scholarly journals Climate prediction: The limits of ocean models

2004 ◽  
pp. 259-267 ◽  
Author(s):  
Peter H. Stone
Keyword(s):  
Climate Prediction ◽  
Ocean Models

Boundary Conditions, Data Assimilation, and Predictability in Coastal Ocean Models

2005 ◽  
Author(s):  
Roger M. Samelson ◽  
John S. Allen ◽  
Gary D. Egbert ◽  
John C. Kindle ◽  
Chris Snyder
Keyword(s):  
Data Assimilation ◽  
Boundary Conditions ◽  
Coastal Ocean ◽  
Ocean Models

A Unified Air-Sea Interface for Fully Coupled Atmosphere-Wave-Ocean Models for Improving Intensity Prediction of Tropical Cyclones

2011 ◽  
Author(s):  
Shuyi S. Chen ◽  
Mark A. Donelan ◽  
Ashwanth Srinivasan ◽  
Rick Allard ◽  
Tim Campbell ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Intensity Prediction ◽  
Ocean Models ◽  
Fully Coupled

Laboratory Benchmarks for the Development of Numerical Ocean Models

2002 ◽  
Author(s):  
Don L. Boyer ◽  
Harindra J. Fernando ◽  
Andjelka N. Srdic ◽  
Dale B. Haidvogel
Keyword(s):  
Ocean Models

Empirical Methods in Short-Term Climate Prediction

2006 ◽  
Author(s):  
Huug van den Dool
Keyword(s):  
Climate Prediction ◽  
Empirical Orthogonal Functions ◽  
Data Sets ◽  
Seasonal Forecasts ◽  
Short Term ◽  
Orthogonal Functions ◽  
Ocean Atmosphere Interaction ◽  
Global Coverage ◽  
Atmosphere Interaction ◽  
Global Data

This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year. Although a difficult range to forecast accurately, there have been several important advances in the last ten years, most notably in understanding ocean-atmosphere interaction (El Nino for example), the release of global coverage data sets, and in prediction methods themselves. With an emphasis on the empirical approach, the text covers in detail empirical wave propagation, teleconnections, empirical orthogonal functions, and constructed analogue. It also provides a detailed description of nearly all methods used operationally in long-lead seasonal forecasts, with new examples and illustrations. The challenges of making a real time forecast are discussed, including protocol, format, and perceptions about users. Based where possible on global data sets, illustrations are not limited to the Northern Hemisphere, but include several examples from the Southern Hemisphere.

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