Modeling Lidar Multiple Scattering

Kaori Sato; Hajime Okamoto; Hiroshi Ishimoto

doi:10.1051/epjconf/201611921005

Modeling Lidar Multiple Scattering

Kaori Sato, Hajime Okamoto, Hiroshi Ishimoto

Division of Earth Environment Dynamics

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

A practical model to simulate multiply scattered lidar returns from inhomogeneous cloud layers are developed based on Backward Monte Carlo (BMC) simulations. The estimated time delay of the backscattered intensities returning from different vertical grids by the developed model agreed well with that directly obtained from BMC calculations. The method was applied to the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite data to improve the synergetic retrieval of cloud microphysics with CloudSat radar data at optically thick cloud grids. Preliminary results for retrieving mass fraction of co-existing cloud particles and drizzle size particles within lowlevel clouds are demonstrated.

Original language	English
Article number	21005
Journal	EPJ Web of Conferences
Volume	119
DOIs	https://doi.org/10.1051/epjconf/201611921005
Publication status	Published - Jun 7 2016
Event	27th International Laser Radar Conference, ILRC 2015 - New York, United States Duration: Jul 5 2015 → Jul 10 2015

All Science Journal Classification (ASJC) codes

Physics and Astronomy(all)

Access to Document

10.1051/epjconf/201611921005

Fingerprint Dive into the research topics of 'Modeling Lidar Multiple Scattering'. Together they form a unique fingerprint.

Cite this

@article{a16b62ada0064baf90e3ecaff5d0048b,

title = "Modeling Lidar Multiple Scattering",

abstract = "A practical model to simulate multiply scattered lidar returns from inhomogeneous cloud layers are developed based on Backward Monte Carlo (BMC) simulations. The estimated time delay of the backscattered intensities returning from different vertical grids by the developed model agreed well with that directly obtained from BMC calculations. The method was applied to the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite data to improve the synergetic retrieval of cloud microphysics with CloudSat radar data at optically thick cloud grids. Preliminary results for retrieving mass fraction of co-existing cloud particles and drizzle size particles within lowlevel clouds are demonstrated.",

author = "Kaori Sato and Hajime Okamoto and Hiroshi Ishimoto",

note = "Publisher Copyright: {\textcopyright} 2016 Owned by the authors, published by EDP Sciences. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; 27th International Laser Radar Conference, ILRC 2015 ; Conference date: 05-07-2015 Through 10-07-2015",

year = "2016",

month = jun,

day = "7",

doi = "10.1051/epjconf/201611921005",

language = "English",

volume = "119",

journal = "EPJ Web of Conferences",

issn = "2101-6275",

publisher = "EDP Sciences",

}

TY - JOUR

T1 - Modeling Lidar Multiple Scattering

AU - Sato, Kaori

AU - Okamoto, Hajime

AU - Ishimoto, Hiroshi

PY - 2016/6/7

Y1 - 2016/6/7

N2 - A practical model to simulate multiply scattered lidar returns from inhomogeneous cloud layers are developed based on Backward Monte Carlo (BMC) simulations. The estimated time delay of the backscattered intensities returning from different vertical grids by the developed model agreed well with that directly obtained from BMC calculations. The method was applied to the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite data to improve the synergetic retrieval of cloud microphysics with CloudSat radar data at optically thick cloud grids. Preliminary results for retrieving mass fraction of co-existing cloud particles and drizzle size particles within lowlevel clouds are demonstrated.

AB - A practical model to simulate multiply scattered lidar returns from inhomogeneous cloud layers are developed based on Backward Monte Carlo (BMC) simulations. The estimated time delay of the backscattered intensities returning from different vertical grids by the developed model agreed well with that directly obtained from BMC calculations. The method was applied to the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite data to improve the synergetic retrieval of cloud microphysics with CloudSat radar data at optically thick cloud grids. Preliminary results for retrieving mass fraction of co-existing cloud particles and drizzle size particles within lowlevel clouds are demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=84976314685&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84976314685&partnerID=8YFLogxK

U2 - 10.1051/epjconf/201611921005

DO - 10.1051/epjconf/201611921005

M3 - Conference article

AN - SCOPUS:84976314685

VL - 119

JO - EPJ Web of Conferences

JF - EPJ Web of Conferences

SN - 2101-6275

M1 - 21005

T2 - 27th International Laser Radar Conference, ILRC 2015

Y2 - 5 July 2015 through 10 July 2015

ER -

Modeling Lidar Multiple Scattering

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this