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 | |
| 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 |
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All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)
Cite this
Modeling Lidar Multiple Scattering. / Sato, Kaori; Okamoto, Hajime; Ishimoto, Hiroshi.
In: EPJ Web of Conferences, Vol. 119, 21005, 07.06.2016.Research output: Contribution to journal › Conference article
}
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
ER -