Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse

Abstract in HTML and technical report in PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/).

Bibliographic Details
Main Authors: Webster, Mort David., Scott, Jeffery., Sokolov, Andrei P., Stone, Peter H.
Format: Technical Report
Language:en_US
Published: MIT Joint Program on the Science and Policy of Global Change 2006
Online Access:http://mit.edu/globalchange/www/abstracts.html#a133
http://hdl.handle.net/1721.1/32540
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author Webster, Mort David.
Scott, Jeffery.
Sokolov, Andrei P.
Stone, Peter H.
author_facet Webster, Mort David.
Scott, Jeffery.
Sokolov, Andrei P.
Stone, Peter H.
author_sort Webster, Mort David.
collection MIT
description Abstract in HTML and technical report in PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/).
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/325402019-04-12T08:06:32Z Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse Webster, Mort David. Scott, Jeffery. Sokolov, Andrei P. Stone, Peter H. Abstract in HTML and technical report in PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/). Studying the uncertainty in computationally expensive models has required the development of specialized methods, including alternative sampling techniques and response surface approaches. However, existing techniques for response surface development break down when the model being studied exhibits discontinuities or bifurcations. One uncertain variable that exhibits this behavior is the thermohaline circulation (THC) as modeled in three-dimensional general circulation models. This is a critical uncertainty for climate change policy studies. We investigate the development of a response surface for studying uncertainty in THC using the Deterministic Equivalent Modeling Method, a stochastic technique using expansions in orthogonal polynomials. We show that this approach is unable to reasonably approximate the model response. We demonstrate an alternative representation that accurately simulates the model’s response, using a basis function with properties similar to the model’s response over the uncertain parameter space. This indicates useful directions for future methodological improvements. This research was supported in part by the Methods and Models for Integrated Assessments Program of the National Science Foundation, Grant ATM-9909139, by the Office of Science (BER), U.S. Department of Energy, Grant Nos. DE-FG02-02ER63468 and DE-FG02-93ER61677, and by the MIT Joint Program on the Science and Policy of Global Change (JPSPGC). 2006-04-28T19:02:04Z 2006-04-28T19:02:04Z 2006-03 Technical Report http://mit.edu/globalchange/www/abstracts.html#a133 http://hdl.handle.net/1721.1/32540 Report no. 133 en_US Report no. 133 452835 bytes application/pdf application/pdf MIT Joint Program on the Science and Policy of Global Change
spellingShingle Webster, Mort David.
Scott, Jeffery.
Sokolov, Andrei P.
Stone, Peter H.
Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title_full Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title_fullStr Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title_full_unstemmed Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title_short Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse
title_sort estimating probability distributions from complex models with bifurcations the case of ocean circulation collapse
url http://mit.edu/globalchange/www/abstracts.html#a133
http://hdl.handle.net/1721.1/32540
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AT sokolovandreip estimatingprobabilitydistributionsfromcomplexmodelswithbifurcationsthecaseofoceancirculationcollapse
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