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A web interface for griding arbitrarily distributed in situ data based on Data-Interpolating Variational Analysis (DIVA)

机译:Web界面,用于基于数据插值变异分析(DIVA)对任意分布的原位数据进行网格化

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摘要

Spatial interpolation of observations on a regular grid is a common task in manyoceanographic disciplines (and geosciences in general). It is often used to create climatological maps for physical,biological or chemical parameters representing e.g. monthly or seasonally averaged fields. Since instantaneous observationscan not be directly related to a field representing an average, simple spatial interpolation of observations is in generalnot acceptable. DIVA (Data-Interpolating Variational Analysis) is an analysis tool which takes the error in theobservations and the typical spatial scale of the underlying field into account. Barriers due to the coastlineand the topography in general and also currents estimates (if available) are used to propagate the informationof a given observation spatially.DIVA is a command-line driven application written in Fortran andShell Scripts. To make DIVA easier to use, a web interface has been developed(). Installation and compilation of DIVA is therefore not required.The user can directly upload the data in ASCII format and enter several parameters for the analysis.The analyzed field, location of the observations, and the error mask are presented as differentlayers using the Web Map Service protocol. They are visualized in the browser using the Javascriptlibrary OpenLayers allowing the user to interact with layers (for example zooming and panning). Finally,the results can be downloaded as a NetCDF file, Matlab/Octave file and Keyhole Markup Language (KML)file for visualization in applications such as Google Earth.
机译:在许多海洋学学科(以及一般的地球科学)中,对规则网格上的观测值进行空间插值是一项常见的任务。它通常用于为代表例如自然界的物理,生物或化学参数创建气候图。每月或季节性平均字段。由于瞬时观察可能与表示平均值的字段不直接相关,因此通常不接受对观察值进行简单的空间插值。 DIVA(数据插值变分分析)是一种分析工具,它考虑了观测中的误差和基础场的典型空间尺度。通常使用海岸线和地形造成的障碍以及当前的估算值(如果可用)在空间上传播给定观测值的信息。DIVA是用Fortran和Shell Script编写的命令行驱动的应用程序。为了使DIVA易于使用,已开发了一个Web界面。因此不需要安装和编译DIVA,用户可以直接以ASCII格式上载数据并输入多个参数进行分析。使用Web Map Service将分析的字段,观测值的位置和错误掩码显示为不同的层协议。它们使用Javascriptlibrary OpenLayer在浏览器中可视化,允许用户与图层进行交互(例如缩放和平移)。最后,可以将结果下载为NetCDF文件,Matlab / Octave文件和Keyhole标记语言(KML)文件,以在诸如Google Earth的应用程序中进行可视化。

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