TY - GEN
T1 - Testing the Consistency of the Boundary Element Method for Computing the Backscattering Properties of Complex Ice Crystals at Multiple Radar Frequencies
AU - Baran, Anthony J.
AU - Heymsfield, Andrew J.
AU - Kleanthous, Antigoni
AU - Westbrook, Christopher D.
AU - Betcke, Timo
AU - Hewett, David P.
AU - Barrett, Paul
AU - Fox, Stuart
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The backscattering properties of randomly oriented complex rosette ice aggregates at the radar frequencies of about 9, 35, and 94 GHz are computed using the boundary element method. A Monte Carlo model is used to generate the rosette aggregates, and 65 aggregates are selected from the statistical runs that are within ±30% of a mass-dimension relation that is consistent with the Met Office's cirrus microphysics scheme in its weather and climate models. The area- dimension relationship is shown to be generally consistent with an observed area-size power law. The budding rosettes and rosette aggregates have maximum dimensions between about 10 μm and 1 cm. To test the budding rosette and rosette aggregate model, data from NASA's IMPACTS campaign are used. The IMPACTS data consists of four frontal snowstorm cases that achieved the best co-incident measurements between the in-situ and remote sensing aircraft. We show that the rosette aggregate model predicts the time series of radar reflectivity data generally well for all four cases.
AB - The backscattering properties of randomly oriented complex rosette ice aggregates at the radar frequencies of about 9, 35, and 94 GHz are computed using the boundary element method. A Monte Carlo model is used to generate the rosette aggregates, and 65 aggregates are selected from the statistical runs that are within ±30% of a mass-dimension relation that is consistent with the Met Office's cirrus microphysics scheme in its weather and climate models. The area- dimension relationship is shown to be generally consistent with an observed area-size power law. The budding rosettes and rosette aggregates have maximum dimensions between about 10 μm and 1 cm. To test the budding rosette and rosette aggregate model, data from NASA's IMPACTS campaign are used. The IMPACTS data consists of four frontal snowstorm cases that achieved the best co-incident measurements between the in-situ and remote sensing aircraft. We show that the rosette aggregate model predicts the time series of radar reflectivity data generally well for all four cases.
KW - Boundary element method
KW - Electromagnetic scattering
KW - Ice aggregates
KW - Radar
KW - Remote sensing
UR - https://www.scopus.com/pages/publications/85204916442
U2 - 10.1109/IGARSS53475.2024.10641675
DO - 10.1109/IGARSS53475.2024.10641675
M3 - Conference contribution
AN - SCOPUS:85204916442
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 538
EP - 541
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -