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Title: Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions

Authors:
 [1];  [2]
  1. CIRES, University of Colorado, Boulder, Colorado 80309, USA, NOAA/Earth System Research Laboratory, Boulder, Colorado 80305, USA
  2. NOAA/Earth System Research Laboratory, Boulder, Colorado 80305, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1228235
Grant/Contract Number:  
SC0006965
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Chaos: An Interdisciplinary Journal of Nonlinear Science
Additional Journal Information:
Journal Name: Chaos: An Interdisciplinary Journal of Nonlinear Science Journal Volume: 25 Journal Issue: 3; Journal ID: ISSN 1054-1500
Publisher:
American Institute of Physics
Country of Publication:
United States
Language:
English

Citation Formats

Sardeshmukh, Prashant D., and Penland, Cécile. Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions. United States: N. p., 2015. Web. doi:10.1063/1.4914169.
Sardeshmukh, Prashant D., & Penland, Cécile. Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions. United States. https://doi.org/10.1063/1.4914169
Sardeshmukh, Prashant D., and Penland, Cécile. Tue . "Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions". United States. https://doi.org/10.1063/1.4914169.
@article{osti_1228235,
title = {Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions},
author = {Sardeshmukh, Prashant D. and Penland, Cécile},
abstractNote = {},
doi = {10.1063/1.4914169},
journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
number = 3,
volume = 25,
place = {United States},
year = {Tue Mar 10 00:00:00 EDT 2015},
month = {Tue Mar 10 00:00:00 EDT 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1063/1.4914169

Citation Metrics:
Cited by: 27 works
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