Niño and climate prediction
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Niño and climate prediction by Wallace, John M.

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Published by [University Corporation for Atmospheric Research, Office for Interdisciplinary Earth Studies] in [Boulder, Colo.] .
Written in English

Subjects:

  • El Ni~no Current.,
  • Southern oscillation.,
  • Ocean-atmosphere interaction.,
  • Climatic changes -- Forecasting.

Book details:

Edition Notes

Title from cover.

Statement[writers, John M. Wallace, Shawna Vogel] ; [contributors, Richard Barber ... et al.].
SeriesReports to the nation : on our changing planet -- Spring 1994, no.3, Reports to the nation -- Spring 1994, no.3.
ContributionsVogel, Shawna., United States. National Oceanic and Atmospheric Administration. Office of Global Programs.
The Physical Object
Pagination24p. :
Number of Pages24
ID Numbers
Open LibraryOL18658511M

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Why Predict Climate? The march of the seasons imparts a rhythm to life on Earth. Over much of the world, climate swings like a pendulum between summer and winter. Even in the tropics, where the weather is warm year round, rainy seasons, known as monsoons, alternate with dry seasons and each has its own distinct pattern of prevailing winds.   Current U.S. Climate Outlook SST Forecasts Coupled Model Status & Prediction Presentation PowerPoint PDF The El Niño/La Niña Global El Niño Impacts: NOAA/ National Weather Service National Centers for Environmental Prediction Climate Prediction Center Auth Road Camp Springs, Maryland Climate Prediction Center Web .   The Niño index is computed as the monthly SST anomaly averaged over the region 5°N-5°S, °W°W. The SOI is normalized by its standard deviation. Values between ±° on either graph are considered ENSO-neutral. Periods in red represent El Niño conditions and in blue La Niña conditions.   Dear stakeholders, NWS is working on improving approaches for communication of the NWS climate products. Under this project Climate Prediction Center (CPC) is currently gathering feedback on potential changes to the headlines used in their El Niño-Southern Oscillation (ENSO) Alert System using this online complete this survey and .

NWS is working on improving approaches for communication of the NWS climate products. Under this project Climate Prediction Center (CPC) is currently gathering feedback on potential changes to the headlines used in their El Niño-Southern Oscillation (ENSO) Alert System using this online survey. Please complete this survey and send it to your partners — we need as large a sample of NWS . El Niño and La Niña are the warm and cool phases of a recurring climate pattern across the tropical Pacific—the El Niño-Southern Oscillation, or “ENSO” for short. The pattern can shift back and forth irregularly every two to seven years, and each phase triggers predictable disruptions of temperature, precipitation, and winds. Nino Index (ONI) [3 month running mean of ERSST.v5 SST anomalies in the Nino region (5N-5S, W)]. For historical purposes, periods of below and above normal SSTs are colored in blue and red when the threshold is met for a minimum of 5 .   The Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) data are used to verify the climate model’s performance for the period – The data are produced by merging rain gauge data, five kinds of satellite estimates, and a numerical model predictions(Xie and Arkin ).Cited by:

The IRI’s definition of El Niño, like NOAA/Climate Prediction Center’s, requires that the SST anomaly in the NINO region (5S-5N; WW) exceed C. Similarly, for La Niña, the anomaly must be C or less. The climatological probabilities for La Niña, neutral, and El Niño conditions vary seasonally, and are shown in a table.   Corresponding author address: Dr. Lisa Goddard, International Research Institute for Climate Prediction, The Earth Institute of Columbia University, 61 Route 9W, Monell Bldg., Palisades, NY Email: [email protected] by:   Climate Watch Magazine article on the change to the ONI Due to a significant warming trend in the Niño region since , El Niño and La Niña episodes that are defined by a single fixed year base period (e.g. ) are increasingly incorporating longer-term trends that do not reflect interannual ENSO variability. making routine climate predictions readily available to those who have need of them for planning purposes, much as weather forecasts are made available to the public today. The ability to anticipate how climate will change from one year to the next will lead to better management of agriculture, water supplies, fisheries, and other resources.