1 2001.12–2008.08: Tori County Meteorological Bureau (Xinjiang) / Assistant Engineer

2 2011.07–2016.03: Xinjiang Meteorological Observatory / Engineer

3 2016.04–2017.12: Institute of Desert Meteorology, China Meteorological Administration, Urumqi / Assistant Researcher

4 2018.01–Present: Institute of Desert Meteorology, China Meteorological Administration, Urumqi / Associate Researcher

Focuses on remote sensing-based monitoring of snow water resources and quantitative retrieval of satellite precipitation products.

(1) 2018

Awarded Xinjiang Science and Technology Progress Award (Second Class) (Ranked 5th of 9 contributors)

Research and Application of Heavy Snow Forecasting Technology in Northern Xinjiang

Contributors: Cui Caixia; Zhang Junlan; Jia Lihong; Zhuang Xiaocui; Lu Xinyu; Li Ruqi; Yang Xia; Zhang Yunhui; Li Xia

(2) 2019

Selected for Xinjiang "Tianshan Youth" Talent Program

(3) 2019

Selected for Xinjiang "Tianshan Fertile Soil" Research Backbone Talent Program

(4) 2020

Recognized by CMA Department of Science & Climate Change as Outstanding Frontier Research Report (Ranked 2nd of 4 authors)

Investigation and Countermeasures for Snowmelt Flood Monitoring/Warning in Xinjiang and Central Asia

Authors: Liu Yan; Lu Xinyu; Zheng Yi; Huo Wen

(5) 2021

Awarded Xinjiang Science and Technology Progress Award (Second Class) (Ranked 7th of 9 contributors)

Key Forecasting Technologies for Central Asian Vortex-Induced Heavy Precipitation in Xinjiang

Contributors: Yang Lianmei; Zhang Yunhui; Zhou Yushu; Li Jiangang; Zeng Yong; Liu Jing; Lu Xinyu; Ran Lingkun; Huang Yan

(6) 2021

Selected for Xinjiang Meteorological Administration High-Level Key Talent Program

1 2020.06–2023.05, Research on Hourly Precipitation Estimation in the Tianshan Mountains Based on Downscaling and Multi-source Data Fusion. Xinjiang Uygur Autonomous Region Natural Science Foundation General Project (No. 2020D01A137). Principal Investigator.

2 2020.06–2022.05, Xinjiang Outstanding Young Scientists Training Program (No. 2019Q039). Tianshan Youth Talent Program. Principal Investigator. 

3 2019.06–2020.12, Xinjiang Agricultural/Livestock Research Backbone Talent Program (No. 2019-56). Tianshan Fertile Soil Program. Principal Investigator.

4 2022.01–2023.12, Development of Multi-source Data Fusion Products for the Tianshan Mountains. Open Fund of National Cryosphere Desert Data Center (No. 2021kf06). Principal Investigator.

5 2022.01–2023.12, Research on Downscaling and Fusion Methods for Multi-source Satellite Precipitation Products in the Tianshan Mountains. Open Fund of State Key Laboratory of Cryospheric Science (No. SKLCS-OP-2021-10). Principal Investigator.

6 2022.07–2023.06. Specifications for Precipitation Phase Identification Criteria. Local Standard of Xinjiang Uygur Autonomous Region (Code: XJ22-200). Principal Investigator.

[1] Lu Xinyu; Tang Guoqiang*; Wang Xiuqin; Liu Yan; Jia Lihong; Xie Guohui; Li Shuai,Correcting GPM IMERG precipitation data over the Tianshan Mountains in China, Journal of Hydrology, SCI,2019, 575: 1239-1252.

[2] Lu Xinyu; Tang Guoqiang*; Liu Xinchun*; Wang Xiuqin; Yan Liu; Ming Wei,The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia, Atmospheric Research, SCI,2021, 252: 105452.

[3] Lu Xinyu; Chen Yuanyuan*; Tang Guoqiang*; Wang Xiuqin; Liu Yan; Wei Ming,Quantitative estimation of hourly precipitation in the Tianshan Mountains based on area-to-point kriging downscaling and satellite-gauge data merging, Journal of Mountain Science,SCI,2022, 19, 58–72

[4] Lu Xinyu; Tang Guoqiang*; Wang Xiuqin; Liu Yan; Wei Ming; Zhang Yingxin,The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products, Remote Sensing, SCI,2020, 12(3): 398.

[5] Lu Xinyu; Tang Guoqiang*; Wei Ming; Yang Lianmei; Zhang Yingxin,Evaluation of multi-satellite precipitation products in Xinjiang, China, International Journal of Remote Sensing, SCI,2018, 39(21): 7437-7462.

[6] Lu Xinyu; Wei Ming*; Tang Guoqiang; Zhang Yingxin,Evaluation and correction of the TRMM 3B43V7 and GPM 3IMERGM satellite precipitation products by use of ground-based data over Xinjiang, China, Environmental Earth Sciences, SCI,2018, 77(209)

[7] Lu Xinyu; Li Jing; Liu Yan; et al. ，Quantitative Precipitation Estimation in the Tianshan Mountains Based on Machine Learning，2023-08，Remote Sensing (IF 4.2), 2023, 15, 3962.

[8] Lu, X.; Wang, X.; Li, C.; Liu,Y.; Zeng, Y.; Huo, H. Validation of DSDs of GPM DPR with Ground-Based Disdrometers over the Tianshan Region, China. Remote Sens. 2025, 17,79.

[9] Lu, X., Wei, M.*, & Wang, X.** (2017). Correction of TRMM Monthly Precipitation Products over Xinjiang Region. Journal of Applied Meteorological Science, 28(3), 379-384. (In Chinese).

[10] Lu, X., Liu, Y.*, Wang, X., Liu, J., Wei, M., Song, Z., & Zhang, Y. (2020). Multi-source Precipitation Fusion Experiment in Xinjiang. Arid Zone Research, 37(5), 1223-1232. (In Chinese).

[11] Lu, X., Chen, R.*, Liu, Y., Wang, X., & Song, Z. (2021). Spatiotemporal Variation Characteristics of Rain-on-Snow Days in Northern Xinjiang, China. Journal of Glaciology and Geocryology, 43(5), 1446-1457. (In Chinese).

[12] Lu, X., Fu, X., Wang, X., et al. (2025). Multi-source Precipitation Fusion Dataset for the Tianshan Mountains in Xinjiang (2000–2022). China Scientific Data, 10(1), 397-405. (In Chinese).