发明专利:
徐经纬等,一种基于改进卷积神经网络的多源卫星有效波高融合方法(ZL 2024 1 0587251.8)
期刊论文:
Xu J, Wu H, Zhi X, et al. Validation of Multisource Altimeter SWH Measurements for Climate Data Analysis in China’s Offshore Waters. Remote Sensing, 2024(16): 2162, https://doi.org/10.3390/rs16122162
Xu J, Zhi X, Sein D V, et al. Predictability of Coastal Boundary Layer Jets in South China Using Atmosphere–Ocean Coupling[J]. Journal of Geophysical Research: Atmospheres, 2023, 128(16): e2023JD039184.
Xu J, Wu H, Xu Y, et al. Validation of Nadir SWH and Its Variance Characteristics from CFOSAT in China’s Offshore Waters[J]. Remote Sensing, 2023, 15(4): 1005.
Xu J, Koldunov N, Xu M, Zhu X H, Freadrich K, Jiang X, Zhu S P, Zhi X F. Impacts of Indian Ocean Dipole–Like SST on Rice Yield Anomalies in Jiangsu Province. Front. Earth Sci. 2021, 8:568365. https://doi.org/10.3389/feart.2020.568365
Xu J*,Koldunov N V, Remedio A R C, et al. Downstream effect of Hengduan Mountains on East China in the REMO regional climate model[J]. Theoretical and applied climatology, 2019:1-18
Xu J et al. On the role of horizontal resolution over the Tibetan Plateau in the REMO regional climate model. Climate Dynamics,2018, 51(11): 4525-4542.
Xu, J., Y. Luo, X. Zhang, and R. Zhu, 2008: China Offshore Wind Energy Resources Assessment with the QuikSCAT Data. Proc. SPIE proceeding 7105.
徐经纬, 徐敏, 蒋熹, ArmelleReca CR, Dmitry VS, Nikolav K, Daniela J (2016) 区域气候模式REMO对中国气温和降水模拟能力的评估. 气候变化研究进展 12:286-293
徐经纬, 张秀芝, 罗勇, 徐敏, 2013: QuikSCAT卫星遥感风场可靠性分析及其揭示的中国近海风速分布. 海洋学报, 35, 76-86.
徐经纬, 张秀芝, 罗勇,等. QuikSCAT卫星遥感与MM5模拟海表面风场的综合分析[J]. 大气科学学报, 2015, 38(1):93-100.
张容焱,张秀芝,徐宗焕,徐经纬.台风影响下的正常湍流模型(NTM)设计,太阳能学报,35(6):1075-1079,2014.
Fu X, Wang W, Xu J, Lee J, et al. Distinctive Roles of Air-Sea Coupling on Different MJO Events: A New Perspective Revealed from the DYNAMO/CINDY Field Campaign*[J]. Monthly Weather Review, 2015, 143(3): 794-812.
Zhu S, Ge F, Xu J, Fan Y, et al. Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming[J]. Climatic Change, 2020: 1-18.
徐敏,徐经纬,缪璟秋,等. 随机森林机器算法在江苏省小麦赤霉病病穗率预测中的应用,气象学报,2020,78(1):143-153(权威一级)
徐敏,徐经纬,高苹,等. 江苏省小麦赤霉病综合影响指数构建及时空变化特征,生态学杂志,2019,38(6):1774-1782(一级核心)
徐敏,徐经纬,宋迎波,等. 不同统计模型在冬小麦产量预报中的预报能力评估,中国生态农业学报(中英文),2020,28(3):438-447(一级核心)
徐敏,徐经纬,高苹,等.江苏水稻障碍型冷害时空变化特征及敏感性分析.气象,2015,41(11):1367-1373.
徐敏,徐经纬,高苹,等.基于大尺度因子的江苏稻区稻瘟病气象等级长期预测.植物保护,2017,43(4):36-41(一级核心)
副主编,编写《小麦赤霉病气象等级预报方法》,气象出版社2020年6月出版