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Using UAS to Study the Atmosphere

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Presentation on theme: "Using UAS to Study the Atmosphere"— Presentation transcript:

1 Using UAS to Study the Atmosphere
Cory Wolff National Center for Atmospheric Research 24 July 2017

2 Why UAS? Atmospheric scientists have history of measuring the atmosphere with manned aircraft. Long duration Range of altitudes Large payloads Complex datasets 3 Ds Dull - very long missions Dirty - chemical/smoke plumes Dangerous - hurricanes & severe storms Low altitude, high resolution measurements More capability than towers and sondes Ease of operation More cost effective Sometimes

3 Current Measurements Survey commissioned in 2016 Target audience
NSF funded UAS researchers University geoscience researchers (all) UAS users UAS non-users Other Aerial photos Electric fields Polar and maritime surveys Topography Multispectral imagery Thermal infrared (IR) Surface temperature 33 Respondents

4 Desired Measurements 33 Respondents

5 Observations and Platforms
Using and interpreting UAS observations Easier: temperature, pressure, moisture Harder: winds, turbulence, fluxes UAS itself can influence measurements Larger datasets 72% are validating UAS measurements 62% are characterizing uncertainty Platform considerations Endurance FAA regulations Ease of use Ability to operate in storms

6 NASA Global Hawk Hurricane, tropical storm, high altitude missions
65,000 ft. Very long duration 24+ hrs 8500+ n mi Multiple shifts Variety of instruments

7 NOAA Coyote Canister launched from P3 in tropical storms and hurricanes Up to 70 n mi communication range 55 kts 1+ hr endurance Sends back wind, temperature, pressure information Areas unsafe for manned aircraft Unrecoverable Telemetry is critical Launch

8 NOAA Coyote Hurricane Edouard - 2014 Eyewall penetration 2940 ft
100 kt winds in eyewall

9 University of Oklahoma
NRC Report (2009): Assets required to profile the lower troposphere above the near-surface layer (first 10%) are too limited in what they measure, too sparsely or unevenly distributed, sometimes too coarse in vertical resolution, sometimes limited to regional areal coverage, and clearly do not qualify as a mesoscale network of national dimensions.

10 University of Oklahoma
Flight coordination Flocking, swarming Data driven navigation and path planning Sensor development and validation (w/ OSU) Much room for improvement Continuous operations

11 Other Research NOAA Oklahoma State University Severe Weather
Arctic studies Surveys - not necessarily atmospheric but has capability Oklahoma State University Instrumentation and Engineering Severe Weather University of Colorado Colorado State University University of Nebraska Texas Tech University of Alaska - Fairbanks Surveys - sea ice, fires University of North Dakota Radar deconfliction; NAS integration Department of Energy

12 Challenges BLOS Altitude restrictions Urban environment
Cloud research Operator safety around severe storms Telemetry - data and control Altitude restrictions Urban environment Chemistry measurements Large systems Better instrumentation Instrument placement Many others

13 Thank You! Where does EOL fit in?
Acknowledgements (photos and research summaries) NASA NOAA University of Oklahoma


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