Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics-Reference-Cited by-同舟云学术

Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics

Published:2021-03 Issue:1 Volume:56 Page:18-45
ISSN:1738-5261
Container-title:Ocean Science Journal
language:en
Short-container-title:Ocean Sci. J.

Author:

Pak Gyundo,Noh Yign,Lee Myong-In,Yeh Sang-Wook,Kim Daehyun,Kim Sang-Yeob,Lee Joon-Lee,Lee Ho Jin,Hyun Seung-Hwon,Lee Kwang-Yeon,Lee Jae-Hak,Park Young-Gyu,Jin Hyunkeun,Park Hyukmin,Kim Young Ho

Publisher

Springer Science and Business Media LLC

Subject

Oceanography

Link

https://link.springer.com/content/pdf/10.1007/s12601-021-00001-7.pdf

Reference92 articles.

1. Adames ÁF, Kim D (2016) The MJO as a dispersive, convectively coupled moisture wave: theory and observations. J Atmos Sci 73:913–941. https://doi.org/10.1175/JAS-D-15-0170.1

2. Adames ÁF, Kim D, Sobel AH, Del Genio A, Wu J (2017) Changes in the structure and propagation of the MJO with increasing CO2. J Adv Model 9:1251–1268. https://doi.org/10.1002/2017MS000913

3. Adames ÁF, Kim D, Sobel AH, Del Genio A, Wu J (2017) Characterization of moist processes associated with changes in the propagation of the MJO with increasing CO2. J Adv Model Earth Sy 9:2946–2967. https://doi.org/10.1002/2017MS001040

4. Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P-P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P, Nelkin E (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–Present). J Hydrometeorol 4:1147–1167. https://doi.org/10.1175/1525-7541(2003)004%3c1147:TVGPCP%3e2.0.CO;2

5. Ahn M-S, Kim D, Sperber KR, Kang I-S, Maloney E, Waliser D, Hendon H, on behalf of WGNE MJO Task Force, (2017) MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis. Clim Dynam 49:4023–4045. https://doi.org/10.1007/s00382-017-3558-4

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