Work Description

Title: Aircraft Data (2020) for Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) Open Access Deposited

Attribute Value
  • Data collected by Mooney aircraft in the U.S. Gulf of Mexico and the Permian and Eagle Ford regions of Texas in 2020. Measurements of methane (CH4), carbon dioxide (CO2), carbon monoxide (CO), and water vapor (H2O), are collected with the Picarro model 2301-f instrument with wavelength-scanned cavity ringdown spectrometry. Measurements were made at a frequency of 0.33 to 0.5 Hz with an uncertainty of 1.4 ppb CH4. Ozone (O3) was collected by the 2B 205 Dual Beam Ozone Monitor using two detection cells to simultaneously measure ozone scrubbed and non-scrubbed air. Samples were made at a frequency of 0.5 Hz with an average precision and accuracy of 1 ppb. Nitric oxide (NO) and nitrogen dioxide (NO2) were measured by ECOphysics 88 NOe and Teledyne T5000U instruments, respectively. GPS antennae, mounted on the Mooney aircraft, recorded latitude, longitude, altitude, aircraft heading, zonal speed, and meridional speed. Horizontal winds are calculated following Conley et al (2014) . Temperature (C) and humidity (%) were collected with the Vaisala HMP60 probe. Aircraft speeds averaged around 70 meters per second.
  • As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2020 the aircraft measurement platform sampled offshore oil & gas facilities in the Gulf of Mexico to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Onshore, the aircraft sampled downwind of flare combustion plumes in the Permian and Eagle Ford regions of Texas. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day.

  • Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.
Contact information
Funding agency
  • Other Funding Agency
Other Funding agency
  • Alfred P. Sloan Foundation
ORSP grant number
  • G-2019-12451
Resource type
Last modified
  • 03/23/2023
  • 04/07/2022
To Cite this Work:
Kort, E. A., Plant, G., Smith, M. L., Brandt, A. R., Chen, Y., Gorchov Negron, A. M., Schwietzke, S., Zavala-Araiza, D. (2022). Aircraft Data (2020) for Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) [Data set], University of Michigan - Deep Blue Data.

Files (Count: 2; Size: 31.7 MB)

For questions or information, contact the PI Dr. E. A. Kort at and Dr. G. Plant at

All flights from F3UEL 2020 campaign are combined into a single file.

Column names:


Column descriptions:

Date: date of flight (yyyymmdd)
Time.EPOCH: seconds since 01/01/1970
Latitude: GPS latitude of measurement
Longitude: GPS longitude of measurement
Altitude.m.: Altitude in meters
WindU.m.s.: U Wind speed in meters/second
WindV.m.s.: V Wind speed in meters/second
Temperature.C.: observed temperature in Celsius
RH.per.: observed relative humidity (%)
CH4.ppm.: observed methane in parts per million
CO2.ppm.: observed carbon dioxide in parts per million
H2O.per: Observed water vapor in percent
CO.ppm.: observed carbon monoxide in parts per million
O3.ppb.: observed ozone in parts per billion
NO2.ppb.: observed NO2 in parts per billion
NO.ppb.: observed NO in parts per billion
Pressure.mb. observed pressure in mbar

Data Notes:
1) Missing Value indicator = -9999
2) There are uncharacterized offsets in the NO and NO2 measurements. Accordingly, the NO & NO2 data is best suited for relative/differential form of analysis. Contact data creators for recommendations on addressing offset.

Citation for this dataset:
Kort, E., Plant, G., Smith, M., Brandt, A., Chen, Y., Gorchov Negron, A., Schwietzke, S., Zavala-Araiza, D. Aircraft Data (2020) for Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) [Data set], University of Michigan - Deep Blue Data.

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