中大學術數位典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/100441
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94201/94201 (100%)
Visitors : 81594606      Online Users : 3347
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100441


    Title: The impacts of cloud snow radiative effects on Pacific Ocean surface heat fluxes, surface wind stress, and ocean temperatures in coupled GCM simulations
    Authors: 余嘉裕;Li, J.‐L. F.;Lee, W.‐L.;Lee, Tong;Fetzer, Eric;Yu, Jia‐Yuh;Kubar, Terence L.;Boening, Carmen
    Contributors: 地球科學學院大氣科學學系
    Keywords: Atmospheric circulation;Atmospheric research;Climate change;Climate models;Climatology;cloud;Clouds;coupled GCM;Fluxes;Geophysics;Global climate;Heat;Joining;Ocean currents;Ocean surface;Ocean temperature;Ocean-atmosphere interaction;Parametrization;radiation;Sea surface temperature;Snow;SSTs;Stresses;subsurface temperatures;Upper ocean;Wind;wind stress
    Date: 2015-01-01
    Issue Date: 2026-04-21 14:02:46 (UTC+8)
    Publisher: Wiley-Blackwell;Washington: American Geophysical Union (AGU)
    Abstract: 摘要: AbstractAn accurate representation of the climatology of the coupled ocean‐atmosphere system in global climate models has strong implications for the reliability of projected climate change inferred by these models. Our previous efforts have identified substantial biases of ocean surface wind stress that are fairly common in two generations of the Coupled Model Intercomparison Project (CMIP) models, relative to QuikSCAT climatology. One of the potential causes of the CMIP model biases is the missing representation of large frozen precipitating hydrometeors (i.e., cloud snow) in all CMIP3 and most CMIP5 models, which has not been investigated previously. We examine the impacts of cloud snow on the radiation and atmospheric circulation, air‐sea fluxes, and explore the implications to common biases in CMIP models using the National Center for Atmospheric Research coupled Community Earth System Model (CESM) to perform sensitivity experiments with and without cloud snow radiative effects. This study focuses on the impacts of cloud snow in CESM on ocean surface wind stress and air‐sea heat fluxes, as well as their relationship with sea surface temperature (SST) and subsurface ocean temperatures in the Pacific sector. It is found that inclusion of the cloud snow parameterization in CESM reduces the surface wind stress and upper ocean temperature (including SST) biases in the tropical and midlatitude Pacific. The differences in the upper ocean temperature with and without the cloud snow parameterization are consistent with the effect of different strength of vertical mixing due to ocean surface wind stress differences but cannot be explained by the differences in net air‐sea heat fluxes.
    出版者: Washington: American Geophysical Union (AGU)
    出版日期: 2015-03-27
    出處: Journal of Geophysical Research: Atmospheres, 2015-03, Vol.120 (6), p.2242-2260
    資源來源: Wiley Online Library All Journals
    版權: 2015. American Geophysical Union. All Rights Reserved.
    識別號: ISSN: 2169-897X
    識別號: ISSN: 2169-8996
    識別號: EISSN: 2169-8996
    識別號: DOI: 10.1002/2014jd022538
    Appears in Collections:[Department of Atmospheric Sciences] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML15View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明