共查询到20条相似文献，搜索用时 31 毫秒
1.
Milovanović Boško Schuster Phillip Radovanović Milan Vakanjac Vesna Ristić Schneider Christoph 《Theoretical and Applied Climatology》2017,130(1-2):687-700
Monthly, seasonal and annual sums of precipitation in Serbia were analysed in this paper for the period 1961–2010. Latitude, longitude and altitude of 421 precipitation stations and terrain features in their close environment (slope and aspect of terrain within a radius of 10 km around the station) were used to develop a regression model on which spatial distribution of precipitation was calculated. The spatial distribution of annual, June (maximum values for almost all of the stations) and February (minimum values for almost all of the stations) precipitation is presented. Annual precipitation amounts ranged from 500 to 600 mm to over 1100 mm. June precipitation ranged from 60 to 140 mm and February precipitation from 30 to 100 mm. The validation results expressed as root mean square error (RMSE) for monthly sums ranged from 3.9 mm in October (7.5% of the average precipitation for this month) to 6.2 mm in April (10.4%). For seasonal sums, RMSE ranged from 10.4 mm during autumn (6.1% of the average precipitation for this season) to 20.5 mm during winter (13.4%). On the annual scale, RMSE was 68 mm (9.5% of the average amount of precipitation). We further analysed precipitation trends using Sen’s estimation, while the Mann-Kendall test was used for testing the statistical significance of the trends. For most parts of Serbia, the mean annual precipitation trends fell between −5 and +5 and +5 and +15 mm/decade. June precipitation trends were mainly between −8 and +8 mm/decade. February precipitation trends generally ranged from −3 to +3 mm/decade.
相似文献2.
Highly concentrated precipitation, where a large percentage of annual precipitation occurs over a few days, may include a high risk of flooding and severe soil erosion. Thus, areas with severe erosion such as the Loess Plateau in China are particularly vulnerable to highly concentrated precipitation events due to climate change. In this study, we investigated spatial and temporal patterns in the concentration of rainfall in the Middle Yellow River (MYR) from the last 56 years (1958–2013). We used daily and monthly precipitation data from 26 meteorological stations in the study area to calculate the precipitation concentration index (PCI) and the concentration index (CI). The southern and northern parts of the MYR were characterized by a lower CI with a decreasing trend, while the middle parts had a higher CI with an increasing trend. High PCI values occurred in the southern MYR, while lower PCIs with a more homogenous rainfall distribution were found mainly in the northern parts of the MYR. The annual PCI and CI exhibited positive trends at most stations, although only a minority of stations had significant trends (P < 0.05). At seasonal scales, CI exhibited significantly increasing trends in winter at most stations, while a few stations had significant trends in the other three seasons. These findings provide important reference information to facilitate ecological restoration and farming operations in the study region. 相似文献
3.
基于1981-2015年中国逐日降水量加密观测资料和NCEP/NCAR再分析资料,采用主、客观相结合的方法,以天气过程为单元建立了中国95°E以东地区及其6个子区的区域性暴雨过程个例谱,进一步使用小波功率谱、9点二项式平滑及离差平方和聚类等方法剖析了中国95°E以东区域性暴雨过程的时、空分布统计特征。结果表明:（1）中国95°E以东区域性暴雨过程平均年总次数接近30次;其中,江淮流域是出现区域性暴雨过程最多的子区,平均为19次/a;其次为华南和西南地区东部,平均为10.5和5.8次/a;东北地区、华北和西北地区东部平均仅为1-3次/a。（2）中国95°E以东及各子区区域性暴雨过程次数的年及年代际变化主要表现为波动特征,各子区中江淮流域与中国95°E以东地区的年及年代际波动变化最为一致;华南与西南地区、东北地区与华北的波动变化互为显著的正相关。中国95°E以东及各子区区域性暴雨过程年总次数都表现出2-4 a的周期变化,此外,江淮流域、华南和西北地区东部还表现出6-10 a的周期变化,华北表现出13-17 a的周期变化。（3）中国95°E以东区域性暴雨过程总体呈夏季最多、冬季最少、春季多于秋季的分布特征,其中以7月出现次数最多。各子区中,江淮流域和西南地区东部区域性暴雨过程以6、7月最多,华南以5、6月最多;东北地区、华北、西北地区东部集中出现在7、8月。（4）中国95°E以东地区的极端区域性暴雨过程可划分为7种分布类型。第Ⅰ-Ⅳ型强降雨区从江南南部和华南呈阶梯状逐步北抬至黄淮和四川盆地东部一带,第Ⅴ-Ⅶ型除在东南沿海均有强降雨区外,第Ⅴ型在华南东部至江淮、第Ⅵ型在黄淮北部至东北地区中南部、第Ⅶ型在黄淮西部和华北中南部还分布有强降雨区。 相似文献
4.
选择喜马拉雅山南北两侧有代表性的13个气象站1951—2010年的气温、降水资料,分析这些台站气候变化总体趋势、年代际变化及突变特征,结果表明：1961—2010年整个喜马拉雅山区的气温总体呈显著上升趋势,平均升温速率为0.38℃/10a。1970—1990年代升温在加速,2000年代升温速率则有所放缓。中段地区各站在2000年左右发生一次显著的升温突变,而西段和东段虽都出现升温突变,但出现的时间差异较大。1971—2010年喜马拉雅山区的降水在西段呈减少趋势,中段、东段大致呈现出微弱增加趋势,但总体变化趋势不明显。降水的年代际变化也表现为1970—1990年代略有增加,2000年代则有所减少。降水突变在西段以减少为主,在中段和东段以增加为主,但各站发生突变的年代很不一致。 相似文献
5.
利用1961—2021年汛期（4—6月）江西省83个气象站点的逐日降水序列资料,计算了江西省汛期候尺度降水集中度（PCD）和集中期（PCP）,运用合成分析、趋势分析方法分析了江西省汛期降水的不均匀特征。结果表明：江西省PCD的变化区间为0.12—0.43,PCP的变化区间为5月第1候至6月第5候,说明江西省汛期降水较为均匀,但近年来降水有更集中的趋势。在空间分布上,赣南南部和赣北东部降水较为集中,降水集中期自南向北逐渐推迟,主要出现在6月中下旬。从变化趋势来看,PCP在赣南南部和赣中东部为偏早趋势,赣中北部和赣北地区有偏晚的趋势,PCD的趋势并不明显。多雨年PCD大值区主要在赣中地区,最大降水出现在6月;少雨年PCD大值区在赣北中南部和赣南东部地区,最大降水出现在5月。 相似文献
6.
Climatology and trends of wet spells in China 总被引：3，自引：0，他引：3
Summary Climatological features and variations of wet spells, especially their trends over China, are investigated using a dataset
of 594 meteorological stations across China from 1951 to 2003. The results show that the lower the latitude is, the longer
the annual duration of wet spells is. The mean annual precipitation from wet spells is higher in southeastern coastal areas
and much lower in western and northern China. The longest wet spells are found in Southwest China and the eastern Tibetan
Plateau. The maximum daily precipitation of wet spells decreases from the southeast to the northwest, with the highest in
southeastern coastal areas and the lowest in western China. The trends of wet spells exhibit striking regional differences.
In most areas of western China, the annual number of days in wet spells has slightly increased, but significantly decreased
over North China, Central China and Southwest China. The annual precipitation amount from wet spells displays significant
downward trends in North China, eastern Northeast China and the eastern part of Southwest China, but upward trends in the
eastern Tibetan Plateau and some southeastern coastal areas. Two clearly-contrasting regions in climatic changes of wet spells
are the mid-lower reaches of the Yellow River and the eastern Tibetan Plateau, characterized by a decrease of about 24 days
and an increase of about 6 days in annual wet spell days from 1953 to 2003, respectively. 相似文献
7.
利用龙岩市1960—2013年7个国家级气象站的逐日降水资料,采用Mann-Kendall趋势和突变检验法及Morlet小波功率谱分析方法,分析龙岩市降水的时空分布规律。结果表明,龙岩市年降水量呈微弱增加趋势,年际波动振幅较大。年降水量多年平均值为1 641 mm,最小值出现在1991年(1 139.9 mm),最大值则出现在1975年(2 286.9 mm),年降水时间序列存在显著的2~8 a的周期。降水主要集中在春季,春季降水量占全年降水量的38.2%左右,其次是夏季和秋季,冬季降水量最少,仅占全年降水量的11.5%。1—6月月平降水量呈现增长趋势,8—12月呈现递减趋势。北部和南部年降水量整体变化趋势基本一致,南部地区总体小于北部地区,只有极个别年份南部地区降水量大于北部地区。 相似文献
8.
9.
基于1960—2013年106个地面气象站观测数据,对江淮地区雨、雪、雨夹雪及冻雨4种相态降水日数气候特征、月际分布、年际变化、长期趋势以及各相态降水日数与纬度、海拔高度之间关系等方面进行探讨,结果表明:江淮地区全年降雨日数为各相态降水日数之最多,空间分布上呈南多北少的分布特点,雪日数空间分布与雨日数相反,为北多南少;雨夹雪和冻雨日数主要表现为纬向差异,东部沿海少于西部内陆;在近54a中,各相态降水日数区域平均值均呈减少趋势,其中雨、雪、雨夹雪减少趋势显著;从各站点降水日数变化趋势的空间分布看,虽然各相态降水日数普遍以减少趋势为主,但冻雨显著减少的站点最少;除降雨主要出现在3—8月,其他相态的降水出现较多的时段为11月至翌年3月;4种相态降水日数中,降雪和冻雨日数与海拔高度关系最为密切,呈显著正相关,其次为雨夹雪。 相似文献
10.
《Atmospheric Research》2010,95(4):616-628
The objective of this study is to find out the spatial and temporal variability of the dry and wet spells in Greece, during the period 1958–2007. The meteorological data with respect to daily precipitation totals were acquired from 27 meteorological stations of the Hellenic National Meteorological Service, which are uniformly distributed over the country. The dry spells concern consecutive dry days (CDD); the largest number of consecutive days with daily precipitation amount less than 1 mm, within a year. The wet spells concern consecutive wet days (CWD); the largest number of consecutive days with daily precipitation amount more than or equal to 1 mm, within a year, as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), jointly sponsored by the Commission for Climatology (CCl) of the World Meteorological Organization's (WMO) World Climate Data and Monitoring Programme (WCDMP), the Climate Variability and Predictability (CLIVAR) Programme of the World Climate Research Programme (WCRP) and the Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology (JCOMM).As results from the analysis, the spatial distributions of the mean annual CDD and the mean annual CWD along with their trends, within the examined period, are presented. The findings indicate that CDD obtain maxima in the Cyclades Islands and the southeastern Aegean Sea, while minima are found in the northwestern Greece. On the contrary, the longest CWD are observed in western Greece and western part of Crete Island and the shortest in the eastern continental Greece and in the majority of the Aegean Sea. On an annual basis, the temporal variability of CWD shows statistically significant (confidence level of 95%) negative trends, mainly in the western region of Greece, while insignificant positive trends for CDD appear almost all over the country with emphasis in the southeastern region. Finally, in order to interpret the drier and wetter periods within the examined period, the 850 hPa and the 500 hPa geopotential height (m) composites of the anomalies from 1958–1996 climatological normal (clino), are analysed using the National Centers for Environmental Prediction (NCEP) reanalysis data. 相似文献
11.
本文利用1980~2015年近36a昌都市7个台站的逐日降水资料,计算降水集中度(PCD)与集中期(PCP),采用相关分析、合成分析等统计方法研究对PCD、PCP时空特征及与年降水量关系进行分析。结果表明:昌都市PCD范围在0.53~0.76,多年平均值为0.64,PCP范围在39候(7月中旬)~45候(8月中旬),平均值为41.7侯(7月下旬);空间上,昌都市PCD由北向南,自西向东逐渐增大,PCP呈“北早南晚、西早东晚”分布;昌都市大部地方PCD与年降水量呈显著正相关,年降水越多,降水越集中,出现“先旱后涝”的可能性越大。 相似文献
12.
Spatial patterns and temporal trends of precipitation in Iran 总被引：3，自引：0，他引：3
Tayeb Raziei Jamal Daryabari Isabella Bordi Luis S. Pereira 《Theoretical and Applied Climatology》2014,115(3-4):531-540
Spatial patterns of monthly, seasonal and annual precipitation over Iran and the corresponding long-term trends for the period 1951–2009 are investigated using the Global Precipitation Climatology Centre gridded dataset. Results suggest that the spatial patterns of annual, winter and spring precipitation and the associated coefficients of variation reflect the role of orography and latitudinal extent between central-southern arid and semi-arid regions and northern and western mountainous areas. It is also shown that precipitation occurrence is almost regularly distributed within the year in northern areas while it is more concentrated in a few months in southern Iran. The spatial distribution of Mann–Kendal trend test (Z statistics) for annual precipitation showed downward trend in north-western and south-eastern Iran, whereas western, central and north-eastern exhibited upward trend, though not statistically significant in most regions. Results for winter and autumn revealed upward trend in most parts of the country, with the exception of north-western and south-eastern where a downward trend is observed; in spring and summer, a downward trend seems to prevail in most of Iran. However, for all seasons the areas where the detected trend is statistically significant are limited to a few spot regions. The overall results suggest that the precipitation is decreasing in spring and summer and increasing in autumn and winter in most of Iran, i.e. less precipitation during the warm season with a consequent intensification of seasonality and dryness of the country. However, since the detected trends are often not statistically significant, any stringent conclusion cannot be done on the future tendencies. 相似文献
13.
In this study, satellite-based daily precipitation estimation data from precipitation estimation from remotely sensed information using artificial neural networks (PERSIANN)-climate data record (CDR) are being evaluated in Iran. This dataset (0.25°, daily), which covers over three decades of continuous observation beginning in 1983, is evaluated using rain-gauge data for the period of 1998–2007. In addition to categorical statistics and mean annual amount and number of rainy days, ten standard extreme indices were calculated to observe the behavior of daily extremes. The results show that PERSIANN-CDR exhibits reasonable performance associated with the probability of detection and false-alarm ratio, but it overestimates precipitation in the area. Although PERSIANN-CDR mostly underestimates extreme indices, it shows relatively high correlations (between 0.6316–0.7797) for intensity indices. PERSIANN-CDR data are also used to calculate the trend in annual amounts of precipitation, the number of rainy days, and precipitation extremes over Iran covering the period of 1983–2012. Our analysis shows that, although annual precipitation decreased in the western and eastern regions of Iran, the annual number of rainy days increased in the northern and northwestern areas. Statistically significant negative trends are identified in the 90th percentile daily precipitation, as well as the mean daily precipitation from wet days in the northern part of the study area. The positive trends of the maximum annual number of consecutive dry days in the eastern regions indicate that the dry periods became longer in these arid areas. 相似文献
14.
2008～2016年重庆地区降水时空分布特征 总被引：1，自引：0，他引：1
利用2008~2016年国家气象信息中心提供的0.1°分辨率的中国地面与CMORPH融合逐小时降水产品,分析了重庆地区的降水时空分布特征,尤其是小时强降水的时空分布特征。结果表明:(1)年均降水量总体呈西低东高分布,大值中心位于重庆东北和东南部,且存在一定的季节性差异,特别是夏季,西部降水明显增强,总降水呈两高(西部、东部)一低(中部)的分布;降水频次、降水强度与地形的相关性较高,海拔高度较高的山区(海拔高度>1000 m)降水频次多大于盆地和丘陵区(海拔高度<1000 m),降水强度与之相反,且小时强降水多发生在迎风坡前侧的过渡区域,说明高海拔区域易出现降水,但降水强度不强,而地形抬升则是触发强降水的重要原因,导致山前降水明显大于山峰。(2)重庆地区降水主要集中在5~9月,降水量、降水强度和小时强降水频次均呈单峰型分布,峰值出现在6~7月,降水频次呈双峰型分布,一个峰值出现在5~6月,另一个峰值出现在10月,7~8月为低频期,与副高控制下的连晴高温天气有关。(3)重庆地区降水存在明显的日变化特征,降水以夜雨为主,且降水峰值出现时间表现为向东延迟的特征,重庆西部日峰值出现在凌晨02:00(北京时,下同),中部出现在清晨05:00,东北部出现在早上08:00。从不同季节来看,春季、秋季和冬季降水日变化呈单峰型分布,主要集中在清晨,而夏季受午后局地对流性天气的影响,在下午17:00左右存在一个次峰值。(4)强降水的主要集中在夏季,在空间上存在三个大值中心,受西南涡及地形的相互作用,夏季在缙云山以西的盆地区域,小时强降水频次明显较高。 相似文献
15.
1960~2011年中国日降水集中程度的时空变化特征 总被引：1，自引：0，他引：1
利用1960~2011 年的日降水资料,计算降水集中指数（Concentration Index,CI）,分析中国区域降水集中程度的空间分布及时间变化特征,得到以下主要结论：CI 指数可有效描述我国日降水集中程度;我国CI 指数介于0.575 与0.750 之间,平均为0.652,总体呈现出东部大、西部小,夏季大、冬季小的特征;44.17%站点的CI 指数表现出增加趋势,55.83%的站点表现出减少趋势,其中10.36%站点的变化趋势通过95%信度水平的显著性检验,CI 指数显著增大的站点主要分布在西北、华中和西南地区,显著减小的站点主要分布在东北、华北、东南沿海及青藏高原东部等地区;3~5 年是各子区域CI 指数变化的主要周期,与对应区域降水量的变化周期较一致;1970 年左右和2000 年左右是显著周期性变化出现较集中的时间段。 相似文献
16.
Temporal trends between 1951 and 2007 in annual Indian Summer Monsoon (ISM) precipitation, frequency of severe drought years and onset date of ISM were analysed on a 0.25°?×?0.25° grid cell basis across India using APHRODITE daily gridded precipitation data. Locations which experienced temporal trends of increasing or decreasing inter-annual variation in annual ISM precipitation and onset date of ISM were detected using the non-parametric Mann-Kendall test. A new method of defining local onset of ISM from daily precipitation data was developed to enable countrywide temporal trend analysis of onset date. India was characterised by a heterogeneous spatial distribution in the magnitude of inter-annual variation and location of significant temporal trends in the examined facets of ISM precipitation. A greater extent of the country experienced significant trends (p?<?0.05) of increasing inter-annual variation rather than simple increasing or decreasing trends in annual ISM precipitation and onset date of ISM. Field significance tests showed grid cells reporting significant trends were significant (p?<?0.05) at the global or field level (except trends of increasing, i.e. later, ISM onset date). This research provides finer spatial detail regarding trends and variation in annual ISM precipitation, severe drought years and onset date of ISM complementing recent studies on trends in extreme precipitation events over India to produce a comprehensive overview of recent behaviour of ISM precipitation. These findings will benefit water managers charged with managing water resources sustainably at a fine spatial scale (the watershed or basin level). 相似文献
17.
Jharkhand is one of the eastern states of India which has an agriculture-based economy. Uncertain and erratic distribution of precipitation as well as a lack of state water resources planning is the major limitation to crop growth in the region. In this study, the spatial and temporal variability in precipitation in the state was examined using a monthly precipitation time series of 111 years (1901–2011) from 18 meteorological stations. Autocorrelation and Mann–Kendall/modified Mann–Kendall tests were utilized to detect possible trends, and the Theil and Sen slope estimator test was used to determine the magnitude of change over the entire time series. The most probable change year (change point) was detected using the Pettitt–Mann–Whitney test, and the entire time series was sub-divided into two parts: before and after the change point. Arc-Map 9.3 software was utilized to assess the spatial patterns of the trends over the entire state. Annual precipitation exhibited a decreasing trend in 5 out of 18 stations during the whole period. For annual, monsoon and winter periods of precipitation, the slope test indicated a decreasing trend for all stations during 1901–2011. The highest variability was observed in post-monsoon precipitation (77.87 %) and the lowest variability was observed in the annual series (15.76 %) over the 111 years. An increasing trend in precipitation in the state was found during the period 1901–1949, which was reversed during the subsequent period (1950–2011). 相似文献
18.
Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China 总被引：1，自引：0，他引：1
The temporal variations and spatial patterns of drought in Shandong Province of Eastern China were investigated by calculating the standardized precipitation evapotranspiration index (SPEI) at 1-, 3-, 6-, 12-, and 24-month time scales. Monthly precipitation and air temperature time series during the period 1960–2012 were collected at 23 meteorological stations uniformly distributed over the region. The non-parametric Mann-Kendall test was used to explore the temporal trends of precipitation, air temperature, and the SPEI drought index. S-mode principal component analysis (PCA) was applied to identify the spatial patterns of drought. The results showed that an insignificant decreasing trend in annual total precipitation was detected at most stations, a significant increase of annual average air temperature occurred at all the 23 stations, and a significant decreasing trend in the SPEI was mainly detected at the coastal stations for all the time scales. The frequency of occurrence of extreme and severe drought at different time scales generally increased with decades; higher frequency and larger affected area of extreme and severe droughts occurred as the time scale increased, especially for the northwest of Shandong Province and Jiaodong peninsular. The spatial pattern of drought for SPEI-1 contains three regions: eastern Jiaodong Peninsular and northwestern and southern Shandong. As the time scale increased to 3, 6, and 12 months, the order of the three regions was transformed into another as northwestern Shandong, eastern Jiaodong Peninsular, and southern Shandong. For SPEI-24, the location identified by REOF1 was slightly shifted from northwestern Shandong to western Shandong, and REOF2 and REOF3 identified another two weak patterns in the south edge and north edge of Jiaodong Peninsular, respectively. The potential causes of drought and the impact of drought on agriculture in the study area have also been discussed. The temporal variations and spatial patterns of drought obtained in this study provide valuable information for water resources planning and drought disaster prevention and mitigation in Eastern China. 相似文献
19.
研究大陆或次大陆尺度日降水长期趋势变化规律,对于检测、理解区域气候和陆地水循环对全球气候变暖的响应特征十分重要。利用美国国家气候资料中心(NCDC)和中国基准气候站、基本气象站网降水观测资料,在对该站点资料进行基本质量控制基础上,选取东亚地区619个站1951～2009年日降水数据,按照百分位阈值对降水进行分级,共分为弱、中、强、极强4个级别,用经纬度网格面积加权平均方法构建区域平均的时间序列,分析了各类降水事件长期变化趋势的时空特征。结果表明:东亚地区近59年平均总降水量表现出不显著下降趋势,降水日数没有出现趋势性变化,平均日降水强度略有减小;区域平均的年降水量、降水日数和日降水强度在中国北方大部、蒙古东部、俄罗斯远东地区南部和日本列岛多呈减少趋势,而在俄罗斯中西伯利亚南部、朝鲜半岛南部和中国长江中下游流域一般表现为增加。从季节上看,近59年东亚区域平均的冬、春季降水量、降水日数和日降水强度均呈增加趋势,而夏、秋季一般呈减少趋势,仅夏季日降水强度略有增加。降水的年内分配出现均匀化趋势。从不同级别降水事件看,近59年来东亚区域平均的各级别降水量均为下降趋势,中降水、强降水和极强降水日数也呈现下降趋势,弱降水日数表现出较明显增加;仅有全区秋季强降水量、日数减少趋势和冬季中降水量、日数增加趋势通过了显著性水平检验。分析还发现,近30年(1980～2009年)东亚地区日降水趋势变化出现了新的特征,主要表现为大部分地区降水日数呈现增加,日降水强度减少,45°N以南多数台站降水量也增加,全区降水有向非极端化方向发展趋势。 相似文献
20.
Holocene hydrological cycle changes in the Southern Hemisphere documented in East Antarctic deuterium excess records 总被引：1，自引：0，他引：1
F. Vimeux V. Masson J. Jouzel J. R. Petit E. J. Steig M. Stievenard R. Vaikmae J. W. C. White 《Climate Dynamics》2001,17(7):503-513
Four Holocene-long East Antarctic deuterium excess records are used to study past changes of the hydrological cycle in the
Southern Hemisphere. We combine simple and complex isotopic models to quantify the relationships between Antarctic deuterium
excess fluctuations and the sea surface temperature (SST) integrated over the moisture source areas for Antarctic snow. The
common deuterium excess increasing trend during the first half of the Holocene is therefore interpreted in terms of a warming
of the average ocean moisture source regions over this time. Available Southern Hemisphere SST records exhibit opposite trends
at low latitudes (warming) and at high latitudes (cooling) during the Holocene. The agreement between the Antarctic deuterium
excess and low-latitude SST trends supports the idea that the tropics dominate in providing moisture for Antarctic precipitation.
The opposite trends in SSTs at low and high latitudes can potentially be explained by the decreasing obliquity during the
Holocene inducing opposite trends in the local mean annual insolation between low and high latitudes. It also implies an increased
latitudinal insolation gradient that in turn can maintain a stronger atmospheric circulation transporting more tropical moisture
to Antarctica. This mechanism is supported by results from a mid-Holocene climate simulation performed using a coupled ocean-atmosphere
model.
Received: 7 July 1999 / Accepted: 21 July 2000 相似文献