The ESPAS e-infrastructure:

Description

ESPAS provides an e-Infrastructure to support access to a wide range of archived observations and model derived data for the near-Earth space environment, extending from the Earth's middle atmosphere up to the outer radiation belts. To this end, ESPAS will serve as a central access hub for researchers who wish to exploit multi-instrument multipoint data for scientific discovery, model development and validation, and data assimilation, among others. Observation based and model enhanced scientific understanding of the physical state of the Earth's space environment and its evolution is critical to advancing space weather and space climate studies, two very active branches of current scientific research.

ESPAS offers an interoperable data infrastructure that enables users to find, access, and exploit near-Earth space environment observations from ground-based and spaceborne instruments and data from relevant models, obtained from distributed repositories. In order to facilitate efficient user queries ESPAS allows a highly flexible workflow scheme to select and request the desired data sets.

ESPAS has the strategic goal of making Europe a leading player in the efficient use and dissemination of near-Earth space environment information offered by institutions, laboratories and research teams in Europe and worldwide, that are active in collecting, processing and distributing scientific data. Therefore, ESPAS is committed to support and foster new data providers who wish to promote the easy use of their data and models by the research community via a central access framework. ESPAS is open to all potential users interested in near-Earth space environment data, including those who are active in basic scientific research, technical or operational development and commercial applications.

Sujets

• Sciences expérimentales
• Astronomie et astrophysique
• Astronomie
• Astrophysique
• Sciences et techniques
• Astrophysics
• Physics
• Science
• Physique
• Physical attractiveness

Informations

• Publié par: EDP Sciences
• Date de parution: 06 avril 2017
• Nombre de lectures: 0
• EAN13: 9782759819492
• Langue: English
• Poids de l'ouvrage: 35 Mo

Extrait

The ESPAS e-infrastructure: Access to data from near-Earth space

This work is published in open access under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://www.edp-open.org ISBN 978-2-7598-1949-2 DOI: 10.1051/978-2-7598-1949-2 © EDP Science, 2017 – www.edpsciences.org

Acknowledgements

The ESPAS project is funded through EU-FP7 under grant agreement 283676. The publication of the ESPAS e-book is co-funded by the OpenAIRE FP7 post-grant Open Access Pilot and the National Observatory of Athens. Authors are grateful to the "Laboratorio grafica & immagini" of the Istituto Nazionale di Geofisica e Vulcanologia for its precious work in designing the ESPAS corporate material and logo.

Contents

1. Introduction

A. Belehaki and the ESPAS consortium ........................................................ 1 2. Space physics ontology for ESPAS I. Galkin and A. Belehaki .............................................................................. 5

3. ESPAS observation collections

M. Hapgood and A. Belehaki ...................................................................... 11 Appendix to chapter 3 .................................................................................. 17

3.1 Fabry-Pérot interferometer and CMAT2 model

P. Guio, A. Aruliah, A. Aylward, A. Bushell and E. Henley ....................... 29 3.2 Cluster and DEMETER satellite data in ESPAS

F. Darrouzet, J. De Keyser and P. Décréau .................................................. 47 3.3 Calibrated and corrected POES/MEPED energetic particle observations

T. Asikainen ................................................................................................. 57

vi THE ESPAS E-INFRASTRUCTURE 3.4 Ground and space based GNSS ionosphere monitoring data in ESPAS J. Berdermann, M. Hoque, M. Kriegel and N. Jakowski for the ESPAS consortium ................................................ 71

3.5. Ground base ionospheric radio sounding: Basic principles and application B. Zolesi ....................................................................................................... 79

3.6 Ionospheric modeling results in ESPAS

I. Tsagouri .................................................................................................... 91 3.7. Ionospheric data assimilation in ESPAS

M.J. Angling, S. Elvidge, N. Jackson-Booth and R.W. Penney................. 103 3.8. Incoherent and coherent scatter radars I. Häggström ............................................................................................... 117

4. ESPAS interoperability

A. Belehaki, N. Manola and M. Hapgood .................................................. 127 4.1 The ESPAS data model

S. James, S. Ventouras and A. Charisi ....................................................... 129 Appendix to chapter 4.1 ............................................................................. 135

4.2 ESPAS Services

Contents

vii

A. Charisi, A. Lebesis and N. Manola........................................................ 137 5. ESPAS functionalities for the end-user

A. Belehaki, A. Charisi, S. James, M. Hapgood, S. Ventouras, I. Galkin, A. Lembesis and J. Berdermann................................................ 141 5.1How to access data through ESPAS

I. Tsagouri, A. Charisi and F. Darrouzet .................................................... 149 6. Summary

M. Hapgood, A. Belehaki and the ESPAS consortium .............................. 163

1. Introduction 1 2 Anna Belehaki and the ESPAS consortium 1. National Observatory of Athens, Greece 2. https://www.espas-fp7.eu/trac/wiki/PublicPages/ESPASConsortium Νear-Earth space is the region that extends from the middle atmosphere up to the outer radiation belts. This region is of significant interest because of its potentially undesired effects on human life and on technological systems, whose understanding, modeling and prediction require continuous scientific exploration and advances. Consequently, a number of observing systems have been set up to acquire observations from the near-Earth space, producing a wealth of diverse types of data which still need to be homogenized and organized in order to become widely accessible. The exploitation of multi-instrument data from a large number of distributed observing sites is the requirement for accurate predictions of the near-Earth space environment. As the near-Earth space is part of the complex Sun-Earth system, supporting data from the Sun, the interplanetary medium but also from the upper and lower layers of the atmosphere, are needed to drive near-Earth prediction models. In space physics, predictions are made via physical, semi-empirical or empirical models. The models are fed with actually observed properties (e.g., measured solar wind speed and density) or with typical values for specific environmental properties (e.g., average speed and densityof the slow solar wind duringsolar minimum), and the model output provides values which can be compared to otherproperties derived from observations (e.g., local orglobalgeomagnetic activity index). A comprehensive comparison between model results and observed data enables the community to distinguish between models with good and with poor performance under certain geophysical conditions. Space physics models with good predictive capabilities may be used to forecast accurately the state of the space environment and to enable the end user communities to mitigate the effects of major disturbances on humans and technological systems. Results obtained from model runs depend to a large extent on the boundary conditions. Sometimes the problem can be solved by specifying boundary conditions over the entire globe and running the model on a global scale. However, specification of global boundary conditions requires data from many observational sites. Ionospheric total electron content (TEC) maps are a typical example for the dependency of maps on global data coverage in order to be realistic. This specific need has led the space science community to work intensively for the development of systems that can facilitate data discovery and processing. •TheInter-university Upper atmosphere Global Observation NETwork (IUGONET)been implemented by Japanese universities and institutes and has aims at providing new research platforms, metadata database and analysis software tools, to facilitate the use and distribution of the long-term observation data for upper atmospheric physics (Hayashi et al., 2013). In addition to the open