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Related Concept Videos

Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
Vectors in 2D: Problem Solving01:29

Vectors in 2D: Problem Solving

A plane traveling due north at 180 km/h in still air was found to be 80 km off-course after 30 minutes, deviating approximately 5 degrees east of north. This deviation means the influence of a crosswind alters the plane’s intended trajectory. The actual ground path formed a diagonal, suggesting that the aircraft’s effective ground speed was reduced to 160 km/h and directed slightly to the east due to the wind.By analyzing the displacement from the intended path, the velocity contributed by the...
Graphs of Two-Variable Functions01:27

Graphs of Two-Variable Functions

A weather map provides a practical example of a function of two variables. Across a wide region such as the United States, temperatures vary from one location to another. Each location can be identified by two geographic coordinates: longitude and latitude. Since a single temperature value is assigned to each coordinate pair, the situation can be represented mathematically as a function with two inputs and one output.In mathematical notation, longitude and latitude can be labeled as x and y,...
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Introduction to Vector Fields

Vector fields provide a mathematical framework for describing quantities that possess both magnitude and direction at every point in space. Physical phenomena such as wind flow, ocean currents, magnetic forces, and fluid motion can all be represented using vector fields. In meteorology, for example, wind may vary continuously across a geographic region, with both speed and direction changing from one location to another. To visualize this behavior on a two-dimensional map, arrows are placed at...
Systems of Linear Equations in Two Variables01:25

Systems of Linear Equations in Two Variables

Solving a system of linear equations is a fundamental concept in algebra. A system of equations consists of two or more linear equations involving the same set of variables. One of the most efficient algebraic methods for solving such systems is the substitution method. This technique involves expressing one variable in terms of the other from one equation and substituting it into the second equation. This method is particularly useful when one of the equations is easily rearranged.Consider the...
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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

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Published on: February 13, 2018

Long-term wind speed variations for three midwestern U.S. cities.

A Abhishek1, Joo-Youp Lee, Tim C Keener

  • 1Department of Civil and Environmental Engineering, University of Cincinnati, Cincinnati, OH 45268, USA.

Journal of the Air & Waste Management Association (1995)
|September 25, 2010
PubMed
Summary

Wind speeds in three Midwestern cities have significantly decreased, with a notable increase in calm conditions, particularly during warmer months. This trend, linked to large-scale atmospheric patterns, may impact air quality and human health.

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Area of Science:

  • Climatology
  • Atmospheric Science
  • Environmental Science

Background:

  • Midwestern cities face air quality challenges, necessitating understanding of meteorological factors.
  • Long-term wind data is crucial for assessing environmental changes and air quality management strategies.

Purpose of the Study:

  • To investigate long-term wind speed variations in Indianapolis, Cincinnati, and Little Rock.
  • To identify trends in wind speed, including calms and different speed bins.
  • To explore potential large-scale atmospheric drivers influencing these wind patterns.

Main Methods:

  • Analysis of hourly wind data from the National Climatic Data Center (1943-2008).
  • Calculation of frequency of calms and wind speeds across defined bins.
  • Regression analysis, significance testing, and spatial correlation to identify atmospheric forcing.

Main Results:

  • A statistically significant increase in the frequency of calms was observed across all three cities (>99.999%).
  • A decrease in the overall frequency of other wind speeds was noted.
  • The Pacific North American (PNA) teleconnection pattern showed the highest association with observed wind speed trends.

Conclusions:

  • Large-scale atmospheric forcing, specifically teleconnection patterns, significantly influences Midwestern surface wind speeds.
  • Reduced wind speeds and increased calms may impede pollutant ventilation, impacting regional air quality and human health.
  • Ozone mitigation strategies may require adjustments due to altered wind patterns and their effect on pollutant distribution.