中国科学院地理科学与资源研究所所长、二级研究员，中国科学院特聘核心岗位，中国科学院先导专项首席科学家，国家杰出青年科学基金获得者，欧洲地球科学学会杰出青年科学家奖获得者，长期从事陆地表层水热平衡格局及全球变化灾害风险研究。获清华大学学士、博士学位，清华大学优秀博士论文一等奖，曾任职东京大学、澳大利亚国立大学，曾担任中国科学院新疆生态与地理研究所副所长、干旱区生态安全与可持续发展全国重点实验室（筹）主任、阿克苏农田生态国家研究观测站站长；曾获中国科学院海外杰出人才计划（终期评估优秀），国家高层次人才特殊支持计划；兼任Environmental Research Letters常务编委、Earth System Dynamics编委等。在Science、PNAS等国际高影响期刊发表论文百余篇，获美国地球物理学会《Water Resources Research》年度最佳论文奖（首位华人获奖），在欧洲地球科学学会、中国生态学大会等国内外重要会议做大会特邀报告十余次。
研究领域：自然地理学
研究方向：全球变化，水文学及水资源，灾害风险
主要工作经历
2007年—2009年 东京大学 Oki-Kanae全球水循环与水资源研究组 博士后
2009年—2011年 澳大利亚国立大学 Graham Farquhar环境生物学研究组 博士后
2011年—2014年 澳大利亚国立大学 气候系统科学卓越中心 讲 师
2014年—2019年 中国科学院地理科学与资源研究所 研究员
（其间: 2017年—2019年 综合办公室主任；
2019年—2023年 中国科学院新疆生态与地理研究所 副所长、党委委员
（其间: 2019年—2023年 学位委员会副主任；
2022年—2023年 学术委员会副主任；
2019年—2023年 阿克苏农田生态国家研究观测站站长；
2020年—2023年 荒漠与绿洲生态国家重点实验室副主任；
2023年—2024年 干旱区生态安全与可持续发展全国重点实验室（筹）主任）
2024年— 中国科学院地理科学与资源研究所 所长、研究员
主要学习经历
1998年--2002年 清华大学 水利水电建筑工程专业 本科学习
2002年--2007年 清华大学 水利工程专业 博士（直博）
主要荣誉与学术职务
2023：中国科学院先导专项首席科学家
2022：中国科学院特聘核心岗位
2021：二级研究员
2021：Environmental Research Letter, Executive Editor
2020：国家杰出青年科学基金
2019：国家高层次人才特殊支持计划
2019：中国科学院海外杰出人才计划（终期评估优秀）
2016：Earth System Dynamics, Editor
2014：欧洲地球科学学会（EGU）杰出青年科学家奖（Outstanding Young Scientists Award）
2012：Water Resources Research年度最佳论文奖（前1%，首位华人）
2007：清华大学优秀博士论文一等奖（前1%)
2007：清华大学优秀博士毕业生
2004：清华大学“一二 九”优秀辅导员奖
2001：清华大学运动会马约翰杯男子400米冠军
代表性学术成果
2025年
[1] Zou, S., Sun, F*., De Maeyer, P., Van De Voorde, T., Duan, W. (2025). Escalating socioeconomic exposure to extreme heat in China: a CMIP6-based analysis of future heatwaves across regions and scenarios. Geography and Sustainability, 100374.
[2] Liu, F., Sun, F*., Wang, X., Feng, Y. (2025). Water constraints challenge large-scale solar expansion in Northwest China. Energy, 138288.
[3] Li, Z., Liu, W*., Wang, T*., Wang, H., Feng, Y., Tang, S., Sun, F. (2025). Biophysical impacts of Earth greening modulate average and extreme water availability. Geophysical Research Letters, 52(18), e2025GL117797.
[4] Feng, Y*., Sun, F., Liu, F. (2025). SHAP-powered insights into short-term drought dynamics disturbed by diurnal temperature range across China. Agricultural Water Management, 316, 109579.
[5] Xiao, J., Sun, F*., Wang, T*., Hong, W. (2025). Green and blue water response to drought modulated by background climate and vegetation. Communications Earth & Environment, 6(1), 488.
[6] Li, Z., Sun, F*., Wang, H., Wang, T. (2025). Declining contribution of plant physiological effects to global drought characteristics with rising CO2 using state‐of‐the‐art Earth system models. Earth's Future, 13(6), e2024EF005548.
[7] Kang, S., Yin, J*., Slater, L., Liu, P., Sun, F., Liu, D., Xia, J. (2025). Global flood projection and socioeconomic implications under a deep learning framework. Water Resources Research, 61(5), e2024WR037139.
[8] Feng, Y*., Sun, F., Deng, X. (2025). Attributing the divergent changes of drought from humid to dry regions across China. Journal of Hydrology, 133363.
[9] Wang, N., Sun, F*., Yang, S*., Feng, Y., Sun, H., Wang, Z. (2025). Flood fatalities and displacement influence human migration in floodplains of developing countries. Communications Earth & Environment, 6(1), 319.
[10] Zhao, C., Feng, Y*., Wang, T., Liu, W., Wang, H., Wang, N., Liu, Y., Sun, F. (2025). Revisiting spatio-temporal variation in compound dry-hot extreme events in China with newly developed nonstationary index. Atmospheric Research, 321, 108111.
[11] Tang, S., Sun, F*., Zhang, Q*., Singh, V. P., Feng, Y. (2025). Improving trans-regional hydrological modelling by combining LSTM with big hydrological data. Journal of Hydrology: Regional Studies, 58, 102257.
[12] Li, S., Ge, Q*., Sun, F., Ji, Q., Liu, W., Liu, R., Xu, D., Tao, Z. (2025). Annual 30 m land cover dataset on the Tibetan Plateau from 1990 to 2023. Scientific Data, 12(1), 510.
[13] Xiao, J., Sun, F*., Wang, T*., Wang, H. (2025). Quantifying the influence of vegetation change and multiple environmental factors on evapotranspiration in an inland river basin of the arid region from 1985 to 2020. Journal of Cleaner Production, 494, 144962.
[14] Wang, H., Sun, F., Feng, Y*., Wang, T*., Liu, W. (2025). Intensification of hourly and Small watershed flooding with rising temperatures. Journal of Hydrology, 649, 132444.
2024年
[15] Li, Z., Sun, F., Liu, W., Wang, T*., Wang, H*., Feng, Y. (2024). China’s carbon neutrality policy facilitates halving industrial water withdrawal. Environmental Research Letters, 19(11), 114082.
[16] Feng, Y*., Sun, F. (2024). Spatiotemporal dynamics of hot-dry winds in northern China: A multidimensional analysis using gridded datasets. Journal of Hydrometeorology, 25(10), 1577-1589.
[17] Bai, X., Liu, W*., Wang, T., Feng, Y., Wang, H., Lan, Z., Guo, S., Sun, F*. (2024). Large-sample detection of reservoir impacts on flow regime alteration through improved paired-catchment approach. Journal of Hydrology, 642, 131872.
[18] Wang, T*., Sun, F. (2024). Mapping and assessing drought losses in China: A process-based framework analysis. International Journal of Disaster Risk Reduction, 111, 104739.
[19] Feng, Y*., Sun, F. (2024). Changes in the severity of compound hot-dry-windy events over global land areas. Ecological Indicators, 165, 112207.
[20] Li, Z., Sun, F*., Liu, W., Wang, H., Wang, T., Feng, Y., Tang, S. (2024). Divergent impacts of evapotranspiration by plant CO2 physiological forcing on the mean and variability of water availability. Journal of Geophysical Research: Atmospheres, 129(11), e2023JD040253.
[21] Xiao, J., Sun, F*., Wang, T*., Wang, H. (2024). Estimation and validation of high-resolution evapotranspiration products for an arid river basin using multi-source remote sensing data. Agricultural Water Management, 298, 108864.
[22] Wang, N., Sun, F*., Yang, S., Liu, W., Wang, H. (2024). The heterogeneity of human flood adaptation characteristics in Central Asia based on human-flood distance. Environmental Research Letters, 19(6), 064061.
[23] Zhao, C., Feng, Y*., Liu, W., Wang, H., Wang, T., Liu, Y., Sun, F. (2024). Provincial-scale assessment of vulnerability and resilience to drought in China. Science of The Total Environment, 934, 173199.
[24] Li, Z*., Sun, F., Wang, H., Wang, T., Feng, Y. (2024). Detecting the interactions between vegetation greenness and drought globally. Atmospheric Research, 304, 107409.
[25] Frieler, K., Volkholz, J., Lange, S., Schewe, J., Mengel, M., del Rocío Rivas López, M., Otto, C., Reyer, C. P. O., Karger, D. N., Malle, J. T., Treu, S., Menz, C., Blanchard, J. L., Harrison, C. S., Petrik, C. M., Eddy, T. D., Ortega-Cisneros, K., Novaglio, C., Rousseau, Y., Watson, R. A., Stock, C., Liu, X., Heneghan, R., Tittensor, D., Maury, O., Büchner, M., Vogt, T., Wang, T., Sun, F., Sauer, I. J., Koch, J., Vanderkelen, I., Jägermeyr, J., Müller, C., Rabin, S., Klar, J., Vega del Valle, I. D., Lasslop, G., Chadburn, S., Burke, E., Gallego-Sala, A., Smith, N., Chang, J., Hantson, S., Burton, C., Gädeke, A., Li, F., Gosling, S. N., Müller Schmied, H., Hattermann, F., Wang, J., Yao, F., Hickler, T., Marcé, R., Pierson, D., Thiery, W., Mercado-Bettín, D., Ladwig, R., Ayala-Zamora, A. I., Forrest, M., and Bechtold, M. (2024). Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a). Geoscientific Model Development, 17(1), 1-51.
2023年
[26] Guo, S., Liu, W., Wang, T., Wang, H., Feng, Y., Zhu, Y., Lan, Z., Bai, X., Sun, F*. (2023). Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China. International Journal of Climatology, 43(16), 7481-7495.
[27] Feng, Y., Sun, F*., Wang, H., Liu, F. (2023). Recent warm-season dryness/wetness dominated by hot-dry wind in Northern China. Journal of Hydrology, 627, 130436.
[28] Wang, T*., Sun, F. (2023). Integrated drought vulnerability and risk assessment for future scenarios: An indicator based analysis. Science of the Total Environment, 900, 165591.
[29] Wang, H., Sun, F., Wang, T*., Feng, Y., Liu, F., Liu, W. (2023). On the Pattern and Attribution of Pan Evaporation over China (1951–2021). Journal of Hydrometeorology, 24(11), 2023-2033.
[30] Wang, N., Sun, F., Koutsoyiannis, D., Iliopoulou, T., Wang, T., Wang, H., Liu, W., Sargentis, G., Dimitriadis, P. (2023). How can Changes in the Human‐Flood Distance Mitigate Flood Fatalities and Displacements?. Geophysical Research Letters, 50(20), e2023GL105064.
[31] Liu, F*., Sun, F., Wang, X. (2023). Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China. Applied Energy, 348, 121540.
[32] Zhao, C., Feng, Y*., Wang, T., Liu, W., Wang, H., Liu, Y., Sun, F. (2023). Projected changes in socioeconomic exposure to compound hot–dry/hot–wet days in China under CMIP6 forcing scenarios. Theoretical and Applied Climatology, 154(1), 601-612.
[33] Wang, H., Sun, F*., Liu, F., Wang, T., Liu, W., Feng, Y. (2023). Reconstruction of the pan evaporation based on meteorological factors with machine learning method over China. Agricultural Water Management, 287, 108416.
[34] Liu, F*., Wang, X., Sun, F., Wang, H. (2023). Wind resource droughts in China. Environmental Research Letters, 18(9), 094015.
[35] Liu, H., Wang, T., Feng, Y., Liu, F., Wang, N., Wang, H., Sun, F. (2023). Identifying Reservoir-Induced Hydrological Alterations in the Upper Yangtze River Basin through Statistical and Modeling Approaches. Water, 15(16), 2914.
[36] Tang, S., Sun, F., Liu, W*., Wang, H*., Feng, Y., Li, Z. (2023). Optimal postprocessing strategies with LSTM for global streamflow prediction in ungauged basins. Water Resources Research, 59(7), e2022WR034352.
[37] Wang, H., Sun, F*., Liu, F., Wang, T., Feng, Y., Liu, W. (2023). The Variability of Pan Evaporation over China during 1961–2020. Journal of Hydrometeorology, 24(7), 1263-1274.
[38] Feng, Y., Wang, H*., Sun, F., Liu, W. (2023). Dependence of compound hot and dry extremes on individual ones across China during 1961–2014. Atmospheric Research, 283, 106553.
[39] Wang, X., Ge, Q., Geng, X., Wang, Z., Gao, L., Bryan, B. A., Chen, S., Su, Y., Cai,D., Ye, J. S., Sun, J., Lu, H., Che, H., Cheng, Hong., Liu, H., Liu, B. L., Dong, Z. B., Cao, S., Hua, T., Chen, S., Sun, F., Luo, G., Wang, Z., Hu, S., Xu, D., Chen, M., Li, D., Liu, F., Xu, X., Han, D., Zheng, Y., Xiao, F., Li, X., Wang, P., Chen, F*. (2023). Unintended consequences of combating desertification in China. Nature Communications, 14(1), 1139.
[40] Feng, Y., Wang, H*., Liu, W., Sun, F. (2023). Global Soil Moisture–Climate Interactions during the Peak Growing Season. Journal of Climate, 36(4), 1187-1196.
[41] Feng, Y., Liu, W*., Wang, H., Liu, F., Sun, F. (2023). Multifaceted characteristics of summer heat and affected population across China under climate change. Climate Dynamics, 61(5), 2173-2187.
[42] Liu, F*., Wang, X., Sun, F., Kleidon, A. (2023). Potential impact of global stilling on wind energy production in China. Energy, 263, 125727.
[43] Wang, T*., Sun, F. (2023). Socioeconomic exposure to drought under climate warming and globalization: The importance of vegetation‐CO2 feedback. International Journal of Climatology, 43(12), 5778-5796.
[44] Feng, Y., Sun, F*., Liu, F. (2023). Temporal and spatial variations of multivariate hot, dry and windy climate extremes in Northwest China. International Journal of Climatology, 43(16), 8005-8018.
2022年
[45] Wang, N., Sun, F., Wang, H*., Liu, W. (2022). Effects of cryospheric hydrological processes on future flood inundation and the subsequent socioeconomic exposures in Central Asia. Environmental Research Letters, 17(12), 124020.
[46] Liu, W., Sun, F*., Ju, C., Zhang, X., Cai, T., Lan, Z. (2022). Eco-hydrological responses of the Black Dragon fire in three forested basins in the Daxing’an Mountains, northeast China. Ecological Indicators, 145, 109623.
[47] Liu, F., Wang, X*., Sun, F*., Wang, H., Wu, L., Zhang, X., Liu, W., Che, H. (2022). Correction of overestimation in observed land surface temperatures based on machine learning models. Journal of Climate, 35(16), 5359-5377.
[48] Wang, T., Sun, F*. (2022). Global gridded GDP data set consistent with the shared socioeconomic pathways. Scientific data, 9(1), 221.
[49] Hao, Y., Sun, F*., Wang, H., Liu, W., Shen, Y. J., Li, Z., Hu, S. (2022). Understanding climate-induced changes of snow hydrological processes in the Kaidu River Basin through the CemaNeige-GR6J model. Catena, 212, 106082.
[50] Feng, Y., Sun, F., Liu, W*., Chen, J., Wang, H., Guo, Q., Wang, Y., Zhang, Q., Sang, Y. F. (2022). Changes in compound hot and dry day and population exposure across China under climate change. International Journal of Climatology, 42(5), 2935-2949.
[51] Feng, Y., Wang, H*., Liu, W., Sun, F., Cui, H. (2022). Comparative study of multiple heat indices in revisiting summer heat across China based on meteorological observations. Progress in Physical Geography: Earth and Environment, 46(2), 291-309.
2021年
[52] Tang, S., Wang, H*., Feng, Y., Liu, Q., Wang, T., Liu, W., Sun, F. (2021). Random forest-based reconstruction and application of the GRACE terrestrial water storage estimates for the Lancang-Mekong River Basin. Remote Sensing, 13(23), 4831.
[53] Wang, N., Liu, W*., Wang, H., Sun, F., Duan, W., Li, Z., Chen, Y. (2021). Improving streamflow and flood simulations in three headwater catchments of the Tarim River based on a coupled glacier-hydrological model. Journal of Hydrology, 603, 127048.
[54] Liu, W., Sun, F*., Feng, Y., Li, C., Chen, J., Sang, Y. F., Zhang, Q. (2021). Increasing population exposure to global warm-season concurrent dry and hot extremes under different warming levels. Environmental Research Letters, 16(9), 094002.
[55] Liu, W., Yang, T., Sun, F*., Wang, H., Feng, Y., Du, M. (2021). Observation‐constrained projection of global flood magnitudes with anthropogenic warming. Water Resources Research, 57(3), e2020WR028830.
[56] Wang, H*., Sun, F. (2021). Variability of annual sediment load and runoff in the Yellow River for the last 100 years (1919–2018). Science of the Total Environment, 758, 143715.
[57] Feng, Y., Liu, W*., Sun, F., Wang, H. (2021). Changes of compound hot and dry extremes on different land surface conditions in China during 1957–2018. International Journal of Climatology, 41, E1085-E1099.
2020年
[58] Quan, Q., Zhang, F., Meng, C., Ma, F., Zhou, Q., Sun, F., Niu, S*. (2020). Shifting biomass allocation determines community water use efficiency under climate warming. Environmental Research Letters, 15(9), 094041.
[59] Wang, H*., Sun, F*., Liu, W. (2020). Characteristics of streamflow in the main stream of Changjiang River and the impact of the Three Gorges Dam. Catena, 189, 104498.
[60] Du, M., Kleidon, A*., Sun, F*., Renner, M., Liu, W. (2020). Stronger global warming on nonrainy days in observations from China. Journal of Geophysical Research: Atmospheres, 125(10), e2019JD031792.
[61] Wang, H*., Sun, F*. (2020). On the stationarity of annual precipitation over China (1959–2018). Journal of Hydrometeorology, 21(5), 881-890.
[62] Wang, N., Liu, W*., Sun, F*., Yao, Z., Wang, H., Liu, W. (2020). Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China. Atmospheric Research, 234, 104746.
2019年
[63] Yang, T., Sun, F*., Gentine, P., Liu, W., Wang, H., Yin, J., Du, M., Liu, C. (2019). Evaluation and machine learning improvement of global hydrological model-based flood simulations. Environmental Research Letters, 14(11), 114027.
[64] Liu, W., Sun, F*., Sun, S., Guo, L., Wang, H., Cui, H. (2019). Multi-scale assessment of eco-hydrological resilience to drought in China over the last three decades. Science of the total environment, 672, 201-211.
[65] Guo, L., Shan, N*., Zhang, Y., Sun, F., Liu, W., Shi, Z., & Zhang, Q. (2019). Separating the effects of climate change and human activity on water use efficiency over the Beijing-Tianjin Sand Source Region of China. Science of the total environment, 690, 584-595.
[66] Guo, L., Sun, F*., Liu, W., Zhang, Y., Wang, H., Cui, H., Wang, H., Zhang, J., Du, B. (2019). Response of ecosystem water use efficiency to drought over China during 1982–2015: Spatiotemporal Variability and Resilience. Forests, 10(7), 598.
[67] Zhang, J., Sun, F*., Lai, W., Lim, W. H., Liu, W., Wang, T., Wang, P. (2019). Attributing changes in future extreme droughts based on PDSI in China. Journal of hydrology, 573, 607-615.
[68] Zhang, J., Sun, F*., Liu, W., Liu, J., Wang, H. (2019). Spatio-temporal patterns of drought evolution over the Beijing-Tianjin-Hebei region, China. Journal of Geographical Sciences, 29, 863-876.
[69] Liu, W., Sun, F*. (2019). Increased adversely-affected population from water shortage below normal conditions in China with anthropogenic warming. Science Bulletin, 64(9), 567-569.
[70] Yang, T., Sun, F*., Liu, W., Wang, H., Wang, T., Liu, C. (2019). Using Geo‐detector to attribute spatio‐temporal variation of pan evaporation across China in 1961–2001. International Journal of Climatology, 39(5), 2833-2840.
[71] Zhan, C., Han, J., Zou, L., Sun, F., Wang, T. (2019). Heteroscedastic and symmetric efficiency for hydrological model evaluation criteria. Hydrology Research, 50(5), 1189-1201.
[72] Randall, M., Sun, F., Zhang, Y., & Jensen, M. B. (2019). Evaluating Sponge City volume capture ratio at the catchment scale using SWMM. Journal of environmental management, 246, 745-757.
[73] Liu, F., Sun, F*., Liu, W., Wang, T., Wang, H., Wang, X., & Lim, W. H. (2019). On wind speed pattern and energy potential in China. Applied Energy, 236, 867-876.
2018年
[74] Sun, F., Roderick, M. L., Farquhar, G. D*. (2018). Rainfall statistics, stationarity, and climate change. Proceedings of the National Academy of Sciences, 115(10), 2305-2310.
[75] Wang, H., Sun, F*., Liu, W. (2018). The dependence of daily and hourly precipitation extremes on temperature and atmospheric humidity over China. Journal of Climate, 31(21), 8931-8944.
[76] Liu, W*., Wang, L., Sun, F*., Li, Z., Wang, H., Liu, J., Qi, J. (2018). Snow hydrology in the upper Yellow River basin under climate change: A land surface modeling perspective. Journal of Geophysical Research: Atmospheres, 123(22), 12-676.
[77] Wang, T., Sun, F*., Xia, J., Liu, W., Sang, Y., Wang, H. (2018). An experimental detrending approach to attributing change of pan evaporation in comparison with the traditional partial differential method. Journal of hydrology, 564, 501-508.
[78] Lim, W. H., Yamazaki, D., Koirala, S., Hirabayashi, Y., Kanae, S., Dadson, S. J., Sun, F*. (2018). Long‐term changes in global socioeconomic benefits of flood defenses and residual risk based on CMIP5 climate models. Earth's Future, 6(7), 938-954.
[79] Liu, W., Lim, W. H., Sun, F*., Mitchell, D., Wang, H., Chen, D., Fischer, E. (2018). Global freshwater availability below normal conditions and population impact under 1.5 and 2 C stabilization scenarios. Geophysical Research Letters, 45(18), 9803-9813.
[80] Wang, T., Sun, F*., Lim, W. H., Wang, H., Liu, W., Liu, C. (2018). The Predictability of annual evapotranspiration and runoff in humid and nonhumid catchments over China: Comparison and quantification. Journal of Hydrometeorology, 19(3), 533-545.
[81] Wang, T., Sun, F*., Ge, Q., Kleidon, A., Liu, W. (2018). The effect of elevation bias in interpolated air temperature data sets on surface warming in China during 1951–2015. Journal of Geophysical Research: Atmospheres, 123(4), 2141-2151.
[82] Liu, W., Sun, F*., Lim, W. H., Zhang, J., Wang, H., Shiogama, H., Zhang, Y. (2018). Global drought and severe drought-affected populations in 1.5 and 2∘ C warmer worlds. Earth System Dynamics, 9(1), 267-283.
[83] Liu, W., Sun, F*., Li, Y., Zhang, G., Sang, Y. F., Lim, W. H., Bai, P. (2018). Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets. Hydrology and Earth System Sciences, 22(1), 351-371.
[84] Wang, H., Sun, F*., Wang, T., & Liu, W. (2018). Estimation of daily and monthly diffuse radiation from measurements of global solar radiation a case study across China. Renewable energy, 126, 226-241.
[85] Wang, H., Sun, F*., Liu, W. (2018). Spatial and temporal patterns as well as major influencing factors of global and diffuse Horizontal Irradiance over China: 1960–2014. Solar Energy, 159, 601-615.
[86] Sang, Y. F., Sun, F*., Singh, V. P., Xie, P., Sun, J. (2018). A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data. Hydrology and Earth System Sciences, 22(1), 757-766.
[87] Chen, J., Liu, Y., Pan, T., Liu, Y., Sun, F., Ge, Q. (2018). Population exposure to droughts in China under the 1.5 C global warming target. Earth System Dynamics, 9(3), 1097-1106.
2017年
[88] Liu, W., Sun, F*. (2017). Projecting and attributing future changes of evaporative demand over China in CMIP5 climate models. Journal of Hydrometeorology, 18(4), 977-991.
[89] Wang, H., Sun, F*., Xia, J., Liu, W. (2017). Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China. Hydrology and Earth System Sciences, 21(4), 1929-1945.
[90] Wang, T., Zhang, J., Sun, F*., Liu, W. (2017). Pan evaporation paradox and evaporative demand from the past to the future over China: a review. Wiley Interdisciplinary Reviews: Water, 4(3), e1207.
[91] Zhang, Y., Chiew, F. H., Peña‐Arancibia, J., Sun, F., Li, H., Leuning, R. (2017). Global variation of transpiration and soil evaporation and the role of their major climate drivers. Journal of Geophysical Research: Atmospheres, 122(13), 6868-6881.
[92] Liu, F., Zhang, G. H., Sun, F., Wang, H., Sun, L. (2017). Quantifying the surface covering, binding and bonding effects of biological soil crusts on soil detachment by overland flow. Earth Surface Processes and Landforms, 42(15), 2640-2648.
2016年
[93] Liu, W., Sun, F*. (2016). Assessing estimates of evaporative demand in climate models using observed pan evaporation over China. Journal of Geophysical Research: Atmospheres, 121(14), 8329-8349.
[94] Zhang, J., Sun, F*., Xu, J., Chen, Y., Sang, Y. F., Liu, C. (2016). Dependence of trends in and sensitivity of drought over China (1961–2013) on potential evaporation model. Geophysical Research Letters, 43(1), 206-213.
[95] Sang, Y. F., Singh, V. P., Gong, T., Xu, K., Sun, F., Liu, C., Chen, R. (2016). Precipitation variability and response to changing climatic condition in the Yarlung Tsangpo River basin, China. Journal of Geophysical Research: Atmospheres, 121(15), 8820-8831.
[96] Du, C., Sun, F., Yu, J., Liu, X., Chen, Y. (2016). New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions. Hydrology and Earth System Sciences, 20(1), 393-409.
[97] Liu, W., Wang, L., Zhou, J., Li, Y., Sun, F., Fu, G., Sang, Y. F. (2016). A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method. Journal of Hydrology, 538, 82-95.
[98] Sang, Y. F., Singh, V. P., Sun, F., Chen, Y., Liu, Y., Yang, M. (2016). Wavelet-based hydrological time series forecasting. Journal of Hydrologic Engineering, 21(5), 06016001.
[99] Zhang, Y., Sun, F., Pan, M., Van Niel, T., Wegehenkel, M. (2016). Hydrological processes in changing climate, land use, and cover change. Advances in Meteorology, 2016.
2006年-2015年
[100] Zeng, S., Zhan, C., Sun, F., Du, H., Wang, F. (2015). Effects of climate change and human activities on surface runoff in the Luan River Basin. Advances in Meteorology, 2015, 1-12.
[101] Wang, Y., Shen, Y., Sun, F., Chen, Y. (2014). Evaluating the vegetation growing season changes in the arid region of northwestern China. Theoretical and applied climatology, 118, 569-579.
[102] Roderick, M. L., Sun, F., Lim, W. H., Farquhar, G. D. (2014). A general framework for understanding the response of the water cycle to global warming over land and ocean. Hydrology and Earth System Sciences, 18(5), 1575-1589.
[103] Yin, D., Roderick, M. L., Leech, G., Sun, F., Huang, Y. (2014). The contribution of reduction in evaporative cooling to higher surface air temperatures during drought. Geophysical Research Letters, 41(22), 7891-7897.
[104] Zhan, C., Jiang, S., Sun, F., Jia, Y., Niu, C., Yue, W. (2014). Quantitative contribution of climate change and human activities to runoff changes in the Wei River basin, China. Hydrology and Earth System Sciences, 18(8), 3069-3077.
[105] Wang, Y., Roderick, M. L., Shen, Y., Sun, F. (2014). Attribution of satellite-observed vegetation trends in a hyper-arid region of the Heihe River basin, Western China. Hydrology and Earth System Sciences, 18(9), 3499-3509.
[106] Sun, F., Roderick, M. L., Farquhar, G. D. (2012). Changes in the variability of global land precipitation. Geophysical Research Letters, 39(19).
[107] Roderick, M. L., Sun, F., Farquhar, G. D. (2012). Water cycle varies over land and sea. Science, 336(6086), 1230-1231.
[108] Zhang, Y., Leuning, R., Chiew, F. H., Wang, E., Zhang, L., Liu, C., Sun, F., Jung, M. (2012). Decadal trends in evaporation from global energy and water balances. Journal of Hydrometeorology, 13(1), 379-391.
[109] Lim, W. H., Roderick, M. L., Hobbins, M. T., Wong, S. C., Groeneveld, P. J., Sun, F., Farquhar, G. D. (2012). The aerodynamics of pan evaporation. Agricultural and Forest Meteorology, 152, 31-43.
[110] Sun, F., Roderick, M. L., Lim, W. H., & Farquhar, G. D. (2011). Hydroclimatic projections for the Murray‐Darling Basin based on an ensemble derived from Intergovernmental Panel on Climate Change AR4 climate models. Water Resources Research, 47(12).
[111] He, B., Oki, T., Sun, F., Komori, D., Kanae, S., Wang, Y., Yamazaki, D. (2011). Estimating monthly total nitrogen concentration in streams by using artificial neural network. Journal of environmental management, 92(1), 172-177.
[112] Shao, W., Yang, D., Sun, F., Wang, J. (2011). Analyzing the regional soil-vegetation-atmosphere interaction using both the Eagleson and Budyko's water balance models. Procedia Environmental Sciences, 10, 1908-1913.
[113] Sun, F., Roderick, M. L., Farquhar, G. D., Lim, W. H., Zhang, Y., Bennett, N., Roxburgh, S. H. (2010). Partitioning the variance between space and time. Geophysical Research Letters, 37(12).
[114] Yang, H., Yang, D., Lei, Z., Sun, F., Cong, Z. (2009). Variability of complementary relationship and its mechanism on different time scales. Science in China Series E: Technological Sciences, 52(4), 1059-1067.
[115] Yang, H., Yang, D., Lei, Z., Sun, F. (2008). New analytical derivation of the mean annual water‐energy balance equation. Water resources research, 44(3).
[116] Yang, D., Sun, F., Liu, Z., Cong, Z., Ni, G., Lei, Z. (2007). Analyzing spatial and temporal variability of annual water‐energy balance in nonhumid regions of China using the Budyko hypothesis. Water resources research, 43(4).
[117] Yang, D., Sun, F., Liu, Z., Cong, Z., Lei, Z. (2006). Interpreting the complementary relationship in non‐humid environments based on the Budyko and Penman hypotheses. Geophysical Research Letters, 33(18).
招生专业：自然地理学
招生方向：全球变化、水文水资源，灾害风险
联系方式
电子邮件：sunfb@igsnrr.ac.cn
在线留言
联系我们
所长信箱