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.