@article{tollefsonNinoTestsForecasters2014,
  title = {El {{Ni\~no}} Tests Forecasters},
  author = {Tollefson, Jeff},
  year = {2014},
  month = apr,
  volume = {508},
  pages = {20--21},
  issn = {0028-0836},
  doi = {10.1038/508020a},
  abstract = {[Excerpt] As hints emerge of a major weather event this year, poor data could thwart attempts to improve predictions.

The first sign of a brewing El Ni\~no weather pattern came in January, as trade winds that normally blow from the east reversed course near Papua New Guinea. Barrelling back across the tropical Pacific Ocean, they began to push warm water towards South America. Now climate scientists and forecasters are on high alert.

A major El Ni\~no event -- a periodic warming of waters in the eastern equatorial Pacific -- could boost temperatures and scramble weather worldwide. The most recent major event, in 1997-98, was linked to thousands of deaths and tens of billions of dollars in damage from droughts, fires and floods across several continents. Yet more than 15 years later, forecasting the timing and intensity of El Ni\~no remains tricky, with incremental improvements in climate models threatened by the partial collapse of an ocean-monitoring system that delivers the data to feed those models. [...]},
  journal = {Nature},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13125039,climate,data,environmental-modelling,forecast,modelling,modelling-uncertainty,non-linearity,science-policy-interface,temperature,uncertainty},
  lccn = {INRMM-MiD:c-13125039},
  number = {7494}
}

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