Air pressure and wind direction relationship problems

Wind & Air Pressure

air pressure and wind direction relationship problems

Air pressure can simply be measured with a barometer by measuring how the An Ideal Gas behaves in such a way that the relationship between pressure (P), . widely used, easy to make, reliable except in low wind conditions, problems. From your blood pressure to your vision, here's how barometric pressure might affect you. pressure changes as the definitive cause for these issues when so many and wind speed and direction — often accompany shifts in weather. they found a direct correlation between lower atmospheric pressure. Wind can be defined simply as air in motion, (Pidwirny and Slanina, ) extended and the issue of volume has also been addressed (Powell and Reinhold, ). relationship between temperature, pressure and wind speeds is hurricane conditions and therefore standard atmospheric pressure is.

Seasonal weather influences, however, are not the same as day-to-day influences. Case presentation The patient was a middle-aged man with a year history of recurrent episodes of anxiety. In the fall ofhe was readmitted as an outpatient to the Center for Integrative Psychiatry Groningen, the Netherlandsbecause of a relapse of anxiety after accepting a job for the first time in many years. He had been unemployed for 2 years because of his symptoms and because his wife had died of breast cancer, after which he had to take full parental responsibility for his four daughters aged 10 to Just before his readmission he was told that his oldest daughter carries the same breast cancer gene as his wife.

He experienced a general feeling of anxiety and fear, and mild depressive symptoms but no specific phobias or panic attacks. He also had many physical symptoms like fatigue, low energy and nausea. The patient did not meet the criteria for any specific anxiety disorder. The clinical diagnosis made by the therapist was anxiety disorder NOS and cluster C personality traits.

These recordings were part of the treatment. The patient's two main symptoms were identified during the intake interview and were low energy and anxiety. The patient was instructed to score the intensity of these symptoms in two columns of the diary, on a scale from 0 to Higher scores denote more energy and more anxiety. The validity and reliability of single self-report diary items for the assessment of anxiety and lack of energy has been shown in a number of studies.

Daily completion of the diary started as soon as the treatment started, on 23 October, after the intake interview. The patient continued his recordings until 15 Juneresulting in a series of assessment points with no missing values. Weather data were obtained from the Royal Netherlands Meteorological Institute http: The following daily weather variables were retrieved: The wind direction describes the predominant direction from which the wind is blowing that day.

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We recoded the wind direction into four categories: The time series of the patient were investigated using a technique for the analysis of multiple time series called vector auto regressive VAR modelling. These variables were treated as endogenous, which means that they can be both determinant and outcome, allowing for bidirectional influences between these symptoms.

The weather variables were treated as exogenous to the system, which means that they may influence the system but cannot themselves be influenced by the system.

In VAR, each of the endogenous variables is regressed on its own lagged values and the lagged values of the other variables. The error terms should be serially uncorrelated but can be contemporaneously correlated.

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The optimum lag length is the one that minimises goodness-of-fit statistics. As alprazolam and treatment contact did not contribute significantly to the model, these parameters were removed from the final model.

After estimation of the VAR, we examined whether the coefficients of parameters not contributing to the model could be constrained set to 0. The Bayesian Information Criterion was used to compare the fit of successive models.

A barometer is an instrument used to measure air pressure. The surface level air pressures measured all around the world can be plotted on a weather map to show the pattern of air pressure changes. The problem with using measured station pressure though is that not all weather observation stations are located at the same altitude. Higher altitude locations will measure lower air pressure than lower altitude stations, since air pressure falls off so rapidly as one moves upward in elevation.

Recall that winds are caused by changes in air pressure along a horizontal constant elevation surface and that changes in pressure along vertical surfaces do not cause winds. Cities separated by just a few kilometers might have very different station pressures due to differences in station altitude. Thus, to properly monitor horizontal changes in pressure, surface barometer readings must be adjusted to a common altitude to eliminate the pressure differences due to differences in station altitude.

Again, the purpose of the altitude adjustment to the measured station pressure is to have all the pressure measurements be at the same altitude because it is the change in pressure along a horizontal surface that causes winds. Altitude adjustments are made so that a barometer reading taken at one elevation can be compared with a barometer reading taken at another to compute the horizontal change in air pressure.

Station pressures are normally adjusted to a altitude level of mean sea level and the adjusted pressure is called Sea level pressure.

The size of the adjustment depends primarily on how high the station is above sea level. For example, Tucson is about feet meters above sea level. A typical station pressure for Tucson would be in the range mb, which is much lower than a station pressure measured at a location near sea level, like San Diego, which is typically around mb. In order to eliminate the pressure difference that is due to elevation differences, i. You should realize that for Tucson and any other location located at an altitude above sea level the sea level pressure will be greater than the station pressure.

This is simply because air pressure will always decrease as one moves upward in the atmosphere. Compare the current Tucson station pressure with the altitude-adjusted sea level pressure, which are shown in this link under the heading "Pressure". You may also wish to look at the sea level pressure graph over the last 24 hours in Tucson scroll down to the sea level pressure graph. Stations located at even higher altitudes will measure smaller station pressures and a larger adjustment is needed to convert to sea level pressure.

A table of current station and the adjusted sea level pressures for the Denver area is shown in this link. Look at the column headed "millibars or hectopascals" and compare the red value station pressure with the green value adjusted sea level pressure.

Notice that the higher elevation stations have a lower station pressure. The other columns in the table are just different units for measuring air pressure.

air pressure and wind direction relationship problems

The basic concept of adjusting the station pressure to account for pressure differences caused by stations being at different altitudes should make sense to you. However, the details of how exactly this is done can become complicated and you are not expected to know how to calculate sea level pressure from station pressure.

You should understand why it is necessary though. Sea level pressure in millibars is what is plotted on surface weather charts. Isobars are lines connecting points of equal pressure.

The analysis of the sea level pressure data allows for the pressure pattern to be visualized.

air pressure and wind direction relationship problems

Again, the reason we plot out the pressure pattern is that winds are forced by changes in pressure along horizontal surfaces. These "maps" are called sea level pressure charts or surface weather maps. An example of a surface weather map with isobars is shown on the left. The surface pressure map indicates a strong low L, mb over Nebraska and a weak high H, mb near the Great Lakes. Lows mark where a center of lowest pressure is found and highs mark where a center of highest pressure is found.

Note that the change in pressure along a horizontal direction can be determined by examining the pattern of isobars.

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The more closely packed the isobars, the greater the pressure gradient which is the change in pressure divided by the distance over which that pressure change happens. The stength of the pressure gradient is what determines the strength of the winds. The greater the pressure gradient, the stronger the windspeed. Thus, on surface weather maps, the strongest winds are happening where the isobars are closest together and the weakest winds are happening where the isobars are spaced furthest apart.

You can see that the isobars on April 8 were tightly packed over Colorado, so the pressure changed rapidly over the relatively short distance from the center of the low to western Colorado. Meanwhile weak winds would be expected across much of the eastern United States where the isobars are spread apart and the pressure gradient is weak. The current sea level weather chart for the United States can be found at WW at the University of Illinois Click on the image labeled "isobars". On most days, you will not find strong pressure gradients closely packed isobars on weather surface weather maps as seen in the example above.

Fortunately, strong pressure gradients and strong winds at the surface only happen occasionally in association with strong weather systems. However, the weather is more interesting when strong weather systems are present, and I would like you to be able to identify strong weather systems on surface weather maps. The links below show the surface weather maps on two days with strong storm systems: Sea level chart for October 29, Superstorm Sandy The tight packing of isobars is easily seen on the Superstorm Sandy map.

At first glance Hurricane Katrina looks much weaker in that the isobars are not as tightly packed. However, notice that the spacing of the isobars near Katrina is every 8 mb, instead of every 4 mb like it is on the rest of the map and most other maps.

So to properly compare the pressure gradients on the maps, near Katrina there should be another isobar drawn between each of the isobars that encircle the center of the storm. So far we have only discussed how to determine the relative strenth of the wind, but not the wind direction. The relationship between the pressure pattern and direction that surface winds are blowing is explained after the next section on upper air charts.

Reading the Pressure Pattern on Upper Air Weather Charts Horizonal winds blowing at different altitudes above sea level are also very important in determining what is going on with the weather. Upper air weather charts are drawn to visualize pressure patterns at different altitudes. We have also used the mb upper air chart to get a picture of the large-scale weather pattern around the world.

While surface weather charts depict the pressure pattern at a fixed altitude sea levelupper air charts depict a pattern showing how the altitude of a fixed pressure surface changes. There are maps showing the height pattern at mb, mb, mb, mb, and so on. We have previously looked at mb height maps and discussed mb winds. It is very important to realize that the height patterns shown on upper air maps give you the same information about changes in pressure along a horizontal surface that surface maps do, just at different altitudes.

Thus, the pattern of height contours indicate how air pressure varies along horizontal surfaces, for a horizontal surface located where the air pressure is mb. Air is forced or pushed from higher heights toward lower heights and the more closely spaced the height contours, the stronger the pressure gradient and the stronger the winds. This is simply a re-statement of what was previously described about mb winds.

Again this only covers the strength of the wind, based on the pressure gradient information obtained from examining the upper air height contours on a weather map, but not the wind direction. Determining wind direction and relative wind speed from weather charts Because the driving force for all wind is the horizontal change in pressure, the greater the horizontal change in pressure or more precisely the pressure gradientthe greater the windspeed.

The pressure gradient is the horizontal change in pressure divided by the horizontal change in distance. On a weather chart, the magnitude of the pressure gradient can be seen by examining the spacing between the contour lines of the map isobars on the surface map or height contours on the upper air map. Where the lines are closest together, the horizontal change in pressure is stronger, and the winds are stronger.

In other words, higher windspeeds are found where the contour lines are closest together. The force exerted on air by changes in air pressure is known as the pressure gradient force. The direction of the pressure gradient force is from higher pressure toward lower pressure. Thus on weather maps, the pressure gradient force points most directly from higher contour values toward lower contour values and is perpendicular to the contours, i.

Since the pressure gradient force is the root cause of all winds, you might think the wind direction would be directly from high to low pressure, but this is not the case due to the Earth's planetary rotation.

Over short distance scales, air moves in the direction forced by the horizontal pressure changes, i. This is the case for the examples of opening a jar of food or a can of soda mentioned above. However, for large-scale air motions like the ones depicted on weather mapsthe actual wind direction is turned away from this direction because the Earth is rotating. This phenonemon is called the Coriolis effect or Coriolis force.

air pressure and wind direction relationship problems

The details of the Coriolis effect are difficult to understand, so we will not go into them. Basically, it comes about because we are observing the wind from a rotating frame of reference we are attached to the surface of the Earth and are rotating with itwhile the air above is not attached and thus does not have to rotate with it.

air pressure and wind direction relationship problems

I would like to point out that the Coriolis effect is only important for motions that traverse long distances or last long enough for the Earth to move significantly in its rotation. Thus, the Coriolis effect is not significant when shooting a basketball and does NOT affect the direction that water swirls down a drain.

The Coriolis effect is significant for determining the direction of large scale winds from weather charts, the direction of ocean currents, or the paths of long-range missles and airplanes. See this basic description of the Coriolis effect.

air pressure and wind direction relationship problems

Play the merry-go-round video, which is a good demonstration for how the Coriolis force works. Notice that observer looking down on the merry-go-round in a frame of reference that is not rotating sees the ball move in a straight line, which can be easily explained by the laws of motion, i. However, for someone observing the ball on the merry-go-round in a frame of reference that is spinning clockwise, the ball appears to curve to the left.