The HD(CP)² Data Warehouse: A Distributed Server System for Standardized Meteorological Data

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*Title:*	Main Title: The HD(CP)² Data Warehouse: A Distributed Server System for Standardized Meteorological Data
*Descriptions:*	Abstract: Central Europe is a region with one of the most comprehensive networks for cloud and precipitation observations worldwide. Unifying these observations to become an ‚easy-to-use‘ data base and make it accessible to the climate community, is one of the goals of D(CP)². Therefore widely scattered observation data have to be organised, ranging from multivariate, long-term observations at dedicated supersites, to short-term area-wide remote sensing observations, up to high resolution satellite data. HD(CP)² has established a structure of distributed data servers with a common web portal as the global entry point. The central administration of these servers is based on a hierarchical data management system called Thematic Realtime Environmental Distributed Data Services (THREDDS) from Unidata, which is also used by the ESGF and the ARM program. To ensure that observation data from the multitude of instrument types can be used in a uniform manner, we have developed the HD(CP)² Data Product Standard. This document describes the binding conventions for the datasets, i.e. file names and formats, variable names and metadata conventions which shall apply to data sets and associated metadata intended for HD(CP)². The data files are provided in NetCDF format, following the principles given in the NetCDF Climate and Forecast (CF) metadata conventions, version 1.6, as far as possible. For the generation of metadata files, encoded in XML, HD(CP)² has developed its own web based Metadata Editor. Series Information: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 95-101
*Identifier:*	10.5880/TR32DB.KGA96.15 (DOI)
*Related Resource:*	Is Part Of 0454-1294 (ISBN)

Responsible Party

*Creators:*	Erasmia Stamnas (Author), Andrea Lammert (Author), Volker Winkelmann (Author), Verena Grützun (Author), Ulrich Lang (Author), Felix Ament (Author)
*Contributors:*	Constanze Curdt (Editor), Christian Willmes (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
*Publisher:*	Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
*Publication Year:*	2016

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Keywords: Data Management, Meteorology, Precipitation, Atmosphere, Research Data

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*Filename:*	Stamnas_et_al_2016_KGA96.pdf
*Data Type:*	Text - Book Section
*Sizes:*	7 Pages 895 Kilobytes
*File Size:*	895 KB
*Date:*	Issued: 29.12.2016
*Mime Type:*	application/pdf
*Language:*	English

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*Download Permission:*	Free
*Licence:*	[Creative Commons] Attribution 4.0 International (CC BY 4.0)

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Metadata Details

*Metadata Creator:*	Tanja Kramm
*Metadata Created:*	12.01.2017
*Metadata Last Updated:*	12.01.2017
*Subproject:*	Z1
*Funding Phase:*	3
*Metadata Language:*	English
*Metadata Version:*	V50

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