主要研究方向为数值天气预报技术、物理过程、次网格地形参数化及华南天气机理等。长期从事区域数值天气预报模式技术研发，包括次网格地形重力波拖曳、地形阻塞流拖曳参数化、华南暖区暴雨机理、预报评估及其模式技术改进与研发等，研究成果获得中国气象局气象科学技术进步成果二等奖和广东省气象科技成果特等奖。主持完成国家自然基金青年基金项目、公益性行业专项子课题等项目，参与国家重大专项、广东省重大专项等项目。

● 2000.9 - 2004.7  云南大学/大气科学                   大学     学士
● 2005.9 - 2008.7  中国气象科学研究院/气象学          研究生   硕士
● 2008.9 - 2011.7  中国气象科学研究院/气象学          研究生   博士
● 2012.5 -至今   中国气象局广州热带海洋气象研究所 副研究员

ZhonZhong,S.X.,  MengW. G., Tian F. Y. 2021. Budgets of rotational and divergent kinetic energy inthe warm-sector torrential rains over South China: a case study. Meteorologyand Atmospheric Physics.10.1007/s00703-021-00778-1

ZhongShui-xin, Chen Zi-tong, Xu Dao-sheng, et al. A review on GRAPES-TMM operationalmodel system at Guangzhou regional meteorological center，2020，J. Trop. Meteor, 26(4):495-504,http://doi/org/10.46267/j.1006-8775.2020.043

Zhong, S. X., TianF. Y. 2020. The heavy rainfall during the warm season over the Pearl RiverDelta region: Movements and early signals. Atmospheric Science Letters. 2021，22（2）：1-7.https://doi. org/10.1002/asl.1012

ZhongS. X., Yang S. (2020) Nocturnal-to-morning rains during the warmseason in South China: characteristics and predictability, Atmospheric andOceanic Science Letters, 13(6): 527-533. doi: 10.1080/16742834.2020.1820844

 Zhong, S. X. 2020. Diurnal variation of the duration and environment for heavy rainfall during the warm season in South China. Atmos Sci Lett.1–6.

Zhong, S. X., Chen, Z. T. 2020. Numerical studies on the predictability of GRAPES model over south china: comparisons by two initialization conditions between ECMWF and NCEP.  J. Trop. Meteor, 26:27-34.

Zhong S. X., Yang S, Chen Z.T.  2019. Evaluation of the parameterization schemes and nudging techniques in GRAPES for warm sector torrential rains using surface observations.  J. Trop. Meteor, 25(3):353-364.

Zhong, S. X., Yang S., Guo C.Y. Chen Z.T, 2019. Capabilities and limitations of grapes simulations of extreme precipitation in the warm sector over a complex orography.  J. Trop. Meteor, 25(2):180-191.

Zhong, S. X., Li X. Y., Yang S., Chen, Z. T., 2019. Characteristics and synoptic environment of torrential rain in the warm sector over South China: a composite study.  Meteorol Atmos Phys. 131(5), 1191-1203.

Zhong, S. X., Chen, Z. T. Xu D. S. and Zhang Y. X. 2018: Evaluating and improving wind forecasts over South China: The role of orographic parameterization in the GRAPES model. Adv. Atmos. Sci. 35(6), 713-722. 

Zhong, S. X., Chen, Z. T. 2017: The Impacts of Atmospheric Moisture Transportation on Warm Sector Torrential Rains over South China. Atmosphere,8, 116.

Zhong, S. X., Chen, Z. T., Wang, G., Meng, W. G. and Huang, R. 2016. Improved forecasting of cold air outbreaks over shouthern China through orographic gravity wave drag parameterization, J. Trop. Meteo, 22:522-534. 

Zhong, S. X., Chen, Z. T. 2015: Improved wind circulations and precipitation forecasts over southwest china using a modified orographic parameterization scheme. J. Meteor. Res., 29(1):132-143

Xu, D. S., Chen, Z. T., Zhong, S. X., Wen, Y. J., & Xie, D. D. (2015). The limitation of cloud-base mass flux in cumulus parameterization and its application in a high-resolution model. J. Meteor. Res., 21, 11.

Chen Zitong, Zhang Chengzhong, Huang Yanyan, Feng Yerong,Zhong Shuixin, Dai Guangfeng, Xu Daosheng and Yang Zhaoli. 2014: Track of Super Typhoon Haiyan Predicted by a Typhoon Model for the South China Sea. J. Meteor. Res., 4:510-523.

Shuai Yang, Xiba Tang, Shuixin Zhong, et al. 2019: Convective bursts episode of the rapidly intensified typhoon Mujigae. Adv. Atmos. Sci., 36(5): 541-556.

钟水新,陈子通.天气与气候模式中次网格重力波拖曳参数化的研究. 高原气象, 2015,34(4): 1177-1185

钟水新,陈子通,戴光丰,徐道生,黄燕燕,张诚忠,蒙伟光,杨兆礼.2014:地形重力波拖曳参数化对热带气旋强度和路径预报影响的研究.大气科学,38(2):273-284.

钟水新，陈子通，黄燕燕，张诚忠，徐道生，戴光丰，杨兆礼. 2014:地形重力波拖曳参数化方案在华南中尺度模式（GRAPES）中的应用试验.热带气象学报，30(3):633-643.

钟水新,王东海,张人禾,等.一次冷涡发展阶段大暴雨过程的中尺度对流系统研究.高原气象, 2013, 32(2): 435r-445.

钟水新,王东海,张人禾.一次东北冷涡降水过程的结构特征与影响因子分析.高原气象, 2011, 30(4): 951-960.

钟水新,王东海,张人禾. (2011).基于CloudSat资料的冷涡对流云带垂直结构特征. 应用气象学报, 22(3), 257.

陈子通,戴光丰,钟水新,等.中国南海台风模式(TRAMs v2. 0)技术特点及其预报性能[J].热带气象学报, 2016, 32(6): 831-840.

徐道生,张艳霞,陈子通,戴光丰,钟水新: 2016,不同水汽分析场对一次华南前汛期暴雨预报的影响分析,热带气象学报2:155-162

陈子通,戴光丰,罗秋红,钟水新,张艳霞,徐道生,黄燕燕,2016:模式动力过程与物理过程耦合及其对台风预报的影响研究,热带气象学报，1:1-8

张艳霞,蒙伟光,张诚忠,徐道生,钟水新.2015: LAPS云分析中卫星资料的应用及对GRAPES模式短时预报的影响.热带气象学报,31(5):599-607

陈子通，张诚忠，黄燕燕，冯业荣，钟水新，戴光丰，徐道生，杨兆礼. 2014:南海台风模式对“海燕”移动路径的预报.气象学报，04:678-689.

徐道生，陈子通，钟水新，温焰军，谢东东. 2014:积云参数化方案中云底质量通量的限制及在高分辨率模式中的应用.热带气象学报，03:401-412.

田付友,郑永光,毛冬艳,谌芸,钟水新,2014:基于Γ函数的暖季小时降水概率分布,气象，40(7):787-795

王丹,王改利, 刘黎平, 钟水新. 2014.基于雷达回波外推和中尺度模式预报的短时降水对比分析，高原气象，33 (3): 811-822