Predicting climate types for the Continental United States using unsupervised clustering techniques

Sathiaraj, D.; Huang, X.; Chen, J.

doi:10.1002/env.2524

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Predicting climate types for the Continental United States using unsupervised clustering techniques

2018
By Sathiaraj, D. ; Huang, X. ; Chen, J.
Source: Environmetrics, 30(4), e2524

[PDF-1.05 MB]

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Details:

Journal Title:

Environmetrics
Personal Author:

Sathiaraj, D. ; Huang, X. ; Chen, J.

Sathiaraj, D. ; Huang, X. ; Chen, J. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) Less -
Keywords:

[+]

Ecological Modeling Statistics And Probability
Source:

Environmetrics, 30(4), e2524
DOI:

https://doi.org/10.1002/env.2524
ISSN:

1180-4009;1099-095X;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
Funding:

Grant no. NA13OAR4310183
Rights Information:

Accepted Manuscript
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Main Document Checksum:

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urn:sha256:72c8129595f8b2cca907a2e89a224dbb814faca7e63bcc68e4a6a12fe07e3c1b
Download URL:

https://repository.library.noaa.gov/view/noaa/54574/noaa_54574_DS1.pdf
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Predicting climate types for the Continental United States using unsupervised clustering techniques

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