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Karl, T.R., Nicholls, N., Ghazi, A. (1999) Clivar/GCOS/WMO Workshop on Indices and Indicators for Climate Extremes Workshop Summary. In: Karl, T.R., Nicholls, N., Ghazi, A., Eds., Weather and Climate Extremes, Springer, Dordrecht, 3-7.
https://doi.org/10.1007/978-94-015-9265-9_2

has been cited by the following article:

• TITLE: Course Design for Low-Altitude Atmospheric Detection Experiment Based on Multi-Rotor Unmanned Aerial Vehicle

  AUTHORS: Xiaohang Wen

  KEYWORDS: Atmospheric Sounding Experiment, Low-Altitude Atmospheric Elements, Unmanned Aerial Vehicle Detection, Course Design

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.2, February 28, 2024

  ABSTRACT: The atmospheric sounding experiment is a practical course that complements the theoretical course of atmospheric detection. Mastering the basic experimental techniques of atmospheric detection is a fundamental requirement for the development of talents in atmospheric science and atmospheric detection for the new era of meteorological observation. The School of Atmospheric Sciences at the Chengdu University of Information Technology has adjusted the teaching content and system of the traditional undergraduate course “atmospheric detection experiment” by integrating teaching and laboratory resources, and established a teaching system that combines basic experiments with cut-ting-edge experiments, validation experiments, and independent design experiments, laying a foundation for improving the quality of teaching of the undergraduate course “atmospheric detection experiment”. This article will focus on the design ideas, observation methods, principles, and comparison results verification of the “low-altitude atmospheric element detection experiment based on multi-rotor unmanned aerial vehicles” in the atmospheric detection experiment course. This article breaks through the traditional operation of atmospheric detection experiments, and combines modular design and practice of a new experimental course system to design novel atmospheric-sounding experiments and course systems, achieving good application results.