GNSS掩星高精度算法，GNSS大气，大气异常监测及分析

大地测量，地球物理专业

081601-大地测量学与测量工程

GNSS气象学

2009-11--2013-12   澳大利亚皇家墨尔本理工大学(RMIT)   博士学位
2005-09--2009-06   中国地质大学（武汉）   学士

博士研究生

博士

2021-01~现在, 中国科学院精密测量科学与技术创新研究院, 副研究员
2014-03~2020-12,中国科学院精密测量科学与技术创新研究院, 助理研究员

2021-01~现在, 中国科学院精密测量科学与技术创新研究院, 副研究员
2014-03~2020-12,中国科学院精密测量科学与技术创新研究院, 助理研究员

   

[1] Li Ying, Kirchengast, Gottfried, Schwaerz, Marc, Ladstaedter, Florian, Yuan, Yunbin. Monitoring sudden stratospheric warmings using radio occultation: a new approach demonstrated based on the 2009 event. ATMOSPHERIC MEASUREMENT TECHNIQUES[J]. 2021, 14(3): 2327-2343, https://doaj.org/article/b5b40ab9a6564a46bf4e68bff026996b.
[2] Jinde Wei, Ying Li, Kefei Zhang, Mi Liao, Weihua Bai, Congliang Liu, Yan Liu, Xiaoming Wang. An Evaluation of Fengyun-3C Radio Occultation Atmospheric Profiles Over 2015-2018. REMOTE SENSING[J]. 2020, 12(13): https://doaj.org/article/658bb40d168e45728f4f90a04f0470f0.
[3] Ying Li, Yunbin Yuan, Xiaoming Wang. Assessments of the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Tropospheric Conditions Using Radiosonde Data. REMOTE SENSING[J]. 2020, 12(17): https://doaj.org/article/6057aeacbb2f4dc8821f7f2e8f18c1b8.
[4] Ying Li, Gottfried Kirchengast, Barbara ScherllinPirscher, Marc Schwaerz, Johannes K Nielsen, Shupeng Ho, Yunbin Yuan. A New Algorithm for the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Air and Comparison to 1DVar Retrievals. REMOTE SENSING[J]. 2019, 11(23): https://www.webofscience.com/wos/woscc/full-record/WOS:000508382100010.
[5] Li Ying, Gottfried Kirchengast, Barbara Scherllin-Pirscher, Robert Norman, Yuanbin Yuan, Johanes Fritzer, Marc Schwaerz, Kefei Zhang. Dynamic statistical optimization of GNSS radio occultation bending angles: an advanced algorithm and its performance analysis. Atmospheric Measurement Techniques[J]. 2015, 8: 3447-3465, [6] Li, Y, Kirchengast, G, ScherllinPirscher, B, Wu, S, Schwaerz, M, Fritzer, J, Zhang, S, Carter, B A, Zhang, K. A new dynamic approach for statistical optimization of GNSS radio occultation bending angles for optimal climate monitoring utility. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2013, 118(23): 13022-13040, https://www.webofscience.com/wos/woscc/full-record/WOS:000330266500033.

   

（ 1 ） 提高GNSS掩星低层大气参数反演精度的NMAR算法研究, 主持, 国家级, 2016-01--2018-12
（ 2 ） 风云三号C星掩星数据误差特性和优化算法, 参与, 国家级, 2018-01--2022-12
（ 3 ） 高精度对流层延迟修正方法与软件研制, 主持, 国家级, 2016-07--2021-06
（ 4 ） 利用长期掩星和ECMWF再分析数据提出全球突变暖现象新定义并研究其对大气影响, 主持, 市地级, 2020-01--2021-12

（1）A new method to detect and monitor Sudden Stratospheric Warming events based on radio occultation: demonstration using the Jan-Feb 2009 event   2019-09-18
（2）A new algorithm for the retrieval of atmospheric profiles from GNSS radio occultation data in moist air conditions   2018-09-08
（3）A new algorithm for the retrieval of atmospheric profiles from GNSS radio occultation data in moist air conditions   2016-09-08
（4）A new algorithm for the retrieval of atmospheric profiles from GNSS radio occultation data in moist air conditions   2016-07-31
（5）Dynamic statistical optimization of GNSS radio occultation bending angles: an advanced algorithm and performance analysis results   2015-04-16