Emerging developments in geographic information systems and distributed computing offer a roadmap towards an unprecedented spatial data infrastructure in the climate sciences. Key to this are the standards developments for digital geographic information being led by the International Organisation for Standardisation (ISO) technical committee on geographic information/geomatics (TC211) and the Open Geospatial Consortium (OGC). These, coupled with the evolution of standardised web services for applications on the internet by the World Wide Web Consortium (W3C), mean that opportunities for both new applications and increased interoperability exist. These are exemplified by the ability to construct ISO-compliant data models that expose legacy d...
The project „Collaborative Climate Community Data and Processing Grid – C3Grid“ is one of the commun...
Access to climate and spatial datasets by non-specialists is restricted by technical barriers involv...
The knowledge we gain from research in climate science depends on the generation, dissemination, and...
Abstract: Viewing and manipulating climatic information is useful in many different scientific and s...
End Users of Climate data have nowadays to struggle with accessing the data they need for their rese...
Much consideration is rightly given to the design of metadata models to describe data. At the other ...
Accessibility, availability, re-use and re-distribution of scientific data are prerequisites to bui...
The Climate Science Modelling Language (CSML) has been developed by the NERC DataGrid (NDG) project ...
In November 2016, the Paris Agreement entered into force calling Parties to strengthen their coopera...
Presented at EGU 2020 - Accessing and processing large climate data has nowadays become a particular...
The current energy crisis affects the whole Europe, making cross-border provision of climate data in...
Interoperability standards from the Open Geospatial Consortium (OGC) shape a backbone within the OSG...
Interoperability standards from the Open Geospatial Consortium (OGC) shape a backbone within the OSG...
The need for open science has been recognized by the communities of meteorology and climate science....
Today, scientists use local and closed geospatial solutions to run their models and store their resu...
The project „Collaborative Climate Community Data and Processing Grid – C3Grid“ is one of the commun...
Access to climate and spatial datasets by non-specialists is restricted by technical barriers involv...
The knowledge we gain from research in climate science depends on the generation, dissemination, and...
Abstract: Viewing and manipulating climatic information is useful in many different scientific and s...
End Users of Climate data have nowadays to struggle with accessing the data they need for their rese...
Much consideration is rightly given to the design of metadata models to describe data. At the other ...
Accessibility, availability, re-use and re-distribution of scientific data are prerequisites to bui...
The Climate Science Modelling Language (CSML) has been developed by the NERC DataGrid (NDG) project ...
In November 2016, the Paris Agreement entered into force calling Parties to strengthen their coopera...
Presented at EGU 2020 - Accessing and processing large climate data has nowadays become a particular...
The current energy crisis affects the whole Europe, making cross-border provision of climate data in...
Interoperability standards from the Open Geospatial Consortium (OGC) shape a backbone within the OSG...
Interoperability standards from the Open Geospatial Consortium (OGC) shape a backbone within the OSG...
The need for open science has been recognized by the communities of meteorology and climate science....
Today, scientists use local and closed geospatial solutions to run their models and store their resu...
The project „Collaborative Climate Community Data and Processing Grid – C3Grid“ is one of the commun...
Access to climate and spatial datasets by non-specialists is restricted by technical barriers involv...
The knowledge we gain from research in climate science depends on the generation, dissemination, and...