Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Radar and Lidar scattering lookup tables for atmospheric hydrometeors using a T-Matrix method and a Mie theory

Authors: Oue, Mariko;

Radar and Lidar scattering lookup tables for atmospheric hydrometeors using a T-Matrix method and a Mie theory

Abstract

Overview The database includes text files containing the scattering amplitude matrices for single spherical/nonspherical particles for radar and lidar. They are the lookup tables used for calculating radar and lidar observables in the Cloud-Resolving Radar Simulator (Oue et al. 2020). The radar scattering properties were calculated for several hydrometeor categories using a T-matrix method proposed by Mishchenko (2000) accounting for incident angles, scattering direction (forward and backward), polarimetry (horizontally (H) and vertically (V) polarized waves), particle aspect ratio, phase (liquid or ice), bulk density, temperature, particle size, and radar frequency. The lidar scattering properties at a vertical incidence were calculated for spherical liquid or ice particles using the BHMIE Mie code (Bohrean and Hyffman,1998) accounting for lidar wavelength, temperature, and bulk density. The hydrometeor categories are commonly used for cloud resolving models employing bulk microphysical schemes (e.g., cloud, rain, ice cloud, snow aggregates, and graupel). Detailed descriptions are also available in the CR-SIM user guide (https://github.com/marikooue/CR-SIM/releases/tag/crsim-v3.34). Data structure The data files are arranged and zipped every hydrometeor types. The names of the tar-zipped directories under the top directory LLUT3 represents the hydrometer type.For lidar scattering, the following directories are included:ceilo: Ceilometer lidar backscatter properties at a wavelength of 905 nmmpl: Micropulse lidar (MPL) backscatter properties at wavelengths of 353 and 532 nm For radar scattering, the following hydrometer types are included:cloud: Radar scattering for liquid cloud droplets (spherical shape)raina: Radar scattering for raindrops with the aspect ratio model proposed by Andsager et al. (1999)rainb: Radar scattering for raindrops with the aspect ratio model proposed by Brandes et al (2002)ice_ar0.90: Radar scattering for cloud ice with an aspect ratio of 0.9ice_ar0.20: Radar scattering for cloud ice with an aspect ratio of 0.2smallice: Radar scattering for spherical cloud ice particlessnow_ar0.60: Radar scattering for snowflakes with an aspect ratio of 0.6graupel_ar0.60: Radar scattering for graupel particles with an aspect ratio of 0.6graupel_ar0.80: Radar scattering for graupel particles with an aspect ratio of 0.8graupel: Radar scattering for spherical graupel particlesgh_ryzh: Radar scattering for graupel particles with the graupel aspect ratio model proposed by Ryzhkov et al (2011)unrimedice_ar0.40: Radar scattering for unrimed ice particles with an aspect ratio of 0.4unrimedice_ar0.60: Radar scattering for unrimed ice particles with an aspect ratio of 0.6unrimedice_ar0.80: Radar scattering for unrimed ice particles with an aspect ratio of 0.8unrimedice: Radar scattering for spherical unrimed ice particlespartrimedice_ar0.40: Radar scattering for partially rimed ice particles with an aspect ratio of 0.4partrimedice_ar0.60: Radar scattering for partially rimed ice particles with an aspect ratio of 0.6partrimedice_ar0.80: Radar scattering for partially rimed ice particles with an aspect ratio of 0.8partrimedice: Radar scattering for partially rimed spherical ice particles The file name convention For lidar scattering data, each file name has the following format:[hydrometeor type]_[instrument name]_ [wavelength in nm]_[phase ID]_d[bulk density in kg m-3].datThe hydrometeor type shows: 1) ‘cld’ for liquid cloud droplets, and 2) ‘ice’ for ice particles. The phase ID shows: 1) ‘p25’ for ceilometer liquid cloud, 2) ‘p20’ for MPL lidar liquid cloud, and 3) ‘m30’ for MPL lidar ice. For radar scattering data, each file name has the following format.[hydrometeor type]_fr[frequency in GHz]GHz_t[temperature in K]_rho[bulk density in kg m-3]_el[elevation angle in degree].datThe hydrometeor type follows the directory name presented above. Format of the data files Line 1: Wavelength in mmLine 2: Temperature in KLine 3: Refractive index (real and imaginary)Line 4: Number of radii calculated and number of elevation anglesLine 6: Incident angle and scattered angle in degreesLine 7: Radius in mm and aspect ratioLine 8: Forward scattering amplitude for co-polarization VV and HH (complex number)Line 9: Backward scattering amplitude for co- and cross polarizations VV, VH, HV, HH (complex number) Line 10 to the end of file: Repeat Line 7 to Line 9 with different radii until the maximum radius.

Related Organizations
Keywords

Atmospheric sciences, Lidar, Radar, Cloud microphysics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average