CHEN Peiyan
05/02/2024 Shanghai, China

金玲, 张欣馨, 陈佩燕, 等, 2022: 台风影响下的学校风灾风险评估模型研究——以浦东新区部分沿海学校为例, 灾害学, 37(02), 7, https://doi.org/10.3969/j.issn.1000-811X.2022.02.010.

Xin, J.J., H. Yu and P.Y. Chen, 2021: Evaluation of tropical cyclone intensity forecasts from five global ensemble prediction systems during 2015-2019. J. Trop. Meteorol., 27(03), 218-231, https://doi.org/10.46267/j.1006-8775.2021.020.

Zheng, F., C.J. Yue, P.Y. Chen, et al., 2019: Effects of SST, VWS, and DCC upon rapid intensification of off-shore typhoons in China seas. J. Trop. Meteorol., 25(01), 11-23, https://doi.org/10.16555/j.1006-8775.2019.01.002.

吴影, 陈佩燕, 雷小途, 2017: 登陆热带气旋路径和强度预报的效益评估初步研究, 热带气象学报, 33(05), 675-682, https://doi.org/10.16032/j.issn.1004-4965.2017.05.011.

丛春华, 雷小途, 陈佩燕, 2016: 山东两次台风远距离暴雨对比分析, 中国海洋大学学报: 自然科学版, 46(12), 11, https://doi.org/10.16441/j.cnki.hdxb.20160034.

岳彩军, 李佳, 陈佩燕, 徐同, 王晓峰, 2013: 湿Q矢量释用技术的改进研究, 高原气象, 32(06), 1617-1625, https://doi.org/10.7522/j.issn.1000-0534.2012.00155.

钱燕珍, 孙军波, 陈佩燕, 等, 2013: 用数值预报释用方法做近海及登陆热带气旋强度预报, 气象, 39(06), 710-718, https://doi.org/10.7519/j.issn.1000-0526.2013.06.007.

Yu, H., Y. Lu, P.Y. Chen, et al., 2012: Intensity change characteristics of tropical cyclones in the Western North Pacific as revealed by three different datasets. J. Trop. Meteorol., 18(02), 119-126, https://doi.org/10.3969/j.issn.1006-8775.2012.02.002.

钱燕珍, 孙军波, 余晖, 陈佩燕, 2012: 用支持向量机方法做登陆热带气旋站点大风预报, 气象, 38(03), 300-306, https://doi.org/10.7519/j.issn.1000-0526.2012.03.006.

宋金杰, 王元, 陈佩燕, 陈联寿, 2011: 基于偏最小二乘回归理论的西北太平洋热带气旋强度统计预报方法, 气象学报, (05), 745-756, https://doi.org/10.11676/qxxb2011.066.

吴力川, 文元桥, 陈佩燕, 季永清, 2011: 沿海港口通航环境热带气旋灾害预评估模型研究, 武汉理工大学学报, 33(07), 73-77.

孙军波, 钱燕珍, 陈佩燕, 等, 2010: 登陆台风站点大风预报的人工神经网络方法, 气象, 36(09), 81-86.

文元桥, 吴力川, 陈佩燕, 2010: 1949—2008年热带气旋对中国沿海商船航线的影响频次, 大连海事大学学报, 36(02), 27-30.

黄小刚, 费建芳, 陈佩燕, 2009: 利用神经网络方法建立热带气旋强度预报模型, 应用气象学报, 20(06), 699-705.

雷小途, 陈佩燕, 杨玉华, 钱燕珍, 2009: 中国台风灾情特征及其灾害客观评估方法, 气象学报, (05), 875-883, https://doi.org/10.11676/qxxb2009.085.

钟元, 余晖, 滕卫平, 等, 2009: 热带气旋定量降水预报的动力相似方案, 应用气象学报, 20(01), 17-27.

陈佩燕, 杨玉华, 雷小途, 钱燕珍, 2009: 我国台风灾害成因分析及灾情预估, 自然灾害学报, 18(01), 64-73.

陈佩燕, 端义宏, 余晖, 胡春梅, 2006: 红外云顶亮温在西北太平洋热带气旋强度预报中的应用, 气象学报, 64(04), 474-484, https://doi.org/10.11676/qxxb2006.047.

胡春梅, 余晖, 陈佩燕, 2006: 西北太平洋热带气旋强度统计释用预报方法研究, 气象, 32(08), 64-69.

岳彩军, 陈佩燕, 雷小途, 等, 2006: 一种可用于登陆台风定量降水估计(QPE)方法的初步建立, 气象科学, 26, https://doi.org/10.3969/2012jms.00.

岳彩军, 端义宏, 雷小途, 等, 2005: 卫星资料在登陆热带气旋降水研究中的应用, 气象科学, 25(04), 7, https://doi.org/10.3969/2012jms.00.

Jingyong, Z., W. D., L. W., et al., 2005: Impact of land use changes on surface warming in China. Adv. Atmos. Sci., 22, 343-348, https://doi.org/10.1007/BF02918748.

陈佩燕, 倪允琪, 殷永红, 2001: 近50年来全球海温异常对我国东部地区冬季温度异常影响的诊断研究, 热带气象学报, (04), 371-380.

Lu, Y., J. Yin, D. Wang, et al., 2022: Evaluating the influence of multisource typhoon precipitation data on multiscale urban pluvial flood modeling. Int. J. Disaster Risk Sci., 13, 974-986, https://doi.org/10.1007/s13753-022-00446-x.

Chen, P., H. Yu, K.K.W. Cheung, et al., 2021: A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0). Adv. Atmos. Sci., 38, 1791-1802, https://doi.org/10.1007/s00376-021-0365-y.

Zhou, Y., J. Zhao, R. Zhan, et al., 2021: A Logistic-growth-equation-based intensity prediction scheme for Western North Pacific tropical cyclones. Adv. Atmos. Sci., 38, 1750-1762, https://doi.org/10.1007/s00376-021-0435-1.

Yu, H., and Coauthors, 2022: Are we reaching the limit of tropical cyclone track predictability in the Western North Pacific? Bull. Amer. Meteor. Soc., 103, E410-E428, https://doi.org/10.1175/BAMS-D-20-0308.1.

Duan, Y., and Coauthors, 2019: Landfalling Tropical Cyclone Research Project (LTCRP) in China. Bull. Amer. Meteor. Soc., 100, ES447-ES472, https://doi.org/10.1175/BAMS-D-18-0241.1.

Chen, P., H. Yu, B. Brown, G. Chen and R. Wan, 2016: A probabilistic climatology-based analogue intensity forecast scheme for tropical cyclones. Q. J. R. Meteorol. Soc., 142, 2386-2397, https://doi.org/10.1002/qj.2831.

Qi, L., H. Yu and P. Chen, 2014: Selective ensemble-mean technique for tropical cyclone track forecast by using ensemble prediction systems. Q. J. R. Meteorol. Soc., 140, 805-813, https://doi.org/10.1002/qj.2196.

Yu, H., P. Chen, Q. Li and B. Tang, 2013: Current capability of operational numerical models in predicting tropical cyclone intensity in the Western North Pacific. Wea. Forecasting, 28, 353-367, https://doi.org/10.1175/WAF-D-11-00100.1.

Chen, P., H. Yu and J.C.L. Chan, 2011: A Western North Pacific tropical cyclone intensity prediction scheme. Acta Meteorol. Sin., 25, 611-624, https://doi.org/10.1007/s13351-011-0506-9.

Yu, Z., H. Yu, P. Chen, C. Qian and C. Yue, 2009: Verification of tropical cyclone-related satellite precipitation estimates in Mainland China. J. Appl. Meteor. Climatol., 48, 2227-2241, https://doi.org/10.1175/2009JAMC2143.1.

Chen, P., Y. Duan, H. Yu and C. Hu, 2007: Application of equivalent black body temperature in the forecast of tropical cyclone intensity. J. Meteorol. Res., 21(04), 465-475.