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Country or TerritoryStation NameWMO Station NumberNational Station Id NumberPeriodElement-Statistic Qualifier CodeStatistic DescriptionUnitJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual Annual NCDC Computed Value 
AUSTRIASt. Plten11028 1961-1990 Mean Monthly Valuecount5.0 4.0 2.0 1.0 1.0 1.0 0.0 1.0 4.0 7.0 6.0 5.0 -9999.9137.0 
AUSTRIAWien-Hohe Warte11035 1961-1990 Mean Monthly Valuecount8.0 5.0 3.0 1.0 0.0 0.0 0.0 0.0 2.0 6.0 6.0 6.0 -9999.9137.0 
AUSTRIASonnblick11146 1961-1990 Mean Monthly Valuecount21.0 19.0 23.0 25.0 27.0 26.0 26.0 25.0 22.0 18.0 19.0 20.0 -9999.91271.0 
AUSTRIASalzburg11150 1961-1990 Mean Monthly Valuecount9.0 6.0 2.0 1.0 1.0 1.0 0.0 1.0 5.0 9.0 8.0 8.0 -9999.9151.0 
AUSTRIAKlagenfurt11231 1961-1990 Mean Monthly Valuecount15.0 10.0 6.0 3.0 3.0 3.0 3.0 4.0 11.0 16.0 16.0 16.0 -9999.91106.0 
AUSTRIAGraz-Thalerhof11240 1961-1990 Mean Monthly Valuecount20.0 14.0 10.0 6.0 6.0 6.0 7.0 11.0 17.0 20.0 18.0 20.0 -9999.91155.0 
AUSTRIAInnsbruck-Uni11801 1961-1990 Mean Monthly Valuecount5.0 4.0 3.0 1.0 0.0 0.0 1.0 0.0 1.0 2.0 3.0 6.0 -9999.9126.0 
BAHRAINBAHRAIN INTERNATIONAL AIRPORT41150 1961-1990 Mean Monthly Valuecount1.7 1.2 0.4 -9797.920.2 0.1 0.1 -9797.920.3 0.7 0.9 1.0 -9999.916.6 
BENINKANDI65306 1961-1990 Mean Monthly Valuecount0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 1.0 
BENINNATITINGOU65319 1961-1990 Mean Monthly Valuecount0.0 0.0 0.0 0.0 0.0 1.0 3.0 3.0 4.0 2.0 0.0 0.0 13.0 13.0 
BENINPARAKOU65330 1961-1990 Mean Monthly Valuecount1.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 4.0 7.0 8.0 5.0 29.0 28.0 
BENINSAVE65335 1961-1990 Mean Monthly Valuecount6.0 2.0 1.0 1.0 3.0 4.0 2.0 4.0 4.0 7.0 9.0 8.0 4.0 51.0 
BENINBOHICON65338 1961-1990 Mean Monthly Valuecount2.0 1.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 1.0 1.0 3.0 9.0 10.0 
BENINCOTONOU65344 1961-1990 Mean Monthly Valuecount9.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 8.0 24.0 21.0 
CYPRUSLARNACA AIRPORT17609 1976-1990 Mean Monthly Valuecount0.0 0.0 1.0 1.0 2.0 5.0 5.0 3.0 0.0 0.0 1.0 1.0 -9999.9119.0 
CZECH REPUBLICCheb11406 1961-1990 Mean Monthly Valuecount6.4 6.6 5.6 3.3 3.9 3.5 3.8 6.2 9.6 10.6 7.0 5.3 72.3 71.8 
CZECH REPUBLICPraha 6, Ruzyne11518 1961-1990 Mean Monthly Valuecount7.8 6.7 4.6 2.8 1.8 1.8 0.9 2.3 5.0 8.9 8.3 7.2 58.0 58.1 
CZECH REPUBLICBrno 4, Turany11723 1961-1990 Mean Monthly Valuecount8.8 5.2 3.2 1.0 0.8 1.0 0.9 1.0 2.6 5.8 6.8 8.2 45.4 45.3 
CZECH REPUBLICMosnov, Ostrava11782 1961-1990 Mean Monthly Valuecount5.3 5.7 4.1 2.7 3.5 3.0 2.0 3.3 5.6 7.5 6.0 4.8 53.6 53.5 
EGYPTSALLOUM62300 1961-1990 Mean Monthly Valuecount1.0 .1 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.911.1 
EGYPTMERSA MATRUH (A)62306 1961-1990 Mean Monthly Valuecount.2 .1 .5 .9 1.1 1.2 .5 .7 .3 .2 .2 .0 -9999.915.9 
EGYPTDABAA62309 1961-1990 Mean Monthly Valuecount.0 .0 .3 .2 .1 .0 .0 .0 .0 .1 1.0 .0 -9999.911.7 
EGYPTALEXANDRIA/NOUZHA62318 1961-1990 Mean Monthly Valuecount2.5 2.6 2.6 2.0 1.5 1.1 .6 .8 1.3 3.1 2.6 2.8 -9999.9123.5 
EGYPTPORT SAID/EL-GAMIL62332 1961-1990 Mean Monthly Valuecount.2 .2 .1 .0 .1 .0 .0 .1 .1 .1 .7 1.0 -9999.912.6 
EGYPTEL ARISH (A.)62337 1961-1990 Mean Monthly Valuecount.4 .5 .2 .1 .0 .0 .1 .0 .5 .2 .8 .5 -9999.913.3 
EGYPTTAHRIR62345 1961-1990 Mean Monthly Valuecount1.1 1.3 .7 .3 .1 .0 1.0 .5 1.0 1.5 2.4 1.9 -9999.9111.8 
EGYPTTANTA62349 1961-1990 Mean Monthly Valuecount1.5 1.4 2.4 .9 .8 1.0 2.1 1.4 2.2 2.2 2.2 1.7 -9999.9119.8 
EGYPTCAIRO (A)62366 1961-1990 Mean Monthly Valuecount1.6 .9 1.5 1.3 .5 .8 2.7 2.5 2.2 2.3 2.3 2.2 -9999.9120.8 
EGYPTHELWAN62378 1961-1990 Mean Monthly Valuecount.4 1.0 .6 .0 .0 .0 .0 .0 .0 .2 .1 .1 -9999.912.4 
EGYPTBENI SUEF (A)62382 1961-1990 Mean Monthly Valuecount1.9 .8 .2 .0 .0 .0 .0 .0 .1 .1 1.3 2.3 -9999.916.7 
EGYPTMINYA62387 1961-1990 Mean Monthly Valuecount1.5 .1 .1 .0 .0 .0 .0 .0 .0 .0 .6 1.7 -9999.914.0 
EGYPTASYUT62393 1961-1990 Mean Monthly Valuecount.4 .1 .0 .0 .0 .0 .0 .0 .0 .1 .6 .2 -9999.911.4 
EGYPTSOHAG62397 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTLUXOR62405 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTASSWAN62414 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTSIWA62417 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTBAHARIYA62420 1961-1990 Mean Monthly Valuecount.1 .0 .0 .0 .0 .0 .0 .0 .0 .0 .2 .1 -9999.910.4 
EGYPTFARAFRA62423 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTDAKHLA62432 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTKHARGA62435 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTISMAILIA (A)62440 1961-1990 Mean Monthly Valuecount1.5 .5 .5 .2 .2 .3 .2 .7 .9 2.0 2.6 2.5 -9999.9112.1 
EGYPTEL-SUEZ62450 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .2 .0 -9999.910.2 
EGYPTRAS-SEDR62455 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTRAS ELNAKB (A)62456 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .1 -9999.910.1 
EGYPTST. KATRINE62457 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTEL TOR62459 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTRAS NSRANY62460 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTHURGUADA62462 1961-1990 Mean Monthly Valuecount.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.0 
EGYPTKOSSEIR62465 1961-1990 Mean Monthly Valuecount.0 .0 .1 .0 .0 .0 .0 .0 .0 .0 .0 .0 -9999.910.1 
FINLANDSODANKYL2836 1961-1990 Mean Monthly Valuecount3.0 2.0 2.0 1.0 2.0 2.0 3.0 7.0 6.0 5.0 4.0 3.0 40.0 40.0 

Footnotes

1 - code for missing value
2 - code for value > 0.0 but < the smallest unit at the archived precision
Source

World Meteorological Organization Standard Normals

Source:  World Meteorological Organization

WMO data provide the basis for better understanding the climatology of severe weather and extreme events such as tropical cyclones, El Niño, floods, heat waves, cold waves, droughts and other natural hazards, contributing to saving both lives and property, and improving our understanding and monitoring of the climate system and environment. WMO has drawn attention to issues of major concern, such as ozone layer depletion, global warming, climate change and diminishing water resources.

WMO enhances the application of meteorological and hydrological information for the security and well-being of society. Such information is crucial for addressing major challenges such as food security, water resources management, reduction of pollution, decision-making related to the health sector, transport, tourism among others.

WMO provides guidelines to use procedures for analysing climate data for climate change purposes as well as for other applications. This includes, inter-alia, analysis of extremes in a changing climate, the role of climatological normals in a changing climate and climate data homogenisation. Description of processes, methodologies and practices in climatology are provided within a mandatory publication representing the WMO guide to climatological practices.

WMO defines climatological standard normals as "averages of climatological data computed for the following consecutive periods of 30 years: January 1, 1901 to December 31, 1930, January 1, 1931 to December 31, 1960, etc." (WMO, 1984).The latest global standard normals period is 1961-1990. The next standard normals periode is January 1991 – December 2020.
Last update in UNdata: 2010/07/14
Next update in UNdata: To be confirmed