导师介绍

孙福宝

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SciencePNAS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—2009东京大学  Oki-Kanae全球水循环与水资源研究组                       博士后

2009—2011澳大利亚国立大学    Graham Farquhar环境生物学研究组              博士后

2011—2014澳大利亚国立大学    气候系统科学卓越中心                             

2014—2019中国科学院地理科学与资源研究所                                   研究员

(其间:  2017—2019综合办公室主任

        2016—2018 河西学院(挂职)副院长

2019—2023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—2023学位委员会副主任;

        2022—2023学术委员会副主任;

        2019—2023阿克苏农田生态国家研究观测站站长;

        2020—2023荒漠与绿洲生态国家重点实验室副主任;

        2023—2024干旱区生态安全与可持续发展全国重点实验室(筹)主任

2024—      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--2002 清华大学 水利水电建筑工程专业        本科学习

2002--2007 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

2021Environmental 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)

2016Earth 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

2012Water 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 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

2023

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] Liu, F*., Wang, X., Sun, F., Wang, H. (2023). Wind resource droughts in China. Environmental Research Letters, 18(9), 094015.

[10] 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.

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] Liu, F*., Wang, X., Sun, F.,  Kleidon, A. (2023). Potential impact of global stilling on wind energy production in China. Energy, 263, 125727.

[18] 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.

[19] 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

[20] 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.

[21] 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.

[22] 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.

[23] Wang, T., Sun, F*. (2022). Global gridded GDP data set consistent with the shared socioeconomic pathways. Scientific data, 9(1), 221.

[24] 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.

[25] 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.

[26] 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

[27] 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.

[28] 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.

[29] 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.

[30] 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.

[31] 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.

[32] 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

[33] 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.

[34] 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.

[35] 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.

[36] Wang, H*., Sun, F*. (2020). On the stationarity of annual precipitation over China (1959–2018). Journal of Hydrometeorology, 21(5), 881-890.

[37] 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

[38] 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.

[39] 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.

[40] 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.

[41] 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.

[42] 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.

[43] 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.

[44] 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.

[45] 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.

[46] 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.

[47] 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.

[48] 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

[49] 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.

[50] 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.

[51] 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.

[52] 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.

[53] 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.

[54] 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.

[55] 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.

[56] 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.

[57] 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.

[58] 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.

[59] 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.

[60] 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.

[61] 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.

[62] 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

[63] 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.

[64] 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.

[65] 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.

[66] 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.

[67] 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

[68] 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.

[69] 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.

[70] 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.

[71] 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.

[72 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.

[73] 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.

[74] 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.

2006-2015

[75] 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.

[76] 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.

[77] 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.

[78] 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.

[79] 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.

[80] 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.

[81] Sun, F., Roderick, M. L., Farquhar, G. D. (2012). Changes in the variability of global land precipitation. Geophysical Research Letters, 39(19).

[82] Roderick, M. L., Sun, F., Farquhar, G. D. (2012). Water cycle varies over land and sea. Science, 336(6086), 1230-1231.

[83] 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.

[84] 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.

[85] 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).

[86] 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.

[87] 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.

[88] 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).

[89] 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.

[90] 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).

[91] 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).

[92] 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