基本信息
赵罡 男 中国科学院地理科学与资源研究所
电子邮件： gzhao@igsnrr.ac.cn
通信地址： 朝阳区大屯路甲11号地理资源所C310
邮政编码：100101
研究领域
遥感水文，气候变化，流域模型，陆地水体
招生信息
自然地理学，全球变化水文学
招生专业
070501-自然地理学
招生方向
遥感水文，气候变化，陆地水体，水量水质
教育背景
2015-01--2018-12 德克萨斯A&M大学 博士
2013-08--2014-12 德克萨斯A&M大学 硕士
2008-08--2012-06 南开大学 本科
2013-08--2014-12 德克萨斯A&M大学 硕士
2008-08--2012-06 南开大学 本科
工作经历
工作简历
2023-12~现在, 中国科学院地理科学与资源研究所, 研究员
2022-11~2023-12,中国科学院地理科学与资源研究所, 副研究员
2020-06~2022-10,卡内基科学研究所, 研究助理
2018-06~2020-06,德克萨斯A&M大学, 博士后
2022-11~2023-12,中国科学院地理科学与资源研究所, 副研究员
2020-06~2022-10,卡内基科学研究所, 研究助理
2018-06~2020-06,德克萨斯A&M大学, 博士后
出版信息
发表论文
[1] Zhendong Zhang, Xu Li, Chaodong Zhou, Yanhui Zhao, Gang Zhao, Qiuhong Tang. Linking ground ice and glacier melting to lake volume change in the Dogai Coring watershed on the Tibetan Plateau. JOURNAL OF HYDROLOGY. 2024, 629: http://dx.doi.org/10.1016/j.jhydrol.2023.130581.
[2] Li, Yao, Zhao, Gang, Allen, George H, Gao, Huilin. Diminishing storage returns of reservoir construction. NATURE COMMUNICATIONS[J]. 2023, 14(1): http://dx.doi.org/10.1038/s41467-023-38843-5.
[3] Zhao, Gang, Merder, Julian, Ballard, Tristan C, Michalak, Anna M. Warming may offset impact of precipitation changes on riverine nitrogen loading. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA[J]. 2023, 120(33): http://dx.doi.org/10.1073/pnas.2220616120.
[4] Liang, Zhongyao, Xu, Yaoyang, Zhao, Gang, Lu, Wentao, Fu, Zhenghui, Wang, Shuhang, Wagner, Tyler. Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING[J]. 2023, 17(6): 153-163, http://dx.doi.org/10.1007/s11783-023-1676-2.
[5] Shao, Manqing, Fernando, Nelun, Zhu, John, Zhao, Gang, Kao, ShihChieh, Zhao, Bingjie, Roberts, Elizabeth, Gao, Huilin. Estimating Future Surface Water Availability Through an Integrated Climate-Hydrology-Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios. WATER RESOURCES RESEARCH[J]. 2023, 59(7): http://dx.doi.org/10.1029/2022WR034099.
[6] Zhao, Bingjie, Kao, ShihChieh, Zhao, Gang, Gangrade, Sudershan, Rastogi, Deeksha, Ashfaq, Moetasim, Gao, Huilin. Evaluating Enhanced Reservoir Evaporation Losses From CMIP6-Based Future Projections in the Contiguous United States. EARTHS FUTURE[J]. 2023, 11(3): https://www.doi.org/10.1029/2022EF002961.
[7] Zhou, Yuanyuan, Tang, Qiuhong, Zhao, Gang. Gap infilling of daily streamflow data using a machine learning algorithm (MissForest) for impact assessment of human activities. JOURNAL OF HYDROLOGY[J]. 2023, 627: http://dx.doi.org/10.1016/j.jhydrol.2023.130404.
[8] Wang, Runzi, Ma, Yueying, Zhao, Gang, Zhou, Yuhan, Shehab, Isabella, Burton, Allen. Investigating water quality sensitivity to climate variability and its influencing factors in four Lake Erie watersheds. JOURNAL OF ENVIRONMENTAL MANAGEMENT[J]. 2023, 325: http://dx.doi.org/10.1016/j.jenvman.2022.116449.
[9] Zhao, Rongtian, Liu, Xingcai, Dong, Jinwei, Zhao, Gang, Manevski, Kiril, Andersen, Mathias Neumann, Tang, Qiuhong. Human activities modulate greening patterns: a case study for southern *** in China based on long time series analysis. ENVIRONMENTAL RESEARCH LETTERS[J]. 2022, 17(4): http://dx.doi.org/10.1088/1748-9326/ac58a9.
[10] Binxiao Liu, Qiuhong Tang, Gang Zhao, Liang Gao, Chaopeng Shen, Baoxiang Pan. Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin. WATER[J]. 2022, 14(9): http://dx.doi.org/10.3390/w14091429.
[11] Deng, Haoxin, Tang, Qiuhong, Yun, Xiaobo, Tang, Yin, Liu, Xingcai, Xu, Ximeng, Sun, Siao, Zhao, Gang, Zhang, Yongyong, Zhang, Yongqiang. Wetting trend in Northwest China reversed by warmer temperature and drier air. JOURNAL OF HYDROLOGY[J]. 2022, 613: 9-, http://dx.doi.org/10.1016/j.jhydrol.2022.128435.
[12] Qiuhong Tang, Xingcai Liu, Yuanyuan Zhou, Puyu Wang, Zhongqin Li, Zhixin Hao, Suxia Liu, Gang Zhao, Bingqi Zhu, Xinlin He, Fadong Li, Guang Yang, Li He, Haoxin Deng, Zongxia Wang, Xiang Ao, Zhi Wang, Paul PJ Gaffney, Lifeng Luo. Climate change and water security in the northern slope of the Tianshan Mountains. GEOGRAPHY AND SUSTAINABILITY[J]. 2022, 3(3): 246-257, http://dx.doi.org/10.1016/j.geosus.2022.08.004.
[13] Zhao, Gang, Li, Yao, Zhou, Liming, Gao, Huilin. Evaporative water loss of 1.42 million global lakes. NATURE COMMUNICATIONS[J]. 2022, 13(1): http://dx.doi.org/10.1038/s41467-022-31125-6.
[14] Hou, Yuxuan, Zhao, Gang, Chen, Xiaohong, Yu, Xuan. Improving Satellite Retrieval of Coastal Aquaculture Pond by Adding Water Quality Parameters. REMOTE SENSING[J]. 2022, 14(14): https://doaj.org/article/2aeb784567e5461f903bf797fded1aae.
[15] Li, Xudong, Rankin, Cheryl, Gangrade, Sudershan, Zhao, Gang, Lander, Kris, Voisin, Nathalie, Shao, Manqing, MoralesHernandez, Mario, Kao, ShihChieh, Gao, Huilin. Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed. JOURNAL OF HYDROLOGY[J]. 2021, 603: http://dx.doi.org/10.1016/j.jhydrol.2021.127126.
[16] Huang, Xiao, Zhao, Gang, Zorn, Conrad, Tao, Fulu, Ni, Shaoqiang, Zhang, Wenyuan, Tu, Tongbi, Hoglind, Mats. Grass modelling in data-limited areas by incorporating MODIS data products. FIELD CROPS RESEARCH[J]. 2021, 271: http://dx.doi.org/10.1016/j.fcr.2021.108250.
[17] Li, Yao, Zhao, Gang, Shah, Deep, Zhao, Maosheng, Sarkar, Sudipta, Devadiga, Sadashiva, Zhao, Bingjie, Zhang, Shuai, Gao, Huilin. NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data. REMOTE SENSING[J]. 2021, 13(4): https://doaj.org/article/db1708e348c549d4a08eb04744c9c6dd.
[18] Zhao, Gang, Gao, Huilin, Kao, ShihChieh. The implications of future climate change on the blue water footprint of hydropower in the contiguous US*. ENVIRONMENTAL RESEARCH LETTERS[J]. 2021, 16(3): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000617174900001.
[19] Shao, Manqing, Zhao, Gang, Kao, ShihChieh, Cuo, Lan, Rankin, Cheryl, Gao, Huilin. Quantifying the effects of urbanization on floods in a changing environment to promote water security - A case study of two adjacent basins in Texas. JOURNAL OF HYDROLOGY[J]. 2020, 589: http://dx.doi.org/10.1016/j.jhydrol.2020.125154.
[20] Li, Yao, Gao, Huilin, Zhao, Gang, Tseng, KuoHsin. A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 244: http://dx.doi.org/10.1016/j.rse.2020.111831.
[21] Zhao, Gang, Gao, Huilin, Cai, Ximing. Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 251: http://dx.doi.org/10.1016/j.rse.2020.112104.
[22] Li, Xudong, Zhao, Gang, NielsenGammon, John, Salazar, Joel, Wigmosta, Mark, Sun, Ning, Judi, David, Gao, Huilin. Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey. ENVIRONMENTAL RESEARCH LETTERS[J]. 2020, 15(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000591792500001.
[23] Zhao, Gang, Gao, Huilin. Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches. REMOTE SENSING OF ENVIRONMENT[J]. 2019, 226: 109-124, http://dx.doi.org/10.1016/j.rse.2019.03.015.
[24] Zhao, Gang, Gao, Huilin. Towards Global Hydrological Drought Monitoring Using Remotely Sensed Reservoir Surface Area. GEOPHYSICAL RESEARCH LETTERS[J]. 2019, 46(22): 13027-13035, http://dx.doi.org/10.1029/2019GL085345.
[25] Sun, Shida, Zhao, Gang, Wang, Ting, Jin, Jiaxin, Wang, Peng, Lin, Yingchao, Li, Haobo, Ying, Qi, Mao, Hongjun. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030. ATMOSPHERIC ENVIRONMENT[J]. 2019, 209: 182-191, http://dx.doi.org/10.1016/j.atmosenv.2019.04.016.
[26] Gang Zhao, Huilin Gao. Automatic correction of contaminated images for assessment of reservoir surface area dynamics. GEOPHYSICAL RESEARCH LETTERS. 2018, 45(12): 6092-6099, [27] Zhao, Gang, Gao, Huilin, Kao, ShihChieh, Voisin, Nathalie, Naz, Bibi S. A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity. JOURNAL OF HYDROLOGY[J]. 2018, 563: 22-32, http://dx.doi.org/10.1016/j.jhydrol.2018.05.037.
[28] Zhao, Gang, Gao, Huilin, Naz, Bibi S, Kao, ShihChieh, Voisin, Nathalie. Integrating a reservoir regulation scheme into a spatially distributed hydrological model. ADVANCES IN WATER RESOURCES[J]. 2016, 98: 16-31, http://dx.doi.org/10.1016/j.advwatres.2016.10.014.
[29] Zhao, Gang, Gao, Huilin, Cuo, Lan. Effects of Urbanization and Climate Change on Peak Flows over the San Antonio River Basin, Texas. JOURNAL OF HYDROMETEOROLOGY[J]. 2016, 17(9): 2371-2389, http://dx.doi.org/10.1175/JHM-D-15-0216.1.
[2] Li, Yao, Zhao, Gang, Allen, George H, Gao, Huilin. Diminishing storage returns of reservoir construction. NATURE COMMUNICATIONS[J]. 2023, 14(1): http://dx.doi.org/10.1038/s41467-023-38843-5.
[3] Zhao, Gang, Merder, Julian, Ballard, Tristan C, Michalak, Anna M. Warming may offset impact of precipitation changes on riverine nitrogen loading. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA[J]. 2023, 120(33): http://dx.doi.org/10.1073/pnas.2220616120.
[4] Liang, Zhongyao, Xu, Yaoyang, Zhao, Gang, Lu, Wentao, Fu, Zhenghui, Wang, Shuhang, Wagner, Tyler. Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING[J]. 2023, 17(6): 153-163, http://dx.doi.org/10.1007/s11783-023-1676-2.
[5] Shao, Manqing, Fernando, Nelun, Zhu, John, Zhao, Gang, Kao, ShihChieh, Zhao, Bingjie, Roberts, Elizabeth, Gao, Huilin. Estimating Future Surface Water Availability Through an Integrated Climate-Hydrology-Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios. WATER RESOURCES RESEARCH[J]. 2023, 59(7): http://dx.doi.org/10.1029/2022WR034099.
[6] Zhao, Bingjie, Kao, ShihChieh, Zhao, Gang, Gangrade, Sudershan, Rastogi, Deeksha, Ashfaq, Moetasim, Gao, Huilin. Evaluating Enhanced Reservoir Evaporation Losses From CMIP6-Based Future Projections in the Contiguous United States. EARTHS FUTURE[J]. 2023, 11(3): https://www.doi.org/10.1029/2022EF002961.
[7] Zhou, Yuanyuan, Tang, Qiuhong, Zhao, Gang. Gap infilling of daily streamflow data using a machine learning algorithm (MissForest) for impact assessment of human activities. JOURNAL OF HYDROLOGY[J]. 2023, 627: http://dx.doi.org/10.1016/j.jhydrol.2023.130404.
[8] Wang, Runzi, Ma, Yueying, Zhao, Gang, Zhou, Yuhan, Shehab, Isabella, Burton, Allen. Investigating water quality sensitivity to climate variability and its influencing factors in four Lake Erie watersheds. JOURNAL OF ENVIRONMENTAL MANAGEMENT[J]. 2023, 325: http://dx.doi.org/10.1016/j.jenvman.2022.116449.
[9] Zhao, Rongtian, Liu, Xingcai, Dong, Jinwei, Zhao, Gang, Manevski, Kiril, Andersen, Mathias Neumann, Tang, Qiuhong. Human activities modulate greening patterns: a case study for southern *** in China based on long time series analysis. ENVIRONMENTAL RESEARCH LETTERS[J]. 2022, 17(4): http://dx.doi.org/10.1088/1748-9326/ac58a9.
[10] Binxiao Liu, Qiuhong Tang, Gang Zhao, Liang Gao, Chaopeng Shen, Baoxiang Pan. Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin. WATER[J]. 2022, 14(9): http://dx.doi.org/10.3390/w14091429.
[11] Deng, Haoxin, Tang, Qiuhong, Yun, Xiaobo, Tang, Yin, Liu, Xingcai, Xu, Ximeng, Sun, Siao, Zhao, Gang, Zhang, Yongyong, Zhang, Yongqiang. Wetting trend in Northwest China reversed by warmer temperature and drier air. JOURNAL OF HYDROLOGY[J]. 2022, 613: 9-, http://dx.doi.org/10.1016/j.jhydrol.2022.128435.
[12] Qiuhong Tang, Xingcai Liu, Yuanyuan Zhou, Puyu Wang, Zhongqin Li, Zhixin Hao, Suxia Liu, Gang Zhao, Bingqi Zhu, Xinlin He, Fadong Li, Guang Yang, Li He, Haoxin Deng, Zongxia Wang, Xiang Ao, Zhi Wang, Paul PJ Gaffney, Lifeng Luo. Climate change and water security in the northern slope of the Tianshan Mountains. GEOGRAPHY AND SUSTAINABILITY[J]. 2022, 3(3): 246-257, http://dx.doi.org/10.1016/j.geosus.2022.08.004.
[13] Zhao, Gang, Li, Yao, Zhou, Liming, Gao, Huilin. Evaporative water loss of 1.42 million global lakes. NATURE COMMUNICATIONS[J]. 2022, 13(1): http://dx.doi.org/10.1038/s41467-022-31125-6.
[14] Hou, Yuxuan, Zhao, Gang, Chen, Xiaohong, Yu, Xuan. Improving Satellite Retrieval of Coastal Aquaculture Pond by Adding Water Quality Parameters. REMOTE SENSING[J]. 2022, 14(14): https://doaj.org/article/2aeb784567e5461f903bf797fded1aae.
[15] Li, Xudong, Rankin, Cheryl, Gangrade, Sudershan, Zhao, Gang, Lander, Kris, Voisin, Nathalie, Shao, Manqing, MoralesHernandez, Mario, Kao, ShihChieh, Gao, Huilin. Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed. JOURNAL OF HYDROLOGY[J]. 2021, 603: http://dx.doi.org/10.1016/j.jhydrol.2021.127126.
[16] Huang, Xiao, Zhao, Gang, Zorn, Conrad, Tao, Fulu, Ni, Shaoqiang, Zhang, Wenyuan, Tu, Tongbi, Hoglind, Mats. Grass modelling in data-limited areas by incorporating MODIS data products. FIELD CROPS RESEARCH[J]. 2021, 271: http://dx.doi.org/10.1016/j.fcr.2021.108250.
[17] Li, Yao, Zhao, Gang, Shah, Deep, Zhao, Maosheng, Sarkar, Sudipta, Devadiga, Sadashiva, Zhao, Bingjie, Zhang, Shuai, Gao, Huilin. NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data. REMOTE SENSING[J]. 2021, 13(4): https://doaj.org/article/db1708e348c549d4a08eb04744c9c6dd.
[18] Zhao, Gang, Gao, Huilin, Kao, ShihChieh. The implications of future climate change on the blue water footprint of hydropower in the contiguous US*. ENVIRONMENTAL RESEARCH LETTERS[J]. 2021, 16(3): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000617174900001.
[19] Shao, Manqing, Zhao, Gang, Kao, ShihChieh, Cuo, Lan, Rankin, Cheryl, Gao, Huilin. Quantifying the effects of urbanization on floods in a changing environment to promote water security - A case study of two adjacent basins in Texas. JOURNAL OF HYDROLOGY[J]. 2020, 589: http://dx.doi.org/10.1016/j.jhydrol.2020.125154.
[20] Li, Yao, Gao, Huilin, Zhao, Gang, Tseng, KuoHsin. A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 244: http://dx.doi.org/10.1016/j.rse.2020.111831.
[21] Zhao, Gang, Gao, Huilin, Cai, Ximing. Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 251: http://dx.doi.org/10.1016/j.rse.2020.112104.
[22] Li, Xudong, Zhao, Gang, NielsenGammon, John, Salazar, Joel, Wigmosta, Mark, Sun, Ning, Judi, David, Gao, Huilin. Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey. ENVIRONMENTAL RESEARCH LETTERS[J]. 2020, 15(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000591792500001.
[23] Zhao, Gang, Gao, Huilin. Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches. REMOTE SENSING OF ENVIRONMENT[J]. 2019, 226: 109-124, http://dx.doi.org/10.1016/j.rse.2019.03.015.
[24] Zhao, Gang, Gao, Huilin. Towards Global Hydrological Drought Monitoring Using Remotely Sensed Reservoir Surface Area. GEOPHYSICAL RESEARCH LETTERS[J]. 2019, 46(22): 13027-13035, http://dx.doi.org/10.1029/2019GL085345.
[25] Sun, Shida, Zhao, Gang, Wang, Ting, Jin, Jiaxin, Wang, Peng, Lin, Yingchao, Li, Haobo, Ying, Qi, Mao, Hongjun. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030. ATMOSPHERIC ENVIRONMENT[J]. 2019, 209: 182-191, http://dx.doi.org/10.1016/j.atmosenv.2019.04.016.
[26] Gang Zhao, Huilin Gao. Automatic correction of contaminated images for assessment of reservoir surface area dynamics. GEOPHYSICAL RESEARCH LETTERS. 2018, 45(12): 6092-6099, [27] Zhao, Gang, Gao, Huilin, Kao, ShihChieh, Voisin, Nathalie, Naz, Bibi S. A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity. JOURNAL OF HYDROLOGY[J]. 2018, 563: 22-32, http://dx.doi.org/10.1016/j.jhydrol.2018.05.037.
[28] Zhao, Gang, Gao, Huilin, Naz, Bibi S, Kao, ShihChieh, Voisin, Nathalie. Integrating a reservoir regulation scheme into a spatially distributed hydrological model. ADVANCES IN WATER RESOURCES[J]. 2016, 98: 16-31, http://dx.doi.org/10.1016/j.advwatres.2016.10.014.
[29] Zhao, Gang, Gao, Huilin, Cuo, Lan. Effects of Urbanization and Climate Change on Peak Flows over the San Antonio River Basin, Texas. JOURNAL OF HYDROMETEOROLOGY[J]. 2016, 17(9): 2371-2389, http://dx.doi.org/10.1175/JHM-D-15-0216.1.
科研活动
科研项目
（ 1 ） 天山北坡湖泊基础性调查, 负责人, 国家任务, 2021-11--2024-11
（ 2 ） 水循环遥感与模拟, 负责人, 中国科学院计划, 2023-12--2026-11
（ 3 ） 基于过程升尺度的全球水资源模型改进, 参与, 国家任务, 2022-07--2025-06
（ 2 ） 水循环遥感与模拟, 负责人, 中国科学院计划, 2023-12--2026-11
（ 3 ） 基于过程升尺度的全球水资源模型改进, 参与, 国家任务, 2022-07--2025-06