张晓通，博士，教授，博士生导师。主要研究方向为辐射能量平衡遥感、太阳能资源评估与预测、多源遥感数据融合。近年来主持或承担国家自然科学基金项目、国家863项目专题等科研项目10余项；在遥感领域国际主流专业期刊以及国际学术会议上公开发表学术SCI论文近百篇，担任Remote Sensing of Environment, Journal of Geophysical Research, Scientific Reports等国内外遥感学术期刊审稿人。

辐射能量平衡遥感、太阳能资源评估与预测、遥感数据时空分析与融合

[1] 国家自然基金面上项目“高时空分辨率地表入射太阳辐射遥感反演算法研究”，2021.01-2025.12

[2] 国家自然基金面上项目“中国区域地表入射太阳辐射融合估算及其时空变化分析”，2016.01-2019.12

[3] 国家自然基金青年项目“基于多源遥感数据的地表净辐射遥感反演算法研究”，2012.01-2014.12

[4] 国家重点“863”项目“全球生态系统与表面能量平衡特征参量生成与应用”专题“全球陆表下行短波辐射和光合有效辐射遥感反演算法”，2013.12-2016.12

获2017年度科学技术部国家遥感中心遥感青年科技人才

[1]Yang, S., Zhang, X.*, Guan, S., Zhao, W., Duan, Y. Yao, Y., Jia, K.,& Jiang, B. (2023). A review and comparison of surface incident shortwaveradiation from multiple data sources: satellite retrievals, reanalysis data andGCM simulations. International Journal of Digital Earth (1753-8955;1753-8947),16, 1332-1357

[2]Guan, S., Zhang, X.*, Zhao, W., Duan, Y., Yang, S., Yao, Y., & Jia,K. (2023). A similarity distance-based space-time random forest model forestimating PM2.5 concentrations over China. Atmospheric Environment (1352-2310;1873-2844), 313, 120043

[3]Jiang, H., Zhang, X.*, Yao, L.*, Lu, N., Qin, J., Liu, T., & Zhou,C. (2023). High-resolution analysis of rooftop photovoltaic potential based onhourly generation simulations and load profiles. Applied Energy (0306-2619)

[4]Feng, C., Zhang, X.*, Xu, J., Yang, S., Guan, S., Jia, K., & Yao, Y.(2023). Comprehensive assessment of global atmospheric downward longwaveradiation in the state-of-the-art reanalysis using satellite and flux towerobservations. Climate Dynamics (0930-7575; 1432-0894), 60,1495-1521

[5]Yang,S. Zhang, X.*, Xu, J., Feng, C., Guan, S., Yao, Y., & Jia, K.(2022). Quantification of the urbanization impacts on solar dimming andbrightening over China. Environmental Research Letters (1748-9326),17, 084001

[6]Yao, Y., Zhang, X.*, Levy, G., Jia, K., & Al-Quraishi, A.M.F.(2022). Advances in Land–Ocean Heat Fluxes Using Remote Sensing. RemoteSensing (2072-4292), 14, 3402

[7]Xu, J., Zhang, X.*, Zhang, W., Hou, N., Feng, C. , Yang, S., Jia, K.,Yao, Y., Xie, X., Jiang, B., Cheng, J., Zhao, X., & Liang, S. (2022).Assessment of surface downward longwave radiation in CMIP6 with comparison toobservations and CMIP5. Atmospheric Research (0169-8095), 270,106056

[8]Xu, J., Zhang, X.*, Feng, C., Yang, S., Guan, S., Jia, K., Yao, Y., Xie,X., Jiang, B., Cheng, J., & Zhao, X. (2021). Evaluation of Surface UpwardLongwave Radiation in the CMIP6 Models with Ground and Satellite Observations. RemoteSensing (2072-4292), 13, 4464

[9]Feng, C., Zhang, X. *, Wei, Y., Zhang, W., Hou, N., Xu, J., Yang, S.,Xie, X., & Jiang, B. (2021). Estimation of Long-Term Surface DownwardLongwave Radiation over the Global Land from 2000 to 2018. Remote Sensing(2072-4292), 13, 1848

[10]Wei, Y., Zhang, X. * Li, W., Hou, N., Zhang, W., Xu, J., Feng, C., Jia,K., Yao, Y., Cheng, J., Jiang, B., Wang, K., & Liang, S. (2021). Trends andVariability of Atmospheric Downward Longwave Radiation Over China From 1958 to2015. Earth and Space Science (2333-5084), 8, e2020EA001370

[11]Hou, N., Zhang, X.*, Zhang, W., Xu, J., Feng, C., Yang, S., Jia, K.,Yao, Y., Cheng, J., & Jiang, B. (2020). A New Long-Term Downward SurfaceSolar Radiation Dataset over China from 1958 to 2015. Sensors (1424-8220;1424-3210)

[12]Hou, N., Zhang, X.*, Zhang, W., Wei, Y., Jia, K., Yao, Y., Jiang, B.,& Cheng, J. (2020). Estimation of Surface Downward Shortwave Radiation overChina from Himawari-8 AHI Data Based on Random Forest. Remote Sensing (2072-4292),12, 181

[13]Zhang, W., Zhang, X.*, Li, W., Hou, N., Wei, Y., Jia, K., Yao, Y., & Cheng,J. (2019). Evaluation of Bayesian Multimodel Estimation in Surface IncidentShortwave Radiation Simulation over High Latitude Areas. Remote Sensing (2072-4292),11, 1776

[14]Zhang, X.* Wang, D., Liu, Q., Yao, Y., Jia, K., He, T., Jiang, B., Wei,Y., Ma, H., Zhao, X., Li, W., & Liang, S. (2019). An Operational Approachfor Generating the Global Land Surface Downward Shortwave Radiation Productfrom MODIS Data. IEEE Transactions on Geoscience and Remote Sensing (0196-2892;1558-0644), 57, 4636-4650

[15]Wei, Y., Zhang, X.*, Hou, N., Zhang, W., Jia, K., & Yao, Y. (2019).Estimation of surface downward shortwave radiation over China from AVHRR databased on four machine learning methods. Solar Energy (1471-1257;0038-092X), 177, 32-46

[16]Yang, L., Zhang, X.*, Liang, S., Yao, Y., Jia, K., & Jia, A. (2018).Estimating Surface Downward Shortwave Radiation over China Based on theGradient Boosting Decision Tree Method. Remote Sensing (2072-4292),10, 185

[17] Zhang, X.*, Liang,S., Wang, G., Yao, Y., Jiang, B., & Cheng, J. (2016). Evaluation of theReanalysis Surface Incident Shortwave Radiation Products from NCEP, ECMWF,GSFC, and JMA Using Satellite and Surface Observations. Remote Sensing,8, 225

[18] Zhang, X.*, Liang, S., Song, Z., Niu, H., Wang, G.,Tang, W., Chen, Z., & Jiang, B. (2016). Local Adaptive Calibration of theSatellite-Derived Surface Incident Shortwave Radiation Product Using SmoothingSpline. IEEE Transactions on Geoscience and Remote Sensing, 54,1156-1169

[19] Zhang, X.*, Liang, S., Wild, M., & Jiang, B.(2015). Analysis of surface incident shortwave radiation from four satelliteproducts. Remote Sensing of Environment, 165, 186-202

[20] Zhang, X.*, Liang, S., Zhou, G., Wu, H., & Zhao,X. (2014). Generating Global LAnd Surface Satellite incident shortwaveradiation and photosynthetically active radiation products from multiplesatellite data. Remote Sensing of Environment, 152, 318-332

[21] Wu, H., Zhang X.*, Liang S., Yang H., and Zhou G. (2012),Estimation of clear-sky land surface longwave radiation from MODIS dataproducts by merging multiple models, Journal of Geophysical Research:Atmospheres, 117, D22107