第四纪研究
第四紀研究
제사기연구
2009年
6期
1104-1114
,共11页
提汝媛%顾亚进%刘健%况雪源%王红丽
提汝媛%顧亞進%劉健%況雪源%王紅麗
제여원%고아진%류건%황설원%왕홍려
夏季降水%时空变化%模拟%中国东部%千年
夏季降水%時空變化%模擬%中國東部%韆年
하계강수%시공변화%모의%중국동부%천년
summer precipitation%spatial and temporal variation%simulation%East China%millennium
利用ECHO-G海气耦合气候模式模拟的中国东部过去近1000年的降水资料,通过经验正交函数分解方法得到了中国东部夏季降水分布的主要空间型态:华北和华南地区与长江中下游地区反位相,即华北和华南地区降水多(少)时长江中下游地区降水少(多).对31年滑动平均后3种空间分布型的时间系数进行Morlet小波分析和功率谱分析发现,3个地区均存在准60年的年代际振荡周期,长江中下游和华南地区均存在准200年的百年际振荡周期,华南地区还存在120年和80年的变化周期.全球海温场与3个地区夏季降水31年滑动平均后的相关分析表明,在40°~70°S,170°~60°W海域海温与华北和长江中下游地区夏季降水负相关,与华南地区夏季降水正相关除该区外的南北半球(30°~60°)中高纬海域海温与华北和长江中下游地区夏季降水正相关、与华南地区夏季降水负相关,说明在年代际和百年际时间尺度上,中高纬海域海温是影响长江中下游地区和华南地区夏季降水反相的主要因子之一.最后通过对太阳常数、火山活动等外强迫因子与中国东部夏季降水的功率谱分析发现:中国东部夏季降水的年代际与百年际变化周期大都与外强迫因子的变化周期一致,说明外强迫因子,尤其是太阳常数和火山活动的变化是影响中国东部夏季降水年代际和百年际振荡的主要原因.
利用ECHO-G海氣耦閤氣候模式模擬的中國東部過去近1000年的降水資料,通過經驗正交函數分解方法得到瞭中國東部夏季降水分佈的主要空間型態:華北和華南地區與長江中下遊地區反位相,即華北和華南地區降水多(少)時長江中下遊地區降水少(多).對31年滑動平均後3種空間分佈型的時間繫數進行Morlet小波分析和功率譜分析髮現,3箇地區均存在準60年的年代際振盪週期,長江中下遊和華南地區均存在準200年的百年際振盪週期,華南地區還存在120年和80年的變化週期.全毬海溫場與3箇地區夏季降水31年滑動平均後的相關分析錶明,在40°~70°S,170°~60°W海域海溫與華北和長江中下遊地區夏季降水負相關,與華南地區夏季降水正相關除該區外的南北半毬(30°~60°)中高緯海域海溫與華北和長江中下遊地區夏季降水正相關、與華南地區夏季降水負相關,說明在年代際和百年際時間呎度上,中高緯海域海溫是影響長江中下遊地區和華南地區夏季降水反相的主要因子之一.最後通過對太暘常數、火山活動等外彊迫因子與中國東部夏季降水的功率譜分析髮現:中國東部夏季降水的年代際與百年際變化週期大都與外彊迫因子的變化週期一緻,說明外彊迫因子,尤其是太暘常數和火山活動的變化是影響中國東部夏季降水年代際和百年際振盪的主要原因.
이용ECHO-G해기우합기후모식모의적중국동부과거근1000년적강수자료,통과경험정교함수분해방법득도료중국동부하계강수분포적주요공간형태:화북화화남지구여장강중하유지구반위상,즉화북화화남지구강수다(소)시장강중하유지구강수소(다).대31년활동평균후3충공간분포형적시간계수진행Morlet소파분석화공솔보분석발현,3개지구균존재준60년적년대제진탕주기,장강중하유화화남지구균존재준200년적백년제진탕주기,화남지구환존재120년화80년적변화주기.전구해온장여3개지구하계강수31년활동평균후적상관분석표명,재40°~70°S,170°~60°W해역해온여화북화장강중하유지구하계강수부상관,여화남지구하계강수정상관제해구외적남북반구(30°~60°)중고위해역해온여화북화장강중하유지구하계강수정상관、여화남지구하계강수부상관,설명재년대제화백년제시간척도상,중고위해역해온시영향장강중하유지구화화남지구하계강수반상적주요인자지일.최후통과대태양상수、화산활동등외강박인자여중국동부하계강수적공솔보분석발현:중국동부하계강수적년대제여백년제변화주기대도여외강박인자적변화주기일치,설명외강박인자,우기시태양상수화화산활동적변화시영향중국동부하계강수년대제화백년제진탕적주요원인.
Summer precipitation of the last 1000 years in East China (18°~ 42°N, 105°~ 125°E)was simulated by an atmosphere-ocean coupled climate model ECHO-G. The reliability of this model was validated by comparing the simulated results with the reanalysis results of Global Precipitation Climatology Project (GPCP) and the results reconstructed by tree ring in Delingha,Qinghai Province. The correlation coefficient between the simulated and the reanalyzed annual precipitation is 0.82, and that between the simulated and reconstructed results is 0.44; both have a confidence level more than 95%. The main spatial patterns of summer (JJAS) precipitation (SP) in East China were obtained by the Empirical Orthogonal Function (EOF). The spatial distribution of SP in the three regions of North China(NC), the middle and lower reaches of Yangtze River (YZ)and South China(SC) shows the "positive","negative" and "positive" patterns. That is,when precipitation in YZ is more than the normal,that in NC and SC will be less than the normal,vice versa. The Morlet wavelet analysis and the power spectrum analysis on the 31-year running mean time series of SP show that there is a quasi-60a periodicity in the three regions. And there is a quasi-200a periodicity in YZ and SC and a 120a periodicity and a 80a periodicity in SC. The correlation analysis on the 31-year running mean series of SP anomaly (in inspect to 1000 ~ 1990A. D.) and SST in the previous winter(DJF)shows that SST in the region of 170°~ 60°W and 40°~ 70°S is negatively correlated with SP in NC and YZ and positively correlated with SP in SC. SST in other mid-high latitude regions (30°~60°N and 30°~60°S)except the above one is positively correlated with SP in NC and YZ and negatively correlated with SP in SC. These suggest that on multi-decadal and centennial scales,SST in mid-high latitude regions is one of the major factors causing the opposition of SP in YZ to SP in SC. The power spectrum analysis on the 31-year running mean series of forcing factors such as solar constant, volcanic effect and CO_2 content shows that most of the multi-decadal and centennial periodicities of SP in the three regions of East China are in accordance with those of the forcing factors. For example, the solar constant has periodicities of 120.0a,68.6a and 60.0a,each of which is the same as those in SC,YZ and SC. The volcanic effect has periodicities of 73.8a and 56.5a,each of which corresponds to those in NC and YZ. Both the CO_2 content and the effective solar radiation have a 80a periodicity,the same as that in SC. These suggest that external forcing factors, especially the solar constant and the volcanic effect, are the primary causes to variations of SP on decadal and centennial time scales in East China.