Space weather studies of IONOLAB group

Autor: Secil Karatay, Cenk Toker, Harun Artuner, Gurhan Bulu, Feza Arikan, Uygar Demir, Umut Sezen, Hakan Tuna, Tamara Gulyaeva, Zbysek Mosna, Orhan Arikan, Esra Erdem
Přispěvatelé: Arıkan, Orhan
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016
DOI: 10.1109/ursiap-rasc.2016.7601365
Popis: Date of Conference: 21-25 August 2016 Conference Name: URSI Asia-Pacific Radio Science Conference, URSI AP-RASC 2016 IONOLAB is an interdisciplinary research group dedicated for handling the challenges of near earth environment on communication, positioning and remote sensing systems. IONOLAB group contributes to the space weather studies by developing state-of-the-art analysis and imaging techniques. On the website of IONOLAB group, www.ionolab.org, four unique space weather services, namely, IONOLAB-TEC, IRI-PLAS-2015, IRI-PLAS-MAP and IRI-PLAS-STEC, are provided in a user friendly graphical interface unit. Newly developed algorithm for ionospheric tomography, IONOLAB-CIT, provides not only 3-D electron density but also tracking of ionospheric state with high reliability and fidelity. The algorithm for ray tracing through ionosphere, IONOLAB-RAY, provides a simulation environment in all communication bands. The background ionosphere is generated in voxels where IRI-Plas electron density is used to obtain refractive index. One unique feature is the possible update of ionospheric state by insertion of Total Electron Content (TEC) values into IRI-Plas. Both ordinary and extraordinary paths can be traced with high ray and low ray scenarios for any desired date, time and transmitter location. 2-D regional interpolation and mapping algorithm, IONOLAB-MAP, is another tool of IONOLAB group where automatic TEC maps with Kriging algorithm are generated from GPS network with high spatio-temporal resolution. IONOLAB group continues its studies in all aspects of ionospheric and plasmaspheric signal propagation, imaging and mapping.
Databáze: OpenAIRE