J. Space Weather Space Clim.
Volume 1, Number 1, 2011
|Number of page(s)||15|
|Published online||17 August 2011|
Evaluation of the performance of DIAS ionospheric forecasting models
National Observatory of Athens, Institute for Space Applications and Remote Sensing, Metaxa and Vas. Pavlou, 15236 P. Penteli, Greece
* corresponding author: e-mail: firstname.lastname@example.org
Accepted: 30 June 2011
Nowcasting and forecasting ionospheric products and services for the European region are regularly provided since August 2006 through the European Digital upper Atmosphere Server (DIAS, http://dias.space.noa.gr). Currently, DIAS ionospheric forecasts are based on the online implementation of two models: (i) the solar wind driven autoregression model for ionospheric short-term forecast (SWIF), which combines historical and real-time ionospheric observations with solar-wind parameters obtained in real time at the L1 point from NASA ACE spacecraft, and (ii) the geomagnetically correlated autoregression model (GCAM), which is a time series forecasting method driven by a synthetic geomagnetic index. In this paper we investigate the operational ability and the accuracy of both DIAS models carrying out a metrics-based evaluation of their performance under all possible conditions. The analysis was established on the systematic comparison between models’ predictions with actual observations obtained over almost one solar cycle (1998–2007) at four European ionospheric locations (Athens, Chilton, Juliusruh and Rome) and on the comparison of the models’ performance against two simple prediction strategies, the median- and the persistence-based predictions during storm conditions. The results verify operational validity for both models and quantify their prediction accuracy under all possible conditions in support of operational applications but also of comparative studies in assessing or expanding the current ionospheric forecasting capabilities.
Key words: 2447: modeling and forecasting / 2441: ionospheric storms / 2435: ionospheric disturbances / 2431: ionosphere/magnetosphere interactions / 2443: midlatitude ionosphere
© Owned by the authors, Published by EDP Sciences 2011
This is an Open Access article distributed under the terms of creative http://creativecommons.org/licenses/by-nc/3.0/
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.