The key concept that you should take away from this page is how to decode the sea-level pressure from a station model. In order to be able to do this, however, you first need to have a good appreciation about the range of sea-level pressures typically observed in the atmosphere. Do not skip over this important information.
Of all the atmospheric variables depicted on the station model, the most difficult to directly detect using our human senses is air pressure. Oh yes, you probably already know that changes in air pressure are at work whenever your ears pop on a drive up or down a mountain or during take-off and landing of an airplane. Also, some people with arthritis or bursitis experience discomfort when air pressure decreases as a storm approaches. But, with few exceptions, most folks can't physically sense that air molecules exert a whopping pressure on them. Even if you have a barometer in your home, this instrument only "passively" measures the pressure exerted by air molecules.
Okay, how much force do air molecules exert? In high school, you probably learned that pressure results when a force is exerted on an object (picture a boxer's jab against a punching bag). A large force exerted on a small area (such as a hockey player's weight pressing down on a tiny area of the ice in contact with his weight-bearing skates) results in a very large pressure. You also probably remember that, at sea level, the average air pressure is approximately 14 pounds per square inch! That amounts to a total force of over 1.5 tons on top of third base in the "hot corner" of the baseball diamond in Yankee Stadium (in case you're interested in making the calculation yourself, the dimensions of a baseball bag are 15 inches by 15 inches, which equals an area of 225 square inches).
For the record, pounds per square inch are not the preferred units for pressure in this course and in several other circles. For example, many home barometers measure pressure in inches of mercury, which are based, not surprisingly, on the mercury barometer. After air was evacuated from a glass tube, the open end of the tube was immersed in a reservoir of mercury, allowing air pressure to force mercury to rise in the glass tube. At sea level, the standard height of the mercury column is 29.92 inches, which converts to 76 centimeters. Although inches of mercury are perfectly acceptable in the context of high- and low-pressure systems you routinely see on the evening news, professional weather forecasters prefer another measure of air pressure -- millibars. Let's investigate.
You will later learn that evolving horizontal patterns of air pressure are crucial to weather forecasting, which is one of the reasons why forecasters pay such close attention to centers of highest and lowest pressure on weather maps. On the image of clouds from space shown on the left, please note the expansive shield of clouds associated with a moderately strong low-pressure system off the Middle Atlantic Seaboard. In contrast, notice the relatively clear skies associated with high pressure over the western Gulf States. We will discuss the general weather patterns associated with highs and lows later in the course.
Because air pressure plays such an important role in determining the type of weather we might experience, it is no surprise that it has a place on the station model. So let's discuss how to decode the three numbers in the upper-hand corner of any station model that represent air pressure.
Look at the current map of surface observations and check out the upper right-hand corner of one of the station models. The three digits in the upper-right corner of a station model represent sea-level pressure expressed in millibars (mb). Before you can understand how to decode these digits, you must have a sense for the range of sea-level pressures observed in the atmosphere (you'll see why in a minute).
For starters, the average sea-level pressure (computed over the entire earth over a long period of time) is roughly 1011 mb. Weather associated with average sea-level pressure can be rather tame, so let's entertain the notion of a low-pressure system. For the record, a representative value for sea-level pressure at the center of a formidable low-pressure system (an "L" on a weather map) that can cause, for example, heavy snow during winter might be in the neighborhood of 960 to 980 mb.
On the flip side, a representative value for sea-level pressure at the center of a strong high-pressure system that comes down from Canada in winter might be in the neighborhood of 1035 to 1050 mb. As a general guideline, nearly all sea-level pressures lie between 960 millibars and 1050 millibars, with most pressure readings falling between 980 and 1040 mb. Narrowing down the field even further, most sea-level pressures tend to cluster closer to 1013 mb.
There are exceptions, of course. Hurricanes, the king of low-pressure systems on Planet Earth, can achieve very low-pressure readings at their center (the eye). Consider Hurricane Linda, which, on September 12, 1997, became the most powerful hurricane ever observed in the eastern Pacific Ocean. The lowest sea-level pressure retrieved by aircraft reconnaissance was 902 mb, as winds gusted over 200 miles an hour just outside the storm's eye. Needless to say, you will rarely, if at all, encounter pressure readings this low when dealing with most mundane station models.
On the other extreme, the king of high-pressure systems that occasionally form over Siberia during the throes of Arctic winter can attain maximum sea-level pressure readings above 1060 mb. You will rarely, if at all, encounter such high-pressure readings; although, in fairness, very high barometric readings are possible in Alaska whenever high-pressure systems slide across the Bering Sea from Siberia.
Okay, let's return to decoding sea-level pressure on the station model. The three numbers in the upper-right-hand corner of the station model represent the last three digits of the station's sea-level pressure, which is always expressed to the nearest tenth of a millibar. Thus, to decode the pressure reading, you must first add a decimal in front of the right-most digit. Then you need to place either a "9" or a "10" in front of the three digits. How do you make such a decision? Just keep in mind that most values of sea-level pressure lie between 980 and 1040 mb (with a few occasional outliers between 950 and 980 mb and 1040 and 1050 mb, and even fewer outliers lower than 950 mb and higher than 1050 mb).
Based on statistical distributions of sea-level pressure, here are general guidelines for decoding pressure on surface station models: If the station-model code for sea-level pressure is less than "500", add a "10" (for example, "032" = 1003.2 mb. If the station-model pressure is greater than "500" add a "9" (for example, "968" = 996.8 mb). Caveat: Beware of these guidelines whenever you're dealing with a strong low pressure (such as a hurricane) or a burly high-pressure system from the Arctic. In such cases, you'll discover that the guidelines will typically break down. Again, always decode pressure shown on station models with the prevailing weather pattern in mind.
The key skill in this section is decoding pressure on a station model. Look at the three digits listed in the upper right on the station model below-- "046." Remember, to decode this pressure you first add a decimal between the 4 and the 6, giving "04.6." Now, you must add either a "9" or a "10" to the front of this number. Here's where your knowledge of typical sea-level pressures comes into play. Adding a "9" gives a pressure of "904.6 mb," while adding a "10" gives you a pressure of "1004.6 mb". Which of these two choices is likely the answer? As long as this is not an observation from a strong hurricane, then "1004.6 mb" is the correct choice. Experiment with the station model tool and observe how different pressures are coded. Practice decoding some random 3-digit coded pressures and check them with the tool (type your answer into the Current Conditions panel and see if the station model displays the 3-digit code that you started with).
Ready to check your skill at decoding pressures from a station model? Use the quiz below to practice. Good luck!
One final comment. In the discussion on decoding air pressure on the station model, I repeatedly referred to "sea-level pressure," even though most of the United States does not lie at sea level.
In order to gain insight into the horizontal patterns of surface air pressure that govern weather, meteorologists require a "level playing field." What do I mean by that? Well, if you packed a barometer on a trip to Denver, Colorado (elevation: approximately one mile), it would consistently read about 850 mb. Check out this chart of mean station pressure for the United States. Note the very low pressures located over the central Rocky Mountains (less than 780 mb!). Is there a never-ending hurricane at Denver? Obviously not. The pressure is always low at Denver because the city lies at a high elevation (more on the natural decrease in pressure with increasing altitude later in the course). So, to get a reasonable idea of the locations of the H's and L's on a flat "playing field" (a weather map at sea level is the most natural choice), meteorologists adjust the readings on barometers at Denver, pretending that the Mile-High City lies at sea level. At first this might seem a bit strange, but working with sea-level pressures in a world that's not entirely at sea level really doesn't pose all that big of a problem.
Meteorologists "correct" the station pressure to sea level by estimating the weight of an imaginary column of air that extends from station (in this case Denver, Colorado) to sea level. The surface temperature at the location is used to compute a representative density of the imaginary column, which when combined with the station altitude is then converted to a column weight. In turn, this estimated weight of the imaginary air column converted into a pressure adjustment that gets added to the observed station pressure. This results in the adjusted sea-level pressure that you see displayed on the station model. Check out a visual representation of the adjustment process in this schematic.