Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python-Reference-Cited by-同舟云学术

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Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python

Published:2022-10 Issue:10 Volume:37 Page:
ISSN:2572-4517
Container-title:Paleoceanography and Paleoclimatology
language:en
Short-container-title:Paleoceanog and Paleoclimatol

Author:

Khider Deborah¹^ORCID,Emile‐Geay Julien²^ORCID,Zhu Feng³,James Alexander²,Landers Jordan²,Ratnakar Varun¹,Gil Yolanda¹^ORCID

Affiliation:

1. University of Southern California Information Sciences Institute Marina Del Rey CA USA

2. Department of Earth Sciences University of Southern California Los Angeles CA USA

3. School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing China

Funder

Integrative and Collaborative Education and Research

Division of Atmospheric and Geospace Sciences

Office of Naval Research

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022PA004509

Reference91 articles.

1. A probabilistic Pliocene–Pleistocene stack of benthic δ18O using a profile hidden Markov model

2. Monte Carlo SSA: Detecting irregular oscillations in the Presence of Colored Noise

3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

4. PRYSM: An open-source framework for PRoxY System Modeling, with applications to oxygen-isotope systems

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