By Topic

Sampling Severe Local Storms and Related Phenomena: Using Unmanned Aircraft Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Eric W. Frew ; University of Colorado, Boulder, CO 80309 USA ; Jack Elston ; Brian Argrow ; Adam Houston
more authors

Understanding and predicting the dynamic behavior of our planet's environment over multiple spatial and temporal scales remains an outstanding scientific challenge [1], [2]. More than 50 years of investment and advancements in remote weather-sensing systems (satellite-based as well as ground-based radar) have resulted in remarkable capabilities; however, these systems cannot deliver observations to meet current requirements for timeliness, positional precision, and the acquisition of data that can only be obtained in situ. Highly mobile observations systems are needed to deliver in situ data that are critical for the verification and validation of current models and simulations. This is the challenge in engineering the tools of scientific discovery, one of the 14 Engineering Grand Challenges of the 21st Century posed by the National Academy of Engineering [2]. This article addresses specific challenges in designing and deploying unmanned aircraft systems (UASs) for sampling severe local storms.

Published in:

IEEE Robotics & Automation Magazine  (Volume:19 ,  Issue: 1 )