Ten Day Temperature Forecasts: Their Accuracy

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Created 2004/04/21, modified 2004/12/23
Feedback welcome; email daveclarkecb@yahoo.com

Note that this page is probably out of date. The forecasting methods and accuracy of uk.weather.com have probably changed since this study was done.
The page has been left here for archival reasons.

This is an independent study into the accuracy of ten-day weather forecasts as published on the Internet by uk.weather.com.

Huge numbers of people access these weather forecasts, but who knows or cares how accurate they are?

This page records the maximum daily temperatures forecast for Adelaide, South Australia, and compares them with the actual temperatures recorded there. It covers the period from 13th April 2004 to 31st May 2004 and is a current project.

Also see 7-day forecast which considers the 7-day forecast data as broadcast on South Australian TV.

For this period the averages of the absolute errors are given in the table below. All temperatures are in degrees Celsius.
Days ahead123 45678 910
Ave. error1.31.31.41.3 1.92.22.22.22.1 2.0

That is, for example, the one-day forecast was on average 1.3 degrees in error, either too high or too low, etc. One would expect that the greater the time span of the forecast, the lower the accuracy is likely to be. This trend is beginning to show up.

To place these forecasts in some perspective one can consider how they compare to a forecast of the average maximum daily temperature for the time of year. The far right column in the table below shows the absolute difference between the actual temperture and the average maximum temperature for each day. If one was to forecast these average temperatures then the average absolute error of the forecasts would be 2.5 degrees indicating that the further reaching forecasts are little better than forecasting the average maximum daily temperatures.


Data

The data used to produce the above accuracies are given in the table below. Note that the table contains gaps because there were days when I was unable, or forgot, to record the forecast temperatures.
Weather forecasts - daily maximum temperatures
Forecasts: No. of days ahead Absolute errors
Difference between forecast and actual temperature
Dif. from
average
DayDateActual temp.123456789101234567891
Tuesday13/04/200431.5283.59.5Wednesday14/04/200432.229273.25.2Thursday15/04/200421.122230.91.9Friday16/04/200420.420220.41.61
Saturday17/04/200421.5212121220.50.50.50.5Sunday18/04/200420.621222222220.41.41.41.41.4Monday19/04/200425.02322242421222.03.01.01.04.03.0Tuesday20/04/200427.8252624242422202.81.83.83.83.85.87.8Wednesday21/04/200430.326282626262622214.32.34.34.34.34.38
Thursday22/04/200428.72826242826262622220.72.74.70.72.72.72.7<
Friday23/04/200418.41919192126232222230.60.60.62.67.64.63.6Saturday24/04/200416.71818181921252419191.31.31.32.34.38.37.3<
Sunday25/04/200416.5191919202122252421212.52.52.53.54.55.58.5<
Monday26/04/200418.4202020202122232322191.61.61.61.62.63.64.6<
Tuesday27/04/200417.8201919202022222221202.21.21.22.22.24.24.2
Wednesday28/04/200419.1202019202222222222200.90.90.10.92.92.92.9Thursday29/04/200416.3171920191921212122210.72.73.72.72.74.74.7Friday30/04/200418.0161617181818191920222.02.01.00.00.00.01.0<
Average of absolute errors for April data1.81.92.02.03.03.94.44.74.53.54.2
DayDateActual temp.123456789101234567891
Saturday1/05/200416.4161616161818181818190.40.40.40.41.61.61.6
Sunday2/05/200417.8171717171718181818180.80.80.80.80.80.20.2Monday3/05/200418.3191919191918181918180.70.70.70.30.70.30.3Tuesday4/05/200419.3181818191918181919191.31.31.30.30.31.31.3<
Wednesday5/05/200418.5181818182019171718210.50.50.50.51.50.51.5Thursday6/05/200419.7201918191919191818180.30.71.70.70.70.70.7
Friday7/05/200419.42121202019192118191.61.60.60.60.40.41.6
Saturday8/05/200421.3212121212121201921190.30.30.30.30.30.31.3
Sunday9/05/200419.52021212222192119190.51.51.52.52.50.51.5
Monday10/05/200420.520202221212020200.50.51.50.50.50.5Tuesday11/05/200421.320212119191820191.30.30.32.32.33.3Wednesday12/05/200422.2191919191919203.23.23.23.23.2<
Thursday13/05/200420.417171719192019193.43.43.41.41.40.4Friday14/05/200419.720192019181821210.30.70.30.71.71.7Saturday15/05/200418.418181919191818190.40.40.60.60.60.4Sunday16/05/200419.221191922221916161.80.20.22.82.80.2Monday17/05/200417.617171718212121160.60.60.60.43.43.43.4<
Tuesday18/05/200417.416172018182121171.40.42.60.60.63.63.6
Wednesday19/05/200417.71718192118181818170.70.31.33.30.30.30.3
Thursday20/05/200419.2201919192019191919170.80.20.20.20.80.20.2Friday21/05/200420.4212121201918182120200.60.60.60.41.42.42.4<
Saturday22/05/200423.4191920181917192022224.44.43.45.44.46.44.4Sunday23/05/200418.7181819191821192019200.70.70.30.30.72.30.3<
Monday24/05/200418.4171617171518181921181.42.41.41.43.40.40.4<
Tuesday25/05/200417.5171717171716181916200.50.50.50.50.51.50.5
Wednesday26/05/200415.4161517161616161718160.60.41.60.60.60.60.6Thursday27/05/200414.7161516151616161618161.30.31.30.31.31.31.3Friday28/05/200417.5161717161515171717181.50.50.51.52.52.50.5<
Saturday29/05/200416.1171817171714161717170.91.90.90.90.92.10.1Sunday30/05/200418.2192020191817151714140.81.81.80.80.21.23.2<
Monday31/05/200419.3191919201918181718140.30.30.30.70.31.31.3<
Averages of absolute errors for May data 1.01.01.11.01.31.5 1.41.31.31.51.6
Average of all absolute errors 1.31.31.41.31.92.2 2.22.22.12.02.5

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