气象学报
氣象學報
기상학보
ACTA METEOROLOGICA SINICA
2009年
6期
961-972
,共12页
王秀成%刘骥平%俞永强%刘海龙%李立娟
王秀成%劉驥平%俞永彊%劉海龍%李立娟
왕수성%류기평%유영강%류해룡%리립연
气候系统模式%海冰%大气%海洋%模式评估
氣候繫統模式%海冰%大氣%海洋%模式評估
기후계통모식%해빙%대기%해양%모식평고
Climate system model%Sea ice%Atmosphere%Ocean%Model evaluation
对中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室发展的气候系统模式FGOALS_g1.1的极地气候模拟现状进行了较为全面的评估.结果表明,FGOALS_g1.1对南北极海冰的主要分布特征、季节变化和年代际变化趋势具有一定的模拟能力.但也注意到,与观测相比,模式存在以下几方面的问题:(1)模拟的海冰总面积北极偏多,而南极偏少.北极,北大西洋海冰全年明显偏多;夏季,西伯利亚沿海海冰偏多,而波弗特海海冰偏少.南极,威德尔海和罗斯海冬季海冰偏少.南北极海冰边缘都存在异常的较大范围密集度很小的碎冰区,夏季尤为显著.(2)海冰流速在南北极海冰边缘和南极大陆沿岸附近较大.北极,模式没能模拟出波弗特涡流,并且由于模式网格中北极点的处理问题,造成其附近错误的海冰流场及厚度分布.这些海冰偏差与模式模拟的大气和海洋状况有着密切的联系.进一步分析表明,FGOALS_g1.1模拟的冰岛低压和南极绕极西风带明显偏弱,其通过大气环流和海表面风应力影响向极地的热量输送,在很大程度上导致上述的海冰偏差.此外,耦合模式中大气-海冰-海洋的相互作用可以放大子模式中的偏差.
對中國科學院大氣物理研究所大氣科學和地毬流體力學數值模擬國傢重點實驗室髮展的氣候繫統模式FGOALS_g1.1的極地氣候模擬現狀進行瞭較為全麵的評估.結果錶明,FGOALS_g1.1對南北極海冰的主要分佈特徵、季節變化和年代際變化趨勢具有一定的模擬能力.但也註意到,與觀測相比,模式存在以下幾方麵的問題:(1)模擬的海冰總麵積北極偏多,而南極偏少.北極,北大西洋海冰全年明顯偏多;夏季,西伯利亞沿海海冰偏多,而波弗特海海冰偏少.南極,威德爾海和囉斯海鼕季海冰偏少.南北極海冰邊緣都存在異常的較大範圍密集度很小的碎冰區,夏季尤為顯著.(2)海冰流速在南北極海冰邊緣和南極大陸沿岸附近較大.北極,模式沒能模擬齣波弗特渦流,併且由于模式網格中北極點的處理問題,造成其附近錯誤的海冰流場及厚度分佈.這些海冰偏差與模式模擬的大氣和海洋狀況有著密切的聯繫.進一步分析錶明,FGOALS_g1.1模擬的冰島低壓和南極繞極西風帶明顯偏弱,其通過大氣環流和海錶麵風應力影響嚮極地的熱量輸送,在很大程度上導緻上述的海冰偏差.此外,耦閤模式中大氣-海冰-海洋的相互作用可以放大子模式中的偏差.
대중국과학원대기물리연구소대기과학화지구류체역학수치모의국가중점실험실발전적기후계통모식FGOALS_g1.1적겁지기후모의현상진행료교위전면적평고.결과표명,FGOALS_g1.1대남북겁해빙적주요분포특정、계절변화화년대제변화추세구유일정적모의능력.단야주의도,여관측상비,모식존재이하궤방면적문제:(1)모의적해빙총면적북겁편다,이남겁편소.북겁,북대서양해빙전년명현편다;하계,서백리아연해해빙편다,이파불특해해빙편소.남겁,위덕이해화라사해동계해빙편소.남북겁해빙변연도존재이상적교대범위밀집도흔소적쇄빙구,하계우위현저.(2)해빙류속재남북겁해빙변연화남겁대륙연안부근교대.북겁,모식몰능모의출파불특와류,병차유우모식망격중북겁점적처리문제,조성기부근착오적해빙류장급후도분포.저사해빙편차여모식모의적대기화해양상황유착밀절적련계.진일보분석표명,FGOALS_g1.1모의적빙도저압화남겁요겁서풍대명현편약,기통과대기배류화해표면풍응력영향향겁지적열량수송,재흔대정도상도치상술적해빙편차.차외,우합모식중대기-해빙-해양적상호작용가이방대자모식중적편차.
The polar climate simulations (with emphasis on sea ice) in the latest version of LASG climate system model (FGOALS_ g1.1) were evaluated using a variety of observational data. The results show that FGOALS_g1.1 does a reasonable job in simulating primary characteristics of the Arctic and Antarctic sea ice, including spatial distribution, seasonal variation, and decadal trend. However, some discrepancies are noteworthy. (1) FGOALS_g1.1 produces more (less) total sea ice area in the Arctic (Antarctic) as compared to the observations. In the Arctic, there is excessive (insufficient) ice cover in north Atlantic all year long, and in east Siberia Sea (Beaufort Sea) in summer. In the Antarctic, there is insufficient ice cover in the Weddell and Ross Seas in winter. Extremely large area with small ice concentration is found far beyond the sea ice edge zone in both the Arctic and Antarctic, particularly in summer. (2) The simulated sea ice velocity is systematically too large as compared to the observations, mainly near the sea ice edge in both the Arctic and Antarctic as well as near Antarctic coastal regions. In the Arctic, the model can not capture the Beaufort Gyre, and produce unrealistic ice motion and thickness distribution around the North Pole due to the impropriate way to handle the North Pole. Biases in sea ice simulations identified here are closely associated with how well the simulations are in atmosphere and ocean components of FGOALS_g1.1. Further analyses show that weak Icelandic Low and Antarctic Circumpolar Westerly simulated in FGOALS_g1.1 partly contribute to the aforementioned biases in sea ice simulations through influencing atmospheric and oceanic poleward heat transport. Additionally, the amplification of biases in the subcomponent of FGOALS_g1.1 due to atmosphere-sea ice-ocean interaction is briefly discussed.