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Spatially distributed atmospheric boundary layer properties in Houston - A value-added observational dataset
Katia Lamer1, Zackary Mages2, Bernat Puigdomènech Treserras3
1Brookhaven National Laboratory, Upton, USA. klamer@bnl.gov.
Scientific Data
|June 22, 2024
Summary
Houston
Area of Science:
- Atmospheric Science
- Environmental Science
Background:
- Houston, TX, hosted field campaigns in 2022 to study atmospheric boundary layer (ABL) processes.
- Proximity to the Gulf of Mexico and Galveston Bay highlighted the need to differentiate coastal and urban influences.
Purpose of the Study:
- To present a comprehensive atmospheric boundary layer (ABL) dataset.
- To provide benchmark data for numerical simulations and atmospheric process studies.
Main Methods:
- Collected ABL data from 14 sites across Houston over 46 days (June-September 2022).
- Analyzed measurements from eight research teams using three instrument types.
- Estimated nine thermodynamic and dynamic ABL parameters and cloud occurrence.
Main Results:
- Generated a value-added ABL dataset with thermodynamic (temperature, humidity, depth) and dynamic (wind, velocity, depth) parameters.
- Provided data on a uniform 1-hour time and 30-meter height grid.
- Included contextual cloud occurrence information.
Conclusions:
- The dataset offers a valuable resource for understanding ABL properties and their interactions.
- Facilitates future research on convective clouds, aerosols, and ABL feedbacks in a complex coastal-urban environment.
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