Wising Up to Weather Words - dummies

Wising Up to Weather Words

You hear these words all the time on your local weather forecast: highs and lows and temperatures and pressures and wind chills and humidities and chances of showers and wind speeds and directions. But just how slight or how likely is a chance of showers? What exactly are you being told?


When a forecaster sees rain or snow on the way, she has some decisions to make about how to describe the precipitation she expects. She needs to think about how likely it is, how long it will last, and how intense it will be. What is the probability, or chance, that it will rain? Will it rain “’til the cows come home” or only briefly? When it rains, will it “come down like cats and dogs” or merely sprinkle?

Sometimes when people hear the word rain in a forecast, that’s the only word that catches their attention. They make the mistake of assuming that it is absolutely certain that rain will fall on their head sometime during the day. And if it doesn’t, well, “Wrong again, she said it would rain.” More likely, the forecaster used a few key words that didn’t make the same impression as “rain in the forecast.”

The National Weather Service has issued guidelines for expressing the likelihood of precipitation in hopes that certain word usages would become standard among forecasters. It hasn’t worked out very well.

For one thing, the terms the agency uses are easy to misunderstand. It leans heavily on using something called probability of precipitation, which sounds fairly simple when you hear it. But it can mean one thing for one person and something else for another and might even be used to express different things under different weather circumstances.

Technically, probability of precipitation is the chance, expressed as a percentage, that a measurable amount of rain — .01 of an inch or more — will fall someplace in the forecast area in the next 12 hours. It is a combination of two figures — the likelihood of precipitation in the area and the percentage of the area that is likely to get it. This doesn’t tell you as much as you might think. If there is a 50 percent chance that rain will develop anywhere in the forecast area, and 40 percent of the area is expected to get rain, this translates into a 20 percent chance of rain.

A 70 percent chance of rain doesn’t tell you that there is a 70 percent chance of rain everywhere in the forecast area, for example, and it doesn’t tell you that rain will fall on 70 percent of the area. It’s easy to think that a 70 percent chance of rain means a pretty hefty rainfall is likely, and a 20 percent chance means that only a little rainfall is on the way. But that would be wrong, too. Probability of precipitation doesn’t tell you anything about how long it is going to rain or how much it is likely to rain.

It’s easy to see why many television meteorologists put a different spin on the forecast, finding other ways to tell viewers what to expect. Other meteorologists at private forecasting firms, such as AccuWeather, Inc., employ a more user-friendly “public communications meteorology” that is intended to better describe how the day’s weather is likely to go than the National Weather Service’s way of saying things.

The National Weather Service forecast might say something like this: “Partly sunny today with showers and thunderstorms likely in the afternoon. Probability of precipitation is 70 percent.”

AccuWeather’s version of such a forecast might go something like this: “Sunshine this morning, clouds will billow up during the afternoon, bringing much of the area a brief downpour between 5 and 8 p.m.”

Often, you will hear forecasters use a variety of key words to give more meaning to the probability statistics that the computer models put out. These words can describe the likelihood of rain in other ways. They might tell you how certain the chances are of rain, for example, or they could tell you how much area the rain is likely to cover.

A slight chance of rain, for example, generally means that the probability of rain is 20 percent or less. Expressed another way, a slight chance of rain can be described as scattered showers. At least, that’s what the National Weather Service has in mind.

When a forecaster says there is a 30 percent chance of showers, it is worth keeping in mind the other side of the coin: There is a 70 percent chance that it won’t rain! When a forecaster predicts scattered showers, it doesn’t mean it is going to scatter showers on you. (So count yourself lucky and give your forecaster a break!)

Another set of four key words often is used to describe the duration of the rain that forecasters expect: brief, occasional, intermittent, frequent.

A weather forecaster also can use key words to describe the intensity of the rain to expect. Nobody does it exactly the same way, but here are how some of the key words are commonly used:

  • Very light, when less than .01 of an inch is expected
  • Light, from .01 to .10 inch per hour
  • Moderate, from .10 to .30 inch per hour
  • Heavy, for anything above .30 inch per hour


Daytime maximum temperatures and nighttime minimums that a forecaster expects are often expressed as ranges. If the forecast covers a wide area, the highs and lows are not going to be the same in one place as in another. While few forecasters would pretend that they can predict the exact degree of high and low temperatures, still single numbers might be favored. Studies have shown that single numbers are easier to remember than ranges of numbers or words that describe ranges.

Temperatures of the air are very sensitive to local conditions, such as the presence of a tree or a parking lot. The tree will keep you cooler during the day, of course, and the parking lot is hot. But these features of the landscape may have the opposite effect after dark. You may notice that the tree may actually have a warming influence on the temperature overnight, while the exposed parking lot can be especially cold.

Temperature ranges are generally forecast in units of five degrees, and you commonly hear these key words used to describe them:

  • Near, as in near 45
  • Around, as in around 20 degrees
  • About, as in about 75
  • Lower, as in lower 60s (60–64)
  • Mid, as in mid 60s (63–67)
  • Upper, as in upper 60s (66–69)

Forecasts of conditions beyond a couple of days are likely to use wider ranges of temperatures, calling for temperatures, for example, simply “in the 60s.”

Short-term forecasts for a specific area often are expressed in specific numbers, such as 70/52/74 to indicate a high of 70 degrees, an overnight low of 52, and a following daytime high of 74.

To avoid confusion, when temperatures get below 10 degrees or above 100, specific numbers are often used, even to express ranges. The forecast might be for a high of near 106, for example, or 102 to 108.

Temperature’s relative humidity

What a funny country. Everybody east of the Rocky Mountains is very familiar with the idea of humidity, the amount of water vapor in the air, and a lot of people west of the Rockies don’t know what all the fuss is about. Out West, when the temperatures get uncomfortably high, people console themselves with the idea that “It’s a dry heat.”

When it comes to the human body’s comfort zone, the temperature of the air around it is only part of the story. A summer day when the maximum temperature hits 95 degrees in Sacramento, California, for example, is a very different experience than a summer day when it reaches 95 degrees in Chicago or Pittsburgh. In Sacramento, you might hear people remarking about the “nice weather.” In Chicago or Pittsburgh, people are starting to get the look of disaster on their faces.

The moisture of the air — the amount of water vapor it contains — is important to how you feel about the temperature of the air and important to how the air behaves when it comes to making weather. Moisture determines how much more water vapor it is likely to absorb through evaporation, on one hand, and how likely it is to give up water vapor through condensation, on the other. These tendencies are often measured by a property called relative humidity.

Relative humidity is a little tricky. It is expressed as a percentage, which is easy to get, well, not quite right. When a weather forecaster says the relative humidity is 40 percent, for example, he is not saying that the air contains 40 percent water, or even 40 percent water vapor. Relative humidity describes the percentage of water vapor in the air in relation to the total amount of water vapor the air can contain at that temperature. The air is 40 percent along the scale between holding absolutely no water vapor (which never happens, by the way) and holding all that it can, its point of saturation, which happens a lot.

Water vapor is an invisible gas, but you see and feel the effects of the air’s relative humidity all of the time. When you take a shower, for example, you’re adding so much water vapor to the air that it is quickly saturated. Condensation is producing tiny water droplets and you’re standing in a little cloud. Step out of the shower, and you might begin to feel a little chill. You are stepping into air that is less humid, and heat is leaving your wet skin through evaporation. The heat is used to convert the liquid into the water vapor that is being absorbed into the air. The bathroom mirror is fogged up because the air up against its cooler surface has fallen to its saturation point and some of its water vapor has condensed into dew.

Clouds form when air rises and cools to its point of saturation.

Relative humidity on a warm day can make all the difference in how you feel. When the relative humidity of the 95-degree air is low, it is relatively easy for the body to cool itself. Perspiration seeps through the pores in the skin, and the moisture easily evaporates into the air. Heat energy burned up in changing the water from liquid to vapor leaves the body’s temperature cooler. When the relative humidity of the 95-degree air is high, however, it really doesn’t want to take up much more water vapor, thank you, so it is much harder for the body to get rid of its heat and its perspiration. So the heat builds up, the perspiration accumulates, and the poor body, well, it just kind of stews.