Abstract

The authors investigate biases in the freshwater flux (FWF) of CORE.v2—a common data-set for stand-alone ocean models—based on the results of a set of experiments using an OGCM. The authors identify freshening biases in the FWF in the subtropical regions of the North Pacific, South Pacific, and South Atlantic, which may be caused by the weak surface wind, high specific humidity, or high precipitation in the CORE.v2 data. The authors also find biases in sea surface salinity that are caused by ocean dynamics, such as in the North Atlantic, and that cannot be corrected by correcting surface forcing.

Details

Title
Freshening biases in the freshwater flux of CORE data
Author
Jiang-Bo, JIN 1 ; ZENG, Qing-Cun 2 ; Hai-Long, LIU 3 ; WU, Lin 4 

 International Center for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China; College of Earth Science, University of Chinese Academy of Sciences, Beijing, China 
 International Center for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, China 
 State Key Laboratory of Numerical Modeling for Atmospheric Science and Geophysical Fluid Dynamics (LASG), IAP, CAS, Beijing, China 
 State Key Laboratory of Atmospheric Boundary Layer physics and Atmospheric chemistry (LAPC), IAP, CAS, Beijing, China 
End page
365
Publication year
2016
Publication date
Sep 2016
Publisher
KeAi Publishing Communications Ltd
ISSN
16742834
e-ISSN
23766123
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2215242625
Copyright
© 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.