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Beyond the Means: Validating Climate Models with Higher-Order Statistics
September/October 2004 (vol. 6 no. 5)
pp. 22-29
ASCII Text
x 
 
David W. Pierce, "Beyond the Means: Validating Climate Models with Higher-Order Statistics," Computing in Science and Engineering, vol. 6, no. 5, pp. 22-29, September/October, 2004.
 
 
BibTex
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@article{ 10.1109/MCSE.2004.32,
author = {David W. Pierce},
title = {Beyond the Means: Validating Climate Models with Higher-Order Statistics},
journal ={Computing in Science and Engineering},
volume = {6},
number = {5},
issn = {1521-9615},
year = {2004},
pages = {22-29},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2004.32},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computing in Science and Engineering
TI - Beyond the Means: Validating Climate Models with Higher-Order Statistics
IS - 5
SN - 1521-9615
SP22
EP29
EPD - 22-29
A1 - David W. Pierce,
PY - 2004
KW - Earth and atmospheric sciences
KW - model validation and analysis
KW - mathematics and statistics
VL - 6
JA - Computing in Science and Engineering
ER -
 
David W. Pierce, Scripps Institution of Oceanography
Large-scale climate models are validated by comparing those models' means and variabilities to actual observation. New applications place more demands on such models, which we can address by examining the models' distributions of daily quantities such as temperature and precipitation.
Index Terms:
Earth and atmospheric sciences, model validation and analysis, mathematics and statistics
Citation:
David W. Pierce, "Beyond the Means: Validating Climate Models with Higher-Order Statistics," Computing in Science and Engineering, vol. 6, no. 5, pp. 22-29, Sep./Oct. 2004, doi:10.1109/MCSE.2004.32
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