博士，副教授，博士生导师。2012年获北京师范大学自然灾害学博士学位，曾在美国国家旱灾中心访学一年，在美国内布拉斯加-林肯大学访学三个月。长期从事自然灾害监测、影响与风险评估方面的教学与科研工作。主持/参与了多项国家级与省部级科研课题。围绕水旱灾害、气候变化、植被变化、极端气候的生态效应等研究方向发表高水平文章50余篇，单篇文章最高引用次数超过150次，其中2篇文章入选“ESI高被引论文”，1篇文章入选“领跑者5000顶尖学术论文”，1篇论文获国际遥感与摄影测量协会2013年“The Len Curtis Award”优秀论文奖。出版教材1部，授权发明专利1项，登记软件著作权2项，获地理信息优秀工程银奖1项。担任中国地理学会自然灾害风险与综合减灾专业委员会委员，湖北省与江西省科技厅科技专家库专家、国家自然科学基金通讯评审专家、《Global Health Research and Policy》期刊编委。获武汉大学第十一届青年教师教学竞赛二等奖，武汉大学第三届教师教学创新大赛二等奖。

英文论文（按时间倒序）

[35] Sai Qu, Jiangong Liu, Bolun Li, Lin Zhao, Xinxin Li, Zhijiang Zhang, Moxi Yuan, Zigeng Niu, Aiwen Lin*. Unveiling the driver behind China’s greening trend: urban vs. rural areas. Environmental Research Letters, 2023, 18, 084027.

[33] Moxi Yuan, Xinxin Li, Sai Qu, Zuoshi Wen, Lin Zhao*. Spring Phenology Outweighs Temperature for Controlling the Autumn Phenology in the Yellow River Basin. Remote Sensing, 2023, 15(20), 5058.

[32] Mengjie Hou, Lin Zhao, Aiwen Lin*. Irrigation Cooling Effect on Local Temperatures in the North China Plain Based on an Improved Detection Method. Remote Sensing, 2023, 15, 4571.

[31] Zhao Lin, Li Xinxin*, Zhijiang Zhang, Moxi Yuan, Shao Sun, Sai Qu, Mengjie Hou, Dan Lu, Yajuan Zhou, Aiwen Lin. Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China. Science of the Total Environment, 2023, 874, 162366.

[30] Zhijiang Zhang, Aiwen Lin*, Lin Zhao, Bingyu Zhao. Attribution of local land surface temperature variations response to irrigation over the North China Plain. Science of the Total Environment, 2022, 826, 154104.

[29] Zhijiang Zhang, Fengji Zhang, Lunche Wang, Aiwen Lin, Lin Zhao*. Biophysical climate impact of forests with different age classes in mid- and high- latitude North America. Forest Ecology and Management, 2021, 494, 119327. 

[28] Zhigao Zhou, Aiwen Lin, Lunche Wang, Wenmin Qin, Lin Zhao*, Shao Sun*, Yang Zhong, Lijie He, Feiyan Chen. Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China. Science of the Total Environment, 2021, 784, 14721. 

[27] Zhigao Zhou, Lin Zhao (co-first author), Aiwen Lin, Wenmin Qin, Yunbo Lu, Jingyi Li, Yang Zhong, Lijie He. Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China. Arabian Journal of Geosciences, 2020, 13: 1287. 

[26] Moxi Yuan, Lin Zhao (co-first author), Aiwen Lin*, Lunche Wang, Qingjun Li, Dunxian She, Sai Qu. Impacts of preseason drought on vegetation spring phenology across the Northeast China Transect. Science of the Total Environment, 2020, 738, 140297.

[25] Zhijiang Zhang, Lin Zhao (co-first author), Aiwen Lin*. Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data. Remote Sensing, 2020, 12(12), 1927.

[24] Zhihong Song, Jun Xia*, Dunxian She, Liping Zhang, Chen Hu, Lin Zhao. The development of a Nonstationary Standardized Precipitation Index using climate covariates: a case study in the middle and lower reaches of Yangtze River Basin, China. Journal of Hydrology, 2020, 588, 125115.

[23] Moxi Yuan, Lin Zhao (co-first author), Aiwen Lin*, Qingjun Li, Dunxian She, Sai Qu. How do climatic and non-climatic factors contribute to the dynamics of vegetation autumn phenology in the Yellow River Basin, China? Ecological Indicators, 2020, 112, 106112.

[22] Hu Chen, Xia Jun*, She Dunxian, Xu Chongyu, Zhang Liping, Song Zhihong, Lin Zhao. A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China. Atmospheric Research, 2019, 230, 104629.

[21] Jian Fang, Wentao Yang, Yibo Luan, Juan Du, Aiwen Lin, Lin Zhao*. Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China. Atmospheric Research, 2019, 223,24-38. (ESI Highly Cited Paper)

[20] Xinguang Chen*, Bin Yu, Lin Zhao. The evaluation of global epidemic of HIV/AIDS with a novel approach using country-specific counts of HIV infections and three rates controlled for population and geographic area. Global Health Journal, 2019, 3(3): 66-72.

[19] Jian Fang, Jiameng Hu, Xianwu Shi, Lin Zhao*. Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm. International Journal of Disaster Risk Reduction, 2019, 34, 275-282.

[18] Jian Fang, Feng Kong, Jiayi Fang, Lin Zhao*. Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: spatial–temporal variability and climate change impacts. Natural Hazards, 2018, 93(1), 89-107.

[17] Lin Zhao, Aiguo Dai*, Bo Dong. Changes in global vegetation activity and its driving factors during 1982-2013. Agricultural and Forest Meteorology, 2018, 249, 198-209. (ESI Highly Cited Paper)

[16] Lin Zhao, Jingmeng Wang, Zhe Zhao, Jian Fang*. Variation of precipitation concentration from 1960 to 2014 in the middle and lower reaches of Yangtze River Basin, China. Cuadernos de Investigación Geográfica, 2016, 42(1), 205-220.

[15] Lin Zhao, Jianjun Wu, Jian Fang*. Robust Response of Streamflow Drought to Different Timescales of Meteorological Drought in Xiangjiang River Basin of China. Advances in Meteorology, 2016, http://dx.doi.org/10.1155/2016/1634787.

[14] Yue Li, Zhenzhong Zeng, Lin Zhao, Shilong Piao*. Spatial patterns of climatological temperature lapse rate in mainland China: A multi-tim-scale investigation. Journal of Geophysical Research: Atmospheres, 2015, 120(7), DOI: 10.1002/2014JD022978.

[13] Lin Zhao, Aifeng Lü, Jianjun Wu* et al. Impact of Meteorological Drought on Streamflow in the Jinghe River Basin of China. Chinese Geographical Science, 2014, 24 (6), 694–705.

[12] Lei Zhou, Jianjun Wu*, Tangao Hu, Song Leng, Jianhui Zhang, Ming Liu, Lin Zhao. The Investigation of Relationship between Integrated Surface Drought Index (ISDI) Detected Drought Condition and Crop Yield. 2014 IEEE IGARSS.

[11] Bin He, Jianjun Wu*, Aifeng Lv, Xuefeng Cui, Lei Zhou, Ming Liu, Lin Zhao. Quantitative assessment and spatial characteristic analysis of agricultural drought risk in China. Natural Hazards, 2013, 66(2): 155-166.

[10] Lei Zhou, Jianjun Wu*, Jianhui Zhang, Song Leng, Ming Liu, Jie Zhang, Lin Zhao, Fengying Zhang, and Yu Shi.  The Integrated Surface Drought Index (ISDI) as an Indicator for Agricultural Drought Monitoring: Theory, Validation, and Application in Mid-Eastern China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3).

[9] Lei Zhou, Jianjun Wu*, Adu Gong, Jianhui Zhang, Ming Liu, Lin Zhao, Song Leng, Xin Lu. Evaluation of Integrated Surface Drought Index (ISDI) via precipitation data and soil moisture. 2013 IEEE IGARSS.

[8]   Lei Zhou, Jie Zhang, Jianjun Wu*, Lin Zhao, Ming Liu, Aifeng Lü, Zhitao Wu. Comparison of remotely sensed and meteorological data-derived drought indices in mid-eastern China. International Journal of Remote Sensing, 2012, 33(6):1755-1779.（The Len Curtis Award）

[7]   Lei Zhou, Jianjun Wu*, Song Leng, Ming Liu, Jie Zhang, Lin Zhao, Chunyuan Diao, Jianhui Zhang, Haijiang Luo, Fengying Zhang, Yu Shi. Using a new integrated drought monitoring index to improve drought detection in mid-eastern China. 2012 IEEE IGARSS.

[6]   Jianjun Wu, Lin Zhao, Yanting Zheng, Aifeng Lü*. Regional differences in the relationship between climatic factors, vegetation, land surface conditions, and dust weather in China’s Beijing-Tianjin Sand Source Region. Natural Hazards, 2011, 62:31-44.

[5]   Bin He, Aifeng Lü, Jianjun Wu*, Lin Zhao, Ming Liu. Drought hazard assessment and spatial characteristics analysis in China. Journal of Geographical Sciences, 2011, 21(2):235-249.

[4]   Jianjun Wu, Bin He, Aifeng Lü*, Lei Zhou, Ming Liu, Lin Zhao. Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China. Natural Hazards, 2011, 56(3): 785-801.

[3]   Lei Zhou, Jianjun Wu*, Jie Zhang, Feifei Zhao, Ming Liu, Lin Zhao. Assessing the drought monitoring characteristic of timeseries NDVI indices in crop growing season. 2010 IEEE IGARSS.

[2]   Jianjun Wu*, Lei Zhou, Jie Zhang, Ming Liu, Lin Zhao, Feifei Zhao. Analysis of relationships among vegetation condition indices and multiple-time scale SPI of grassland in growing season. 2010 Geoinformatics.

[1]   Lin Zhao, Jianjun Wu*, Aifeng Lü, Xiaochen Liu, Ming Liu. Temporal and Spatial Analysis of Drought in HUANG-HUAI-HAI District--Based on SPI. 2009 EARAM.

中文论文（按时间倒序）

[19] 袁沫汐, 文佐时, 何利杰, 李鑫鑫, 赵林^*. 中国温带草地物候对气候变化的响应及其对总初级生产力的贡献[J]. 生态学报, 2024, 44(1).

[18] 袁沫汐*, 赵林, 李鑫鑫, 林爱文. 1982-2015年中国温带不同草地植被枯黄期对极端气候事件的响应[J]. 生态学报, 2023, 43(14): 6015-6032.

[17] 虞莉莎, 刘新靓, 宋康, 王蕊, 龚芳燕, 方亮, 万跃, 赵林*, 黎浩*. 中国脑卒中环境危险因素的系统评价[J]. 医学新知, 2023, 6(33): 173-208.

[16] 唐旭, 朱梦圆, 罗明霞, 赵林, 胡石元*.集体建设用地基准地价评估方法及实证研究[J]. 测绘地理信息, 2023, 48(2): 86-91.

[15] 胡石元, 陈卉, 唐旭*, 赵林, 耿红. 等级价统一模型支撑的合浦县城镇土地基准地价评估[J]. 测绘地理信息, 2023, 48(4): 84-89.

[14] 唐旭, 冯浪, 胡石元*, 赵林, 耿红. 划拨土地经营性利用视角下的学校住宿费价格评估及监管机制[J]. 测绘地理信息, 2023, 48(4): 110-115.

[13] 胡石元, 贺妍, 唐旭*, 赵林, 耿红. 顾及跨域影响的省域大气环境治理效率分析[J], 测绘地理信息, 2022, 47(4): 1-7.

[12] 王丹, 杨超, 郑永宏*, 肖雪莹, 赵林, 陈正洪. 海绵城市改造对热岛效应减缓效果的估算[J]. 长江流域资源与环境, 2021, 30(4): 968-975.

[11] 郭明强, 吴亮, 黄颖, 谢忠, 赵林. WebGIS集群环境下Client主动式负载均衡策略[J]. 武汉大学学报(信息科学版), 2015, 40(12), 1639-1645.

[10] 赵林, 于家烁, 薄岩, 杨娇, 李汉青. 基于SPEI的湖北省近52年干旱时空格局变化[J]. 长江流域资源与环境, 2015, 24(7), 1230-1237.

[9]   赵林, 徐春雪, 刘雪莹, 李汉青, 江浩鸿, 林爱文. 干旱对湖北省森林植被净初级生产力的影响[J]. 长江流域资源与环境, 2014, 23(11), 1595-1602.

[8]   周磊; 武建军; 吕爱锋; 张洁; 赵林. 华北不同地表覆盖类型区干旱演变特征[J]. 地理研究, 2012, 31(4): 597-607.

[7]   赵林，武建军，吕爱锋，刘晓晨，刘明. 黄淮海平原及其附近地区干旱时空动态格局分析——基于标准化降雨指数[J]. 资源科学, 2011, 33(3): 468-476.（领跑者5000顶尖学术论文）

[6]   武建军，刘晓晨，吕爱峰，赵林，刘明. 黄淮海地区干湿状况的时空分异研究[J]. 中国人口·资源与环境, 2011, 21(2): 100-105.

[5]   赵林，武建军，吕爱锋，刘明，杨曦，何斌. 京津风沙源区植被变化对降水的响应规律研究[J]. 北京师范大学学报（自然科学版）, 2010, 46(5): 610-618.

[4]   刘明，武建军，吕爱锋，赵林，何斌. 黄淮海平原雨养条件下冬小麦水分胁迫分析[J]. 地理科学进展, 2010, 29(4): 427-432.

[3]   何斌，赵林，刘明，周磊. 湖南省农业旱灾风险综合分析与定量评价[J]. 安徽农业科学, 2010, 38(3): 1559-1562,1578.

[2]   刘明，武建军，吕爱锋，赵林. 黄淮海平原典型区冬小麦水分胁迫规律与灌溉策略[J]. 农业工程学报, 2010, 26(5):40-44.

[1]  赵林，武建军. 灾害风险防范数据库的设计与开发[J]. 自然灾害学学报, 2008, 17(1): 44-48.

专利与软著

[1] 发明专利：多因素骤旱综合识别方法，ZL201910789269.5，2022.

[2] 软件著作权：洪涝灾害快速评估系统V1.0，2018.

[3] 软件著作权：干旱灾害演进过程监测系统V1.0，2016.