound. The evaluation of numerical weather prediction (NWP) products shows the added value of infrasound, e.g., during sudden stratospheric warming (SSW) and equinox periods. The potential transition toward assimilation of infrasound in numerical weather prediction models is discussed.

Original language	English
Title of host publication	Infrasound Monitoring for Atmospheric Studies
Subtitle of host publication	Challenges in Middle Atmosphere Dynamics and Societal Benefits: Second Edition
Publisher	Springer International Publishing
Pages	605-632
Number of pages	28
ISBN (Electronic)	9783319751405
ISBN (Print)	9783319751382
DOIs	https://doi.org/10.1007/978-3-319-75140-5_18
State	Published - Oct 26 2018
Externally published	Yes

Funding

Funders	Funder number
Horizon 2020 Framework Programme	653980

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10.1007/978-3-319-75140-5_18

Cite this

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title = "Advances in infrasonic remote sensing methods",

abstract = "Infrasound recordings can be used as input to inversion procedures to delineate the vertical structure of temperature and wind in a range of altitudes where ground-based or satellite measurements are rare and where fine-scale atmospheric structures are not resolved by the current atmospheric specifications. As infrasound is measuredworldwide, this allows for a remote sensing technique that can be applied globally. This chapter provides an overview of recently developed infrasonic remote sensing methods. The methods range from linearized inversions to direct search methods as well as interferometric techniques for atmospheric infrasound. The evaluation of numerical weather prediction (NWP) products shows the added value of infrasound, e.g., during sudden stratospheric warming (SSW) and equinox periods. The potential transition toward assimilation of infrasound in numerical weather prediction models is discussed.",

author = "Jelle Assink and Pieter Smets and Omar Marcillo and Cornelis Weemstra and Lalande, {Jean Marie} and Roger Waxler and L{\"a}slo Evers",

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AU - Assink, Jelle

AU - Smets, Pieter

AU - Marcillo, Omar

AU - Weemstra, Cornelis

AU - Lalande, Jean Marie

AU - Waxler, Roger

AU - Evers, Läslo

PY - 2018/10/26

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AB - Infrasound recordings can be used as input to inversion procedures to delineate the vertical structure of temperature and wind in a range of altitudes where ground-based or satellite measurements are rare and where fine-scale atmospheric structures are not resolved by the current atmospheric specifications. As infrasound is measuredworldwide, this allows for a remote sensing technique that can be applied globally. This chapter provides an overview of recently developed infrasonic remote sensing methods. The methods range from linearized inversions to direct search methods as well as interferometric techniques for atmospheric infrasound. The evaluation of numerical weather prediction (NWP) products shows the added value of infrasound, e.g., during sudden stratospheric warming (SSW) and equinox periods. The potential transition toward assimilation of infrasound in numerical weather prediction models is discussed.

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Advances in infrasonic remote sensing methods

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