Learn what El Nino is and how it affects nature. Discover how El Nino was named. Explore examples and understand the El Nino ~'flavors~'.
A simple explanation is proposed here for the locking of the peak of ENSO's basin-scale warming to the end of the calendar year. The explanation is based on incorporating a seasonally varying coupled ocean–atmosphere instability strength into the delayed oscillator mechanism for the ENSO cycle. ...
目前对厄尔尼诺成因的解释理论Current explanation of El Nino 厄尔尼诺事件的成因机制是地球自转、日月引力和地热活动的综合结果。 科学家们做了大量的分析研究,提出了内因、外因结合的理论。 El Nino分类 非常强的厄尔尼诺 在秘鲁造成强降水、洪涝和破坏。在南半球夏季和秋季的某些月份里,沿岸海表温度常常超过正常值7 ...
El Nino, a Spanish term for “the Christ child”, was named by South American fisherman who noticed that the global weather pattern, which happens every two to seven years, reduced the amount of fishes caught around Christmas. El Nino sees warm water, collected over several years in the wes...
On the relative role of east and west pacific sea surface temperature (SST) gradients in the prediction skill of Central Pacific NINO3.4 SST S. Lekshmi Rajib Chattopadhyay M. Mohapatra Ocean Dynamics (2023) Interannual relationship between South Pacific meridional sea surface temperature dipole and...
The fetch of the easterly wind anomalies over the eastern Pacific Ocean decreases as El Nino’s convective anomalies extend eastward. The more the fetch, the stronger self-limitation acts to dampen eastern-ocean variations. In observations (Fig.1b), large-scale anomalous convection rarely extends ...
Image 1 of 2 Snowfall during strong El Nino winters( ) "I spent a bunch of time this week looking at longer rangeweather modelsof thejet stream, and everything I can see from 16-30 days out is more of the same ‘El Niño’ pattern, which does not favor Montana for significant mois...
intointernal variabilityof each model run, which entail comparing a large number individual model runs. To answer your question, a far more plausible explanation isinternal variability(e.g.PDO). 2) Regarding your second point, (i) What scaling and time shifting have you applied to the NINO3.4...
s irradiance solely look at maxima and minima of the sunspot cycle. It is easy to see that these extrema show no consistent and sufficiently strong correlation with the El Nino phenomenon. However, recent research has shown that the solar wind, driven by solar eruptions (flares and coronal ...
In Fig.5, both neural networks underestimate large changes in Nino3.4 after 12 months. The uncertainties of the climate parameters and the neural networks are a possible explanation on the difficulty of the longer lead-time prediction. The uncertainties increase in the variance of the prediction33...