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11.
Based on the reanalysis data of monthly mean global SST and wind from the NCEP/NCAR and the observation data of rain seasons in 124 stations of Yunnan province from 1961 to 2006, we applied the analytical methods of correlation analysis and composite analysis and a significance testing method to two sets of samples of average differences. The goal is to investigate into the influence of the Southern Hemispheric (SH) SST on the summer precipitation in Yunnan from January to May so as to identify the key time and marine regions. Physical mechanisms are obtained by analyzing the influence of sea level wind and the key marine regions on the precipitation during Yunnan’s rain season. Results show that there is indeed significant relationship between the SST in SH and summer precipitation in Yunnan. The key areas for influencing the summer precipitation are mainly distributed in a region called “West Wind Drift” in the SH, including the Southeast Indian, southern Australia, west coast of eastern Pacific off Chile, Peru and the southwest Atlantic Magellan. Besides, the most significant marine region is the west coast of Chile and Peru (cold-current areas of the eastern Pacific). Diagnostic analysis results also showed that monsoons in the Bay of Bengal, a cross-equatorial flow in the Indian Ocean near the equator and southwest monsoon in India weaken during the warm phase of the Peruvian cold current in the eastern Pacific. Otherwise, they strengthen.  相似文献   
12.
为在宏观上对黄河中游水沙运动的变化规律从随机过程的角度予以揭示,以黄河中游潼关水文站1952-1998年期间流量超过6 000m3/s的次洪过程中的洪峰流量和相应的沙峰含沙量系列为基础,运用Copula函数方法构建了黄河中游汛期水沙联合分布模型并对其应用进行了探讨.结果表明:在水沙丰枯同步频率中,同丰的频率略大于同枯的...  相似文献   
13.
In order to show that dolphins use estuary habitats differently depending on the season and tidal state, possibly in response to prey distribution, temperature, risk of stranding and accessibility, Indo-Pacific bottlenose dolphins (Tursiops aduncus) were observed year-round during a 3-year study in the Clarence River estuary (CR) and Richmond River estuary (RR) in northern New South Wales, Australia. Peak dolphin sightings occurred during the spring season and one or 2 h prior to high tide. The spatial distribution of the dolphins in each estuary was analysed using the distance in kilometres that the dolphins travelled upstream with seasons and tidal phase as determinants. A General Linear Model showed that in the CR the dolphin spatial distribution in the estuary was not determined by season (F = 0.434, df = 3, P = 0.729) but was by tidal phase (F = 9.943, df = 3, P < 0.001) and the interaction between season and tidal phase (F = 3.398, df = 9, P < 0.002). However, in the RR the spatial distribution of the dolphin use of the estuary was not determined by either season (F = 1.647, df = 3, P = 0.194) or tidal phase (F = 0.302, df = 3, P = 0.824). In the CR, the spatial distribution of the dolphins was largest on high and flood tides. This pattern of spatial distribution may occur because the CR is a relatively shallow estuary and this increased spatial distribution may reflect a lower stranding risk and an increase in accessibility of shallow areas during periods of higher tide. These areas could also provide access to their preferred prey items of sea mullet (Mugil cephalus) and sand whiting (Sillago ciliata).  相似文献   
14.
A field study was performed at rivers in Gunung Jerai forest reserve(Kedah,Malaysia) to assess seasonal changes in mayfly community structure and abundance in relation to altitude and water physicochemistry.Rivers at lower(Batu Hampar River) and higher(Teroi River) elevations were visited through dry and wet seasons in September 2007 to August 2008.Monthly visits were made to 20 sites on each river,and water and aquatic insects were sampled using D-pond aquatic nets.Water was warmer,more acid,and more turbid in Teroi River during wet season.Ammonia was the only nutrient exhibiting significant seasonal variations(greater during wet season).Chemical oxygen demand content was higher in Teroi River where biochemical oxygen demand content was low during wet season.Species richness was higher in Batu Hampar River,but displayed seasonal variations only in Teroi River.Among the eight families encountered,Baetidae was the commonest.Baetid abundance was usually high during wet season,and those belonging to the dominant genus(Baetis) were more abundant in Teroi River.Heptageniidae was the second commonest family;its predominant genus,Thalerospyrus was more abundant in Teroi River during dry season.Caenidae,Leptophlebiidae and Oligoneuriidae were only found in Batu Hampar River where their abundances peaked during dry season,i.e.,Habrophlebiodes sp.and Isonychia sp.Ephemerellidae and Teloganodidae occurred only in Teroi River,with the first found only during dry season.Mayflies were recorded under very distinct physicochemical conditions,illustrating their potential usefulness for assessing water quality.Caenids,leptophlebids,oligoneurids ephemerellids and teloganodids seem to be particularly sensitive to temperature,acidity,turbidity,chemical oxygen demand and biochemical oxygen demand,parameters that varied with river altitude.  相似文献   
15.
基于相关系数和Fisher最优分割法的汛期分期研究   总被引:1,自引:0,他引:1  
从径流形成原理出发,提出了采用降雨径流相关系数作为汛期分期指标的基本思路。以陕西省石头河水库1954~2007年的日降水和日流量资料为基础,采用主成分分析法对影响时段径流的因素进行了分析,筛选出了影响不同时段径流量的主要因素,计算了主要影响因素与时段径流量的相关系数,采用Fisher最优分割法将石头河水库汛期划分为汛前过渡期(4月1日~5月20日)、前汛期(5月21日~7月10日)、主汛期(7月11日~8月10日)、后汛期(8月11日~9月20日)和汛后过渡期(9月21日~10月31日),并结合区域气候特点和实际发生的洪水对成果进行了合理性论证。该方法资料要求低,计算简便,具有一定的推广应用价值。  相似文献   
16.
1955—2007年拉萨市雨季夜雨率变化特征   总被引:1,自引:0,他引:1  
余忠水 《气象》2011,37(12):1584-1588
利用1955—2007年拉萨市逐日降水和气温地面观测资料,分析了拉萨市雨季(5—9月)夜雨率变化特征。结果表明:拉萨市整个雨季日夜雨率变化是比较稳定的,近50多年来基本没有发生明显的年代际变化。夜雨率与日降水量有显著关联,当日降水量在25 mm以下时,夜雨率随降水量增加而增大,当日降水量〈1 mm时夜雨率最小为75.2%,当日降水量为25 mm时,夜雨率达到最大值93.4%;夜雨率与日温差存在显著的负相关;拉萨多夜雨与地形有关,高夜雨率既有有利的一面,也会带来一些负面影响。因此,深入探讨夜雨率是制定有效防御气象灾害对策的重要依据。  相似文献   
17.
青藏高原四季划分方法探讨   总被引:2,自引:0,他引:2  
利用中国气象局国家气象信息中心提供的青藏高原60个测站1961~2007年逐日气温资料,分析常用的四季划分方法在高原的适用性,指出各种四季划分方法的不足和局限,并根据四季持续时间的合理性、物候特征、海拔高度、气候(温度)分布特征等因素提出了针对不同的生产、生活目的而建立的新四季划分方法。探讨认为:(1)根据高原物候特征和气温相结合的方式得到的"物候四季划分方法"即"4℃-12℃-10℃-1℃"对高原农牧业尤为适合;(2)"海拔季节划分方法"对高原旅游和人们衣着尤为适合,海拔季节划分方法把高原分成二个区:海拔4000m以上四季划分方法为"5℃-12℃-12℃-5℃",4000m以下四季划分方法为"5℃-15℃-15℃-5℃;"(3)"生活季节划分方法"对高原不同区域的生产生活尤为适合,生活季节划分方法将高原分为三个区:Ⅰ区四季划分方法为"6℃-16℃-16℃-6℃",Ⅱ区四季划分方法为"5℃-12℃-12℃-5℃",Ⅲ区四季划分方法"7℃-7℃"划分春冬和秋冬,不存在夏季。最后,综合以上各种方法的优缺点,初步定义"高原普适季节划分方法"即"5℃-15℃-15℃-5℃"为高原总体的四季划分方法,对高原整体的国民经济和政府活动、旅游、人们的衣着、生活生产、季节类产品的销售具有总体的指导意义。  相似文献   
18.
中国大陆降水时空变异规律——I.气候学特征   总被引:2,自引:0,他引:2       下载免费PDF全文
为系统了解大尺度降水气候特征,利用2 300多个国家级气象站逐日观测资料,分析了中国大陆1956—2013年多年平均降水的空间分布和季节性变化规律。主要新认识有:① 暴雨量、暴雨日数和暴雨强度最高的站点在华南沿海,而小雨量、小雨日数最多的站点主要在江南内陆山区、丘陵;东部季风区山地、丘陵多出现低强度降水,平原和沿海易出现高强度降水;② 四季降水量均由西北内陆向东南沿海递增,南方秋季降水量明显小于春季,但华西和江南沿海秋季降水量较多,冬季降水在东南丘陵出现高值中心;③ 珠江和东南诸河流域降水量年内存在2个峰值,其中珠江流域有6月主峰值和8月次峰值,东南诸河流域主峰在6月中下旬,次峰在8月末,长江流域总体表现为单峰型,出现在6月下旬和7月初,西南诸河流域和北方所有流域降水均表现为夏季单峰型;④ 南方各大河流域从2月末到6月中下旬陆续进入雨季,北方各大河流域进入雨季时间集中在6月末、7月初;南、北方雨季结束时间比雨季开始时间集中,从南到北进入雨季时间持续120 d以上,而从北到南退出雨季时间则仅持续不到45 d;⑤ 丰雨期的持续时间,珠江流域从5月初到9月上旬后期,东南诸河从5月上旬到7月上旬,8月末到9月初再度短暂出现,长江流域从6月中下旬到7月中旬,西南诸河从7月中旬到 8月下旬,淮河流域从7月上旬至7月底、8月初,辽河流域在8月初出现极短丰雨期;⑥ 降水年际变异性最高的站点在青藏高原西南、塔里木盆地、阿拉善高原、华北平原北部和汾河谷地,海河流域年降水具有最大的变异系数。  相似文献   
19.
Several studies on tropical cyclone genesis potential index (GPI) mainly using atmospheric parameters (relative/absolute vorticity, relative humidity, vertical wind shear, potential instability, vertical velocity etc.) have been reported earlier. Though the ocean plays a vital role in the genesis and intensification of cyclones, no ocean parameter has been included in most of the studies. In this study, we have made an attempt to develop a new GPI for Bay of Bengal during peak post-monsoon (October-November) season including upper ocean heat content (UOHC) using the data for the period 1995–2015. It is found that the new GPI is better correlated with the total number of depressions, cyclones and severe cyclones (TNDC) compared with the existing GPI which was developed for the north Indian Ocean and presently used by India Meteorological Department (IMD), New Delhi. The correlation has significantly enhanced (r=0.86:significant at >99% level) by using the first differences [year(0) –year(?1)] of the time series data. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season.  相似文献   
20.
Planting a cover crop between the main cropping seasons is an agricultural management measure with multiple potential benefits for sustainable food production. In the maize production system of the Netherlands, an effective establishment of a winter cover crop is important for reducing nitrogen leaching to groundwater. Cover crop establishment after maize cultivation is obliged by law for sandy soils and consequently implemented on nearly all maize fields, but the winter-time vegetative ground cover varies significantly between fields. The objectives of this study are to assess the variability in winter vegetative cover and evaluate to what extent this variability can be explained by the timing of cover crop establishment and weather conditions in two growing seasons (2017–2018). We used Sentinel-2 satellite imagery to construct NDVI time series for fields known to be cultivated with maize within the province of Overijssel. We fitted piecewise logistic functions to the time series in order to estimate cover crop sowing date and retrieve the fitted NDVI value for 1 December (NDVIDec). We used NDVIDec to represent the quality of cover crop establishment at the start of the winter season. The Sentinel-2 estimated sowing dates compared reasonably with ground reference data for eight fields (RMSE = 6.6 days). The two analysed years differed considerably, with 2018 being much drier and warmer during summer. This drought resulted in an earlier estimated cover crop sowing date (on average 19 days) and an NDVIDec value that was 0.2 higher than in 2017. Combining both years and all fields, we found that Sentinel-2 retrieved sowing dates could explain 55% of the NDVIDec variability. This corresponded to a positive relationship (R2 = 0.50) between NDVIDec and the cumulative growing degree days (GDD) between sowing date and 1 December until reaching 400 GDD. Based on cumulative GDD derived from two weather stations within Overijssel, we found that on average for the past three decades a sowing date of 19 September (± 7 days) allowed to attain these 400 GDD; this provides support for the current legislation that states that from 2019 onwards a cover crop should be sown before 1 October. To meet this deadline, while simultaneously ascertaining a harvest-ready main crop, in practice implies that undersowing of the cover crop during spring will gain importance. Our results show that Sentinel-2 NDVI time series can assess the effectiveness and timing of cover crop growth for small agricultural fields, and as such has potential to inform regulatory frameworks as well as farmers with actionable information that may help to reduce nitrogen leaching.  相似文献   
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