全球降水對(duì)人們生產(chǎn)生活和經(jīng)濟(jì)發(fā)展都至關(guān)重要。因此,評(píng)估模式對(duì)降水的模擬能力至關(guān)重要。近期大氣物理研究所發(fā)布了兩套CMIP6試驗(yàn)數(shù)據(jù),結(jié)合GPCC降水資料,本文評(píng)估了兩組試驗(yàn)對(duì)1900-2014年全球陸地降水以及各半球夏季降水模擬性能。結(jié)果表明,無(wú)論是年際尺度還是長(zhǎng)期趨勢(shì)的模擬,GMMIP試驗(yàn)均表現(xiàn)出更好的模擬性能�？紤]到兩組試驗(yàn)設(shè)計(jì)的角度和海溫對(duì)年際降水的重要影響,本文探討了全球海溫異常尤其是ENSO事件對(duì)全球降水和各半球夏季降水的重要性。結(jié)果表明,赤道太平洋地區(qū)海溫對(duì)降水模擬影響顯著,其影響主要集中在中低緯地區(qū)。這對(duì)降水模擬的改進(jìn)有很大幫助。 

【文章來(lái)源】：Atmospheric and Oceanic Science Letters. 2020,13(06)CSCD

【文章頁(yè)數(shù)】：9 頁(yè)

【文章目錄】：
1. Introduction
2. Data and method
    2.1 Datasets
    2.2 Method
3. Results
    3.1 Fidelity of long-term climate variability of land precipitation simulation in FGOALS-f3-L
    3.2 Attribution of SSTA bias in the precipitation simulation
4. Summary and discussion
Disclosure statement
ORCID


【參考文獻(xiàn)】：
期刊論文
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[2]CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation[J]. Bian HE,Qing BAO,Xiaocong WANG,Linjiong ZHOU,Xiaofei WU,Yimin LIU,Guoxiong WU,Kangjun CHEN,Sicheng HE,Wenting HU,Jiandong LI,Jinxiao LI,Guokui NIAN,Lei WANG,Jing YANG,Minghua ZHANG,Xiaoqi ZHANG.  Advances in Atmospheric Sciences. 2019(08)
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