Intelligent Data Networking for the Earth System Science Community

Earth system science (ESS) research is generally very data intense. To enable detailed discovery and transparent access of the data stored in heterogeneous and organisationally separated data centres common data and metadata community interfaces are needed. This paper describes the development of a coherent data discovery and data access infrastructure for the ESS community in Germany. To comprehensively and consistently describe the characteristics of geographic data, required for their discovery (discovery metadata) and for their usage (use metadata) the ISO standard 19115 is adopted. Webservice technology is used to hide the details of heterogeneous data access mechanisms and preprocessing implementations. The commitment to international standards and the modular character of the approach facilitates the expandability of the infrastructure as well as the interoperability with international partners and other communities

Requirements for a global data infrastructure in support of CMIP6

The World Climate Research Programme (WCRP)’s Working Group on Climate Modelling (WGCM) Infrastructure Panel (WIP) was formed in 2014 in response to the explosive growth in size and complexity of Coupled Model Intercomparison Projects (CMIPs) between CMIP3 (2005–2006) and CMIP5 (2011–2012). This article presents the WIP recommendations for the global data infrastruc- ture needed to support CMIP design, future growth, and evolution. Developed in close coordination with those who build and run the existing infrastructure (the Earth System Grid Federation; ESGF), the recommendations are based on several principles beginning with the need to separate requirements, implementation, and operations. Other im- portant principles include the consideration of the diversity of community needs around data – a data ecosystem – the importance of provenance, the need for automation, and the obligation to measure costs and benefits. This paper concentrates on requirements, recognizing the diversity of communities involved (modelers, analysts, soft- ware developers, and downstream users). Such requirements include the need for scientific reproducibility and account- ability alongside the need to record and track data usage. One key element is to generate a dataset-centric rather than system-centric focus, with an aim to making the infrastruc- ture less prone to systemic failure. With these overarching principles and requirements, the WIP has produced a set of position papers, which are summa- rized in the latter pages of this document. They provide spec- ifications for managing and delivering model output, includ- ing strategies for replication and versioning, licensing, data quality assurance, citation, long-term archiving, and dataset tracking. They also describe a new and more formal approach for specifying what data, and associated metadata, should be saved, which enables future data volumes to be estimated, particularly for well-defined projects such as CMIP6. The paper concludes with a future facing consideration of the global data infrastructure evolution that follows from the blurring of boundaries between climate and weather, and the changing nature of published scientific results in the digital age

EGEE - Intelligent, distributed climate data management

In collaboration with the German C3Grid Project (http://www.c3grid.de) a system has been developed to ease and accelerate climate data workflows. The system is built modular and based on international standards to be expandable by further data sites, partners and disciplines

C3-Grid ein Werkzeug für die Klimaforschung

Scientifical overview of C3Gri

The Data Publication Process at WDCC with the Assistant System Atarrabi

The documentation requirements of data published in long term archives have significantly grown over the last decade. At WDCC the data publishing process is assisted by “Atarrabi”, a web-based workflow system for reviewing and editing metadata information by the data authors and the publication agent. The system ensures high metadata quality for long-term use of the data with persistent identifiers (DOI/URN). By these well-defined references (DOI) credit can properly be given to the data producers in any publication

Untersuchungen zur Festlegung von Parametern fuer die Modellierung der Radonfreisetzung aus bodennahen Flaechenquellen Abschlussbericht

Within the context of atmospheric dispersion modelling of Radon and airborne particles originating from near-surface area sources an appropriate turbulence parameterisation must be provided in order to determine realistically the near-surface airborne pollutant concentration in the vicinity of the emission. This question was investigated by means of wind tunnel experiments combined with numeric dispersion modelling. The calculations were based on commonly used approaches for atmospheric dispersion modelling, i.e. Eulerian model applying vertical diffusion according to mixing length theory; Lagrangian particle model LASAT, Version 2.8; GRS-version of LASAT together with turbulence parameterisation according to VDI 3783/8. For different boundary conditions (flat terrain; neutral stratification; point, line and area source) three-dimensional concentration distributions were computed and compared with corresponding wind tunnel data. The deviations in the concentration calculations reflect the range of common approaches of turbulence parameterisation. Based on the results of the numerical and wind tunnel data as well as for reasons of harmonising the atmospheric dispersion modelling the majority of the participants of the project recommends the application of the model approaches from the amended version of the German Technische Anleitung zur Reinhaltung der Luft (TA-Luft, Technical Instruction on Air Quality Control). (orig.)SIGLEAvailable from TIB Hannover: RO 3190(621) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman