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Klimaat
El Niño
The impact of this situation extends to areas far from the Pacific itself.
Globally, El Niño La Ni˜a are the main source of interannual
variability of climatte,
see Fig. 1 and Fig. 2.
Fig. 1
Climate anomalies that are often observed during El Niño.
(Source: National Center for Environmental Predicitions(NCEP)/Climate
Prediction Center(CPC), Washington DC)
Fig. 2
Climate anomalies that are often observed during La Niña.
(Source: NCEP/CPC)
Last update: November 9, 2006 Now (November 2006), a small El Niño3 has started.
In October 2006, the value of the Niño3 index was
+1.1, against +0.9 in September.
The SOI was -1.7 against -0.7 in September.
Fig. 3 shows for last October
a map of sea surfce temperature (SST) anomalies.
Usually, the Niño3 index is high and the SOI low during an El Niño, while generally during a La Niña the Niño3 index is low and the SOI high. The last very strong El Niño was that of 1997/98. The previous very strong El Niño event occurred 15 years earlier, in 1982/83. Fig. 4 shows the evolution of the Niño index and the SOI over last twenty years.
Fig. 3
Sea surface temperature anomalies with respect to
the climatological monthly mean,
in Kelvin. (Source: NCEP/CPC)
Fig. 4
Evolution of the Niño index and
the SOI over last twenty years. (Source: NCEP/CPC)
Since November 2006, this information is no longer kept up-to-date Last update: October 17, 2006 Over the next few months, an El Niño will develop which probably will have a weak to moderate strength. See also links listed on the right under "El Niño forecasts" and "Seasonal forecasts". El Niño forecasts are reasonable reliable up to some three or six months ahead. For longer periods, forecasts usually diverge and the quality of the forecasts detoriates. Moreover, there is a kind of predictability barrier around April: making forecasts in December for the following June is much harder than it making forecasts in June for the following December. In Fig. 5 and Fig. 6 examples are given of forecasts for El Niño indices.
Fig. 5
Niño3 index forecast from ECMWF
(European Centre for Medium-Range Weather Forecasts).
The forecast is made by a general circulation model of the
world ocean and atmosphere.
(Source: ECMWF, Reading, UK)
Fig. 6
Niño3.4 forecasts from NCEP/CPC
(the Niñ3.4 index is closely related to the Niño3 index).
CA (Constructed Analogue),
CCA (Canonical Correlation Analyis) and MKV (Markov) use
statistical methods. CFS (Coupled Forecast System) uses a
general circulation model of the world ocean and atmosphere.
CON is a weighted combination of the various
forecasts.
(Source: NCEP/CPC)
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