Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO

Maki Kikuchi, Hajime Okamoto, Kaori Sato, Yuichiro Hagihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We developed a test version of algorithm that discriminate cloud/precipitation phase and ice cloud particle shape (hereafter, hydrometeor particle type) from the synergy use of the cloud profiling radar (CPR) onboard CloudSat satellite and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. We used the CALIOP classification algorithm that was developed by Yoshida et al. (2010) and modified by Hirakata et al. (2014). The CPR algorithm mainly consisted of the following steps: (1) initial discrimination by the look-up-table derived from the match-up statistical analysis of the CPR radar reflectivity, CALIOP cloud particle type and Tropical Rainfall Measuring Mission (TRMM) precipitation, and (2) precipitation correction of initial discrimination by unattenuated surface radar reflectivity. Lastly, the CPR and CALIOP synergy particle type was discriminated, simply by selecting the hydrometeor type that was most reasonable. In this study, we showed two case studies of the CPR, the CALIOP and the synergy discrimination results. By taking the advantage of CPR's capability to penetrate into thick cloud and observe light precipitation, and CALIOP's sensitivity to detect thin ice clouds, the synergy algorithm gave seamless vertical profile from thin cloud to precipitation.

Original languageEnglish
Title of host publicationRadiation Processes in the Atmosphere and Ocean, IRS 2016
Subtitle of host publicationProceedings of the International Radiation Symposium (IRC/IAMAS)
EditorsWerner Schmutz, Roger Davies, Luca Egli
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414785
DOIs
Publication statusPublished - Feb 22 2017
EventInternational Radiation Symposium 2016: Radiation Processes in the Atmosphere and Ocean, IRS 2016 - Auckland, New Zealand
Duration: Apr 16 2016Apr 22 2016

Publication series

NameAIP Conference Proceedings
Volume1810
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

OtherInternational Radiation Symposium 2016: Radiation Processes in the Atmosphere and Ocean, IRS 2016
CountryNew Zealand
CityAuckland
Period4/16/164/22/16

Fingerprint

CloudSat
hydrometeors
satellite observation
optical radar
discrimination
aerosols
radar
ice clouds
polarization
reflectance

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Kikuchi, M., Okamoto, H., Sato, K., & Hagihara, Y. (2017). Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. In W. Schmutz, R. Davies, & L. Egli (Eds.), Radiation Processes in the Atmosphere and Ocean, IRS 2016: Proceedings of the International Radiation Symposium (IRC/IAMAS) [070005] (AIP Conference Proceedings; Vol. 1810). American Institute of Physics Inc.. https://doi.org/10.1063/1.4975526

Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. / Kikuchi, Maki; Okamoto, Hajime; Sato, Kaori; Hagihara, Yuichiro.

Radiation Processes in the Atmosphere and Ocean, IRS 2016: Proceedings of the International Radiation Symposium (IRC/IAMAS). ed. / Werner Schmutz; Roger Davies; Luca Egli. American Institute of Physics Inc., 2017. 070005 (AIP Conference Proceedings; Vol. 1810).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kikuchi, M, Okamoto, H, Sato, K & Hagihara, Y 2017, Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. in W Schmutz, R Davies & L Egli (eds), Radiation Processes in the Atmosphere and Ocean, IRS 2016: Proceedings of the International Radiation Symposium (IRC/IAMAS)., 070005, AIP Conference Proceedings, vol. 1810, American Institute of Physics Inc., International Radiation Symposium 2016: Radiation Processes in the Atmosphere and Ocean, IRS 2016, Auckland, New Zealand, 4/16/16. https://doi.org/10.1063/1.4975526
Kikuchi M, Okamoto H, Sato K, Hagihara Y. Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. In Schmutz W, Davies R, Egli L, editors, Radiation Processes in the Atmosphere and Ocean, IRS 2016: Proceedings of the International Radiation Symposium (IRC/IAMAS). American Institute of Physics Inc. 2017. 070005. (AIP Conference Proceedings). https://doi.org/10.1063/1.4975526
Kikuchi, Maki ; Okamoto, Hajime ; Sato, Kaori ; Hagihara, Yuichiro. / Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO. Radiation Processes in the Atmosphere and Ocean, IRS 2016: Proceedings of the International Radiation Symposium (IRC/IAMAS). editor / Werner Schmutz ; Roger Davies ; Luca Egli. American Institute of Physics Inc., 2017. (AIP Conference Proceedings).
@inproceedings{3a0c8727a96449a5b15a741934243419,
title = "Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO",
abstract = "We developed a test version of algorithm that discriminate cloud/precipitation phase and ice cloud particle shape (hereafter, hydrometeor particle type) from the synergy use of the cloud profiling radar (CPR) onboard CloudSat satellite and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. We used the CALIOP classification algorithm that was developed by Yoshida et al. (2010) and modified by Hirakata et al. (2014). The CPR algorithm mainly consisted of the following steps: (1) initial discrimination by the look-up-table derived from the match-up statistical analysis of the CPR radar reflectivity, CALIOP cloud particle type and Tropical Rainfall Measuring Mission (TRMM) precipitation, and (2) precipitation correction of initial discrimination by unattenuated surface radar reflectivity. Lastly, the CPR and CALIOP synergy particle type was discriminated, simply by selecting the hydrometeor type that was most reasonable. In this study, we showed two case studies of the CPR, the CALIOP and the synergy discrimination results. By taking the advantage of CPR's capability to penetrate into thick cloud and observe light precipitation, and CALIOP's sensitivity to detect thin ice clouds, the synergy algorithm gave seamless vertical profile from thin cloud to precipitation.",
author = "Maki Kikuchi and Hajime Okamoto and Kaori Sato and Yuichiro Hagihara",
year = "2017",
month = "2",
day = "22",
doi = "10.1063/1.4975526",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Werner Schmutz and Roger Davies and Luca Egli",
booktitle = "Radiation Processes in the Atmosphere and Ocean, IRS 2016",

}

TY - GEN

T1 - Testing hydrometeor particle type discrimination derived from CloudSat and CALIPSO

AU - Kikuchi, Maki

AU - Okamoto, Hajime

AU - Sato, Kaori

AU - Hagihara, Yuichiro

PY - 2017/2/22

Y1 - 2017/2/22

N2 - We developed a test version of algorithm that discriminate cloud/precipitation phase and ice cloud particle shape (hereafter, hydrometeor particle type) from the synergy use of the cloud profiling radar (CPR) onboard CloudSat satellite and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. We used the CALIOP classification algorithm that was developed by Yoshida et al. (2010) and modified by Hirakata et al. (2014). The CPR algorithm mainly consisted of the following steps: (1) initial discrimination by the look-up-table derived from the match-up statistical analysis of the CPR radar reflectivity, CALIOP cloud particle type and Tropical Rainfall Measuring Mission (TRMM) precipitation, and (2) precipitation correction of initial discrimination by unattenuated surface radar reflectivity. Lastly, the CPR and CALIOP synergy particle type was discriminated, simply by selecting the hydrometeor type that was most reasonable. In this study, we showed two case studies of the CPR, the CALIOP and the synergy discrimination results. By taking the advantage of CPR's capability to penetrate into thick cloud and observe light precipitation, and CALIOP's sensitivity to detect thin ice clouds, the synergy algorithm gave seamless vertical profile from thin cloud to precipitation.

AB - We developed a test version of algorithm that discriminate cloud/precipitation phase and ice cloud particle shape (hereafter, hydrometeor particle type) from the synergy use of the cloud profiling radar (CPR) onboard CloudSat satellite and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. We used the CALIOP classification algorithm that was developed by Yoshida et al. (2010) and modified by Hirakata et al. (2014). The CPR algorithm mainly consisted of the following steps: (1) initial discrimination by the look-up-table derived from the match-up statistical analysis of the CPR radar reflectivity, CALIOP cloud particle type and Tropical Rainfall Measuring Mission (TRMM) precipitation, and (2) precipitation correction of initial discrimination by unattenuated surface radar reflectivity. Lastly, the CPR and CALIOP synergy particle type was discriminated, simply by selecting the hydrometeor type that was most reasonable. In this study, we showed two case studies of the CPR, the CALIOP and the synergy discrimination results. By taking the advantage of CPR's capability to penetrate into thick cloud and observe light precipitation, and CALIOP's sensitivity to detect thin ice clouds, the synergy algorithm gave seamless vertical profile from thin cloud to precipitation.

UR - http://www.scopus.com/inward/record.url?scp=85015971247&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015971247&partnerID=8YFLogxK

U2 - 10.1063/1.4975526

DO - 10.1063/1.4975526

M3 - Conference contribution

AN - SCOPUS:85015971247

T3 - AIP Conference Proceedings

BT - Radiation Processes in the Atmosphere and Ocean, IRS 2016

A2 - Schmutz, Werner

A2 - Davies, Roger

A2 - Egli, Luca

PB - American Institute of Physics Inc.

ER -