Role of sea surface salinity feedback in MJO predictability: a study 3 with CFSv2

Zhu, Jieshun; Kumar, Arun

doi:10.1175/JCLI-D-18-0755.1

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Role of sea surface salinity feedback in MJO predictability: a study 3 with CFSv2

2019
By Zhu, Jieshun ; Kumar, Arun
Source: Journal of Climate, 32(18), 5745–5759

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Details:

Journal Title:

Journal of Climate
Personal Author:

Zhu, Jieshun ; Kumar, Arun

Zhu, Jieshun ; Kumar, Arun Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; CICSM (Cooperative Institute for Climate and Satellites Maryland) ; NWS (National Weather Service) ; ... More +

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; CICSM (Cooperative Institute for Climate and Satellites Maryland) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; CPC (Climate Prediction Center) Less -
Description:

While previous studies suggested that salinity could feed back onto MJO variability via modulating upper ocean stratification and further on SST, there is no direct evidence yet proving (or disproving) the importance of this feedback in MJO evolution and its predictability. This study is an initial attempt to quantify the role of SSS feedback on MJO predictability, based on a “perfect model” framework with the CFSv2. Specifically, the SSS feedback is isolated by nudging model SSS to climatological states during forecasts.
Keywords:

[+]

Air-sea Interaction Climate Prediction Coupled Models Intraseasonal Variability Madden-Julian Oscillation Modeling, Analysis, Predictions, And Projections (MAPP) Program Salinity
Source:

Journal of Climate, 32(18), 5745–5759
DOI:

https://doi.org/10.1175/JCLI-D-18-0755.1
Document Type:

Journal Article
Funding:

Grant no. NA14NES4320003
Rights Information:

Other
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Submitted
Main Document Checksum:

[+]

urn:sha256:b704e481eaca18c1ec63033864235b1b75ccb62a1f64328a9b374b1b3c1566b9
Download URL:

https://repository.library.noaa.gov/view/noaa/36814/noaa_36814_DS1.pdf
File Type:

[PDF-3.79 MB]