Hydro-NEXRAD: metadata computation and use

Kruger Anton - Krajewski Witold F. - Domaszczynski Piotr - Smith James A.

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Hydro-NEXRAD: metadata computation and use

机译：Hydro-NEXRAD：元数据计算和使用

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To enable the efﬁcient use of the Hydro-NEXRAD system in hydrologic research, the authors arendeveloping and computing a set of metadata. Vast archives of radar-centric NEXRAD data, thenhighly variable spatial and temporal characteristics of precipitation events, and the existence ofnanomalous data complicate the process of selecting subsets of the data for speciﬁc investigation.nWell-deﬁned, pre-computed, radar-centric, basin-centric and point (for a selected set of rainngauge locations) metadata offer the possibility of efﬁciently selecting data subsets that meetnuser-speciﬁed criteria. Metadata have to be computed quickly so that they do not slow down thendata ingest process, but they do not have to be highly accurate. Separating rainfall from clear airnconditions and heavy rainfall from light precipitation is often sufﬁcient. In this paper, the authorsndiscuss the technical challenges of computing metadata for the vast archives of NEXRAD datanand basic data quality control incorporated into that process. Users of Hydro-NEXRAD will be ablento query the database using different criteria based on the metadata or visually inspect the timenseries of the metadata.

机译：为了使Hydro-NEXRAD系统在水文学研究中得到有效利用，作者正在开发和计算一组元数据。大量以雷达为中心的NEXRAD数据档案，然后是降水事件的高度时空特征，以及异常数据的存在使选择用于具体研究的数据子集的过程变得复杂。nWell定义，预先计算，以雷达为中心的盆地以中心为中心和点（对于一组选定的雨量计位置）的元数据提供了有效选择满足用户指定标准的数据子集的可能性。必须快速计算元数据，以便它们不会减慢数据摄取过程的速度，但不必具有很高的准确性。将降雨与晴朗的空气条件分开，将大雨与轻雨条件分开通常是足够的。在本文中，作者讨论了为NEXRAD数据仓库和该过程所包含的基本数据质量控制计算元数据的技术挑战。 Hydro-NEXRAD的用户将能够基于元数据使用不同的标准来查询数据库，或目视检查元数据的时间序列。

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来源
《Journal of Hydroinformatics》 |2011年第2期|p.267-276|共10页
作者
Kruger Anton - Krajewski Witold F. - Domaszczynski Piotr - Smith James A.;
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作者单位

Anton Kruger (corresponding author)Witold F. KrajewskiPiotr DomaszczynskiIIHR - Hydroscience and Engineering,The University of Iowa,Iowa City, IA 52242-1585,USATel.: +1 319 335 5237Fax: +1 319 335 5238E-mail: anton-kruger@uiowa.eduJames A. SmithCivil and Environmental Engineering,Princeton University,Princeton, NJ 08544,USA;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Hydro-NEXRAD, metadata;

机译：Hydro-NEXRAD;元数据;

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1. Hydro-NEXRAD: metadata computation and use [J] . Anton Kruger, Witold F. Krajewski, Piotr Domaszczynski, Journal of Hydroinformatics . 2011,第2期

机译：Hydro-NEXRAD：元数据计算和使用
2. Computational Linguistics For Metadata Building (climb): Using Text Mining For The Automatic Identification, Categorization, And Disambiguation Of Subject Terms For Image Metadata [J] . Judith L. Klavans, Carolyn Sheffield, Eileen Abels, Multimedia Tools and Applications . 2009,第1期

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3. Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata [J] . Jane Greenberg Journal of Data and Information Science . 2017,第3期

机译：大元数据，智能元数据和元数据资本：实现数据科学与元数据之间更大的协同作用
4. Hydro-NEXRAD Metadata Computation and Use [C] . Anton Kruger, Witold F. Krajewski, Piotr Domaszczynski, World environmental and water resources congress . 2007

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5. A Semantic Metadata Enrichment Software Ecosystem (SMESE): Its Prototypes for Digital Libraries, Metadata Enrichments and Assisted Literature Reviews. [D] . Brisebois, Ronald. 2017

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6. AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata [O] . Xiao Liang, Kyle Akers, Ishi Keenum, 2021

机译：Agroseek：环境偏见数据和相关元数据的计算分析系统
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