Comparing MoM-CBFM and DDA Approaches in Solving EM Scattering of Realistic Solid Hydrometeors at Submillimeter Wavelengths

CubeSats with submillimeter ice-cloud radiometers are emerging as a promising low-cost approach for studying ice clouds to improve our understanding of Earth’s dynamic atmosphere and its impact on climate. Like for all microwave instruments, a crucial quantity for the physical (as opposed to empirical) quantitative retrieval of solid hydrometeors in the cloud is their single-scattering properties (SSPs). We previously applied the EM scattering solution method, MIDAS [1] (short for MoM Integral-equation Decomposition for Arbitrarily-shaped Scatterers), to calculate SSPs of arbitrarily shaped ice aggregates at select microwave frequencies, namely Ka, Ku, and W-bands. MIDAS applies a Method of Moments (MoM) with piecewise constant basis functions, followed by a domain decomposition method, namely the Characteristic Basis Function Method (CBFM). It has demonstrated a significant advantage in computational efficiency at the microwave frequencies mentioned above over the DDSCAT code based on Discrete Dipole Approximation (DDA), with comparable accuracy [1]. Volume-integral MoM and DDA formulations are mathematically equivalent and offer high versatility to scatterer geometry relative to other scattering solution methods, allowing calculations of SSPs for realistic complex-shaped ice hydrometeors [2]. Computational efficiency becomes thus a deciding factor in adopting one method or the other when both methods maintain satisfactory accuracy.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701830
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing MoM-CBFM and DDA Approaches in Solving EM Scattering of Realistic Solid Hydrometeors at Submillimeter Wavelengths

Kwo‐Sen Kuo, Ines Fenni, Hélène Roussel
Geomagnetism and Paleomagnetism Studies
article

Comparing MoM-CBFM and DDA Approaches in Solving EM Scattering of Realistic Solid Hydrometeors at Submillimeter Wavelengths

Kwo‐Sen Kuo, Ines Fenni, Hélène Roussel
article en

Abstract

CubeSats with submillimeter ice-cloud radiometers are emerging as a promising low-cost approach for studying ice clouds to improve our understanding of Earth’s dynamic atmosphere and its impact on climate. Like for all microwave instruments, a crucial quantity for the physical (as opposed to empirical) quantitative retrieval of solid hydrometeors in the cloud is their single-scattering properties (SSPs). We previously applied the EM scattering solution method, MIDAS [1] (short for MoM Integral-equation Decomposition for Arbitrarily-shaped Scatterers), to calculate SSPs of arbitrarily shaped ice aggregates at select microwave frequencies, namely Ka, Ku, and W-bands. MIDAS applies a Method of Moments (MoM) with piecewise constant basis functions, followed by a domain decomposition method, namely the Characteristic Basis Function Method (CBFM). It has demonstrated a significant advantage in computational efficiency at the microwave frequencies mentioned above over the DDSCAT code based on Discrete Dipole Approximation (DDA), with comparable accuracy [1]. Volume-integral MoM and DDA formulations are mathematically equivalent and offer high versatility to scatterer geometry relative to other scattering solution methods, allowing calculations of SSPs for realistic complex-shaped ice hydrometeors [2]. Computational efficiency becomes thus a deciding factor in adopting one method or the other when both methods maintain satisfactory accuracy.

Centre National de la Recherche Scientifique (FR), University of California, Los Angeles (US), Sorbonne Université (FR), University of Maryland, College Park (US)
Openalex Percentile: Top 84%
Geomagnetism and Paleomagnetism Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.