chapter 1- Weather forecasting methods Flashcards
Weather Forecasting Methods
persistance
trends
climatology
analogue
numerical weather prediction
The method a forecaster chooses depends upon
- the experience of the forecaster,
- the amount of information available to the forecaster,
- the level of difficulty that the forecast situation presents, and
- the degree of accuracy or
- confidence needed in the forecast
Persistence
It is the simplest way of producing a forecast.
The persistence method assumes that
the conditions at the time of the forecast will not change
1.1 Persistence
It gives a prediction based on
the assumption that the weather in the future will be the same as it currently is
Persistance
for example
if it is sunny and 47 degrees today, the persistence method predicts that it will be sunny and 47 degrees tomorrow
The persistence method works well when
weather patterns change very little and features on the weather maps move very slowly.
Persistence forecasts are generally good only for
short periods of a few hours and become less accurate as the time period lengthens.
However, if weather conditions change significantly from day to day, the persistence method usually
breaks down and is not the best forecasting method
Trend Forecasting
In this method, the forecaster is looking at the changes that are occurring in the weather systems; the fronts, air masses, high and low pressure systems, which are affecting the station and areas of clouds and precipitation.
Trend forecasting
the forecast is based on
the assumption that these changes will continue at the same rate they have been occurring.
Trend forecasting
example
if a storm system is 1000 km west of your location and moving to the east at 250 km per day, using the trends method you would predict it to arrive in your area in 4 days.
Similarly, if a cold air mass is moving toward the station and temperatures at stations within the air mass are dropping at 1o C per hour, then temperatures at the station for which you are forecasting will also drop at 1 o C per hour.
For example, using the trend forecasting, what will the temperature forecast for 10.00 Hrs. and 19.00 Hrs.?

+40 –> 10
+38 –> 19
The trends method works well when
systems continue to move at the same speed in the same direction for a long period of time. If they slow down, speed up, change intensity, or change direction, trends forecast will not work as well.
Trend (steady‐state) forecasting gives a good guide to follow at least for
short periods of time. Attempting to use this method for a forecast greater than 24 hours will usually prove inaccurate.
the method has proven successful for
forecasts of a few minutes to several hours
The method called now casting which refers to forecasts for the next several hours, are often based on such steady‐state techniques.
Climatology
This method uses such guidelines as the average value of weather elements for a region, the maximum and minimum values of weather elements, the most or least time of occurrence of certain weather phenomena, etc. to make a prediction of the value of those weather elements for some future period.
Climatology
it is based on
the assumption that the specific element value will not be significantly different than the values of that element from previous observations.
climatology
example
if you were using the climatology method to predict the weather for a station on July 4th, you would go through all the weather data that has been recorded for every July 4th and take an average
climatology
if you were making a forecast for temperature and precipitation then you would
use this recorded weather data to compute the averages for temperature and precipitation
The climatology method only works well when
the weather pattern is similar to that expected for the chosen time of year. If the pattern is quite unusual for the given time of year, the climatology method will often fail.
Analogue
The Analog Method is a slightly more complicated method of producing a forecast. It involves examining today’s forecast scenario and remembering a day in the past when the weather scenario looked very similar (an analog).
Analogue
example
suppose today is very warm, but a cold front is approaching your area. You remember similar weather conditions one last week, also a warm day with cold front approaching.
• You also remember how heavy thunderstorms developed in the afternoon as the cold front pushed through the area.
For example, suppose today is very warm, but a cold front is approaching your area. You remember similar weather conditions one last week, also a warm day with cold front approaching.
• You also remember how heavy thunderstorms developed in the afternoon as the cold front pushed through the area.
Therefore, using the analog method, you would
predict that this cold front will also produce thunderstorms in the afternoon
The analog method is difficult to use because
it is virtually impossible to find a perfect analog. Various weather features rarely align themselves in the same locations they were in the previous time.
Even small differences between the current time and the analog can lead to
very different results
Even small differences between the current time and the analog can lead to very different results.
However,
as time passes and more weather data is archived, the chances of finding a “good match” analog for the current weather situation should improve, and so should analog forecasts.
Numerical Weather Prediction uses
the power of computers to make a forecast
Numerical Weather Prediction
It involves using
mathematical equations to describe the atmospheric processes that causes changes to weather elements; such as, temperature, pressure, winds etc., that make the state of the atmosphere.
1.5 Numerical Weather Prediction
It involves using mathematical equations to describe the atmospheric processes
that causes changes to weather elements; such as, temperature, pressure, winds
etc., that make the state of the atmosphere.
This state of the atmosphere (initial conditions), is defined by
the value of weather at grid pints, (at ground or sea level and vertically in the atmosphere).
This state of the atmosphere (initial conditions), is defined by the value of weather at grid pints, (at ground or sea level and vertically in the atmosphere).
Once weather observations are entered into the program, the computer can
generate the initial conditions and solve the equations to determine new values of the weather elements for some period in the future;
Numerical Weather Prediction
example
ten minutes past the time the observation measurements were made.
• The computer then uses these new values to determine subsequent values at each grid point ten minutes later.
• This procedure continues until values have been determined for 12, 24, 36, 48 hours, and for some models even longer, into the future.
Numerical Weather Prediction
limitations are due to
errors in forecast models and initial conditions
NWP
Despite the limitations due to errors in forecast models and initial conditions, the NWP is the best method at
forecasting the day‐to‐day weather changes