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Weijun Lu

Researcher at Chinese Academy of Sciences

Publications -  10
Citations -  58

Weijun Lu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: TEC & Total electron content. The author has an hindex of 3, co-authored 9 publications receiving 25 citations.

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Evaluation of ionospheric height assumption for single station GPS-TEC derivation

TL;DR: In this paper, the effects of ionospheric single thin layer height on GPS based total electron content (TEC) derivation by a single station, the GPS dual frequency pseudoranges and carrier phases received in Beijing at solar minimum and maximum are used for derivation at different heights through grid method, Kalman filtering method and polynomial method respectively.
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GNSS Ionosphere Sounding of Equatorial Plasma Bubbles

TL;DR: In this paper, the authors derived the timing and the latitudinal dependence of the EPBs occurrence rate by means of the rate of the total electron content (TEC) index (ROTI) data from GNSS receivers in China, whereas vertical profiles of the scintillation index S4 are provided by COSMIC (Constellation Observing System for Meteorology, Ionosphere and Climate).
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Performance evaluation of IRI-2016 with GPS-derived TEC at the meridian of 110oE in China of 2014

TL;DR: In this article, the International Reference Ionosphere (IRI-2016) is evaluated for ionospheric total electron content (TEC) over China during a high solar activity phase of 2014.
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A comparison of GPS-TEC with IRI-TEC at low latitudes in China in 2006

TL;DR: A comparison between GPS derived total electron content (TEC) and IRI-2012 at low latitudes in China in 2006 is studied in this paper, where the GPS-TEC is computed with the grid-based method.
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A method of estimating GPS instrumental biases with a convolution algorithm

TL;DR: The convolution method's accuracy and stability were quite good and showed improvements over the mesh method, and the DCB values derived by this method agree with those of theMesh method and the CODE products, with biases of 0.091 ns and 0.321 NS.