1. The Virtual Space weather Applications Network of Tools – ViSpaNeT - A Virtual Observatory for SWE data and model assets P. Beltrami Karlezi etamax space GmbHp.beltrami@etamax.dep.beltrami@etamax.de Philipp Hakeetamax space GmbH p.hake@etamax.dep.hake@etamax.de Michel Gangloff Université Paul Sabatier Michel.Gangloff@cesr.frMichel.Gangloff@cesr.fr Didier LazaroONERA, Didier.Lazaro@onera.frDidier.Lazaro@onera.fr Daniel HeynderickxDH Consultancy DHConsultancy@skynet.beDHConsultancy@skynet.be Peter Wintoft IRF peter@lund.irf.sepeter@lund.irf.se Sebastian Bourdarie ONERASebastian.Bourdarie@onera.frSebastian.Bourdarie@onera.fr Christian Jacquey Université Paul Sabatier Christian Jacquey @cesr.frChristian Jacquey @cesr.fr Alain HilgersESA/ESTECalain.hilgers@esa.intalain.hilgers@esa.int ESA/ESTEC contract 22539/09/NL/AT

2. Overview Introduction –Study Objectives –Project Team Initial tasks –Use Cases Design –Approach –Architecture –Possible data and model nodes Schedule & Perpectives 18th November 2010ViSpaNeT2

3. Study Objectives Provide user-tailored centralized access to distributed: –real-time and historical space environment data –outputs from numerical models of the space environment –provide a system for chaining these data and models Develop a distributed system demonstrator, allowing coupling of these products in order to provide warnings of a sub-set of space weather hazards for space systems Develop a prototype environment (ViSpaNeT) with focus on technology demonstration for space weather service provision Develop a policy/approach for distributed processing in line with the concept of a virtual observatory 18th November 2010ViSpaNeT3

4. 18th November 2010ViSpaNeT4 Study Team InstitutionRole(s)Node(s) etamax space Project management Software development specialist SWENET CDPP/UPS Virtual Observatory specialist CDPP/AMDA DHC Space Weather Data and modelling specialist Interplanetary Energetic Particles Spacecraft Effects Models Point of contact COST Action Items, SWWT ODI DHC Server DLR-Institute of Space Systems Coordinator or User Input Contact to G-SOC Operators GMDN IRF Space Weather Modelling specialist Near Earth Solar wind and related Spacecraft Effects SAAPS ONERA Space Weather data and Modelling specialist Expert in Radiation Belts Spacecraft Effects IPSAT Salammbo Solenix Point of contact ESOC mission teams SEIS/SEISOP

5. Initial project tasks User survey performed including a number of “Premium users” –The results synthesised into user requirements Review of existing data and models Review of VO Technologies User Requirements where traced to possible data and model nodes –Identify data and model workflows 18th November 2010ViSpaNeT5 User Allianz Insurances Astrium Satellites BISA Danish SME DLR Cologne DLR Institute of Space Systems ESOC Mission Team GSOC OHB Systems Swedish Space Corp. - Esrange Space Center Universidad de Alcala Universidad de Lull Verhaert Space

6. Overall description VisPaNeT has three main functions : –Run models remotely on request with data chosen by the user –Run workflows providing alerts –Search and get space weather data from remote servers 26 use cases established describing user interaction –User input parameters –Data input from external nodes –Model workflow 18th November 20106ViSpaNeT

7. UC 12 -- Forecast of geomagnetic storms

8. Use Case List 18th November 2010ViSpaNeT8 Use Case NumberUse Case Title UC1Post Event Analysis: Total Ionising Dose UC2Post Event Analysis : Solar Cell Degradation UC3Post Event Analysis : Single Event Effects UC4Post Event Analysis : deep electric charging UC5Forecast of internal charging anomaly at geostationary orbit UC6Forecast of surface charging anomaly at geostationary orbit UC7Alerts on deep dielectric charging at geostationary orbit UC8Post Event Analysis : Surface charging UC9Real time monitoring of Solar X-ray. UC10Real time monitoring of Solar UV UC11Real time monitoring of Radio flux. UC12Forecast of Geomagnetic storms UC13Forecast of solar wind velocity UC14Forecast of solar wind parameters UC15Real time monitoring of solar wind parameters UC16Analysis of solar wind parameters UC17Nowcast of trapped electron population. UC18Prediction of solar proton population UC19Nowcast of solar proton population. UC20Prediction of galactic cosmic ray, energy ranging from 0.1 to 1000 GeV. UC21Nowcast of solar activity UC22Nowcast of ionospheric activity UC23Alerts on Solar X-ray UC24Alerts on user-defined solar wind parameter thresholds UC25Post Event Analysis: Solar wind events UC26CMEs by Galactic Cosmic Ray, CR Wind

9. Vispanet Architecture A Central Node provides –The user interface –User administration –Data Registry (SPASE Compliant) –Model Registry –Automated runs for alert generation Remote Nodes must provide a standardised interface for connection with the central node –Interface according to VO Tables –Description for data registry compatible with SPASE –Description for model registry 18th November 2010ViSpaNeT9

10. Overview of ViSpaNeT Nodes 18th November 2010ViSpaNeT10 Asset / ProviderType DHC server Model Node SAAPS Model Node RWC-Sweden Model Node ONERA Server Model Node CDPP/AMDA Model Node ODI Data Node SWENET Data Node GMDN Data Node

11. Overall Architecture 18th November 201011ViSpaNeT SPASE VOTable Detailed description of every model

12. VisPaNet is designed according to VO standards VisPaNeT architecture is distributed Designed according to SOA (Service Oriented Architecture) Data and models nodes must provide SOAP Web services to access their data and execute their models Providers (nodes) must provide a description of their assets Description must be compatible with the SPASE Model for data. Stored in a Central Registry (Central Node) The Central Node exchange data with remote nodes in VOTable format 18th November 2010ViSpaNeT12

13. SPASE & VOTable SPASE: Space Physics Archive Search and Extract –It is a model to describe solar and space physics data –In ViSpaNet, SPASE is used to provide semantic interoperability in the distributed system –It was originally created by the Heliophysics scientific community VOTable is a format for tabular data –International Virtual Observatory Alliance (IVOA) standard –Results from data and model nodes will be exchanged using this format 18th November 2010ViSpaNeT13

14. Outlook & Perspectives PDR/CDR concluded in early November 2010 –Agreed on use cases to be implemented –Presented architecture design –Discussed node interfaces Next Phase: Implementation –Establish model ICDs –Implement central node –Implement Node interfaces 18th November 201014ViSpaNeT

15. Summary ViSpaNeT will provide a demonstrator for a distributed system for accessing data and models Use cases were established detailing model and data interaction The approach will follow Virtual observatory paradigm using SPASE ontology and VOTable interfaces A central node provides the user interface and connects remotely distributed data and models Standardised interface specifications allows flexibility for exchanging information between nodes The systems provides flexibility in exchanging data or model providers, concentrating on the functionality Design has been completed and a prototype will be implemented in the course of 2011 18th November 201015ViSpaNeT

16. 18th November 2010ViSpaNeT16 etamax space GmbH Frankfurter Straße 3 d D-38122 Braunschweig Tel +49 (0)531.866688.0 Fax +49 (0)531.866688.99 www.etamax.de Email info@etamax.de

17. Prototype – Use Case 12 Use Case 12, “Forecast of Geomagnetic Storms” Model from RWC-Sweden (Lund-Dst, Lund-Kp) Data from SWENET: –Magnetic field component Bz –Particle density n –Velocity V Output: 1 hour Dst forecast, 3 hour Kp forecast 2010-11-02Progress Meeting 2 17 18th November 201017ViSpaNeT

18. SPASE DATA MODEL The SPASE Data Model provides enough detail to allow a scientist to understand the content of Data Products (e.g. a set of files for 3 second resolution Geotail vector magnetic field data for 1995 to 2002) together with essential retrieval and contact information. A key resource type in the SPASE model is Numerical Data which consists of a set of files containing sequential values of one or more physical variables, which often have internal vector and/or spectral structure. Numerical Data are often presented in images( gif or jpeg) and are refered to as Display Data. Catalogs are lists of events. Granule describes individual files within Catalogs, Numerical or Display data. 18th November 201018ViSpaNeT