Documentation Revision Date: 2026-05-14
Dataset Version: 1
Summary
There are 10 data files in ICARTT V1.1 format with this dataset.
Figure 1. The NASA Alta X quadcopter sits in a field in Missoula, Montana, outfitted with a structure engineered at Langley Research Center to carry a radiosonde (top left) and an anemometer (top right) into the air. The UAS and its payload were part of the August 2024 FireSense campaign, which examined the applicability of using controllable, repeatable airborne measurements to more accurately predict fire and smoke behavior. Image Credit: NASA ARC/Milan Loiacono.
Citation
Pangle, P., and J. Fowler. 2026. FireSense: UAS Vertical Profile Measurements, Fort Drum, NY, USA, 2024. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2486
Table of Contents
- Dataset Overview
- Data Characteristics
- Application and Derivation
- Quality Assessment
- Data Acquisition, Materials, and Methods
- Data Access
- References
Dataset Overview
This dataset contains ten vertical atmospheric profiles collected in Upstate New York (Fort Drum) using a Unmanned Aircraft System (UAS) during the April 2024 solar eclipse. The data includes static air pressure, static air temperature, relative humidity, wind speed and direction, and data pertaining to the UAS. Acquired by a NASA LaRC Alta-X UAS under the FireSense project, these high-resolution observations of atmospheric state variables are critical for analyzing transport and mixing processes. This dataset offers key insights into how atmospheric structure evolves in response to the eclipse.
Ten vertical atmospheric profiles were collected in Upstate New York (Fort Drum) during the April 2024 solar eclipse. This dataset offers key insights into how atmospheric structure evolves in response to the eclipse. The measurements were made between the surface and approximately 3.5 km MSL.
Project: FireSense
The FireSense project aims to improve U.S. wildland fire management by working with operational agencies to refine and deliver NASA’s unique Earth science and technological capabilities. FireSense focuses on four types of assessments to support decisions before, during, and after wildland fires: pre-fire fuel conditions, active fire dynamics, post-fire impacts and threats, and air quality forecasting. Each type of assessment is co-developed with wildland fire management stakeholders. Through co-development of technology and data-informed tools, FireSense is intended to enable a transition from reactive to proactive fire response by facilitating increased preparedness for and co-existence with fire. To accomplish this, the FireSense team collaborates with resource managers, policymakers, and stakeholders at all levels. Since the fall of 2023, FireSense has run an annual airborne and field component where the project team tests and develops improved capabilities and technologies for transfer to stakeholders. FireSense leverages multiple airborne instruments, including the MODIS/ASTER Airborne Simulator (MASTER), the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), the Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3), the Scanning L-band Active Passive (SLAP), and the San Jose State University Wildfire Imaging System (SWIS).
Related Dataset
Pangle, P., and J. Fowler. 2026. FireSense: Balloon Vertical Profile Measurements, Fort Drum, NY, USA, 2024. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2497
- Measurements collected through a balloon platform during the same solar eclipse from the same location.
Acknowledgements
This work was supported by the NASA FireSense Project. The University of New York-Albany provide data for the sounding comparisons, and Fort Drum (U.S. Army) provided access and airspace deconfliction.
Data Characteristics
Spatial Coverage: Fort Drum, New York, U.S.
Spatial Resolution: Irregular from the surface to <3.5 km MSL altitude
Temporal Coverage: 2024-04-08 (during a solar eclipse)
Temporal Resolution: 1 s
Study Area: Latitude and longitude are given in decimal degrees.
| Region | Westernmost Longitude | Easternmost Longitude | Northernmost Latitude | Southernmost Latitude |
|---|---|---|---|---|
| Fort Drum, New York, US | -75.5403 | -75.54022 | 44.2476 | 44.2475 |
Data File Information
There are 10 files in ICARTT V1.1 (.ict) format (Aknan et al., 2013) in this dataset with ACVSNC (Atmospheric Composition Variable Standard Name Convention) (Silverman et al., 2023) standard variable names.
The no-data value is -9999.
The file naming convention is FireSense-NewYork-FortDrum-UAS_ PROFILE_ <YYYYMMDDhhmmss>_<RX>.ict, where
- <YYYYMMDDhhmmss> is the sampling start date-time in Coordinated Universal Time (UTC) (e.g., "20240408041215")
- <RX> is the data revision number (e.g., "R0")
Example file name: FireSense-NewYork-FortDrum-UAS_PROFILE_20240408041215_R0.ict
Table 1. Variables in the ICARTT data files
| Variable Name | Units | Description |
|---|---|---|
| P | hPa | Static air pressure |
| T | degrees C | Static air temperature |
| RH | percent | Relative Humidity over water |
| Tu_Cap | degrees C | Instrument/intermediate Variable |
| Range | m | Instrument/intermediate Variable |
| Vertical_Speed | m s-1 | Instrument/intermediate Variable |
| Horizontal_Speed | m s-1 | UAS horizontal speed |
| Longitude | degrees east | Longitude of measurement |
| Latitude | degrees north | Latitude of measurement |
| Altitude | m | Altitude of measurement |
| Wind_Speed | m s-1 | Wind Speed by Graw. The FireSense team recommends that this measurement should be treated as provisional |
| Wind_Direction | degrees | Wind Direction by Graw. The FireSense team recommends that this measurement should be treated as provisional |
| Pitch | degrees | Pitch of UAS |
| Roll | degrees | Roll of UAS |
| v | m s-1 | Northward Wind Component by Trisonica Sphere |
| u | m s-1 | Eastward Wind Component by Trisonica sphere |
| w | m s-1 | Vertical Wind Component by Trisonica Sphere |
| corrected_wind_speed | m s-1 | Corrected wind speed by Trisonica sphere. The FireSense team recommends that TriSonica wind speed measurements should be used in quantitative analysis |
| corrected_wind_direction | degrees | Corrected wind direction by Trisonica sphere. The FireSense team recommends that TriSonica wind direction measurements should be used in quantitative analysis |
Application and Derivation
High-temporal-resolution vertical profiles acquired during the solar eclipse offer valuable insights into the influence of solar radiation on atmospheric structure, which is essential for characterizing atmospheric transport and mixing dynamics.
Quality Assessment
The FireSense team recommends TriSonica wind speed and wind direction measurements should be used in quantitative analysis. The Graw wind measurement should be treated as provisional. It is also noted that the FireSense team conducted comparisons against lidar and balloon sondes to verify the uncertainty specification provided by the manufacturer. The uncertainty values cited below are based on manufacturer specifications:
Graw Radiosonde DFM-17
- Temperature Accuracy: <0.2 degrees C
- Pressure Uncertainty: <1 hPa
- Relative Humidity Uncertainty: <3%
- Wind Speed Uncertainty: <0.1 m s-1
- Wind Direction Uncertainty: <1 degree
LI-560 TriSonica® Sphere Ultrasonic Anemometer
- Wind Speed accuracy as a function of wind speed: +/- 1 m s-1 ( 0 - 10 m s-1), +/- 1% (11 - 30 m s-1), and +/- 2% (31-50 m s-1)
Data Acquisition, Materials, and Methods
Site selection was made based on location along the total solar eclipse path, as well as having project permissions that provided access to restricted airspace with a high enough ceiling to allow for flight deconfliction and full Planetary Boundary Layer (PBL) sampling. Additionally, there was a need for enough space to provide launch capabilities of reference sensors for validation efforts.
The vertical profiles of the atmospheric state variables were measured by two instruments mounted on the NASA LaRC Alta X UAS (N567NU, Figure 1). The measurements were made between the surface and approximately 3.5 km MSL. The instruments involved were:
- Graw Radiosonde DFM-17 responsible for pressure, temperature, and relative humidity measurements.
- LI-560 TriSonica® Sphere Ultrasonic Anemometer responsible for the 3-D wind measurements (i.e., u, v, and w).
Data Access
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
FireSense: UAS Vertical Profile Measurements, Fort Drum, NY, USA, 2024
Contact for Data Center Access Information:
- E-mail: uso@daac.ornl.gov
- Telephone: +1 (865) 241-3952
References
Aknan, A., Chen, G., Crawford, J., and E. Williams. 2013. ICARTT File Format Standards V1.1. NASA Earth Science Data and Information Systems Standards Coordination Office. https://www.earthdata.nasa.gov/s3fs-public/imported/ESDS-RFC-019-v1.1_0.pdf
Graw Radiosonde DFM-17: https://www.graw.de/products/radiosondes/radiosonde-dfm-17
LI-560 TriSonica® Sphere Ultrasonic Anemometer: https://www.licor.com/products/trisonica/LI-560-sphere
Pangle, P., and J. Fowler. 2026. FireSense: Balloon Vertical Profile Measurements, Fort Drum, NY, USA, 2024. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2497
Fowler, J., P. Pangle, J. Shuman, R. McSwain, H. Raine, M. Falkowski, T. Kauffman, B. Lefer, M. Martin, C. Mataya, and H. Riris. “UAS Measurement Platform to Fill a Critical Knowledge Gap on Wildland Fires” poster presented at 2024 AGU Meeting, Washington, DC, 8 Dec - 13 Dec.
Silverman, M., M. Shook, R. Hornbrook, L. Ziemba, S. Hall, K. Ullmann, J. Crounse, R. Bennett, M. Buzanowicz, G. Chen, and ESDIS Standards Coordination Office. 2023. Atmospheric Composition Variable Standard Name Convention version 1. NASA Earth Science Data and Information System Standards Coordination Office. https://doi.org/10.5067/DOC/ESCO/ESDS-RFC-043v1