南京信息工程大学主页平台管理系统 朱志伟

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南京信息工程大学主页平台管理系统 朱志伟

#南京信息工程大学主页平台管理系统 朱志伟| 来源: 网络整理| 查看: 265

ResearchGate: https://www.researchgate.net/profile/Zhiwei_Zhu8

GoogleScholar: https://scholar.google.com/citations?user=m-fuwkEAAAAJ&hl=en 

*为通讯作者 #为所带学生

2023 & in press

89. Wei Y., H. Yu, S. Li, Z. Zhu, Y. Yang, Y. Ren, C. Liu, J. Zhou. 2023: Impact of north Indian atmospheric diabatic heating on summer precipitation in Central Asia. J. Climate. doi:10.1175/JCLI-D-22-0928.1.

88. Zhu Z.*, Zhou Y.#, W. Jiang, S. Fu#, P-C. Hsu. 2023: Influence of compound zonal displacements of the South Asia high and the western Pacific subtropical high on Meiyu intraseasonal variation. Clim. Dyn., doi: 10.1007/s00382-023-06726-6.

87. Zhu Z.*, Y. Feng#, W. Jiang, R. Lu#, Y. Yang#. 2023: The compound impacts of sea surface temperature modes in the Indian and North Atlantic oceans on the extreme precipitation days in the Yangtze River Basin. Clim. Dyn., doi: 10.1007/s00382-023-06733-7.

86. Li J., C. Zheng#, Y. Yang#, R. Lu#, Z. Zhu*. 2023: Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model. Clim. Dyn., doi: 10.1007/s00382-023-06681-2.

85. Zhu, Z., P.-C. Hsu, R. Zhan, L. Zhang, B. Yu, Eds., 2023: Origins and predictability of the intraseasonal to interannual variabilities of regional climate. Front. Earth Sci., doi: 10.3389/978-2-83251-148-0.

84. Chen H., Z. Xu, Y. Jiang#, Z. Zhu*. 2023: Change of the wintertime multidecadal land precipitation variability in the mid-1970s in the observation and CMIP6 simulations. Int. J. Climato., doi:10.1002/joc.7995.

83. Zhou Z.#, J. Li, H. Chen, Z. Zhu. 2023: Seasonal prediction of extreme high temperature days in southwestern China based on physical precursors. Adv. Atmos. Sci., doi: 10.1007/s00376-022-2075-5.

82. Hsu P-C., J. Xie, J. Lee, Z. Zhu, Y. Li, B. Chen, S. Zhang. 2023: Multiscale interactions between seasonal-mean state, intraseasonal oscillation and synoptic disturbances driving the devastating floods in China’s Henan Province in July 2021. Weather and Climate Extremes. 39, 100541. doi: 10.1016/j.wace.2022.100541.

81. Lu T.#, Z. Zhu*, Y. Yang#, J. Ma, G. Huang. 2023: Formation mechanism of the ENSO-independent summer western North Pacific anomalous anticyclone. J. Climate, 36(6), 1711-1726. doi: 10.1175/JCLI-D-22-0271.1

80. Fu S.#, Z. Zhu*, R. Lu#. 2023: Changes in the factors controlling Northeast Asian spring surface air temperature in the past 60 years. Clim. Dyn., doi: 10.1007/s00382-022-06569-7.

79. Yang Y.#, Z. Zhu*, X. Shen, L. Jiang, T. Li. 2023: The influences of Atlantic sea surface temperature anomalies on the ENSO-independent interannual variability of East Asian summer monsoon rainfall. J. Climate, 36(2), 677-691. doi: 10.1175/JCLI-D-22-0061.1.

78. 谭辉#, 朱志伟*, 蒋薇, 郝立生, 李琳菲#. 2023:基于热带和热带外独立影响途径的中国东部冬季阴天日数的季节预测. 大气科学, doi: 10.3878/j.issn.1006-9895.2111.21117.

77. Wu J.#, J. Li, Z. Zhu, P-C. Hsu. 2023: Factors determining the subseasonal prediction skill of summer extreme rainfall over southern China. Clim. Dyn., 60(1), 443-460. doi: 10.1007/s00382-022-06326-w.

76. Zhu Z.*, R. Lu#, S. Fu#, H. Chen. 2023: Alternation of the atmospheric teleconnections associated with the Northeast China spring rainfall during a recent 60-years period. Adv. Atmos. Sci., 40(1), 168-176. doi: 10.1007/s00376-022-2024-3.

75. 姚梦莹#, 朱志伟*, 卢睿#, 姚俊强. 2023:中国西北5月和9月地表气温的年际变率机理及其预测. 大气科学,47(2), 1-16. doi: 10.3878/j.issn.1006-9895.2111.21124.

74. 张可越#, 李娟, 徐邦琪, 朱志伟. 2023:中国南方降水及其极端事件的动力-统计相结合的延伸期预报. 气象学报, 81(1), 79-93. doi: 10.11676/qxxb2023.20220061.

2022

73. Zhang P., Z. Wu, Z. Zhu, R. Jin. 2022: Promoting seasonal prediction capability of the early autumn tropical cyclone formation frequency over the western North Pacific: effect of Arctic sea ice. Environ. Res. Lett., 17(12), 124012. doi: 10.1088/1748-9326/aca2c0.

72. Zhu Z., X. Liu#, R. Lu#, S. Wakamatsu, K. Takahashi. 2022: Unprecedented extreme rainfall over East Asia in July and August 2021 [in “State of the Climate in 2021”]. Bull. Amer. Meteor. Soc., 103(8), S423-S424. doi: 10.1175/2022BAMSStateoftheClimate_Chapter7.1.

71. Bissolli, P., C. Ganter, A. Mekonnen, A. Sánchez-Lugo, and Z. Zhu, Eds., 2022: Regional Climates [in “State of the Climate in 2021”]. Bull. Amer. Meteor. Soc., 103(8), S341-S453. doi: 10.1175/2022BAMSStateoftheClimate_Chapter7.1.

70. Wang W., T. Li, F. Xin, Z. Zhu. 2022: An objective method defining the Meiyu onset in lower reach of Yangtze River basin. J. Meteorol. Res., 36(6), 841-852. doi: 10.1007/s13351-022-2069-3.

69. Yang Y-M, J-H. Park, S-I. An, S-W. Yeh, Z. Zhu, F. Liu, J. Li, J-Y. Lee, B. Wang. 2022: Increased Indian Ocean-North Atlantic Ocean warming chain under greenhouse warming. Nat. Commun., 13, 3978. doi: 10.1038/s41467-022-31676-8.

68. Long Y.#, J. Li, Z. Zhu, J. Zhang. 2022: Predictability of the anomaly pattern of summer extreme high-temperature days over southern China. Clim. Dyn., 59(4), 1027-1041. doi: 10.1007/s00382-022-06170-y.

67. Qian Y., P-C. Hsu, J. Yuan, Z. Zhu, H. Wang, M. Duan. 2022: Effects of subseasonal variation in the East Asian monsoon system on the summertime heat wave in western North America in 2021. Geophys. Res. Lett. 49(8), e2021GL097659. doi:10.1029/2021GL097659.

66. Hamadalnel M.#, Z. Zhu, A. Gaber, V. Iyakaremye, B. Ayugi. 2022: Possible changes in Sudan's future precipitation under the high and medium emission scenarios based on bias adjusted GCMs. Atmos. Res., 269, 106036. doi: 10.1016/j.atmosres.2022.106036.

65. Hamadalnel M.#, Z. Zhu, R. Lu#, M. Almazroui, S. Shahid. 2022: Evaluating the aptitude of GCMs from CMIP5 and CMIP6 in capturing the historical observations of monsoon rainfall over Sudan from 1946-2005. Int. J. Climato., 42(5), 2717-2738. doi: 10.1002/joc.7387.

64. Chen H., E. Schneider, Z. Zhu*. 2022: Internal atmospheric variability of net surface heat flux in reanalyses and CMIP5 AMIP simulations. Int. J. Climato., 42(1), 63-80. doi: 10.1002/joc.7232.

2021

63. 卢睿#, 朱志伟*, 李天明, 潘晓, 江叶艳#, 陆雅君. 2021:淮河流域夏季极端降水频次空间分布的客观分类及其形成机理. 大气科学, 45(6), 1415-1432.

62. Pan X., T. Li, Y. Sun, Z. Zhu. 2021: Cause of extreme heavy and persistent rainfall over Yangtze River in summer 2020. Adv. Atmos. Sci., 38(12), 1980-1993. doi: 10.1007/s00376-021-0433-3.

61. Wang W., F. Xin, X. Pan, T. Li, H. Sato, Z. Zhu. 2021: Extreme floods along the Meiyu/Baiu/Changma front in summer 2020 [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102(8), S435-S436. doi:10.1175/2021BAMSStateoftheClimate.1. 

60. Li T., Z. Zhu, P. Zhang, T. C. Lee, Supari, M. Hanafusa, H. Sato, S. Wakamatsu, G. S. Im, D. Dulamsuren, A. Moise, M-V. Khiem, and H-P. Lam. 2021: Regional climates, Asia overview [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102(8), S425-S428. doi:10.1175/2021BAMSStateoftheClimate.1.

59. Zhang K., J. Li, Z. Zhu, T. Li. 2021: Implications from subseasonal prediction skills of the prolonged heavy snow event over southern China in early 2008. Adv. Atmos. Sci., 38(11), 1873-1888. doi: 10.1007/s00376-021-0402-x.

58. Hamadalnel M.#, Z. Zhu, R. Lu#, S. Shahid, M. Ali, I. Abdalla, M. Elkanzi, M. Bilal, M. Bleiweiss. 2021: Spatio-temporal investigations of monsoon precipitation and its historical and future trend over Sudan. Earth Systems and Environ., 5(3), 519-529. doi: 10.1007/s41748-021-00236-3.

57. 饶晨泓#,陈光华,陈可鑫,朱志伟.2021:最佳子集多元线性回归模型在热带气旋风圈变化预报中的应用.气候与环境研究,26(1), 115-122.

56. Yan H., Z. Zhu*, B. Wang, K. Zhang, J. Luo, Y. Qian, Y. Jiang. 2021: Tropical African wildfire aerosols trigger teleconnections over mid-to-high latitudes of Northern Hemisphere in January. Environ. Res. Lett., 16, 034025. doi: 10.1088/1748-9326/abe433.

55. Yan H., X. Pan, Z. Zhu*, R. Lu#, L. Li#, H. Tan#. 2021: The two leading modes of winter clear-sky days over China and their formation mechanisms. Clim. Dyn., 56(1), 189-205. doi: 10.1007/s00382-020-05470-5.

2020 

54. Pan X., Z. Zhu*, T. Li. 2020: Forecasts of ENSO evolution using spatial-temporal projection model. Int. J. Climato., 40(15), 6301-6314. doi: 10.1002/joc.6581.

53. Zhu Z.*, R. Lu#, H. Yan, W. Li, T. Li, J. He. 2020: Dynamic origin of the interannual variability of West China Autumn Rainfall. J. Climate., 33(22), 9643-9652. doi: 10.1175/JCLI-D-20-0097.1.

52. 何金海,徐海明,王黎娟,祁莉,朱志伟,马静,罗京佳.2020:南京信息工程大学季风研究若干重要进展回顾--明德格物一甲子,科教融合六十载.大气科学学报,43(5), 768-784.

51. Li T., Z. Zhu, P. Zhang, T. C. Lee, I. Gustari, Y. Mochizuki, C.-W. Choi, L. Oyunjargal, A. Moise, M.-V. Khiem, and H.-P. Lam. 2020: Regional climates, Asia overview [in “State of the Climate in 2019”]. Bull. Amer. Meteor. Soc., 101(8), S382–S385.doi: 10.1175/2020BAMSStateoftheClimate.1.

50. Wang J.#, Y. Liu, Y. Ding, P. Wu, Z. Zhu, Y Xu, Q. Li, Y. Zhang, J. He, X. Wang, L. Qi. 2020: Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review. Int. J. Climato., 40(10), 4309-4325. doi: 10.1002/joc.6471.

49. Li J., Yang Y.#, Z. Zhu*. 2020: Application of MJO dynamics-oriented diagnostics to CMIP5 Models. Theor. Appl. Climatol., 141(2), 673-684. doi: 10.1007/s00704-020-03185-5.

48. 李娟,闫会平,朱志伟*. 2020:中国夏季极端气温和降水事件日数随平均气温变化的定量分析.高原气象,39(3), 532-542.

47. Li W., B. Qiu, W. Guo, Z. Zhu, P. Hsu. 2020: Intraseasonal variability of Tibetan Plateau snow cover. Int. J. Climato., 40(7), 3451-3466. doi: 10.1002/joc.6407. 

46. 徐邦琪,臧钰歆,朱志伟,李天明.2020:时空投影模型(STPM)的次季节至季节(S2S)预测应用进展.大气科学学报,43(1), 212-224. 

45. Zhong S., Q. Jia, Z. Zhu, X. Zhang. 2020: Two propagation pathways of the boreal summer quasi-biweekly oscillation of the atmospheric heat source over the Tibetan Plateau. Atmosphere-Ocean, 58(1), 60-78. doi: 10.1080/07055900.2020.1730297.

44. Yang Y.#, Z. Zhu*, T. Li, M. Yao#. 2020: Effects of the western Pacific intraseasonal convection on the surface air temperature anomalies over North America. Int. J. Climato., 40(6), 2913-2923. doi:10.1002/joc.6373.

43. Chang Y., J. Wang#, Z. Zhu*, H. Deng, J. He, R. Lu#. 2020: A salient oceanic driver for the interannual variability of wintertime haze days over the Pearl River Delta region, China. Theor. Appl. Climatol., 140(1), 739-750. doi: 10.1007/s00704-020-03111-9.

42. Lu R.#, Z. Zhu*, T. Li, H. Zhang#. 2020: Interannual and interdecadal variabilities of spring rainfall over northeast China and their associated sea surface temperature anomaly forcings. J. Climate, 33(4), 1423-1435. doi: 10.1175/JCLI-D-19-0302.1. 

2019 

41. Wang X., Y. Chang, Z. Zhu. 2019: Interdecadal change in the relationship between South China spring rainfall and preceding-summer warm pool ocean heat content. J. Trop. Meteor., 25(4), 462-470. doi: 10.16555/j.1006-8775.2019.04.004.

40. Li T., Z. Zhu, P. Zhang, T. C. Lee, A. Ripaldi, Y. Mochizuki, J. Lim, L. Oyunjargal, and B. Timbal. 2019: Regional climates, Asia overview [in “State of the Climate in 2018”]. Bull. Amer. Meteor. Soc., 100(9), S230-232. doi:10.1175/2019BAMSStateoftheClimate.1.

39. Zhu Z., T. Li, A. Shimpo. 2019: The weakest East Asian Summer monsoon during the past 40 years [in “State of the Climate in 2018”]. Bull. Amer. Meteor. Soc., 100(9), S238-239. doi:10.1175/2019BAMSStateoftheClimate.1.

38. Ma L., Z. Zhu*, J. Li, J. Cao. 2019: Improving the simulation of the climatology of the East Asian summer monsoon by coupling the Stochastic Multicloud Model to the ECHAM6.3 atmosphere model. Clim. Dyn.,  53(4), 2061-2081. doi: 10.1007/s00382-019-04787-0.

37. Chen S., Z. Zhu*, Z. Ge, Z. Kang, J. He. 2019: The diversity of La Niña decay and the corresponding spring and summer precipitation anomalies over eastern China. Int. J. Climato., 39, 3396-3411. doi: 10.1002/joc.6100.

36. Yang S., Z. Zhu*, J. Cui, Y. Yang#. 2019: Regulation of the intraseasonal oscillation over mid-high latitude Eurasia on winter surface air temperature over China. Dyn. of Atmos. and Oceans, 86, 63-72. doi: 10.1016/j.dynatmoce.2019.03.003.

35. Chen H., D. He, Z. Zhu. 2019: The internal multidecadal variability of SST in the Pacific and its impact on air temperature and rainfall over land in the Northern Hemisphere. Atmos., 10(3), 153. doi:10.3390/atmos10030153.

34. Wang J.#, Z. Zhu*, L. Qi, Q. Zhao, J. He, X. Wang. 2019: Two pathways of how remote SST anomalies drive the interannual variability of autumnal haze days in the Beijing–Tianjin–Hebei region, China. Atmos. Chem. Phys., 19(3), 1521-1535. doi: 10.5194/acp-19-1521-2019.

2018

33. Li T., Z. Zhu, P. Zhang, T. C. Lee, Y. Mochizuki, S. E. Lee, L. Oyunjargal, B. Timbal. 2018: Regional climates, Asia overview [in "State of the Climate in 2017"]. Bull. Amer. Meteor. Soc., 99(8), S233-234. doi:10.1175/2018BAMSStateoftheClimate.1.

32. Zhu Z., T. Li, H. Togawa. 2018: Abnormal West China Autumn Rainfall in 2017 and persistence of the Pacific–Japan Pattern in August 2017 [in "State of the Climate in 2017"]. Bull. Amer. Meteor. Soc., 99(8), S243-244. doi:10.1175/2018BAMSStateoftheClimate.1.

31. Wang J.#, Q. Zhao, Z. Zhu*, L. Qi, X. Wang. J. He. 2018: Interannual variation in the number and severity of autumnal haze days in the Beijing–Tianjin–Hebei region and associated atmospheric circulation anomalies. Dyn. of Atmos. and Oceans, 84, 1-9. doi: 10.1016/j.dynatmoce.2018.08.001.

30. Yuan K., Z. Zhu*, M. Li, 2018: A pair of new moisture-dynamic diagnostic parameters for heavy rain location. Meteorol. Atmos. Phys., 130(3), 325-331. doi: 10.1007/s00703-017-0522-0.

29. Zhu Z.*, T. Li, 2018: Amplified contiguous United States summer rainfall variability induced by East Asian monsoon interdecadal change. Clim. Dyn., 50(9-10), 3523-3536. doi: 10.1007/s00382-017-3821-8.

28. 李跃凤,何金海,朱志伟,陈圣劼.2018:中华人民共和国气象行业标准—东亚副热带夏季风监测指标.气象出版社,QX/T 394-2017.

27. Zhu Z.*, T. Li, 2018: Extended-range forecasting of Chinese summer surface air temperature and heat waves. Clim. Dyn., 50(5-6), 2007-2021. doi: 10.1007/s00382-017-3733-7.

26. Zhu Z.*, 2018: Breakdown of the relationship between Australian summer rainfall and ENSO caused by tropical Indian Ocean SST warming. J. Climate, 31(6), 2321-2336. doi: 10.1175/JCLI-D-17-0132.1.

25. Chen Y., Z. Zhu*, L. Luo, J. Zhang, 2018: Severe haze in Hangzhou in winter 2013/14 and associated meteorological anomalies. Dyn. of Atmos. and Oceans, 81, 73-83. doi: 10.1016/j.dynatmoce.2018.01.002.

2017

24. Zhu Z.*, S. Chen, K. Yuan, Y. Chen, S. Gao, Z. Hua, 2017: Empirical subseasonal predicting summer rainfall anomalies over the middle and lower reaches of Yangtze River basin based on the atmospheric intraseasonal oscillation. Atmos., 8(10), 185. doi:10.3390/atmos8100185.

23. Zhu Z.*, T. Li, L. Bai, J. Gao, 2017: Extended-range forecast for the temporal distribution of clustering tropical cyclogenesis over the western North Pacific. Theor. Appl. Climatol., 130(3), 865-877. doi: 10.1007/s00704-016-1925-4.

22. Li J., Z. Zhu*, W. Dong, 2017: A new mean-extreme vector for the trends of temperature and precipitation over China during 1960–2013. Meteorol. Atmos. Phys., 129(3), 273-282. doi: 10.1007/s00703-016-0464-y.

21. Zhu Z.*, T. Li, 2017: Statistical extended-range forecast of winter surface air temperature and extremely cold days over China. Q. J. R. Meteor. Soc., 704(143), 1528-1538. doi: 10.1002/qj.3023.

20. Zhu Z., T. Li, 2017: The record-breaking hot summer in 2015 over Hawaiian Islands and its physical causes. J. Climate, 30(11), 4253-4266. doi: 10.1175/JCLI-D-16-0438.1.

19. Zhu Z., T. Li, 2017: Empirical prediction of the onset dates of South China Sea summer monsoon. Clim. Dyn., 48(5), 1633-1645. doi: 10.1007/s00382-016-3164-x.

18. Zhu Z., T. Li, 2017: The statistical extended-range (10–30-day) forecast of summer rainfall anomalies over the entire China. Clim. Dyn., 48(1), 209-224. doi: 10.1007/s00382-016-3070-2.

17. Li J., Z. Zhu*, W. Dong, 2017: Assessing the uncertainty of CESM-LE in simulating the trends of mean and extreme temperature and precipitation over China. Int. J. Climato., 37(4), 2101-2110. doi: 10.1002/joc.4837.

16. Ren Q., Z. Zhu*, L. Hao, J. He, 2017: The enhanced relationship between Southern China winter rainfall and warm pool ocean heat content. Int. J. Climato., 37(1), 409-419. doi: 10.1002/joc.4714.

2016

15. Zhu Z., T. Li, 2016: A new paradigm for continental U.S. summer rainfall variability: Asia–North America teleconnection. J. Climate, 29(20), 7313-7327. doi: 10.1175/JCLI-D-16-0137.1.

14. Yu J., T. Li, Z. Tan, Z. Zhu, 2016: Effects of tropical North Atlantic SST on tropical cyclone genesis in the western North Pacific. Clim. Dyn., 46(3), 865-877. doi: 10.1007/s00382-015-2618-x.

13. Du Y., T. Li, Z. Xie, Z. Zhu, 2016: Interannual variability of the Asian subtropical westerly jet in boreal summer and associated with circulation and SST anomalies. Clim. Dyn., 46(7), 2673-2688. doi: 10.1007/s00382-015-2723-x.

12. Li W., P. Hsu, J. He, Z. Zhu, W. Zhang, 2016: Extended-range forecast of spring rainfall in southern China based on the Madden–Julian Oscillation. Meteorol. Atmos. Phys., 128(3), 331-345. doi: 10.1007/s00703-015-0418-9.

2015

11. Zhu Z., T. Li, P.-C. Hsu, J. He, 2015: A spatial-temporal projection model for extended-range forecast in the tropics. Clim. Dyn., 45(3), 1085-1098. doi: 10.1007/s00382-014-2353-8.

10. He J., Z. Zhu*, 2015: The relation of South China Sea monsoon onset with the subsequent rainfall over the subtropical East Asia. Int. J. Climato., 35(15), 4547-4556. doi: 10.1002/joc.4305.

9. 詹丰兴,何金海,章毅之,朱志伟.2015: 江南雨季地理区域及起止时间的客观确定.海洋学报,37(6), 1-11.

2014

8. Zhu Z., T. Li, J. He, 2014: Out-of-phase relationship between boreal spring and summer decadal rainfall changes in southern China. J. Climate, 27(3), 1083-1099. doi: 10.1175/JCLI-D-13-00180.1.

2013 & before

7. 朱志伟,何金海,钟珊珊,尚可.2013: 春夏东亚大气环流年代际转折的影响及其可能机理.气象学报,71(3), 440-451.

6. 朱志伟,何金海.2013: 孟加拉湾低涡与南海季风爆发关系及其可能机理.热带气象学报,29(6), 915-923.

5. 尚可,何金海,朱志伟,詹丰兴.2013: 西太平洋暖池区热含量和海表温度与江南春雨的相关性对比研究.地理科学,33(8), 986-992.

4. 朱志伟,何金海.2013: 东亚副热带季风的季节转变特征及其可能机理.热带气象学报,29(2), 245-254.

3. Zhu Z., J. He., L. Qi, 2012: Seasonal transition of East Asian subtropical monsoon and its possible mechanism. J. Trop. Meteor., 18(3), 305-313.

2. 黄海燕,何金海,朱志伟.2012: 大气季节内振荡的研究进展及其在延伸期预报中的应用.气象与减灾研究,34(3), 1-8.

1. 朱志伟,花振飞.2010: 华北地区冬季降水时空分布特征分析.水文,30(4), 84-87.



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