共查询到20条相似文献，搜索用时 93 毫秒
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文章着重阐述了气候资料数据管理技术的定义和重要性，介绍了气候资料存储内容、气候资料数据压缩方法和各种资料标准记录格式、气候资料存储系统以及数据检索方法。 相似文献
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以广西88站稳定通过10℃起止日积温为例，采用回归分析方法，建立地理因素影响气候要素的气候方程，并结合Gr-ADS提供的数据处理及图形绘制功能，对余差项进行格点插值，最终求得小网络分析气候资料，并绘制气候分布图。 相似文献
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气候图形是气候信息服务的一种比较直观、常用的服务方式。随着气候资料信息化及气候资料数据库的建设，有许多气候信息及气候分析产品需用图形方式提供服务。但长期以来因缺乏针对气候图形分析与编辑技术需求开发的软件，气候图形制作的效率低、自动化水平不高。而且，在我国有关省级 相似文献
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NCEP/NCAR再分析温度资料在农业气象中的应用可行性 总被引：3，自引：1，他引：3
为探讨NCEP/NCAR再分析温度网格资料在农业气象研究中的应用价值,以北京、南京、广州、昆明、郑州和三亚6个气象台站的实测地面气象资料为依据,证明了NCEP/NCAR再分析温度网格资料的可靠性。进一步用Cressman插值、双线性二次插值、抛物线二次插值以及先抛物线插值后线性插值等4种插值方法,用NCEP/NCAR再分析温度网格资料对上述6站的地面日平均气温进行了插值计算,并对不同插值方法的结果作了比较。结果表明,站点纬度较高时(30°N以北),应用双线性二次内插法插值效果较好,精度略低;站点纬度较低时(30°N以南),应用Cressman插值法插值效果好,精度也高。这可能是较高纬度缺测资料较多造成的。利用NCEP/NCAR再分析网格温度插值资料分析两系法杂交水稻在泰国的制种气候适应性证明该资料在农业气象研究中是可以应用的。 相似文献
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介绍了Excel中常用分布函数FDIST、FINV、CHIDIDT、CHINV、TDIST、TNV及其在统计分析中的应用方法，既解决了查表方法中插值的繁琐、不能准确检验的难题，又克服了编程计算的麻烦，这种方法非常适合在气候统计分析中应用。 相似文献
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气候多层次的趋势预报 总被引：11，自引：0，他引：11
论述了子波气候诊断中的边界效应和非周期性对趋势预报的影响，在消除子波变换边界效应基础上，将气候层次理论和子波诊断技术相结合，提出了气候多层趋势预报法则和评判标准，最后利用若干气候资料进行了多层次趋势预报，试验表明，相似延伸法能有效地消除边界效应，提出了气候多层次趋势预报法是可行的。 相似文献
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气候因子对烤烟质量的影响 总被引：1，自引：0，他引：1
根据襄城县33年烤烟和气候资料．采用数理统计方法和微机技术．求出烤烟气候质量．并从气候质量与气候因子的单相关中筛选出相关显著为气候因子，给出了烤烟质量气候指标．分析了重要气候因子对烤烟质量的影响。 相似文献
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Addressing the difficulties of scattered and sparse observational data in ocean science,a new interpolation technique based on information diffusion is proposed in this paper.Based on a fuzzy mapping idea,sparse data samples are diffused and mapped into corresponding fuzzy sets in the form of probability in an interpolation ellipse model.To avoid the shortcoming of normal diffusion function on the asymmetric structure,a kind of asymmetric information diffusion function is developed and a corresponding algorithm-ellipse model for diffusion of asymmetric information is established.Through interpolation experiments and contrast analysis of the sea surface temperature data with ARGO data,the rationality and validity of the ellipse model are assessed. 相似文献
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观测资料的四维质量控制:变分法 总被引：7，自引：1，他引：7
利用四维变分资料同化技术，定义了观测资料的误差均差比，并在理论上初步探讨了利用误差均差比来判断资料中重大误差（ｇｒｏｓｓｅｒｒｏｒ）的合理性。利用简单的Ｌｏｒｅｎｚ模式进行了一些数值试验，以检验质量控制方案。 相似文献
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如何把离散的气象台站资料通过合适的空间内插方法转变成规则的网格数据,对于气候变化分析和模拟研究具有重要的意义.作者利用中国区域160个常用台站10年降水观测资料为例,分别采用克里格(Kriging)插值、反距离加权、Delaunay三角剖分线性插值、双谐样条(Biharmonic Spline)插值和Cressman客观分析等几种常见的空间内插方法,较为系统地分析和比较了这几种内插方法插值结果之间的异同,对其优缺点和适用范围进行了适当讨论,并采用不同的网格分辨率和影响半径对Cressman客观分析方法做了进一步分析比较.结果表明:在台站分布密集的区域不同空间内插方法之间差异较小,在台站分布稀疏的区域则差异较大;与更加密集的台站观测资料的比较显示,自动调节影响半径的Cressman客观分析方法与双谐样条插值方法误差相对较小. 相似文献
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针对GRAPES(Global/Regional Assimilation and Prediction System)模式三维变分系统高层背景场温湿廓线外推方案的局限性,提出以气候垂直廓线重新构造高层温湿垂直结构,以减小外推方案的偏差。首先采用一维变分同化系统,展开模拟实验:分析目前模式中使用的外推方案误差及其对反演结果的影响,利用高层大气气候廓线构造垂直结构并分析同化偏差。最后,运用GRAPES全球分析预报系统进行同化实验并分析改进程度。结果显示:模拟研究表明采用高层背景场温湿廓线外推方案与实际观测相比最大偏差在1 h Pa附近可达数十度以上,不仅影响平流层,而且对对流层也有影响;用气候温度数据修正GRAPES高层温度数据,可以减少50%以上的偏差,证明了用气候值高层数据优化现行GRAPES模式中同化系统高层插值方案的可行性。全球GRAPES三维变分同化试验结果显示,改进方案不仅显著的改善平流层分析质量,对对流层中高层也有改进。 相似文献
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Abstract The authors studied the error of spatial interpolation in the context of a climatic data gridding project (Cli‐Grid). Four objective analysis (QA) techniques were implemented: the empirical techniques of Barnes, Cressman and Shepard, and a Gandin‐based statistical technique. These were applied to the interpolation of irregularly distributed daily rainfall data. Spatial resolution of the interpolated arrays was 0.05 degree of latitude by 0.05 degree of longitude. In this experiment, radar rainfall patterns served as reference data for evaluations of O A techniques. Each reference pattern was sampled at the irregularly spaced locations of a climatic rain‐gauge network. The sampled data were then input to one of the four OA techniques. The resulting analysis was subtracted from the corresponding reference pattern. Absolute values of the differences were recorded. This sampling‐to‐difference cycle was repeated with 63 reference patterns. Every map of absolute differences was summed. The resulting map of total errors was normalized by the sum of the reference patterns. Average bias, average RMS error and averages of the ratios of the standard deviations were also computed. All four OA techniques were evaluated separately. The authors recognized that totally unbiased intercomparisons were not possible because of the range in execution parameters for each OA technique. Reasonable efforts were made to minimize subjectivity in the setting of parameters. For application to the specific project grid, the statistical optimal interpolation technique displayed the lowest RMS errors. This technique and Shepard OA, were found more suitable than the other two techniques studied. Statistical and Barnes OA displayed zero average bias and would be useful for areal average computations. The Cressman OA was judged least suitable for interpolation of daily rainfall. An application of the two‐dimensional error maps to network analysis was demonstrated by plotting the relationship between interpolation errors and distance (D) from the closest station. Error increased as D1/2. It was also verified that error and station density were inversely related. 相似文献
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专用气候数据空间插值软件ANUSPLIN及其应用 总被引：27，自引：0，他引：27
空间化的气候数据作为环境因子参数是区域气候模型和地学模型的基础,而插值软件是实现气候观测点数据空间化的工具.ANUSPLIN基于薄盘样条函数理论,引入多个影响因子作为协变量进行气象要素空间插值,大大提高插值精度,且能同时进行多个表面的空间插值,对时间序列的气象要素更加适合. 相似文献
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以东北春大豆为研究对象,分早熟、中熟和晚熟3类熟型构建东北春大豆气候区划指标。利用基于模糊数学的区划指标隶属度函数和作物反应函数两种气候适宜度评价方法,结合精细化插值（Anusplin插值）后的东北地区1990—2019年气象数据,从时间、空间（1 km×1 km农田）和熟型开展东北春大豆精细化气候区划。结果表明:8月平均温度、5—9月累积降水量和7月累积日照时数是影响春大豆相对气象产量的主要气象要素。分熟型的气候区划结果在表达春大豆单产分布和产量稳定性方面优于不分熟型。根据气候适宜度和减产率的定量关系将适宜度评价结果分为最适宜、适宜、次适宜、不适宜4个等级,其中东北地区最适宜春大豆种植的区域主要集中在松嫩平原的北部和三江平原中南部。随着气候变暖,适宜春大豆种植区域向高纬度和高海拔地区扩大。 相似文献
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Summary In this study, spatial interpolation techniques have been applied to develop an objective climatic cartography of precipitation
in the Iberian Peninsula (583,551 km2). The resulting maps have a 200 m spatial resolution and a monthly temporal resolution. Multiple regression, combined with
a residual correction method, has been used to interpolate the observed data collected from the meteorological stations. This
method is attractive as it takes into account geographic information (independent variables) to interpolate the climatic data
(dependent variable). Several models have been developed using different independent variables, applying several interpolation
techniques and grouping the observed data into different subsets (drainage basin models) or into a single set (global model).
Each map is provided with its associated accuracy, which is obtained through a simple regression between independent observed
data and predicted values. This validation has shown that the most accurate results are obtained when using the global model
with multiple regression mixed with the splines interpolation of the residuals. In this optimum case, the average R
2 (mean of all the months) is 0.85. The entire process has been implemented in a GIS (Geographic Information System) which
has greatly facilitated the filtering, querying, mapping and distributing of the final cartography. 相似文献