Global Monitoring of Ionospheric Weather by GIRO and GNSS Data Fusion

Atmosphere

Ningbo Wang¹  Zishen Li¹  Dieter Bilitza²  Bodo Reinisch³  Inez Batista⁴  Adam Froń⁵  Andrzej Krankowski⁵  Kacper Kotulak⁵  Paweł Flisek⁵  Ivan Galkin⁶  Bruno Nava⁷  Manuel Hernández-Pajares⁸  Alberto García-Rigo⁸  David Roma Dollase⁸ 

[1] Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China;Department of Physics and Astronomy, George Mason University, Fairfax, VA 22030, USA;Lowell Digisonde International, LLC, Lowell, MA 01854, USA;National Institute for Space Research, São José dos Campos, São Paulo 12227-010, Brazil;Space Radio-Diagnostics Research Centre, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland;Space Science Laboratory, University of Massachusetts Lowell, Lowell, MA 01854, USA;The Abdus Salam International Centre for Theoretical Physics, 34151 Trieste, Italy;UPC-IonSAT, Department of Mathematics, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain;

关键词: ionosonde;    ionospheric weather;    GIRO;    GNSS;   

DOI  :  10.3390/atmos13030371

来源: DOAJ

【 摘 要 】

Prompt and accurate imaging of the ionosphere is essential to space weather services, given a broad spectrum of applications that rely on ionospherically propagating radio signals. As the 3D spatial extent of the ionosphere is vast and covered only fragmentarily, data fusion is a strong candidate for solving imaging tasks. Data fusion has been used to blend models and observations for the integrated and consistent views of geosystems. In space weather scenarios, low latency of the sensor data availability is one of the strongest requirements that limits the selection of potential datasets for fusion. Since remote plasma sensing instrumentation for ionospheric weather is complex, scarce, and prone to unavoidable data noise, conventional 3D-var assimilative schemas are not optimal. We describe a novel substantially 4D data fusion service based on near-real-time data feeds from Global Ionosphere Radio Observatory (GIRO) and Global Navigation Satellite System (GNSS) called GAMBIT (Global Assimilative Model of the Bottomside Ionosphere with Topside estimate). GAMBIT operates with a few-minute latency, and it releases, among other data products, the anomaly maps of the effective slab thickness (EST) obtained by fusing GIRO and GNSS data. The anomaly EST mapping aids understanding of the vertical plasma restructuring during disturbed conditions.

【 授权许可】

Unknown