尹金方
中國氣象科學研究院 災害天氣國家重點實驗室
yinjf@cma.gov.cn
010-58994130
研究興趣
本人主要從事雲-降水微物理學👨🏿🍼、雲微物理參數化、極端強降水形成機製及預報技術🏄🏼🕘、數值模擬等方面的研究。
教育背景
2004.9-2008.7，浙江大學大氣科學專業，本科，學士
2008.9-2013.6🕵🏽♂️，浙江大學大氣科學專業🦃👨🏽🚒，直博🛃，博士
研究經歷
2013.7-2014.11，災害天氣國家重點實驗室✶，助研
2014.11-2019.12，災害天氣國家重點實驗室，副研究員
2019.12-至今📛，災害天氣國家重點實驗室，研究員
承擔課題
國家重點研發計劃課題 極端雨強快速循環更新數值預報技術 (2022-2025), 主持
國家重點研發計劃課題 高分辨率區域再分析資料檢驗評估及應用研究 (2017-2021), 主持
國家自然科學基金面上項目 基於水凝物粒子群軌跡追蹤的雲微物理過程研究 (2020-2024), 主持
國家自然科學基金青年項目 高汙染區大氣冰核活化參數化方法及對強降水影響的研究 (2015-2017), 主持
國家自然科學基金重大項目 臺風多尺度數值預報模式建立和應用示範 (2022-2026)💪🏽，參加
學術兼職
2024—2027 華北區域氣象科技咨詢專家委員會委員
2022—2024 中國氣象局高價值氣象數據產品專家
2020—至今《沙漠與綠洲氣象》編委
2024—2027 川西南（雅安）暴雨實驗室學術委員會委員
2021—至今中國氣象局橫斷山區（低緯高原）災害性天氣研究中心聯合首席
獲獎情況
2022🌖，中國氣象科學研究院領軍人才
2020😖，科技創新突出貢獻獎
2017💁🏿♂️，“第八批中央和國家機關、中央企業優秀援疆幹部人才”
2016🛸，中國氣象局青年英才
2015☝🏽，中國氣象科學研究院優秀青年
2014🔀，中國氣象科學研究院高層次人才計劃
2013，浙江省優秀畢業生
2013⛹🏻♀️，浙江大學優秀畢業生
2013，林百欣高科技獎 三等獎
2012⛹️♀️👩👦👦， 光華獎學金
2012🧏🏽♀️，博士研究生國家獎學金
2011𓀖，南都獎學金 三等獎
發表論文
（本人名稱加粗，通訊作者加*號）
Li, H., J. Yin*, and M. Kumjian, 2024: ZDR Backwards Arc: Evidence of Multi-Directional Size Sorting in the Storm Producing 201.9 mm Hourly Rainfall. Geophys. Res. Lett., 51, e2024GL109192, doi:https://doi.org/10.1029/2024GL109192.
Yun, Y., D.-L. Zhang, W. Gao, J. Yin, C. Zhao, J. Li, J. Guo, and H. Liu, 2024: Spatiotemporal Variations of the Effects of Aerosols on Clouds and Precipitation in an Extreme-Rain-Producing MCS in South China. Journal of Geophysical Research: Atmospheres, 129, e2023JD040014, doi:https://doi.org/10.1029/2023JD040014.
Zhao, Q., W. Wang, J. Yin, K. Wu, L. Zhou, Y. Yao, P. Wang, J. Su, X. Wang, H. Wang, J. Bao, Y. Hu, Z. Zhuo, and Y. Gao, 2024: Real-time retrieval of high-precision ZTD maps using GNSS observation. Geodesy and Geodynamics, doi:https://doi.org/10.1016/j.geog.2023.12.002.
Zhao, Q., Z. Ma, J. Yin, Y. Yao, W. Yao, Z. Du, and W. Wang, 2024: General method of precipitable water vapor retrieval from remote sensing satellite near-infrared data. Remote Sens. Environ., 308, 114180, doi:https://doi.org/10.1016/j.rse.2024.114180.
Zou, H., X. Liang, S. Wu, and J. Yin, 2024: A Dealiasing Scheme of Doppler Radar Velocity Based on Polynomial Fitting. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-10, doi:10.1109/TGRS.2024.3382677.
Yin, J., X. Liang*, Y. Xie, F. Li, K. Hu, L. Cao, F. Chen, H. Zou, F. Zhu, X. Sun, J. Xu, G. Wang, Y. Zhao, and J. Liu, 2023: East Asia Reanalysis System (EARS). Earth Syst. Sci. Data, 15, 2329-2346, doi:10.5194/essd-15-2329-2023.
Yang, L., X. Liang*, J. Yin*, Y. Xie, and H. Fan, 2023: The extreme precipitation and added value of East Asia regional reanalysis system. International Journal of Climatology, 43, 6831-6850, doi:https://doi.org/10.1002/joc.8238.
Yang, L., X. Liang, J. Yin*, Y. Xie, and H. Fan, 2023: Evaluation of the precipitation of the East Asia regional reanalysis system mainly over mainland China. International Journal of Climatology, 43, 1676 – 1692, doi:https://doi.org/10.1002/joc.7940.
Wang, H., M. Xue, J. Yin, and H. Deng, 2023: Comparison of Simulated Warm-Rain Microphysical Processes in a Record-Breaking Rainfall Event Using Polarimetric Radar Observations. Journal of Geophysical Research: Atmospheres, 128, e2023JD038742, doi:https://doi.org/10.1029/2023JD038742.
Xu, H., X. Li, J. Yin, and D. Zhang, 2023: Predecessor Rain Events in the Yangtze River Delta Region Associated with South China Sea and Northwest Pacific Ocean (SCS-WNPO) Tropical Cyclones. Advances in Atmospheric Sciences, 40, 1021-1042, doi:10.1007/s00376-022-2069-3.
Xu, H., X. Li, J. Yin, L. Zhou, Y. Song, and T. Hu, 2023: Microphysics affect the sensitivities of rainfall to different horizontal-resolution simulations: Evidence from a case study of the Weather Research and Forecasting model runs. Atmospheric Research, 107022, doi:https://doi.org/10.1016/j.atmosres.2023.107022.
Xu, H., D. Zhao, J. Yin, Y. Duan, W. Gao, Y. Li, and L. Zhou, 2023: Indirect Effects of Binary Typhoons on an Extreme Rainfall Event in Henan Province, China From 19 to 21 July 2021. 3. Sensitivities to Microphysics Schemes. Journal of Geophysical Research: Atmospheres, 128, e2022JD037936, doi:https://doi.org/10.1029/2022JD037936.
Wang, H., J. Yin, N. Wu, and W. Ding, 2023: Microphysical Structures of an Extreme Rainfall Event Over the Coastal Metropolitan City of Guangzhou, China: Observation Analysis with Polarimetric Radar. Asia-Pacific Journal of Atmospheric Sciences, 59, 3-16, doi:10.1007/s13143-022-00289-y.
Wang, H., H. Deng, W. Ding, and J. Yin, 2023: Polarimetric radar observation of the melting layer during the pre-summer rainy season over South China. European Journal of Remote Sensing, 56, 2155582, doi:10.1080/22797254.2022.2155582.
Zhou, Z., Y. Hu, B. Wang, J. Yin, Y. Guo, Z. Kang, and Y. Sun, 2023: Effect of Different Microphysical Parameterizations on the Simulations of a South China Heavy Rainfall. J. Trop. Meteorol., 29, 68-86, doi:10.46267/j.1006-8775.2023.006.
Yin*, J., X. Liang, H. Wang, and H. Xue, 2022: Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF v4.1.3. Geosci. Model Dev., 15, 771-786, doi:10.5194/gmd-15-771-2022.
Yin*, J., H. Gu, M. Yu, X. Bao, Y. Xie, and X. Liang, 2022: Synergetic Roles of Dynamic and Cloud Microphysical Processes in Extreme Short-Term Rainfall: A Case Study. Quarterly Journal of the Royal Meteorological Society, 148, 3660- 3676, doi:https://doi.org/10.1002/qj.4380.
Yin*, J., D. Wang, G. Zhai, H. Wang, H. Xu, and C. Liu, 2022: A Modified Double-Moment Bulk Microphysics Scheme toward the East Asia Monsoon Region. Adv. Atmos. Sci., doi:10.1007/s00376-022-1402-1.
Yin*, J., H. Gu, X. Liang, M. Yu, J. Sun, Y. Xie, F. Li, and C. Wu, 2022: A Possible Dynamic Mechanism for Rapid Production of the Extreme Hourly Rainfall in Zhengzhou City on 20 July 2021. Journal of Meteorological Research, 26, 1-20, doi:10.1007/s13351-022-1166-7.
Xu, X., J. Yin*, X. Zhang, H. Xue, H. Gu, and H. Fan, 2022: Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China. Atmospheric Research, 268, 106012, doi:https://doi.org/10.1016/j.atmosres.2021.106012.
Gong, Y., J. Yin, S. Wang, S. Yang, D. Li, and X. Pan, 2022: Climatology of Northeast China cold vortices during the warm season: A comparison of ERA5 and MERRA-2 reanalyses. International Journal of Climatology, 42, 7071-7086, doi:https://doi.org/10.1002/joc.7630.
Gong, Y., S. Yang, J. Yin, S. Wang, X. Pan, D. Li, and X. Yi, 2022: Validation of the Reproducibility of Warm-Season Northeast China Cold Vortices for ERA5 and MERRA-2 Reanalysis. Journal of Applied Meteorology and Climatology, 61, 1349-1366, doi:10.1175/JAMC-D-22-0052.1.
Yin*, J., H. Gu, J. Huang, and M. Wang, 2021: An investigation into the vertical structures of low-altitude atmosphere over the Central Taklimakan Desert in summer. Atmospheric Science Letters, n/a, e01042, doi:https://doi.org/10.1002/asl.1042.
Huang, J., J. Yin*, M. Wang, Q. He, J. Guo, J. Zhang, X. Liang, and Y. Xie, 2021: Evaluation of Five Reanalysis Products With Radiosonde Observations Over the Central Taklimakan Desert During Summer. Earth and Space Science, 8, e2021EA001707, doi:https://doi.org/10.1029/2021EA001707.
Xia, R., D.-L. Zhang, S. Fu, J. Yin, and H. Wang, 2021: On the Anomalous Development of a Series of Heavy Rainfall Events from Central to North China during 19–21 July 2016. Quarterly Journal of the Royal Meteorological Society, 148, 272-293, doi:https://doi.org/10.1002/qj.4204.
Li, M., Y. Luo, D. L. Zhang, M. Chen, C. Wu, J. Yin, and R. Ma, 2021: Analysis of a Record-Breaking Rainfall Event Associated With a Monsoon Coastal Megacity of South China Using Multisource Data. IEEE Transactions on Geoscience and Remote Sensing, 59, 6404-6414, doi:10.1109/TGRS.2020.3029831.
Yin, J., D. Zhang*, Y. Luo, and R. Ma, 2020: On the Extreme Rainfall Event of 7 May 2017 over the Coastal City of Guangzhou. Part I: Impacts of Urbanization and Orography. Mon. Wea. Rev., 148, 955–979
Wang, H., D. Chen, J. Yin*, and Coauthors, 2020: An improvement of convective precipitation nowcasting through lightning data dynamic nudging in a cloud-resolving scale forecasting system. Atmos. Res., 242, 104994
Zhao, D., Y. Yu, J. Yin, and H. Xu, 2020: Effects of Microphysical Latent Heating on the Rapid Intensification of Typhoon Hato (2017). Journal of Meteorological Research, 34, 368-386, doi:10.1007/s13351-020-9076-z.
Yin, J.*, and C. Liu, 2019: Understanding the Asian summer monsoon onset in terms of catastrophe theory. Theoretical and Applied Climatology, doi:10.1007/s00704-019-02880-2.
Wang, H., Kong, F., Wu, N., Lan, H., Yin, J.*, 2019. An investigation into microphysical structure of a squall line in South China observed with a polarimetric radar and a disdrometer, Atmospheric Research, 226, 171-180.
Chen X Y, Guo J P*, Yin J F*, et al. 2019. Tropopause trend across China from 1979 to 2016: a revisit with updated radiosonde measurements. International Journal of Climatology, 10.1002/joc.5866
Liang, X., Y. Xie, J. Yin, Y. Luo, D. Yao, and F. Li, 2019: An IVAP-Based Dealiasing Method for Radar Velocity Data Quality Control. Journal of Atmospheric and Oceanic Technology, 36, 2069-2085, doi:10.1175/JTECH-D-18-0216.1.
Liang, Z., Y. Liu, J. Yin, and C. Liu, 2019: A Case Study of the Effects of a Synoptic Situation on the Motion and Development of Warm-Sector Mesoscale Convective Systems over South China. Asia-Pacific Journal of Atmospheric Sciences, 55, 255-268, doi:10.1007/s13143-018-0063-6.
Yin J F*, Wang D H, Liang Z M, et al. 2018. Numerical Study of the Role of Microphysical Latent Heating and Surface Heat Fluxes in a Severe Precipitation Event in the Warm Sector over Southern China. Asia-Pacific Journal of Atmospheric Sciences, 54(1): 77-90
Sun X G, Yin J F*, Zhao Y. 2017. Using the inverse of expected error variance to determine weights of individual ensemble members: Application to temperature prediction. Journal of Meteorological Research, 31(3), 502–513
Yin J F*, Wang D H, Xu H B, Zhai G Q. 2015. An investigation into the three-dimensional cloud structure over East Asia from the CALIPSO-GOCCP Data. Science China: Earth Sciences, 58(12), 2236-2248
Yin Jinfang*, Wang Donghai, and Zhai Guoqing. 2015: An attempt to improve Kessler-type parameterizations of warm cloud microphysical conversion processes using CloudSat observations. J. Meteor. Res., 29(1): 82-92
Wang Donghai, Yin Jinfang*, Zhai Guoqing. 2015. In-situ measurements of cloud-precipitation microphysics in the East Asian monsoon region since 1960. J. Meteor. Res., 29(2): 155-179
Yin Jin-Fang*, Wang Donghai, Zhai Guoqing, et al. 2014. An investigation into the relationship between liquid water content and cloud number concentration in the stratiform clouds over north China. Atmospheric Research, 139(0): 137-143
Yin Jinfang, Wang Donghai*, Zhai Guoqing. 2013. A Comparative Study of Cloud-Precipitation Microphysical Properties between East Asia and Other Regions. Journal of the Meteorological Society of Japan. Ser. II, 91(4): 507-526
Yin Jinfang, Wang Donghai*, Zhai Guoqing, Wang Zhien, 2013. Observational characteristics of cloud vertical profiles over the continent of East Asia from the CloudSat data. Acta Meteorolgica Sinica, 27(1), 26-39
Yin Jinfang, Wang Donghai*, Zhai Guoqing, 2012: An Evaluation of Ice Nuclei Characteristics from the Long-term Measurement Data over North China. Asia-Pac. J. Atmos. Sci.,48:2, 197-204
Yin Jingfang, Wang Donghai*, Zhai Guoqing. 2011. Long-term in situ measurements of the cloud-precipitation microphysical properties over East Asia. Atmos. Res., 102(1-2), 206-217
鄭宇豪, 尹金方*, 許先煌, 李豐. 2024: 利用地面格點Nudging改進華南前汛期暖區強降水的數值預報. 大氣科學, doi: 10.3878/j.issn.1006-9895.2401.23072
谷皓東, 尹金方*, 許先煌, 謝衍新, 李豐, 2022: 大氣冰核濃度對華北一次大範圍強降水影響的模擬分析. 暴雨災害, 41, 413-425.
尹金方*💁🏻，黃潔，史永強，王洪🧫，梁旭東，謝衍新. 2022. Nudging地面加密觀測改進數值模式對城市效應及其觸發對流的模擬🏋🏼♂️：一次夜間個例試驗. 熱帶氣象學報, 熱帶氣象學報, 38, 331-342
尹金方, 梁旭東, 陳鋒, 等. 2018. 東亞區域大氣再分析技術研究及資料集建設. 氣象科技進展, 8(1): 79-84
尹金方*, 王東海, 許煥斌, 翟國慶, 姜曉玲. 2015. 冰核對雲和降水影響的研究. 地球科學進展, 30(3): 323-333
馬秀梅, 歐登格力, 辛渝, 尹金方*, 2015: C波段雷達在新疆區域數值預報系統中的應用初探. 沙漠與綠洲氣象, 9(6): 19-26
尹金方*, 王東海, 翟國慶. 2014. 區域中尺度模式雲微物理參數化方案特征及其在中國的適用性. 地球科學進展, 29(2): 238-249
王東海🥈，尹金方*🐈，翟國慶. 2014. 1960年以來東亞季風區雲-降水微物理的直接觀測研究.氣象學報🥒，72(4): 639-657
尹金方, 王東海*, 翟國慶.2013. 基於星載雲雷達資料的東亞大陸雲垂直結構特征分析.氣象學報, 71(1): 121-133
#以上信息由本人提供🫃🏿，更新時間：2024/10/25
