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人员详情

夏江江

  • 职务:
  • 电子邮件:xiajj@tea.ac.cn
  • 研究方向:

    机器学习在天气预报中的应用,基于机器学习的:数值天气预报风速、降水、温度后处理;强对流天气(雷暴、冰雹、大风、强降水)、航空危险天气(飞机积冰、飞机颠簸、雾等)的潜势预报;卫星反演雷达回波,雷达回波短临外推预报;深度学习可解释性研究。

社会任职
中国科学院大气物理研究所-大气科学人工智能研究中心副主任;
气象大数据实验室特征工程组负责人;
中国气象服务协会人工智能技术委员会副主任委员;
大气物理研究所青年科学家实验室副主任(2019-2021);
气候与环境数学专业委员会会员。
个人简介
获奖及荣誉
代表论著

【2021】

duan mingshan, xia jiangjiang, yan zhongwei, han lei, zhang lejian, xia hanmeng, lou xiao, yu shuang, yuan zhen, 2021: radar reflectivity of convective storms reconstruction based on deep learning and himawari-8 observations, remote sensing, 13(16), 3330, doi: 10.3390/rs13163330.

zhou chuansai, li haochen, yu chen, xia jiangjiang, zhang pingwen, 2021: a station-data-based model residual machine learning method for fine-grained meteorological grid prediction. applied mathematics and mechanics-englishi edition. 

zheng ziyan, yan zhongwei, chen jing, han jiarui, xia jiangjiang, zhang xiaohong, cai siyu, liuxiaolin, 2021: evolving threshold of flood-leading precipitation in a user-oriented forecast system based on the tigge dataset. frontiers in earth science, doi: 10.3389/feart.2021.703024

li wentao, pan baoxiang, xia jiangjiang, duan qingyun, 2021: convolutional neural network-based statistical post-processing of ensemble precipiatation forecast. journaly of hydrology,605, 127301,  https://doi.org/10.1016/j.jhydrol.2021.127301

kong wenjia, li haochen, yu chen, xia jiangjiang, kang yanyan, and zhang pingwen, 2020: a deep spatio-temporal forecasting model for multi-site ensemble weather prediction. to be contributed.

武略,焦瑞莉,王毅,夏江江(corresponding author),严中伟,李昊辰,余晨,2021:北京地区体感温度误差订正方法研究,气象科学,已接收

gao lihao, zheng yu, wang yaqiang, xia jiangjiang, chen xunlai, li bin, luo ming, and guo yuchen, 2021: reconstruction of missing data in weather radar image sequences using deep neuron networks. appl. sci. /applied sciences, accepted on 15 january 2021.

【2020】

xia jiangjiang (corresponding author), li haochen, kang yanyan, yu chen, ji lei, wu lue, lou xiao, zhu guangxiang, wang zaiwen wang, yan zhongwei, wang lizhi, zhu jiang, zhang pingwen, ji chongping, chen min, zhang yingxin, gao lihao, and han jiarui, 2020: machine-learning-based weather support for 2022 winter olympics. adv. atmos. sci., 37 (9), 927-932, doi: 10.1007/s00376-020-0043-5. 

孟欣宁,焦瑞莉,刘念,夏江江(corresponding author),严中伟,于爽,娄晓,李昊辰,王立志,陈亮,郑子彦,赵娜,2020:基于随机森林插值的中亚夏季极端高温变化特征. 干旱区研究, 37 (4), 966-973, doi:10.13866/j.azr.2020.04.17. 

yu chen, li haochen, xia jiangjiang, wen hanqiuzi, and zhang pingwen, 2020: a data-driven random subfeature ensemble learning algorithm for weather forecasting.  commun. comput. phys., 28 (4), 1305-1320, doi: 10.4208/cicp.oa-2020-0006. 

wang jun, chen yang, simon f.b. tett, yan zhongwei, zhai panmao, feng jinming, and xia jiangjiang, 2020: anthropogenically-driven increases in the risks of summertime compound hot extremes. nat. commun., 11, 528, doi: 10.1038/s41467-019-14233-8. 

zheng dexiang, zhang heng, yuan yuze, deng zhong, wang ku, lin geng, chen yi, xia jiangjiang, and jin shaofei, 2020: natural disasters and their impacts on the silica losses from agriculture in china from 1988 to 2016. phys. chem. earth., 115, 102840, doi: 10.1016/j.pce.2020.102840.

【2019】

孙全德,焦瑞莉,夏江江(corresponding author),严中伟,李昊辰,孙建华,王立志,梁钊明,2019:基于机器学习的数值天气预报风速订正研究. 气象,45(3), 426-436, doi: 10.7519/j.issn.1000-0526.2019.03.012. 

门晓磊,焦瑞莉,王鼎, 赵晨光,刘亚昆,夏江江(corresponding author),李昊辰,严中伟,孙建华,王立志,2019:基于机器学习的华北气温多模式集合预报的订正方法. 气候与环境研究,24(1), 116-124. doi:10.3878/j.issn.1006-9585.2018.18049. 

xia jiangjiang (corresponding author), jin shaofei, yan zhongwei, xiong zhe, zheng ziyan, and han zuoqiang, 2019: shifts in timing of local growing season in china during 1961-2012. theor. appl. climatol., 137, 1637-1642, https://doi.org/10.1007/s00704-018-2698-8. 

yu shuang, xia jiangjiang (corresponding author), yan zhongwei, zhang anzhi, xia yang, guan dabo, han jiarui, wang jun, chen liang, and liu yakun, 2019: loss of work productivity in a warming world: differences between developed and developing countries. j. clean. prod., 208, 1219-1225, doi: 10.1016/j.jclepro.2018.10.067. 

he xiaodong, wang jun, feng jinming, yan zhongwei, miao shiguang, zhang yizhou, and xia jiangjiang, 2019: observational and modeling study of interactions between urban heat island and heat wave in beijing. j. clean. prod., 247, 119169, doi: 10.1016/j.jclepro.2019.119169. 

li haochen, yu chen, xia jiangjiang, wang yingchun, zhu jiang, and zhang pingwen, 2019: a model output machine learning method for grid temperature forecasts in the beijing area. adv. atmos. sci., 36(10): 1156-1170, doi: 10.1007/s00376-019-9023-z. 

tong xuan, yan zhongwei, xia jiangjiang, and lou xiao, 2019: decisive atmospheric circulation indices for july–august precipitation in north china based on tree models. j. hydrometeorol., 20 (8), 1707-1720, doi: 10.1175/jhm-d-19-0045.1. 

gao lihao, wei fengying, yan zhongwei, ma jin, and xia jiangjiang, 2019: a study of objective patterns over eastern china based on a multinomial logistic regression model. atmosphere, 10 (4), 213, doi: 10.3390/atmos10040213.  

【2018】 

yu shuang, xia jiangjiang (corresponding author), yan zhongwei, and yang kun, 2018: changing spring phenology dates in the three-rivers headwater region of tibetan plateau during 1960-2013. adv. atmos. sci., 35 (1), 116-126, doi: 10.1007/s00376-017-6296-y. 

xia jiangjiang, jin shaofei, yan zhongwei, xiong zhe, zheng ziyan, han zuoqiang, shifts in timing of local growing season in china during 1961-2012, 2018: theoretical and applied climatology,  v.137 no.3-4 pp. 1637-1642 https://doi.org/10.1007/s00704-018-2698-8 

田磊, 裴琳,陈宇罡, 夏江江(corresponding author), 汪翔,2018:1970—2015年蚌埠地区霾日气候资料重建及时空变化特征,气象与环境学报,34(5):39-46.

xia yang, li yuan, guan dabo, david mendoza tinoco, xia jiangjiang, yan zhongwei, yang jun, liu qiyong, and huo hong, 2018: assessment of economic impacts of heat waves: a case study of nanjing. china. j. clean. prod., 171, 811-819, doi: 10.1016/j.jclepro.2017.10.069. 

li chunxiang, tian qinhua, yu rong, zhou baiquan, xia jiangjiang, claire burke, buwen dong, simon f b tett, nicolas freychet, fraser lott, and andrew ciavarella, 2018: attribution of extreme precipitation in the lower reaches of the yangtze river during may 2016. environ. res. lett., 13: 014015, doi: 10.1088/1748-9326/aa9691. 

【2017】

pei lin, xia jiangjiang (corresponding author), yan zhongwei, and yang hui, 2017: assessment of the pacific decadal oscillation’s contribution to the occurrence of local rainfall in north china. clim. change, 144 (3), 391-403, doi: 10.1007/s10584-016-1610-8. 

zhang,anzhi, jia gensuo, howard e. epstein, and xia jiangjiang, 2017: enso elicits opposing responses of semi-arid vegetation between hemispheres, sci. rep., 7, 42281, doi: 10.1038/srep42281. 

【2016】

xia, jiangjiang, tu kai, yan zhongwei, qi yajie, 2016: the super-heat wave in eastern china during july-august 2013: aperspective of climate change. international journal climatology, 36 (3), 1291-1298, doi: 10.1002/joc.4424. 

zheng ziyan, ma zhuguo, li mingxing, xia jiangjiang, 2016: regional water budgets and hydroclimatic trend variations in xinjiang from 1951-2000. climatic change, doi: 10.1007/s10584-016-1842-7. 

yan zhongwei, wang jun, xia jiangjiang, feng jinming, 2016: review of recent studies of the climatic effects of urbanization in china. advances in climate change research, 1-15, http://dx.doi.org/10.1016/j.accre.2016.09.003(cscd)

【2015】

xia, jiangjiang, yan zhongwei, zhou wen, et al., 2015: projection of the zhujiang (pearl) river delta's potential submerged are due to sea level rise during the 21st century based on cmip5 simulations. acta oceanologica sinica, 34 (9), 78-84, doi: 10.1007/s13131-015-0700-1. 

xia jiangjiang, yan zhongwei, jia gensuo, zeng heqing, jones pd, zhou when, zhang anzhi, 2015: projections of the advance in the start of the growing season during the 21st century based on cmip5 simulations. advances in atmospheric sciences, 32: 831-838, doi: 10.1007/s00376-014-4125-0. 

夏江江,杨庆,郑子彦, 赵天保,严中伟,马柱国,2015: 土地利用变化对20世纪中国地区气候干湿变化的影响. 气候与环境研究,20 (2):154-166,doi: 10.3878/j.issn.1006-9585.2014.14007.

jin shaofei, wang yongli, xia jiangjiang, xiao ning, zhang junlong, xiong zhe, 2015: delcline in the species richness contribution of echinodermata to the macrobenthos in the shelf seas of china. physics and chemistry of the earth, 87-88: 1-2. 

xia, jiangjiang, yan zhongwei, xiong zhe, 2015: changes in local growing season indices in shanghai to urbanization during 1873-2013. atmospheric and oceanic science letters, 8 (6): 383-385, doi:10.3878/aosl20150044

【2014】

xia jiangjiang, yan zhongwei, 2014: changes in the local growing season in eastern china during 1909?2012. scientific online letters on the atmosphere (sola). 10, 163?166. doi:10.2151/sola.2014-034. 

yan zhongwei, li zhen, xia jiangjiang, 2014: homogenization of climate series: the basis for assessing climate changes. science in china, 57, 2891-2900. doi: 10.1007/s11430-014-4945-x严中伟、李珍、夏江江 2014:气候序列的均一化 - 定量评估气候变化的基础。中国科学:地球科学, 44 (10): 2101-2111

【2013】

wang jun, yan zhongwei, philip douglas jones, and xia jiangjiang, 2013: on "observation minus reanalysis" method: a view from multidecadal variability. journal of geophysical research, 118, 1-9, doi: 10.1002/jgrd.50574. 

xia jiangjiang, yan zhongwei, wu peili, 2013: multidecadal variability in local growing season during 1901-2009. climate dynamics. 41 (2): 295-305, doi: 10.1007/s00382-012-1438-5. 

【2012】

夏江江, 2012:全球变暖背景下温度季节循环的变迁,中国科学院大气物理研究所,获得“2012年度中国科学院大气物理研究所优秀博士学位论文”奖。

【2011】

han jiarui, ye qian, yan zhongwei, jiao meiyan, xia jiangjiang. 2011: conceptual study on incorporating user in formation into forecasting systems. frontiers of environmental science and engineering in china. 5: 533, doi:10.1007/s11783-010-0246-6. 

yan zhongwei, xia jiangjiang, qian cheng, zhou wen, 2011: changes in seasonal cycle and extremes in china during the period 1960-2008. advances in atmospheric sciences, 28(2), 269-283. 

xia jiangjiang, yan zhongwei, zhou wen. 2011: changes in seasonality in china under enhanced atmospheric co2 concentration. atmospheric and oceanic science letters, 4(1), 12-17

夏江江,严中伟,周家斌,2011:“三伏”的气候学定义和区划. 气候与环境研究,16(1),31-38. 

承担科研项目情况

基于机器学习的西北太平洋台风强度预报模型建立;

基于深度学习的气象要素预报与智能会商系统研究;

中国科学院战略性先导科技专项(a类)“泛第三级环境变化与绿色丝绸之路建设”项目“生态屏障动态监测与区域绿色发展方案”课题“中亚大湖区极端天气气候变化影响与应对方案”子课题“中亚大湖区极端天气气候变化历史与情景预估”;

国家重点研发计划项目“科技冬奥”重点专项第四课题“冬奥赛场定点气象要素客观预报技术研究及应用”第五专题“基于机器学习方法的赛场赛道气象要素预报以及高影响天气概率预报的研究和应用”

科技部重点专项项目“全球变化及应对”课题“非均匀动态分布情景下碳排放合理分配方案”

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