研究方向：陆表蒸散发；水文模拟与分析；极端水文气候事件；

招生专业：大气科学、水文、遥感、地理信息技术等相关专业学生

2014.9-2017.7 北京师范大学 全球变化与地球系统科学研究院  博士

2017-2019 美国西北太平洋国家实验室（PNNL） 联合培养博士后

2017-2020 北京师范大学环境学院 博士后

2020-至今    北京师范大学 助理研究员

本科生通识课：《认识蓝色星球：地球上的水循环》

研究生基础课：《全球变化科学与技术》

国家重点研发计划项目，中国东北区域陆—气跨圈层精细化协同观测和资料反演，2022至2027，在研，参与

国家重点研发计划项目，区域多尺度气候极端事件风险评估与制图，2020至2025，在研，参与

国家自然科学基金青年项目，长江流域陆表蒸散发响应流域水资源管理的模拟研究，2021-2023，结题，主持

《代表性论文》

Jiayi Lu, Kaicun Wang, Guocan Wu, Aizhong Ye and Yuna Mao*, 2024. Inter-product biases in extreme precipitation duration and frequency across China. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ad7f73

Xu, Lin, and Yuna Mao*, 2024. Evaluation of Two Satellite Surface Solar Radiation Products in the Urban Region in Beijing, China. Remote Sensing 16, no. 11: 2030. https://doi.org/10.3390/rs16112030

Jiayi, Lu, Kaicun Wang, Guocan Wu, and Yuna Mao*, 2024. Evaluation of Multi-Source Datasets in Characterizing Spatio-Temporal Characteristics of Extreme Precipitation from 2001 to 2019 in China. Journal of Hydrometeorology, 25, 515-539, https://doi.org/10.1175/JHM-D-23-0162.1

Yuna Mao,  Jiaxin Bai,  Guocan Wu,  Lin Xu,  Changjian Yin,  Fei Feng,  Yanyi He,  Zhengtai Zhang,  Kaicun Wang, 2024. Terrestrial evapotranspiration over China from 1982 to 2020: Consistency of multiple data sets and impact of input data. Journal of Geophysical Research: Atmospheres, 129, e2023JD039387. https://doi.org/10.1029/2023JD039387

Jiaxin, Bai, Guocan Wu, and Yuna Mao*. 2023. Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020. Remote Sensing 15, no. 18: 4522. https://doi.org/10.3390/rs15184522.

Yuna Mao,  Guocan Wu, Guangzhi Xu,Kaicun Wang, 2022. Reduction in Precipitation Seasonality in China from 1960 to 2018, Journal of Climate,35(1), 227-248.10.1175/JCLI-D-21-0324.1.

Yuna Mao, Tian Zhou, Ruby Leung, Teklu Tesfa, Hongyi Li, Kaicun Wang, 2019. Flood Inundation Generation Mechanisms and Their Changes in 1953‐2004 in Global Major River Basins , Journal of Geophysical Research: Atmospheres, 124, 11672–11692. https://doi.org/10.1029/2019JD031381

Yuna Mao and Kaicun Wang, 2017. Comparison of Evapotranspiration Estimates based on the Surface Water Balance, Modified Penman-Monteith Model, and Reanalysis Datasets for continental China, Journal of Geophysical Research: Atmospheres,122(6), 3228-3244, doi: 10.1002/2016JD026065.

Yuna Mao, Kaicun Wang, Xiaomang Liu, and Changming Liu, 2016. Water Storage in Reservoirs Built from 1997 to 2014 Significantly Altered the Calculated Evapotranspiration Trends over China[J]. Journal of Geophysical Research: Atmosphere, 121(17),10097-10112, doi: 10.1002/2016JD025447.

Yuna Mao, Aizhong Ye, Xiaojie Liu, Feng Ma, Xiaoxue Deng,Chiyuan Miao, Wei Gong, and Zhenhua Di, 2016. High-resolution simulation of the spatial pattern of water use in continental China[J]. Hydrological science journal, 1-13, doi: 10.1080/02626667.2016.1153102.

Yuna Mao, Aizhong Ye, Jing Xu, Feng Ma, Xiaoxue Deng,Chiyuan Miao, Wei Gong, and Zhenhua Di , 2014. An advanced distributed automated extraction of drainage network model on high-resolution DEM[J]. Hydrol. Earth Syst. Sci. Discuss., 11, 7441-7467, doi:10.5194/hessd-11-7441-2014.

Yuna Mao, Aizhong Ye, and Jing Xu, 2012. Using Land Use Data to Estimate the Population Distribution of China in 2000[J]. GIScience & Remote Sensing, 49(6), 822–853, doi: 10.2747/1548-1603.49.6.822.

2021和2023年 北京师范大学 优秀班主任

2017年 博士后国际交流计划派出项目