秦正坤教授主页
秦正坤

个人信息Personal Information

教授 博士生导师 硕士生导师

教师拼音名称:qinzhengkun

电子邮箱:

所在单位:大气科学学院

办公地点:气象楼821

性别:男

职称:教授

博士生导师

硕士生导师

学科:大气科学

  • 基本信息
  • 个人简介
  • 近期主要论著
  • 近期科研项目
  • 姓       名:  秦正坤

    出生年月:  1979年5月

    国       籍:  中国

    性       别:  男

    导       师:  孙照渤教授

    职       称:  教授

    最高学历:  博士

    所属专业:  大气科学

    所属系部:  数值预报系

    毕业院校:  南京信息工程大学

    研究方向:  卫星资料同化和卫星资料的气候应用

    办公地点:  气象楼821室

    邮       箱:  qzk_0@nuist.edu.cn

    主讲课程:  气象统计方法

    主要研究领域:  致力于卫星资料的质量控制、同化及卫星资料的气候应用方面的研究。主要的研究方向是利用主成分分析、小波分析和傅立叶分解等统计方法,分析卫星资料中的各类误差,并建立相应的误差滤除方案和质量控制方案,在此基础上,进一步研究卫星资料同化技术的改进方案,尤其注重静止卫星资料的同化影响的提高。同时利用卫星资料全球覆盖特点,进行全球气候变化研究,尤其关注非线性气候趋势及气候趋势演变特征的研究。

  • 教育背景:  
    2009-2014美国佛罗里达州立大学地球、海洋和大气科学系,博士后
    2004-2006,中国科学院大气物理研究所,客座研究
    2003-2007,南京信息工程大学大气科学专业,博士研究生
    2001-2003,南京信息工程大学大气科学专业,硕士研究生
    1997-2001,南京信息工程大学计算数学及其应用软件,本科
    
    工作经历:  
    2007.6-2014.4南京信息工程大学大气科学学院,讲师
    2014.5-现在南京信息工程大学大气科学学院,教授
    

  • [1]    李依婷、葛思如、秦正坤等,2026:基于MLP方法的微波成像仪陆面同化观测算子构建和初步评估,气象学报,DOI: 10.11676/qxxb2026.20250234

    [2]    张鹏博、秦正坤、翁富忠等,2025:基于FY-3D MWRI数据的轮廓感知海表温度重建网络,气象学报,DOI: 10.11676/qxxb2026.20250160

    [3]    Bai X., Z. Qin and J. Li, 2025: A soil temperature quality control method based on adaptive analysis approaches, Journal of atmospheric and oceanic technology, v42: 1629-1646.

    [4]    Zhou, F., Qin, Z. & Li, D., 2025: The impact of an improved land cloud detection method on cold-vortex precipitation forecasting. Quarterly Journal of the Royal Meteorological Society, e70088.

    [5]    刘炳童,李昕,李煜斌,秦正坤,刘伟光不同陆面模式亮温模拟与FY-4A/AGRI观测对比应用气象学报,2025,36(3):339-350.DOI: 10.11898/1001-7313.20250308

    [6]    X. Qian, Z. Qin, J. Li and P. Zhang, "Coordinated Triple-Pass Polar-Orbiting Microwave Sounder Observations for Instantaneous 3-D Temperature Field Reconstruction in Typhoon Systems," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-8, 2025, Art no. 4106008, doi: 10.1109/TGRS.2025.3577735.

    [7]    Yao, F., Li, X., Qin, Z. et al., 2025: Effect of microphysical schemes on simulating severe convection induced by the northeast cold vortex using dual-polarization radar data. Meteorol Atmos Phys 137, 17 

    [8]    Ouyang, H.; Qin, Z.; Xu, X.; et al., 2025: Autonomous Quality Control of High Spatiotemporal Resolution Automatic Weather Station Precipitation Data. Remote Sens. 17, 404.

    [9]    Bai, X.; Qin, Z.; Li, J.; Zhang, S.; Wang, L., 2025: The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products. Remote Sens., 17, 239. https://doi.org/10.3390/rs17020239

    [10] X. Qian, Z. Qin, J. Li, P. Zhang and J. Mao, 2025: A Tropical Cyclone Warm-Core Retrieval Algorithm for the Microwave Temperature Sounder of FY-3E," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-14, Art no. 4100314, doi: 10.1109/TGRS.2024.3508795.

    [11] Mao, J., Qin, Z. & Li, J., 2024: A microwave temperature sounder (MWTS)–microwave humidity sounder fusion cloud detection method for land data from the FengYun-3D MWTS and its impact on error estimation. Quarterly Journal of the Royal Meteorological Society, 150(765), 5422–5434.

    [12] 商漪懿,张冰,秦正坤,李昕。高时空分辨率自动站温度观测资料自主质量控制研究[J]。高原气象,2024,43(4):967-981。

    [13] Yu Huang, Zhengkun Qin, Juan Li and Jiali Mao, 2024: Improving inland precipitation forecast in China through data assimilation of microwave temperature sounding data from a three-orbit constellation. Quarterly Journal of the Royal Meteorological Society. Available from: https://doi.org/10.1002/qj.4802

    [14] Zhang, B., Zeng, M., Huang, A., Qin, Z., Liu, C., Shi, W., Li, X., Zhu, K., Gu, C., and Zhou, J. 2024: A general comprehensive evaluation method for cross-scale precipitation forecasts, Geosci. Model Dev., 17, 4579–4601.

    [15] Shen W., Z. Lin, Z. Qin and J. Li, 2024: Development and preliminary validation of a land surface image assimilation system based on the Common Land Model, Geosci. Model Dev., 17, 3447–3465. 

    [16] M. Tian, R. Chen, P. Luo, H. Zhang and Z. Qin, 2024: Self-Supervised Contour-Aware Data Reconstruction Network for AMSU-A Brightness Temperature Data Records. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024.

    [17] Wu, Y.; Qin, Z.; Li, J.; Bai, X. 2024: Primary Impact Evaluation of Surface Temperature Observations for Microwave Temperature Sounding Data Assimilation over Land. Remote Sens., 16, 395.

    [18] Li, J., Z. K. Qin, G. Q. Liu, and J. Huang, 2024: Added benefit of the early-morning-orbit satellite Fengyun-3E on the global microwave sounding of the three-orbit constellation. Adv. Atmos. Sci., 41(1), 39−52.

    [19] X. Qian, Z. Qin and J. Li, 2023: A Modified Limb Correction Algorithm for the Microwave Temperature Sounder of FY Polar-Orbiting Satellites. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-12, Art no. 5407512.

    [20] Huang Y., J. Li and Z. Qin, 2023: Evaluation of the FY-3E microwave temperature sounding data assimilation on Forecasting Typhoon Chanthu (2021), Meteorology and Atmospheric Physics, 135: 54. 

    [21] Mao, J.; Qin, Z.; Li, J.; Liu, G.; Huang, J. 2023: Comparative Analysis of Striping Noise between FY-3E MWTS-3 and FY-3D MWTS-2. Remote Sens. 15, 1421.

    [22] Qin Z. and X. Zou, 2023: Modulation Effect of Annual Cycle on Interdecadal Warming Trends over the Tibetan Plateau during 1998-2020, Journal of Climate, 36, 2917-2936.

    [23] 姚方玲,秦正坤,林朝晖等.基于旋转经验正交分解的流域降水气候预测误差订正方法[J].气候与环境研究, 2023, 28(03): 327-342.

    [24] Li, J.; Qian, X.; Qin, Z.; Liu, G. 2022, Direct Assimilation of ChineseFY-3E Microwave TemperatureSounder-3 Radiances in the CMA-GFS: An Initial Study. Remote Sens., 14, 5943

    [25] Bai, X.; Qin Z., Lin, Z.; Shen, W. 2022, Effect of Radio Frequency Interference Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval. Remote Sens. 14, 5558.

    [26] Shen, W.; Lin, Z.; Qin, Z.; Bai, X. 2022, Improved Estimation of O-B Bias and Standard Deviation by an RFI Restoration Method for AMSR-2 C-Band Observations over North America. Remote Sens. 14, 5558.

    [27] Mao, J.; Qin, Z.; Li, J.; Han, Y.; Huang, J., 2022, Performance Evaluation and Noise Mitigation of the FY-3E Microwave Humidity Sounder. Remote Sens. 14, 4835.

    [28] Wang, S.; Qin, Z.; Tang, F., 2022, Comparative Analysis of the Observation Bias and Error Characteristics of AGRI and AHI Data for Land Areas in East Asia. Atmosphere, 13, 1477.

    [29] 钱小立秦正坤张文君. 2022. 太平洋上云水路径反演产品及其气候变化特征分析[J]. 大气科学, 46(6): 1381−1393.

    [30] 邵宇行,秦正坤,李昕,2022.基于EOF 的高时空分辨率自动站温度观测资料质量控制.大气科学学报,45( 4) : 603-615

    [31] 欧阳鸿翔,秦正坤,李昕,张冰.2022:中国中东部地区再分析资料地面温度误差周期性特征分析.高原气象, 41(03): 572-583.

    [32] 沈王彬,李昕,秦正坤,张冰.2022: 基于EOF迭代的自动气象站气温观测资料修复方法.大气科学,46(2): 406-418.

    [33] Xie Y., M. Tian, Z. Qin, 2022: Tropical Cyclone Intensity Estimation Using Satellite Microwave Brightness Temperatures and a Multi-View Feature Fusion Network, Conference: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

    [34] Zhang M., M. Tian, Z. Qin, 2022: Accurate Cloud Detection using Feature Refining Attention Network and S-NPP Cris Fsr Data, Conference: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

    [35] Zou, L.; Wang, Z.; Lu, Q.; Wu, S.; Chen, L.; Qin, Z. The Rain-induced Urban Waterlogging Risk and its Evaluation: A Case Study in the Central City of Shanghai. Water, 2022, 2022080540. 

    [36] Qian, X.; Qin, Z.; Li, J.; Han, Y.; Liu, G. 2022, Preliminary Evaluation of FY-3E Microwave Temperature Sounder Performance Based on Observation Minus Simulation. Remote Sens., 14, 2250. https://doi.org/10.3390/rs14092250

    [37] Wu, J.; Qin, Z.; Li, J.; Wu, Z., 2022, Development and Evaluation of AMSU-A Cloud Detection over the Tibetan Plateau. Remote Sens. 14, 2116.

    [38] 吴志文秦正坤林朝晖. 2022:中西亚极端干旱特征及其与热带海温的联系高原气象. 41(5): 1141-1152. 

    [39] Zhu L., Z. Qin, J. Min and M. Xue, 2022: Characterizing, Mitigating, and Comparing the Along-Scanline Noise in Fengyun-3 Series Microwave Humidity Sounders (MWHSs). IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, Art no. 5300210, doi: 10.1109/TGRS.2020.3043310.

    [40] Ouyang, H.; Qin, Z.; Li, J. 2021Impact of Assimilating Advanced Himawari Imager Channel 16 Data on Precipitation Prediction over the Haihe River Basin. Atmosphere, 12, 1253. 

    [41] Wu, Z.; Li, J.; Qin, Z. 2021Development and Evaluation of a New Method for AMSU-A Cloud Detection over Land. Remote Sens. 2021, 13, 3646.

    [42] Qin, Z., Wu, Z., & Li, J., 2020: Impact of the One-Stream Cloud Detection Method on the Assimilation of AMSU-A Data in GRAPES. Remote Sensing, 12(22), 3842.

    [43] Qin Z., 2020: Adding CO2 channel 16 to AHI data assimilation over land further improves short-range rainfall forecasts, Tellus A: Dynamic Meteorology and Oceanography, 72:1, 1-18.

    [44] Qin Z., and X. Zou, 2020: Impacts of satellite data assimilation with different model vertical levels on QPFs downstream of the Tibetan Plateau. Meteorology and Atmospheric Physics.

    [45] Shen, W.; Qin Z.; Lin Z. 2019: A New Restoration Method for Radio Frequency Interference Effects on AMSR-2 over North America. Remote Sens.11, 2917. 

    [46] Qin, Z., and X. Zou, 2019: Impact of AMSU-A Data Assimilation over High Terrains on QPFs downstream of the Tibetan Plateau. J. Meteor. Soc. Japan97, 1137-1154. 

    [47] 明绍慧秦正坤黄瑜, 2019: 卫星资料揭示的青藏高原对流层上层温度气候演变趋势特征高原气象3821-14.

    [48] 郭姿佑,秦正坤,杜家铭,等. 2019: 气团订正对静止卫星成像仪资料同化在台风预报中的改进效果研究热带气象学报,35(4)539-555.

    [49] Qin Z. and X. Zou, 2018: Direct Assimilation of ABI Infrared radiances in NWP models. IEEE Journal of selected Topics in applied earth observations and remote sensing11(6), 2022-2033.

    [50] Chen H., X. Zou and Z. Qin, 2018: Effects of Diurnal Adjustment on Biases and Trends Derived from Inter-Sensor Calibrated AMSU-A Data, Front. Earth Sci., 12(1), 1-16.

    [51] 朱利剑秦正坤王金成. 2018: 基于亮温通道变率的FY-3C微波湿度计陆地云检测新方法.气象学报76(3), 434-448.

    [52] Zhang Sijia, D. Wang, Z. Qin, et al., 2018: Assessment of the GPM and TRMM Precipitation Products Using the Rain Gauge Network over the Tibetan Plateau. J. Meteor. Res.32(2): 324-336

    [53] Yu Yue, Z. Lin and Z. Qin, 2018: Improved EOF-based bias correction method for seasonal forecasts and its application in IAP AGCM4.1, Atmospheric and Oceanic Science Letters, 6: 499-508.

    [54] Qin, Z., X. Zou and F. Weng. 2017: Impacts of assimilating all or GOES-like AHI infrared channels radiances on QPFs over Eastern China, Tellus A: Dynamic Meteorology and Oceanography69:1, 1345265.

    [55] Zou X., H. Dong, Z. Qin. 2017: Striping Noise Reduction for ATMS Window Channels Using a Modified Destriping Algorithm: Striping reduction for window channels. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.3107 

    [56] 周泽华,邹晓蕾,秦正坤2017:风云3C星微波成像仪电视信号干扰识别和分析,遥感学报,21(5), 689-701.

    [57] 黄瑜,秦正坤2017:多模式热带西太平洋夏季降水可预测性比较分析,大气科学学报40(4), 508-518.

    [58] Zou, X., Z. Qin and F. Weng, 2016: Improved assimilation of AMSU-A and MHS radiances from the same polar-orbiting satellite by a one data stream scheme. Quart. J. Roy. Meteor. Soc.143, 731-743. 

    [59] Qin, Z. and X. Zou, 2016: Uncertainty in FengYun-3C Microwave Humidity Sounder measurements at 118 GHz with respect to simulations from GPS RO data. IEEE Trans. Geo. Remote Sensing, 54(12), 6907-6918.

    [60] Li J., Z. Qin and G. Liu, 2016: A new generation of Chinese FY-3C microwave sounding measurements and the initial assessments of its observations, International Journal of Remote Sensing37(17), 4035-4058.  

    [61] Qin Z., X. Zou, 2016: Development and evaluation of a new land index for MHS cloud detection, J. Meteor. Res.3012–37.  

    [62] 邹晓蕾,秦正坤,翁富忠. 2016: 晨昏轨道微波温度计资料同化对降水定量预报的影响及其对三轨卫星系统的意义大气科学, 40 (1): 46−62. 

    [63] Zou X., Z. Qin and Y. Zheng, 2015: Improved tropical storm forecasts with GOES-13/15 Imager radiance assimilation and asymmetric vortex initialization in HWRF, Mon. Wea. Rev. 143, 2485-2505.

    [64] Zou, X., F. Weng, V. Tallaparada, L. Lin, B. Zhang, C. Wu and Z. Qin, 2015: Satellite data assimilation of Upper-Level Sounding Channels in HWRF with Two Different Model Tops, J. Meteor. Res.29 (1), 1-27.

    [65] Zhao H., X. Zou and Z. Qin, 2015: Quality control of specific humidity from surface stations based on EOF and FFT—Case study, Front. Earth Sci., 10.1007/s11707-014-0483-2

    [66] 赵虹,秦正坤,王金成,刘寅。2015,经验正交函数分解质量控制法在地面观测资料变分同化中的个例研究与应用。气象学报73(4) 749-765.

    [67] Weng F., X. Zou, and Z Qin, 2014: Uncertainty of AMSU-A Derived Temperature Trends in Relationship with Clouds and Precipitation, Climate Dynamics43(5), 1439-1448.

    [68] Qin Z., X. Zou and F. Weng, 2013: Analysis of ATMS striping noise from its Earth scene observations using PCA and EEMD techniquesJ. Geoph. Res118, 13,214-13,229.

    [69] X. Zou, F. Weng, B. Zhang, L. Lin, Z. Qin and V. Tallapragada, 2013:  Impacts of assimilation of ATMS data in HWRF on track and intensity forecasts of 2012 landfall hurricanesJ. Geoph. Res., 118, 11558-11576.

    [70] Zou X., Z. Qin and F. Weng, 2013, Improved quantitative precipitation forecasts by MHS radiance data assimilation with newly added cloud detection algorithm, Mon. Wea. Rev.141, 3203-3221.

    [71] Qin Z., X. Zou, F. Weng, 2013, Evaluating Added Benefits of Assimilating GOES Imager Radiance Data in GSI for Coastal QPFs, Mon. Wea. Rev.141, 75-92

    [72] Zou, X., Y. Ma, and Z. Qin, 2012: Fengyun-3B microwave humidity sounder (MWHS) data noise characterization and filtering using principal component analysis. IEEE TGRS50, 4892-4902.

    [73] Zou X., J. Zhao, F. Weng, and Z. Qin, 2012: Detection of Radio-Frequency Interference Signal Over Land from FY-3B Microwave Radiation Imager (MWRI), IEEE TGRS, 50, 4994-5003.

    [74] Qin Z., X. Zou and F. Weng, 2012: An Arctic and Antarctic four-month oscillation detected from advanced microwave sounding unit-A measurements in the Arctic and Antarctic. Antarctic Science, 24, 507-513

    [75] Qin Z., X. Zou, F. Weng, 2012, Comparison between linear and nonlinear trends in NOAA-15 AMSU-A brightness temperatures during 1998–2010, Clim Dyn., 39, 1763-1779, DOI: 10.1007/s00382-012-1296-1.

    [76] Zou X., Z. Qin and F. Weng, 2011, Improved Coastal Precipitation Forecasts with Direct Assimilation of GOES 11/12 Imager Radiances, Mon. Wea. Rev., 1393711-3729

    [77] 秦正坤,林朝晖,陈红,孙照渤。基于EOF/SVD短期的气候预测误差订正方法及其应用,气象学报2011, 69(2): 289-296

    [78] 王林,刘鹏,林朝晖,秦正坤,春季亚洲中东部地表感热通量的变化特征及其与中国夏季降水的关系,气候与环境,2011163):310-321

    [79] Qin, Z., X. Zou, G. Li, and X. Ma, 2010: Quality control of surface station temperature data with non-Gaussian observation-minus-background distributions, J. Geophys. Res.115, D16312, doi:10.1029/2009JD013695.

    [80] Zou X. and Z. Qin. 2010, Time-Zone Dependence of Diurnal Cycle Errors in Surface Temperature Analyses. Mon. Wea. Rev.138, 2469-2475.

    [81] 秦正坤,林朝晖,陈红,孙照渤,一个海气耦合模式对东亚夏季气候预测潜力的评估,气候与环境研究2007123):426-435

    [82] 陈红,林朝晖,秦正坤,周广庆,2006年春季沙尘天气异常的气候背景分析及趋势预测检验,气候与环境,2007123):365-373

    [83] 秦正坤,孙照渤,冬季风异常对西北太平洋海温的影响的区域性特征,大气科学2006302):257267

    [84] 秦正坤,孙照渤,曾刚,冬季风持续异常对黑潮海域的影响,南京气象学院学报2005283):302307

    [85]秦正坤,孙照渤,东中国海海温的一维模式研究,南京气象学院学报2005284):477482

  • 近期科研项目:  

    主持:
    国家自然科学基金面上项目《基于风云卫星微波温湿度计改进东北冷涡暴雨预报研究》
    国家科技部重点研发专项项目“我国北方局地突发性强降水机理及预报方法研究”第二课题,我国北方多源观测资料的同化技术研究
    国家自然科学基金面上项目《静止卫星红外辐射资料直接同化在台风预报中的应用研究》
    中国科学院大气物理研究所横向项目《短期气候集合预测技术》
    
    参加:
    国家“973”项目子课题《全球变化数据的评估、同化、融合与应用》
    国家公益性行业(气象)科研专项《面向国家气象信息中心获取的全国地面自动站资料的同化技术研究》
    国家公益性行业(气象)科研专项《中国再分析资料中卫星资料的质量控制和同化》
    国家公益性行业(气象)科研专项《风云3号卫星资料同化技术改进和业务实施》
    国家自然科学基金重点项目《青藏高原区域多源资料同化及再分析资料集的构建》
    国家自然科学基金面上项目《 GPS 掩星资料云内温度廓线反演算法和云内温度廓线特征研究》
    国家自然科学基金面上项目《东半球越赤道气流的年代际变化及其与东亚夏季风关系的研究》
    国家自然科学基金面上项目《欧亚中高纬植被覆盖的异常变化及其对东亚夏季气候的影响》
    科技部科技支撑计划项目《灾害天气精细数值预报系统及短期气候集合预测研究》