Jin Honglin

Jin Honglin(H. L. Jin)

Email:jhl_1968@126.com

Tel: 81-10-88015264

Education: 

B. Sc. Electric Science, Jilin University, Changchun (1986.9~1990.6)

M. Sc. Astronomical Instrument and Method, Shanghai Observatory. CAS, Shanghai (1992.9 ~1996.6)

Pre D. student, Science department, The University of Tokyo, Japan (2000.10~2001.3)

Ph. D. Earth and Planetary Science, The University of Tokyo, Japan (2001.4~2004.3)


Employment:

Engineer, Changchun Observatory, National Astronomical Observatories,CAS, Changchun(1990. 7~2000.9)

Post-doc, Earthquake Research Institute,  The University of Tokyo, Japan (2004.4~2005.4)

Associate Researcher, Institute of Earthquake Forecasting, CEA, Beijing (2005.5~Now)

Selected Publications:

Jin, HongLin, Gao, Yuan*, Su, Xiaoning, et al. Contemporary crustal tectonic movement in the southern Sichuan-Yunnan block based on dense GPS observation data. Earth and Planetary Physics. 2019, 3, 53-61, doi:10.26464/epp2019006

Taoling Xu, Honglin Jin*, Xi Xu, et al. Statistic analysis of the ionospheric topside scale height based on COSMIC- RO measurements. Journal of Atmospheric and Solar-Terrestrial Physics, 2013, 104, 29-38

Wang Y B, Jin H L*, Fu F Y, et al. Estimation of co-seismic slip distribution of the 2011 Tohoku-Oki Mw9.0 earthquake using Yabuki&Matsu’ura’s inverse method. Chinese J. Geophys. (in Chinese), 2012, 55(8), 2551-2560

Jin Honglin, Hu Xinkang, Wang Yuebing. Study on strain field around Zhangjiakou-Bohai seismic belt with Least-Square Collocation. Journal of Geodesy and Geodynamics(in Chinese), 2012, 32(2), 7-9

Jin honglin, Wanghui. Estimation of the Kunlun earthquake fault slip from GPS coseismic data using Hori’s inverse method. Earthquake Science, 2009, 22(6), 609-614

Jin Honglin, Teruyuki Kato, Ma Hongsheng, et al. Application and comparison of two kinds of GPS invwerse methd on boder land between Philippine Sea Plate and Southwest Japan. Journal of Geodesy and Geodynamics(in Chinese), 2007, 27(1), 16-18

Jin, H., T. Kato, and M. Hori. Estimation of slip distribution using an inverse method based on spectral decomposition of Green's function utilizing Global Positioning System (GPS) data. J.Geophys. Res., 2007, 112, B07414, doi:10.1029/2004JB003378.