使用气球搭载的无人滑翔机验证WRF实时建模

Using a Balloon-Launched Unmanned Glider to Validate Real-Time WRF Modeling.

作者信息

Schuyler Travis J, Gohari S M Iman, Pundsack Gary, Berchoff Donald, Guzman Marcelo I

机构信息

Department of Chemistry, University of Kentucky, Lexington, KY 40506, USA.

Director of SaaS Development, TempoQuest Inc., Boulder, CO 80303, USA.

出版信息

Sensors (Basel). 2019 Apr 23;19(8):1914. doi: 10.3390/s19081914.

DOI:10.3390/s19081914

PMID:31018528

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6514933/

Abstract

The use of small unmanned aerial systems (sUAS) for meteorological measurements has expanded significantly in recent years. SUAS are efficient platforms for collecting data with high resolution in both space and time, providing opportunities for enhanced atmospheric sampling. Furthermore, advances in mesoscale weather research and forecasting (WRF) modeling and graphical processing unit (GPU) computing have enabled high resolution weather modeling. In this manuscript, a balloon-launched unmanned glider, complete with a suite of sensors to measure atmospheric temperature, pressure, and relative humidity, is deployed for validation of real-time weather models. This work demonstrates the usefulness of sUAS for validating and improving mesoscale, real-time weather models for advancements toward reliable weather forecasts to enable safe and predictable sUAS missions beyond visual line of sight (BVLOS).

摘要

近年来，小型无人机系统（sUAS）在气象测量中的应用显著增加。sUAS是在空间和时间上收集高分辨率数据的高效平台，为增强大气采样提供了机会。此外，中尺度天气研究与预报（WRF）建模以及图形处理单元（GPU）计算的进展使得高分辨率天气建模成为可能。在本论文中，部署了一个搭载一套用于测量大气温度、压力和相对湿度传感器的气球发射无人滑翔机，以验证实时天气模型。这项工作证明了sUAS在验证和改进中尺度实时天气模型方面的有用性，有助于推动可靠天气预报的发展，以实现安全且可预测的超视距（BVLOS）sUAS任务。