Using a Model MAP to prepare hydro-meteorological models for generic use

Structured environments for executing environmental numerical models are becoming increasingly common, typically including functions for discovering models, running and integrating them. As these environments proliferate and mature, a set of topics is emerging as common ground between them. This paper abstracts common characteristics from leading integrated modelling technologies and derives a generic framework, characterised as a Model MAP - Metadata (including documentation and licence), Adaptors (to common standards) and Portability (of model components). The idea is to form a gateway concept consisting of a checklist of elements which must be in place before a numerical model is offered for interoperability in a structured environment and at a level of abstraction suitable to support environmental model interoperability in general. Following comparison to the Component-Based Water Resource Model Ontology, the Model MAP is applied to DRIHM, an?hydro-meteorological research infrastructure, as the initial use case and more generic aspects are also discussed. A gateway set of requirements for legacy environmental model interoperability.A route towards legacy environmental model standardisation.Comparison to the Component-Based Water Resource Model Ontology.Application of the Model MAP for a?hydro-meteorological model eInfrastructure.Applying the Model MAP to WRF-ARW and an OpenMI composition.

[1]  Javier Nogueras-Iso,et al.  Metadata standard interoperability: application in the geographic information domain , 2004, Comput. Environ. Urban Syst..

[2]  J. Goodall,et al.  An ontology for component‐based models of water resource systems , 2013 .

[3]  Gene Whelan,et al.  Design of a component-based integrated environmental modeling framework , 2014, Environ. Model. Softw..

[4]  Andrea Emilio Rizzoli,et al.  Ontology for Seamless Integration of Agricultural Data and Models , 2009, MTSR.

[5]  Quillon Harpham,et al.  Towards standard metadata to support models and interfaces in a hydro-meteorological model chain , 2015 .

[6]  N. Rebora,et al.  Analysis and hindcast simulations of an extreme rainfall event in the Mediterranean area: The Genoa 2011 case , 2014 .

[7]  Daniel M. Germán,et al.  License integration patterns: Addressing license mismatches in component-based development , 2009, 2009 IEEE 31st International Conference on Software Engineering.

[8]  Quillon Harpham,et al.  The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research , 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.

[9]  Scott D. Peckham,et al.  A component-based approach to integrated modeling in the geosciences: The design of CSDMS , 2013, Comput. Geosci..

[10]  William K. Michener,et al.  Meta-information concepts for ecological data management , 2006, Ecol. Informatics.

[11]  Luis Garrote,et al.  A distributed model for real-time flood forecasting using digital elevation models , 1995 .

[12]  Pebesma Edzer,et al.  Managing uncertainty in integrated environmental modelling frameworks: The UncertWeb framework , 2012 .

[13]  Jeffery S. Horsburgh,et al.  Development of a Community Hydrologic Information System , 2009 .

[14]  Thomas Whitenack,et al.  Exploring Environmental Model Catalogs , 2014 .

[15]  Stefano Nativi,et al.  Environmental model access and interoperability: The GEO Model Web initiative , 2013, Environ. Model. Softw..

[16]  I. H. Townend,et al.  From integration to fusion: the challenges ahead , 2014, Special Publications.

[17]  Robert M. Argent,et al.  An overview of model integration for environmental applications--components, frameworks and semantics , 2004, Environ. Model. Softw..

[18]  Andreas Tolk,et al.  The levels of conceptual interoperability model: applying systems engineering principles to M&S , 2009, SpringSim '09.

[19]  Franco Siccardi,et al.  Extreme Rainfall in the Mediterranean: What Can We Learn from Observations? , 2013 .

[20]  Dan Cornford,et al.  Managing uncertainty in integrated environmental modelling: The UncertWeb framework , 2013, Environ. Model. Softw..

[21]  Scott D. Peckham.  The CSDMS Standard Names: Cross-Domain Naming Conventions for Describing Process Models, Data Sets and Their Associated Variables , 2014 .

[22]  Scott D. Peckham,et al.  Driving plug-and-play models with data from web services: A demonstration of interoperability between CSDMS and CUAHSI-HIS , 2013, Comput. Geosci..

[23]  Quillon Harpham,et al.  The FluidEarth 2 implementation of OpenMI 2.0 , 2014 .

[24]  John A. Kunze,et al.  Dublin Core Metadata for Resource Discovery , 1998, RFC.

[25]  Quillon Harpham,et al.  Setting Up an Hydro-Meteo Experiment in Minutes: The DRIHM e-Infrastructure for HM Research , 2014, 2014 IEEE 10th International Conference on e-Science.

[26]  Cecelia DeLuca,et al.  Earth system curator: metadata infrastructure for climate modeling , 2008, Earth Sci. Informatics.

[27]  Roberto Rudari,et al.  A hydrological analysis of the 4 November 2011 event in Genoa , 2012 .

[28]  K O'Neill.  A specialised metadata approach to discovery and use of data in the NERC DataGrid , 2004 .