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Updated: Jan 23, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
Modeled changes to the Great Plains low-level jet under a realistic irrigation application
1Department of Geography, Environment, and Spatial Sciences Michigan State University East Lansing Michigan.
Irrigation significantly impacts low-level jets (LLJs) by increasing their speed and slightly lowering their height over the Great Plains. This study used a realistic irrigation model, showing more accurate effects than previous methods.
Area of Science:
- Atmospheric Science
- Meteorology
- Climate Modeling
Background:
- Low-level jets (LLJs) are crucial for moisture transport and convection in the Great Plains.
- Anthropogenic activities, like irrigation, can alter surface energy fluxes, influencing the planetary boundary layer (PBL) and LLJs.
Purpose of the Study:
- To investigate the effects of realistic irrigation on LLJ development across the Great Plains.
- To compare simulation results with and without a dynamic irrigation scheme.
Main Methods:
- Incorporated a dynamic irrigation scheme into the Weather Research and Forecasting (WRF) model.
- Conducted WRF simulations for the summer of 2012, a period of drought in the Great Plains, with and without the irrigation scheme.
Main Results:
- Simulations showed statistically significant increases in LLJ speeds with the irrigation scheme active.
- A decrease in mean jet core height (approx. 50 m) during overnight hours was observed with irrigation.
- A 5-10% increase in LLJ occurrence frequency over irrigated regions was noted, though not statistically significant.
Conclusions:
- Realistic irrigation schemes in climate models produce more nuanced changes to LLJs compared to simpler, less realistic methods.
- Accurate representation of human activities, such as irrigation, is essential for improving climate model predictions of atmospheric phenomena like LLJs.
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