Climate Model Simulation Crashes

Donated on 6/17/2013

Given Latin hypercube samples of 18 climate model input parameter values, predict climate model simulation crashes and determine the parameter value combinations that cause the failures.

Dataset Characteristics

Multivariate

Subject Area

Climate and Environment

Associated Tasks

Classification

Feature Type

Real

# Instances

540

# Features

-

Dataset Information

Additional Information

This dataset contains records of simulation crashes encountered during climate model uncertainty quantification (UQ) ensembles. Ensemble members were constructed using a Latin hypercube method in LLNL's UQ Pipeline software system to sample the uncertainties of 18 model parameters within the Parallel Ocean Program (POP2) component of the Community Climate System Model (CCSM4). Three separate Latin hypercube ensembles were conducted, each containing 180 ensemble members. 46 out of the 540 simulations failed for numerical reasons at combinations of parameter values. The goal is to use classification to predict simulation outcomes (fail or succeed) from input parameter values, and to use sensitivity analysis and feature selection to determine the causes of simulation crashes. Further details about the data and methods are given in the publication 'Failure Analysis of Parameter-Induced Simulation Crashes in Climate Models,' Geoscientific Model Development (doi:10.5194/gmdd-6-585-2013).

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 18

Additional Variable Information

The goal is to predict climate model simulation outcomes (column 21, fail or succeed) given scaled values of climate model input parameters (columns 3-20). Column 1: Latin hypercube study ID (study 1 to study 3) Column 2: simulation ID (run 1 to run 180) Columns 3-20: values of 18 climate model parameters scaled in the interval [0, 1] Column 21: simulation outcome (0 = failure, 1 = success)

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Creators

D. Lucas

R. Klein

J. Tannahill

D. Ivanova

S. Brandon

D. Domyancic

Y. Zhang

D. D.

D. D.

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