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Showing posts with label IOD. Show all posts
Showing posts with label IOD. Show all posts

Friday, June 13, 2014

Development of El Niño in 2014



The El Niño Southern Oscillation (ENSO) is one of the important cycles affecting global weather, particularly around the Pacific region, but also having indirect impacts on a global level. Changes to winds and precipitation causing floods and droughts depending upon the region. El Niño also results in increasing global average temperatures, on top of the long term trend associated with climate change.

Cost estimates in US$ for 1982-1983 El Niño
Extreme Event / Country Cost in $millions
Flooding  
Bolivia $300
Ecuador, Northern Peru $650
Cuba $170
U.S. Gulf States $1,270
Hurricanes  
Tahiti $50
Hawaii $230
Droughts/Fires  
Southern Africa $1,000
Southern India, Sri Lanka $150
Philippines $450
Indonesia $500
Australia $2,500
Southern Peru, Western Bolivia $240
Mexica, Central America $600
Total Costs $8,110 million
Source: NASA via University of California San Diego
The El Niño cycle is usually 3 to 7 years. And occasionally we'll get an extreme response, a super El Niño. The 1982-83 and 1997-1998 produced super El Niños spiked global temperatures to record levels, causing floods, drought and increasing bushfire conditions. The back to back La Nina of 2010 and 2011 was also quite strong producing Australia's wettest two year period on record and reducing global sea level by 5mm.

he 1982-1983 event has been estimated to have caused about $8.1 billion in damages and was largely unexpected without the warning and forecasting systems we have in place today.

The last Super El Niño event in 1997-1998 resulted in about 23,000 people killed as a result of ENSO linked extreme weather events and caused about $45-50 billion in losses to global agricultural output according to a Canberra Times report.

Predicting El Niño events and issuing alerts allows communities to prepare for the worst. It is essential for farmers to know the forecast for rain or drought so that crop plantings can be varied and livestock rates altered to minimise losses.