scholarly journals The Internet Databases of the World Data Center for Geophysics, Beijing

2007 ◽  
Vol 6 ◽  
pp. S879-S883 ◽  
Author(s):  
Fenglin Peng ◽  
Dan Wang ◽  
Xinbao Zheng ◽  
Lijun Xing ◽  
Keyun Tang ◽  
...  
Keyword(s):  
Data Center ◽  
The Internet ◽  
World Data ◽  
The World ◽  
Internet Databases

The Electronic Geophysical Year (eGY) and the World Data Center System

2008 ◽  
Vol 10 (2) ◽  
pp. 1-4
Author(s):  
D. Clark ◽  
B. Minster ◽  
E. A. Kihn
Keyword(s):  
Data Center ◽  
World Data ◽  
The World

Solar Activity Observations at the World Data Center for Solar–Terrestrial Physics

2019 ◽  
Vol 57 (1) ◽  
pp. 10-13
Author(s):  
N. A. Sergeyeva ◽  
L. P. Zabarinskaya ◽  
V. N. Ishkov ◽  
T. A. Krylova
Keyword(s):  
Solar Activity ◽  
Data Center ◽  
World Data ◽  
The World

scholarly journals Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data

2012 ◽  
Vol 5 (2) ◽  
pp. 781-802 ◽  
Author(s):  
M. Stockhause ◽  
H. Höck ◽  
F. Toussaint ◽  
M. Lautenschlager
Keyword(s):  
Quality Control ◽  
Quality Assessment ◽  
Data Center ◽  
Climate Model ◽  
Assessment Procedure ◽  
Volume Data ◽  
Local Data ◽  
Data Repositories ◽  
World Data ◽  
The World

Abstract. The preservation of data in a high state of quality and suitable for interdisciplinary use is one of the most pressing and challenging current issues in long-term archiving. For high volume data such as climate model data, the data and data replica are no longer stored centrally but distributed over several local data repositories, e.g. the data of the Climate Model Intercomparison Project No. 5 (CMIP5). The most important part of the data is to be published as DOI according to the World Data Center for Climate's (WDCC) application of the DataCite regulations. The integrated part of WDCC's data publication process, the data quality assessment, was adapted to the requirements of a federated data infrastructure. A concept of a distributed and federated quality assessment procedure was developed, in which the work load and responsibility for quality control is shared between the three primary CMIP5 data centers: Program for Climate Model Diagnosis and Intercomparison (PCMDI), British Atmospheric Data Centre (BADC), and WDCC. This distributed quality control concept, its pilot implementation for CMIP5, and first experiences are presented.

scholarly journals Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data

2012 ◽  
Vol 5 (4) ◽  
pp. 1023-1032 ◽  
Author(s):  
M. Stockhause ◽  
H. Höck ◽  
F. Toussaint ◽  
M. Lautenschlager
Keyword(s):  
Quality Control ◽  
Quality Assessment ◽  
Data Center ◽  
Climate Model ◽  
Assessment Procedure ◽  
Data Repositories ◽  
Data Infrastructure ◽  
World Data ◽  
Control Approach ◽  
The World

Abstract. The preservation of data in a high state of quality which is suitable for interdisciplinary use is one of the most pressing and challenging current issues in long-term archiving. For high volume data such as climate model data, the data and data replica are no longer stored centrally but distributed over several local data repositories, e.g. the data of the Climate Model Intercomparison Project Phase 5 (CMIP5). The most important part of the data is to be archived, assigned a DOI, and published according to the World Data Center for Climate's (WDCC) application of the DataCite regulations. The integrated part of WDCC's data publication process, the data quality assessment, was adapted to the requirements of a federated data infrastructure. A concept of a distributed and federated quality assessment procedure was developed, in which the workload and responsibility for quality control is shared between the three primary CMIP5 data centers: Program for Climate Model Diagnosis and Intercomparison (PCMDI), British Atmospheric Data Centre (BADC), and WDCC. This distributed quality control concept, its pilot implementation for CMIP5, and first experiences are presented. The distributed quality control approach is capable of identifying data inconsistencies and to make quality results immediately available for data creators, data users and data infrastructure managers. Continuous publication of new data versions and slow data replication prevents the quality control from check completion. This together with ongoing developments of the data and metadata infrastructure requires adaptations in code and concept of the distributed quality control approach.

scholarly journals Data-Sharing Work of the World Data Center for Geophysics, Beijing

2007 ◽  
Vol 6 ◽  
pp. S404-S407 ◽  
Author(s):  
Fenglin Peng ◽  
Xiaoyang Shen ◽  
Keyun Tang ◽  
Jian Zhang ◽  
Qinghua Huang ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Center ◽  
World Data ◽  
The World

scholarly journals Dashboard for Assessing Data Centers Green Compliance

2013 ◽  
Vol 6 (1) ◽  
pp. 719-726
Author(s):  
Fatemeh Binesh ◽  
Saravanan Muthaiyah
Keyword(s):  
Cloud Computing ◽  
Waste Management ◽  
Data Center ◽  
Data Centers ◽  
Environmental Hazard ◽  
The Internet ◽  
Compliance Level ◽  
The World ◽  
New Research ◽  
Near Future

Abstract: Nowadays, ICT sector activities and in particular Data Centers are known as an important environmental hazard. With the increasing popularity of the Internet and cloud computing, this threat seems to even get worse in the near future. Despite this increasing importance, there is still little have been done about data centers environmental affects and in particular measuring their green compliance level including all three Rs of waste management (Reuse, Reuse and Recycle). This paper tries to introduce a dashboard for evaluating data centers level of green compliance regardless of their tier. However, the dashboard is proposed based on Malaysias data centers condition, it still can be beneficial to data center managers in other parts of the world and researchers to open up new research possibilities.  

The new Sunspot Number: continuing upgrades and possible impacts

2018 ◽  
Vol 13 (S340) ◽  
pp. 17-22 ◽  
Author(s):  
Frédéric Clette ◽  
Laure Lefèvre
Keyword(s):  
Sunspot Number ◽  
Data Center ◽  
Scientific Applications ◽  
Number Series ◽  
Collaborative Process ◽  
World Data ◽  
A Value ◽  
The World ◽  
Group Number ◽  
Flexible Integration

AbstractThe first-ever revision of the sunspot number was released in 2015 by the World Data Center (WDC) SILSO. We describe the main diagnosed corrections to the sunspot and group number series, and also review newly published alternate reconstructions. We show the convergence of the determinations of the 1947 scale jump in the sunspot number around a value of 1.18 for cycle maxima. We also assess new proposed reconstructions of the group number, like the “backbone” and “active-day fraction” methods. No agreement was reached yet for this series.We highlight the main impacts of those recent upgrades on different scientific applications. As this first revision also marks a transition towards a dynamical series open to future improvements, we finally introduce the ongoing collaborative process for preparing the next upgrade (Version 3). From now on, our scientific users must be prepared for a flexible integration of an evolving sunspot number series.

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