Diao et al. (2025) Vertical Wind Velocity Data from NSF and NASA Flight Campaigns

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-11-20
• Authors: Diao, Minghui, Maciel, Flor, Ngo, Derek, Patnaude, Ryan
• DOI: 10.17632/pr28vks52k

Research Groups

• San Jose State University (Minghui Diao)
• U.S. National Science Foundation (NSF)
• U.S. National Aeronautics and Space Administration (NASA)

Short Summary

This paper presents a unified, quality-controlled dataset of near-global, in-situ atmospheric vertical velocity measurements at 1-second frequency, compiled from 12 NSF and NASA airborne campaigns conducted from 2008 to 2016. The dataset is structured to support research on atmospheric turbulence, vertical velocity trends, and cloud processes.

Objective

• To provide a unified, quality-controlled, near-global dataset of in-situ atmospheric vertical velocity measurements to support research on atmospheric turbulence, vertical velocity trends, and cloud processes.

Study Configuration

• Spatial Scale: Near-global coverage from airborne campaigns.
• Temporal Scale: Data collected between 2008 and 2016. Measurements recorded at 1-second frequency. Standard deviation of vertical velocity (σw) computed using a 430-second moving average.

Methodology and Data

• Models used: Not applicable, as this paper describes a dataset compilation rather than a study employing models.
• Data sources: In-situ atmospheric measurements from seven U.S. National Science Foundation (NSF) airborne campaigns (CONTRAST, NSF-DC3, HIPPO, ORCAS, PREDICT, START08, TORERO) and five U.S. National Aeronautics and Space Administration (NASA) airborne campaigns (ATTREX, MACPEX, NASA-DC3, POSIDON, SEAC4RS). The dataset includes Time (UTC), Campaign Label, Research Flight Number, Standard Deviation of Vertical Velocity (σw) (meters per second), Temperature (Kelvin), and Pressure (Pascals).

Main Results

• A unified, quality-controlled dataset of in-situ atmospheric vertical velocity (σw), temperature, and pressure measurements has been compiled.
• The dataset integrates near-global data from 12 distinct NSF and NASA airborne campaigns conducted between 2008 and 2016.
• Measurements are provided at a 1-second frequency.
• The standard deviation of vertical velocity (σw) was calculated using a 430-second moving average, corresponding to a horizontal length scale of approximately 100,000 meters.
• The dataset is made available in two NetCDF files: NSFsigwT430s.nc and NASAsigwT430s.nc.

Contributions

• Provides the first unified and quality-controlled compilation of near-global, in-situ vertical velocity data from multiple NSF and NASA airborne campaigns.
• Offers a standardized and readily accessible resource for researchers investigating atmospheric turbulence, vertical velocity trends, and cloud processes.
• Consolidates data from 12 distinct campaigns, enhancing consistency and ease of use for broader scientific applications.

Funding

• NASA Earth Science, National Aeronautics and Space Administration, United States (Grant ID: 80NSSC21K1457)
• National Aeronautics and Space Administration, Government of the United States of America, United States (Grant ID: 80NSSC24K1616)
• U.S. National Science Foundation, Government of the United States of America, United States (Grant ID: AGS-1642291)
• U.S. National Science Foundation, Government of the United States of America, United States (Grant ID: OPP-1744965)

Citation

@article{Diao2025Vertical,
  author = {Diao, Minghui and Maciel, Flor and Ngo, Derek and Patnaude, Ryan},
  title = {Vertical Wind Velocity Data from NSF and NASA Flight Campaigns},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/pr28vks52k},
  url = {https://doi.org/10.17632/pr28vks52k}
}