Remit

 

I made it’s duty, to examine the data of some internet weather forecasts for Goettingen. I picked several weeks long for weather forecasts out of the internet.   and then compared them with the measured data of our FKG -weatherstation .   

 

 Here you find the examined offerers from the net, the measured variables, it prognosticates (yes) and the forecast duration in days.

 

 

Adress 

Temp. min\max

Precipitate

Wind direction

Storm force

      

http://donnerwetter.de    4 days

Yes

Yes

Yes

Yes            

http://www.wetter.com   4 days

Yes

No

Yes

Yes

http://www.freenet.de/freenet/wetter/deutschland/index.html

5days

Yes

 

No

No

No

http://www.wetteronline.de 6days

Yes 

No

Yes 

Yes

http://wetter.rtl.de/

5days

Yes

No

Yes

Yes

http://www.msn.de/wetter/Default.asp 3days

Yes

Yes

Yes

Yes              

 

My output theses:

 

Ø      The forecast’s marksmanship ist the most precise during high pressure weather conditions, and the smallest during transition weather conditions.

Ø      The temperature’s predicted minimum and maximum are lower than the measured ones , since there’s a island of warmness created by the high development around city center near the weatherstations.

Ø      In contrast to the forecast there are more south- and northwinds measured due to the north-south running Leinetal -canalizationeffect.

Ø      Due to the earth surface’s roughness (buildings) around the weatherstation are the storm forces stated in the weather report bigger than expected.

Ø      Because of the city’s heat island effect , the precipitate’s arises more often than predicted by the weather forecasts.   

Ø      The accuray decreases from day to day.

 

 

 

 

 

 

 

Here are the Results!

 

 

1.   The forecast’s marksmanship ist the most precise during high pressure weather conditions, and the smallest during transition weather   conditions.

 

·        Here wetter.com is best , its  forecasts were quiet correct, even during a weather change.

 

2.   The temperature’s predicted minimum and maximum are lower than the measured ones , since there’s a island of warmness created by the high development around city center near the weatherstations.

 

·        The offerer rtl-wetter also considered the islands of warmness .

 

  1. Due to the buildings the wind is slowed down, so that lower data are measured than they were predicted.

 

·        All offerers did not consider this in their forecasts.

 

 

  1. Because of the city’s island of warmness .

 

·        Wetteronline gave the most precise data and so considered the island of warmness...

 

  1. The forecast’s accuary decreases from day to day.  

 

·        Rtl-wetter gave the best long-term forecast.

 

 

 

Altogether I can say that all offereres’ forecasts,especially during the first two prognosed days,are rather exactly.     

 

 

 

      Due to a technological problem it wasn’t possible for me to compare the storm forces .

 

 

 

Tobias (8bil, February 2006)
      translated by Julia (9f) & Julia (Voigt 10b)