TY - DATA
T1 - Code Underlying: Latent Moment Beamforming (LAMB) for Precipitation using Fast-Scanning Phased Array Weather Radars and Hamiltonian Monte Carlo (HMC)
PY - 2025/07/28
AU - Tworit Dash
AU - sen yuan
AU - Jonas Heylen
AU - Alexander Yarovoy
UR - 
DO - 10.4121/c3bedfcd-7326-4510-ab41-e355ff57bdcd.v1
KW - weather radar
KW - phased arrays
KW - Doppler Moments
KW - Atmosphere and Weather
N2 - <p>This repository contains MATLAB code implementing a Latent Moment Beamforming (LAMB) technique for retrieving Doppler moments of precipitation using fast-scanning phased array weather radars. The estimation is performed using Hamiltonian Monte Carlo (HMC) to enable physically consistent inference under uncertainty.</p><p><br></p><p>Key Features:</p><ul><li>Latent Moment Model: Represents the Doppler spectrum in terms of interpretable latent variables (mean μ, spread σ, and strength M) per beam direction.</li><li>Hamiltonian Monte Carlo (HMC): Performs Bayesian inference using a leapfrog-integrated sampling framework for efficient exploration of the posterior.</li><li>Gradient-based Likelihood: Includes analytical gradients to accelerate HMC convergence.</li><li>Customizable Radar Parameters: Easily adapt the code to different array geometries, scan strategies, or velocity resolutions.</li></ul><p><br></p>
ER -