End‐Member Mixing Analysis as a Tool for the Detection of Major Storms in Lake Sediment Records-Reference-Cited by-同舟云学术

End‐Member Mixing Analysis as a Tool for the Detection of Major Storms in Lake Sediment Records

Published:2022-11 Issue:11 Volume:37 Page:
ISSN:2572-4517
Container-title:Paleoceanography and Paleoclimatology
language:en
Short-container-title:Paleoceanog and Paleoclimatol

Author:

Patterson R. Timothy¹^ORCID,Nasser Nawaf A.¹,Reinhardt Eduard G.²,Patterson Calder W.³,Gregory Braden R. B.¹,Mazzella Veronica¹,Roe Helen M.⁴,Galloway Jennifer M.⁵

Affiliation:

1. Ottawa‐Carleton Geoscience Centre and Department of Earth Sciences Carleton University Ottawa ON Canada

2. School of Geography and Earth Sciences McMaster University Hamilton ON Canada

3. Department of Geography and Environmental Studies Carleton University Ottawa ON Canada

4. School of Natural and Built Environment Queen's University Belfast Belfast UK

5. Geological Survey of Canada (GSC)/Commission géologique du Canada Natural Resources Canada (NRCan)/Ressources naturelles Canada (RNCan) Calgary AB Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Natural Resources Canada

Carleton University

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022PA004510

Reference124 articles.

1. Climate variability during warm and cold phases of the Atlantic Multidecadal Oscillation (AMO) 1871–2008

2. Impact of Post-Tropical Storm Arthur (2014) on benthic Arcellinida assemblage dynamics in Harvey Lake, New Brunswick, Canada

3. Blaauw M. Christen J. A. Aquino Lopez M. A. Esquivel Vazquez J. Gonzalez V. O. M. Belding T. et al. (2020).rbacon: Age‐depth modelling using Bayesian Statistics. R package v. 2.5.0. Retrieved fromhttps://CRAN.R-project.org/package=rbacon

4. GRADISTAT: a grain size distribution and statistics package for the analysis of unconsolidated sediments

5. Calibrating a sedimentary record of overwash from Southeastern New England using modeled historic hurricane surges

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical approach to identify storm deposits and cryptic event layers from grain-size data, Mechelinki, Poland, Baltic Sea;CATENA;2024-07

2. Refining the history of extreme coastal events in southern Newfoundland, NW Atlantic, with lake sediment archives;Quaternary Science Reviews;2023-12