1997-2001，内蒙古师范大学，地理教学专业，获学士学位

2001-2006，南京信息工程大学，气象学专业，获博士学位

2006-今，  国家气象信息中心，气象信息技术，正研高工

2007-2008，美国海洋大气局气候预测中心（CPC），访问学者

2016-2017，美国海洋大气局强风暴实验室（NSSL），访问学者

论文

[1] Yan Shen. A bi-dimensional variational method for the analysis of gauge-, radar- and satellite-based precipitation observations. 2018 AGU Fall Meeting in the Session of “Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications”, Washington DC, Dec., 11-16, Oral presentation.

[2] Shen Y, Hong Z, Pan Y, Yu J J, Maguire Lane. China’s 1km merged gauge, radar and satellite experimental precipitation dataset. Remote Sensing, 2018, 10, 264,1-27; doi:10.3390/rs10020264.

[3] Chen Z Q, Qin Y X, Shen* Y, and Zhang S P. Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland. Advances in Meteorology, 2016, 1-15, doi:10.1155/2016/9365294（通讯作者）.

[4] Shen, Y., Xiong, A. Y. Validation and comparison of a new gauge-based precipitation analysis over mainland China. International Journal of Climatology, 2015, DOI: 10.1002/joc.4341

[5] Qin, Y. X., Chen, Z. Q., Shen*. Y., et al. Evaluation of Satellite Rainfall Estimates over the Chinese Mainland. Remote Sensing, 2014, 6, 11649-11672; doi:10.3390/rs61111649（通讯作者）.

[6] Shen, Y., Xiong, A. Y., Hong, Y., Yu, J. J., Pan, Y., Chen, Z. Q., Saharia, M. Uncertainty analysis of five satellite-based precipitation products and evaluation of three optimally merged multi-algorithm products over the Tibetan Plateau. International Journal of Remote Sensing, 2014, DOI: 10.1080/01431161

[7] Shen, Y, Zhao, P., Pan Y., and Yu, J. J. A high spatiotemporal gauge-satellite merged precipitation analysis over China. Journal of Geophysical Research, 2014, 119, doi: 10.1002/2013JD020686.

[8] Shen Y, Xiong, A. Y., Wang, Y., and Xie, P. Performance of high-resolution satellite precipitation products over China. Journal of Geophysical Research, 2010, 115, doi:10.1029/2009JD012097.

[9] Xu S G, Shen Y, and Du Z. Tracing the Source of the Errors in Hourly IMERG Using a Decomposition Evaluation Scheme. Atmosphere, 2016, 7,161-172.

[10] Xu, Y. M., Knudby A., Shen Y, and Liu Y. H. Mapping Monthly Air Temperature in the Tibetan Plateau From MODIS Data Based on Machine Learning Methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing PP(99):1-10. DOI 10.1109/JSTARS.2017.2787191

[11] Xu, Y. M., Qin, Z. H., Shen, Y. Study on the estimation of near-surface air temperature from MODIS data by statistical methods. International Journal of Remote Sensing, 2012, 33:24, 7629-7643.

[12] Xu S G, Wu C Y, Wang L, Alemu Gonsamo, Shen Y. A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics. Remote Sensing of Environment, 2015,162: 119-140.

[13] Chen H M, Yu R C, Shen Y. A New Method to Compare Hourly Rainfall between Station Observations and Satellite Products over Central-Eastern China. Journal of Meteorological Research, 2016, 30(5): 737-757.

[14] Xu, Y. M., Shen, Y., Wu, Z. Y. Spatial and Temporal Variations of Land Surface Temperature Over the Tibetan Plateau Based on Harmonic Analysis. Mountain Research and Development, 2013, 33(1):85-94.

[15] Xu, Y. M., Shen, Y. Reconstruction of the land surface temperature time series using harmonic analysis. Computers & Geosciences, 2013, 61: 126–132.

[16] Xu, Y., G, X. J., Shen, Y., et al. A daily temperature dataset over China and its application in validating a RCM simulation. Advances in Atmospheric Sciences, 2009, 26(4): 763-772.

[17] Xu, S. G., Wu, C. Y., Gonsamo, A., Shen Y. Delineation of Rain Areas with TRMM Microwave Observations Based on PNN. Remote Sensing, 2014, 6, 12118-12137; doi:10.3390/rs61212118.

[18] Xu, S.G., Wu* C Y, Wang, L, Alemu Gonsamo, Niu, Z, and Shen Y. A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics. Remote Sensing of Environment, 2015, DOI:10.1016/j.rse.2015.02.024

[19] Xu, S G, Niu* Z, Alemu Gonsamo, and Shen Y. Delineation rain areas with TRMM microwave observations based on artificial neural network, Remote Sensing, 2014, 6: 12118-12137

[20] Shiguang Xu, Zheng Niu*, and Yan Shen, Understanding the dependence of the uncertainty of satellite precipitation dataset on underlying surface and a correction method based on Geographical Weighted Regression, International Journal of Remote Sensing, 2014, 35(17): 6508–6521

[21] Shiguang Xu, Zheng Niu*, Da Kuang, Yan Shen, Wen-Jiang Huang, and Yu Wang, Estimating Summer Precipitation Over the Tibetan Plateau With Geostatistics and Remote Sensing, Mountain research and development, 2013, 33(4):424–436

[22] Li Q X, Peng J D, Shen Y. Development of China Homogenized monthly Precipitation dataset during 1900-2009. J Geographic Sciences, 2012

[23]许时光，牛铮*，沈艳，旷达. CMORPH卫星降水数据在中国区域的误差特征研究，遥感技术与应用，2014，29 (2): 189-194

[24]沈艳，潘旸，宇婧婧，赵平，周自江.中国区域小时降水量融合产品的质量评估.大气科学学报,36(1): 37-46, 2013.

[25]沈艳，潘旸，徐宾，宇婧婧.最优插值在对降水量空间分析中的参数优化.成都信息工程学院学报，27(2): 219-224,2012.

[26]沈艳,冯明农，张洪政,高峰.我国逐日降水量格点化方法.应用气象学报, 21(3): 279-286, 2010.

[27]沈艳，熊安元，施晓晖等.中国55年来地面水汽压网格数据集的建立及精度评价，气象学报，66(2): 283-291, 2008.

[28]沈艳，任芝花，王颖.我国自动与人工蒸发量观测资料的对比分析.应用气象学报，2008,19(4): 463-470.

[29]沈艳，牛铮，陈方等.基于经验线性法的Hyperion高光谱图像地表反射率反演研究.地理与地理信息科学，2007,23(1): 27-30.

[30]潘旸，李建，廖捷，沈艳等，2009年2-3月我国南方连阴雨天气过程分析.气象，2010,36（3）：39-46.

[31]廖荣伟，沈艳等，基于格点降水场的中国东部冬季降水变化特征.气象与环境学报，2013,29（5）：55-62.

[32]旷达，沈艳，牛铮，王李娟，卫星反演降水产品误差随时空分辨率和雨强的变化特征分析，遥感信息，2012，27（4）：75-81.

[33]潘旸，沈艳，宇婧婧，赵平，基于OI方法分析的中国区域地面观测与卫星反演小时降水融合试验，气象学报，2012，70（6）：1381-1389.

[34]宇婧婧，沈艳，潘旸，赵平，周自江，概率密度匹配法对中国区域卫星降水资料的改进，应用气象学报，2013，24（5），544-553.

[35]宇婧婧，沈艳，潘旸，熊安元.中国区域逐日融合降水数据集与国际降水产品的对比评估，气象学报，2015，73（2），：394-410.

[36]潘旸，沈艳，宇婧婧等.基于贝叶斯融合方法的高分辨率地面-卫星-雷达三源降水融合试验，气象学报，2015，73（1）：177-186.

[37]廖荣伟，张冬斌，沈艳.６种卫星降水产品在中国区域的精度特征评估.气象，2015，41（8）：970-979.

论著

[1] 基于气候背景场的日降水量小网格插值方法，《湖南省现代农业气候区划》，湖南大学出版社，2010，120-140

[2] 熊安元，沈艳.《中国地面和高空气候变化数据产品研发技术》，气象出版社，2015.

承担的在研项目

[1] 国家自然基金重点项目，青藏高原多源降水和总储水量反演同化及在区域水循环研究中的应用，课题负责人

[2] （气象）行业专项，第三次青藏高原科学试验—边界层与对流层观测，骨干参加

[3] 国家重点研发计划，青藏高原地-气相互作用及其对下游天气气候的影响，骨干参加

人才培养

联合培养多名硕士和博士研究生