Improved Multiple Scattering Approach - RH Effects on Haze Detection Model

Published: 14 July 2023| Version 1 | DOI: 10.17632/j7h6xyfd2j.1
Contributor:
Joseph Boon Han Ooi

Description

Sample code to investigate effects of relative humidity (RH) on LIDAR numerical haze detection model. These codes are written using Python programming language and follow the numerical scheme described in Section 3.2 of the paper. LIDAR parameters used in this sample code: laser wavelength: 808 nm, RFOV: 20 mrad. Sequence of operation and description: 1. data_RH_generator.py - generates data for given LIDAR parameters and exports data as separate .csv files, plots changes in hygroscopic growth function with RH 2. data_RH_analysis.py - extracts data from .csv files for analysis according to numerical model scheme

Files

Steps to reproduce

Python script is written using Python 3.7+. Additional Python packages that may require prior installation: NumPy, SciPy, Matplotlib, csv

Institutions

Universiti Sains Malaysia

Categories

Numerical Analysis, Computer Simulation, Lidar

Funding

Ministry of Higher Education, Malaysia

FRGS/1/2019/STG02/USM/02/11

Licence