Argovis: A Web Application for Fast Delivery, Visualization, and Analysis of Argo Data
Argovis: A Web Application for Fast Delivery, Visualization, and Analysis of Argo Data
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Argovis：用于快速交付、可视化和分析 Argo 数据的 Web 应用程序
DOI：
10.1175/jtech-d-19-0041.1
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发表时间：
2019
影响因子：
2.2
通讯作者：
Shen, Samuel S.
中科院分区：
文献类型：
--
作者：
Tucker, Tyler;Giglio, Donata;Scanderbeg, Megan;Shen, Samuel S.
自2000年代中期以来，阿尔戈海洋学观测网络有史以来第一次提供了全球海洋的近实时四维数据。互联网（即，处理200多万份Argo海洋温度、盐度和压力剖面图的“网络”应用程序是一个活跃的开发领域。本文介绍了一种新的和高效的交互式Argo数据可视化和交付Web应用程序名为Argovis，是建立在一个经典的三层设计，包括前端，后端和数据库。这些组件一起允许用户在Argo浮标的世界地图上导航4D数据，并可以选择自定义区域，深度范围和时间段。Argovis的后端以简单的格式向用户发送数据，前端快速呈现网络质量的数字。更高级的应用程序从其他编程环境（如Python、R和MATLAB）查询Argovis。我们的Argovis架构允许专业数据用户为特定应用构建自己的功能，例如为给定时间创建空间网格数据，以及为时空选择进行高级时频分析。Argovis面向科学家和公众，网站上提供了教程和示例，描述了如何使用Argovis数据传输系统-例如，如何绘制一个地区随时间变化的剖面图或监控剖面元数据。
Since the mid-2000s, the Argo oceanographic observational network has provided near-real-time four-dimensional data for the global ocean for the first time in history. Internet (i.e., the “web”) applications that handle the more than two million Argo profiles of ocean temperature, salinity, and pressure are an active area of development. This paper introduces a new and efficient interactive Argo data visualization and delivery web application named Argovis that is built on a classic three-tier design consisting of a front end, back end, and database. Together these components allow users to navigate 4D data on a world map of Argo floats, with the option to select a custom region, depth range, and time period. Argovis’s back end sends data to users in a simple format, and the front end quickly renders web-quality figures. More advanced applications query Argovis from other programming environments, such as Python, R, and MATLAB. Our Argovis architecture allows expert data users to build their own functionality for specific applications, such as the creation of spatially gridded data for a given time and advanced time–frequency analysis for a space–time selection. Argovis is aimed to both scientists and the public, with tutorials and examples available on the website, describing how to use the Argovis data delivery system—for example, how to plot profiles in a region over time or to monitor profile metadata.
气候大数据4D可视化交付：快速Web数据库应用系统
影响因子：
0.6
作者：
J. Pierret;S. Shen
通讯作者：
S. Shen