On the Nature of the El Nino/La Nina Events
David H. Douglass, Drew R. Abrams, David M. Baranson, B. David Clader
Abstract
We propose a scenario that explains many of the Pacific Ocean climate phenomena that are called El Nino/ La Nina. This scenario requires an event, which we call a Super-Nino Event. It dominates other phenomena when it occurs. A template of this event has been constructed giving the time evolution, which is an alternating sequence of 'El Ninos' and 'La Ninas'. The duration of the event is about 15 years unless some other event intervenes. Three such events can explain most of the El Nino/La Nina features that have been observed since 1968. We find that the various El Nino/La Nina features that have been observed fall into types, associated with the oscillation in the template, which can be classified by a "Periodic Table". The Earth is presently experiencing one of these events which started in the mid 1990's and will continue for another 4-5 years. This extrapolation into the future suggests that a minor El Nino will begin in mid 2001 and will reach a maximum about a year later. The conditions under which such a Super Nino-Event may occur are discussed.
Create a lesson
Related papers
Variable Masking for Climate Emulation in ACE
Alexey Yermakov, Troy Arcomano, Jeremy McGibbon et al.
Forecast lead time and the timing of crew deployment for weather-driven power outages using AI weather models
Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohamad Alipour
Building and calibrating a 3Di subgrid flood model for Hanoi, without a surveyed terrain model, drainage data, or rain gauges
Minh Hoa Nguyen, Mai Anh Tran
Improved Precipitation Variability in the Community Atmosphere Model through Implementation of a Neural-Network Deep Convection Scheme
Xavier J. Levine, Griffin Mooers, Jack W. Atkinson et al.
PrecipCorrDiff: A Deep Learning Framework for Generating 0.0625 High-Resolution IMD Gridded Precipitation Data
Bipin Kumar, Rajib Chattopadhyay, Harsh P. Bachhav et al.
Generative modelling for multivariate spatio-temporal downscaling of monthly climate fields
Yu Huang, Shangshang Yang, Sebastian Bathiany et al.