An objective algorithm for estimating maximum oceanic mixed layer depth using seasonality indices derived from A rgo temperature/salinity profiles-Reference-Cited by-同舟云学术

An objective algorithm for estimating maximum oceanic mixed layer depth using seasonality indices derived from A rgo temperature/salinity profiles

Published:2015-01 Issue:1 Volume:120 Page:582-595
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:J. Geophys. Res. Oceans

Author:

Chen Ge¹,Yu Fangjie¹

Affiliation:

1. Qingdao Collaborative Innovation Center of Marine Science and Technology, College of Information Science and Engineering, Ocean University of ChinaQingdao China

Funder

Natural Science Foundation of China

Global Change Research Program of China

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014JC010383

Reference42 articles.

1. Winter-to-winter recurrence of sea surface temperature, salinity and mixed layer depth anomalies

2. Pressure Sensor Drifts in Argo and Their Impacts

3. Surface mixed and mixing layer depths

4. Variability of the Oceanic Mixed Layer, 1960–2004

5. Global observations of nonlinear mesoscale eddies

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