5 resultados para meteorological stations

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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About 214 trees in 9 sampling sites, representing 5 endemic conifer species, were collected from the western Sichuan Province and eastern Qinghai Province, China. In this study, structure we try to investigate tree-ring sensitivity to climate in order to obtain primary information of reconstructing past climate from the trees in this region. All the 5 species present distinct ring boundaries ^ few ABS(absent rings) and available for cross-dating,which are all past the test by program COFECHA. Statistics for all the 8 tree-ring width residual chronologies present significant inter-correlation between series and high values of mean sensitivity. As well as the maximum latewood density of Picea crassifolia Kom and Pinus densata Mast. These results indicate usefulness of these chronologies for dendrochronological studies. Pearson correlation analyses were applied to provide a basic estimate of the causal relationships between tree-ring width and climate factors. We found some significant relationships between tree-ring width> maximum density and temperature as well as precipitation. Especially, there is high correlation between the maximum density of the Picea crassifolia Kom and the index of moisture, the ratio of precipitation and temperature, which can indicate well the climate; however the higher correlation can be see between the maximum density of Pinus densata Mast and the total temperature from June to September. Regardless of tree species, chronologies in our study region presented accordant variations of which may reveal strong common climate signal. Thus these chronologies are shown to be dependable for building tree-ring network in the nearly future. However, there are limitations in this study, only monthly mean of temperature and precipitation were available. Also, for this typical subtropical mountain system, meteorological stations are usually located in valley and biased to represent moisture conditions on the slopes. Thus the estimation of precipitation both in temporal and spatial domain was rather restricted. Further study, such as wood anatomy, physiology and densitometry, are needed for better understanding the environmental and climatic history in this area.

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Stable deuterium (delta D) and oxygen-18 (delta O-18) isotopes in 1962 to 2002 precipitation from the seven Australian stations of the Global Network of Isotopes in Precipitation (GNIP) were used to investigate isotope characteristics including temporal and spatial distributions across different regions of Australia. On the basis of 1534 samples, the local meteoric water line (LMWL) was established as delta D = 7.10 delta O-18 + 8.21. delta O-18 showed a depletion trend from north and south to central Australia (a continental effect) and from west to east. Precipitation amount effects were generally greater than temperature effects, with quadratic or logarithmic correlations describing delta/T and delta/P better than linear relationships. Nonlinear stepwise regression was used to determine the significant meteorological control factors for each station, explaining about 50% or more of the delta O-18 variations. Geographical control factors for delta O-18 were given by the relationship delta O-18 (parts per thousand) = -0.005 longitude (degrees) - 0.034 latitude (degrees)-0.003 altitude (m) - 4.753. Four different types of d-excess patterns demonstrated particular precipitation formation conditions for four major seasonal rainfall zones. Finally, wavelet coherence (WTC) between delta O-18 and SOI confirmed that the influence of ENSO decreased from east and north to west Australia.

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本文依据收集到的392个地面验潮站8个主要分潮(M2、S2、K1、O1、N2、K2、P1及Q1)的调和常数,对现有7个全球大洋潮汐模式的准确度进行了检验,结果显示各模式在深海区域均达到了比较高的准确度,相互之间差别也不大。经验模式GOT00和CSR4.0、同化模式NAO99、反演同化模式TPXO7.0、数值同化模式FES2002和FES2004的M2分潮均方根偏差在3 cm左右,其它分潮(S2、K1、O1、N2、K2、P1及Q1)大约在1~2 cm。本文还依据中国近海18个岛屿的调和常数对其中的5个大洋潮汐模式的准确度进行了检验,结果表明,M2分潮均方根偏差在6~14 cm,明显高于大洋部分的偏差,其中日本国家天文台的潮汐模式NAO99在中国近海的结果相对较准确。 我们利用1992年8月至2008年8月的TOPEX/POSEIDON和JASON-1(T/P-J)卫星高度计资料,对沿卫星轨道的302816个站点进行了14个分潮的潮汐调和分析,得到了全球大洋潮汐的8个主要分潮以及2个气象分潮Sa、Ssa的经验同潮图。主要结果有:(1)各分潮在卫星上升轨道与下降轨道的交叉点(约7000个)相关性分析表明:M2分潮的振幅和迟角的相关系数很高(分别为0.9965和0.9961);S2,K1,O1和Sa分潮也有较好的相关性(相关系数为0.94~0.99);(2)该结果与392地面个验潮站吻合较好,其中M2分潮的振幅、迟角和向量的均方根偏差分别为:1.73 cm,2.340和2.93 cm;S2,K1和O1分潮的振幅、迟角和向量的均方根偏差为1 cm左右,5.250~7.270和1.5~2.1 cm,该精度与最近几年国际上的主要大洋潮汐模式的准确度相近;(3)首次通过卫星资料获得了Sa、Ssa分潮的同潮图。周期为1年的Sa分潮与大洋105个地面站相比,振幅、迟角和向量的均方根偏差分别为1.50 cm、18.360和2.16 cm。在此基础上,进一步分析了构成Sa、Ssa气象分潮的两个主要因素(海水密度以及海面气压)在全球的分布。 在T/P-J等卫星资料无法覆盖到南大洋和北冰洋,本文利用Princeton Ocean Model(POM)进行了数值模拟,模拟结果与162个地面实测站(其中南大洋30个,北冰洋132个)的观测比较一致。基于卫星资料分析的结果和数值模拟结果合并得到了全球大洋的8个主要分潮同潮图。在此基础上通过全球潮汐能量耗散的计算得到潮能通量的分布,并得到全球M2、S2、K1和O1分潮的潮汐能量耗散率为2.431TW、0.401TW、0.336TW和0.176TW。 本文还利用卫星资料对南海潮汐进行了研究,在中国南海,获得了主要的半日潮、全日潮、四分日分潮和长周期分潮(M2,S2,N2,K2,K1,O1,P1,Q1,M4, MS4,Sa, Ssa)的经验同潮图。与南海沿岸94个地面验潮站的数据符合得比较好,M2,S2,K1及O1等4个主要分潮的平均振幅差为2~4 cm,均方根偏差分别是9~11 cm.其它4个主要分潮N2,K2,P1,Q1的平均振幅差为1~2 cm,均方根偏差为2~4 cm。此外,本文还利用卫星高度计资料潮汐分析结果沿卫星轨道进行高通滤波,分离得出中国近海的M2,S2,K1及O1分潮的内潮信息。

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Based on the data of wind from 11 meteorological observation stations in recent 40 years, the paper analyzed the temporal and spatial distribution characteristics of resultant drift potential in the Badain Jaran Desert. The 84 sand samples were collected and analysed from three compound crescentic dunes developped on southeast part of The Badain Jaran Desert. Through the statistics and computation of wind data and the analysis of Grain Size over compound crescentic dunes in The Badain Jaran Desert, this paper analyzed the characteristics of the blown sand activities in in this area. The following viewpoints were obtained: 1 Most parts of The Badain Jaran Desert are dominated by northwest wind and sub-dominated by west wind, while prevailing wind in southeast part of The Badain Jaran Desert is southeast, different froms other places. 2 The Badain Jaran Desert is strongly zoned from its surounding meteorological observation stations. It has impressively high DP and RDP value. Except for Ding Xin Station in medium wind power environment, the left stations are all belongs to high wind-power districts. 3 From the seventies till now, the value of DP and RDP in The Badain Jaran Desert shows a decending trend except for the RDP value of Guai Zihu Station in the north. This trend indicates that the wind power for the moment of The Badain Jaran Desert is far lower than it in the seventies. 4 Adopting sand rose map for classification of wind environments in defferent parts of The Badain Jaran Desert, Ejinaqi is Narrow unimodal wind regimes, Ding xin, Bayinmaodao and Ayouqi districts obtuse bimodal and Guaizihu complex. 5 Resultant drift directions in most parts of the Badain Jaran desert are southeast, which indicates annual net sand in these areas drifted from the northwest to the southeast of the desert, which consists with the analysis results of grain size of predecessors. RDD in Ayouqi staion shows the net sand drifted from the southeast to the northwest in the recent 40 years, which may attribute to the reason that, the Badain Jaran desert lies in the zone influenced by both northwest and southeast wind, the southeast monsoon was strengthened and northwest wind became weaker than a former time. So, if sand mareria is sufficient, there are two different drift directions, namely two sorts of sand source, existed in Badain Jaran desert at least. 6 Based on analysis results of meteorologic data and grain size, blown sand activities is that, in most parts of Badain Jaran desert in the past 40 years, northwest wind transported net sand from the northwest part to the southeast part of The Badain Jaran Desert.And besides this, analysis of collected sand samples also shows that, in the southeast part of Badain Jaran desert, grain size do fined from southeast to northwest. Combining results of meteorologic data in the southeast part, it can infered that southeast monsoon took blown sand to the inner desert from its southeast part.