The METAFOR project: preserving data through metadata standards for climate models and simulations

Climate modeling is a complex process, requiring accurate and complete metadata in order to identify, assess and use climate data stored in digital repositories. The preservation of such data is increasingly important given the development of ever-increasingly complex models to predict the effects of global climate change. The EU METAFOR project has developed a Common Information Model (CIM) to describe climate data and the models and modelling environments that produce this data. There is a wide degree of variability between different climate models and modelling groups. To accommodate this, the CIM has been designed to be highly generic and flexible, with extensibility built in. METAFOR describes the climate modelling process simply as "an activity undertaken using software on computers to produce data." This process has been described as separate UML packages (and, ultimately, XML schemas). This fairly generic structure canbe paired with more specific "controlled vocabularies" in order to restrict the range of valid CIM instances. The CIM will aid digital preservation of climate models as it will provide an accepted standard structure for the model metadata. Tools to write and manage CIM instances, and to allow convenient and powerful searches of CIM databases,. Are also under development. Community buy-in of the CIM has been achieved through a continual process of consultation with the climate modelling community, and through the METAFOR team’s development of a questionnaire that will be used to collect the metadata for the Intergovernmental Panel on Climate Change’s (IPCC) Coupled Model Intercomparison Project Phase 5 (CMIP5) model runs.

Describing Earth system simulations with the Metafor CIM

The Metafor project has developed a common information model (CIM) using the ISO19100 series for- malism to describe numerical experiments carried out by the Earth system modelling community, the models they use, and the simulations that result. Here we describe the mechanism by which the CIM was developed, and its key properties. We introduce the conceptual and application ver- sions and the controlled vocabularies developed in the con- text of supporting the fifth Coupled Model Intercomparison Project (CMIP5). We describe how the CIM has been used in experiments to describe model coupling properties and de- scribe the near term expected evolution of the CIM.

Do children with Williams syndrome have unusual vocabularies?

Aims: The present study investigated whether children with Williams syndrome (WS) produced a higher number of different word roots and low-frequency words in spontaneous speech in a topic controlled setting. Method: A group of children with WS was compared to a group of typically developing children matched for chronological age (CA), and a group of typically developing children matched for receptive language abilities (LA). A further comparison was made between the WS group and a group of children matched for non-verbal abilities (NA). Spontaneous speech was elicited using a narrative task. The data were analysed using three different measures of lexical diversity. The results revealed that the children with WS neither produce a higher number of different word roots nor significantly more low-frequency items in comparison to the CA, LA and NA matched participants. Furthermore, language and non-verbal abilities did not predict the number of different and low frequency words used by the typically developing children, however in the WS group non-verbal abilities predicted the number of low-frequency words and receptive language skills predicted the number of different words produced. It is concluded that individuals with WS do not have unusual vocabularies and that the subdomain of language, lexical semantics, does not seem to be an independent cognitive skill. (c) 2007 Elsevier Ltd. All rights reserved.