ZHOU Yanyan,WANG Chao,XIAO Tiangui,et al.Characteristics and Numerical Simulation of Relative Humidity in Underlying Surface of Basin Cities-Taking Chengdu as an Example[J].Journal of Chengdu University of Information Technology,2020,35(01):111-116.[doi:10.16836/j.cnki.jcuit.2020.01.015]
盆地城市下垫面相对湿度变化特征及数值模拟研究——以成都为例
- Title:
- Characteristics and Numerical Simulation of Relative Humidity in Underlying Surface of Basin Cities-Taking Chengdu as an Example
- 文章编号:
- 2096-1618(2020)01-0111-06
- Keywords:
- atmospheric science; numerical simulation; urban underlying surface; relative humidity; change characteristics
- 分类号:
- P435
- 文献标志码:
- A
- 摘要:
- 为研究成都地区相对湿度的变化特征及中尺度数值模式不同陆面过程方案对该地区相对湿度的模拟能力,利用成都市2014年地面观测资料和NCEP再分析资料,通过不同时间尺度统计分析和数值模拟试验的方法,对比分析成都相对湿度特征及不同陆面过程方案模拟效果。结论表明:成都市平均相对湿度较高,主要集中在85%～100%; 相对湿度季节变化中,秋季相对湿度最大,夏、冬季次之,春季最小; 日变化中白天相对湿度较小,夜间较大; 四季中相对湿度日变化大致相似,但幅度不同,春季日变化最为显著,冬、夏次之,秋季最小; 3种常用的陆面过程参数化方案对成都城市下垫面相对湿度的变化趋势模拟较好,但在极值模拟上有所差异,通过参数评估,5Layer方案对城市下垫面相对湿度模拟效果的最好。
- Abstract:
- To study the variation characteristics of relative humidity and the simulating capability of relative humidity of process schemesin different land surface while in the mesoscale numerical mode in this field.We took advantage of the ground observation data and reanalysis data and used methods of statistical analysis and numerical simulation experiment in varieties temporal scale to compare and analyze the relative humidity features and simulation effects in different surface process schemes in Chengdu.The results show that: the average relative humidity in Chengdu is comparatively high and is mainly concentrated between85% and 100%.Relative humidity in autumn is the largest, followed by summer, winter, spring, and in the diurnal variation, relative humidity in daytime is higher than night. Three frequently-used land process parameterization schemes simulated the variation trend of relative humidity of underlying surface excellently in Chengdu, but there are differences in extreme value simulation. Through parameter evaluation,the best simulation effects of relative humidity of city underlying surface is performed by 5Layer scheme.
参考文献/References:
[1] 盛裴轩.大气物理学[M].北京:北京大学出版社,2003.
[2] 丁一汇,柳艳菊.近50年我国雾和霾的长期变化特征及其与大气湿度的关系[J].中国科学:地球科学,2014,44(1):37-48.
[3] 王敏珍,郑山,王式功,等.气温与湿度的交互作用对呼吸系统疾病的影响[J].中国环境科学,2016,36(2):581-588.
[4] 姚青,蔡子颖,韩素芹,等.天津冬季相对湿度对气溶胶浓度谱分布和大气能见度的影响[J].中国环境科学,2014,34(3):596-603.
[5] 倪惠,杨雪艳.长春市空气相对湿度的气候特征分析[J].吉林气象,2001,(3):12-13.
[6] 韩会庆,蔡广鹏,伍静,等.1960-2013年贵州省绝对湿度时空变化特征[J].四川农业大学学报,2016,34(3):348-353.
[7] 翟红楠.深圳市流感与大气环境的关系研究及其预测模型的建立[D].中国地质大学,2009.
[8] 安顺清,吴其劻,焦仪珍.青藏高原及邻近地区中低空温湿度分布的一些气候特点[J].气象,1981(10):17-19.
[9] 蒋冲,穆兴民,马文勇,等.秦岭南北地区绝对湿度的时空变化及其与潜在蒸发量的关系[J].生态学报2015,35(2):378-388.
[10] 刘凡,谭钦文,江霞,等.成都市冬季相对湿度对颗粒物浓度和大气能见度的影响[J].环境科学,2018,39(4):1466-1472.
[11] 宋明,韩素芹,张敏,等.天津大气能见度与相对湿度和PM(10)及PM(2.5)的关系[J].气象与环境学报,2013,29(2):34-41.
[12] 王晓敏,韩军彩,陈静,等.石家庄地区能见度变化特征及其与相对湿度和颗粒物浓度的关系[J].干旱气象,2016,34(4):648-655.
[13] 倪惠,杨雪艳.长春市空气相对湿度的气候特征分析[J].吉林气象,2001,(3):12-13.
[14] 司鹏,罗传军,姜罕盛,等.天津地面相对湿度资料的非均一性检验及订正[J].气象,2018,44(10):1332-1341.
[15] 何建军,余晔,刘娜,等.复杂地形区陆面资料对WRF模式模拟性能的影响[J].大气科学,2014,38(3):484-498.
[16] 潘小多,李新,冉有华,等.下垫面对WRF模式模拟黑河流域区域气候精度影响研究[J].高原气象,2012,31(3):657-667.
[17] 王晓君,马浩.新一代中尺度预报模式(WRF)国内应用进展[J].地球科学进展,2011,26(11):1191-1199.
[18] 胡向军,陶健红,郑飞,等.WRF模式物理过程参数化方案简介[J].甘肃科技,2008,24(20):73-75.
[19] 赖欣,文军,岑思弦,等.CLM4.0模式对中国区域土壤湿度的数值模拟及评估研究[J].大气科学,2014,38(3):499-512.
相似文献/References:
[1]廖 琦,肖天贵,金荣花.东亚副热带西风急流年际变化特征分析[J].成都信息工程大学学报,2018,(01):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
LIAO Qi,XIAO Tian-Gui,JIN Rong Hua.Analysis on Inter-annual Variation of EastAsian Subtropical Westerly Jet[J].Journal of Chengdu University of Information Technology,2018,(01):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
[2]高清泉,韩瑽琤,肖天贵.微波通信链路监测降水试验及可行性探究[J].成都信息工程大学学报,2018,(02):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
GAO Qing-quan,HAN Cong-cheng,XIAO Tian-gui.Feasibility Study of Microwave CommunicationLink for Rainfall Monitoring Purposes[J].Journal of Chengdu University of Information Technology,2018,(01):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
[3]黄 瑶,肖天贵,刘思齐.2016年7月四川持续性强降水的中尺度滤波分析[J].成都信息工程大学学报,2018,(03):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
HUANG Yao,XIAO Tian-gui,LIU Si-qi.Mesoscale Filtering Analysis of Persistent Heavy Rainfall in Sichuan in July 2016[J].Journal of Chengdu University of Information Technology,2018,(01):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
[4]李雅婷,苏德斌,孙晓光,等.四川盆地风廓线雷达大气折射率结构常数特征分析[J].成都信息工程大学学报,2018,(04):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
LI Ya-ting,SU De-bin,SUN Xiao-guang,et al.Characteristic Analysis of Atmospheric Structure Constant of Refractive Index of
Sichuan Basin based on Wind Profiler Radar[J].Journal of Chengdu University of Information Technology,2018,(01):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
[5]石 宇,肖子牛,朱克云.夏季角动量输送变化与中国东部降水的关系[J].成都信息工程大学学报,2018,(04):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
SHI Yu,XIAO Zi-niu,ZHU Ke-yun.Relationship between Angular Momentum Transportand Precipitation in Eastern China in Summer[J].Journal of Chengdu University of Information Technology,2018,(01):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
[6]宾 昕,程志刚,王俊锋,等.近17a秦巴山区NDVI季节变化差异及其海拔依赖性特征分析[J].成都信息工程大学学报,2019,(03):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
BIN Xin,CHENG Zhigang,WANG Junfeng,et al.Seasonal Variation of NDVI and Altitude Dependent Characteristics in Qinling-Daba Mountains in Recent 17 Years[J].Journal of Chengdu University of Information Technology,2019,(01):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
[7]金凡琦,程志刚,靳立亚,等.成渝城市群热环境效应与植被覆盖度关系研究[J].成都信息工程大学学报,2019,(03):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
JIN Fanqi,CHENG Zhigang,JIN Liya,et al.Study on the Relationship between Thermal Environment Effect and Vegetation Coverage in Chengyu Urban Agglomeration[J].Journal of Chengdu University of Information Technology,2019,(01):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
[8]元 震,肖天贵.高原低涡与OLR、风场的气候变化及低频信号特征[J].成都信息工程大学学报,2018,(05):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
YUAN Zhen,XIAO Tian-gui.Climate Change and Low-frequency Signal Characteristics of
Plateau Vortex, OLR and Wind Fields[J].Journal of Chengdu University of Information Technology,2018,(01):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
[9]周 颖,向卫国.四川盆地大气混合层高度特征及其与AQI的相关性分析[J].成都信息工程大学学报,2018,(05):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
ZHOU Ying,XIANG Wei-guo.Analysis of the Characteristics of the Height of Atmospheric Mixed
Layers in Sichuan Basin and its Correlation with AQI[J].Journal of Chengdu University of Information Technology,2018,(01):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
[10]雷坤江,假 拉,肖天贵.利用FY2E 卫星降水资料对西藏地区
降水日变化特征分析[J].成都信息工程大学学报,2016,(01):86.
LEI Kun-jiang,JIA La,XIAO Tian-gui.The Characteristics of Diurnal Variations of Precipitation
Analysis in Tibet Accord to FY2E Precipitation[J].Journal of Chengdu University of Information Technology,2016,(01):86.
[11]梁家豪,陈科艺,李 毓.WRF模式中积云对流参数化方案对南海土台风“Ryan”模拟的影响研究[J].成都信息工程大学学报,2019,(02):162.[doi:10.16836/j.cnki.jcuit.2019.02.010]
LIANG Jiahao,CHEN Keyi,LI Yu.The Impact of Different Cumulus Parameterization Schemes of the WRF
Model on the Typhoon “Ryan” Simulation over the South China Sea[J].Journal of Chengdu University of Information Technology,2019,(01):162.[doi:10.16836/j.cnki.jcuit.2019.02.010]
[12]彭 敏,巩远发,纪 策,等.新疆昌吉州一次极端暴雨天气过程分析及数值模拟[J].成都信息工程大学学报,2017,(05):537.[doi:10.16836/j.cnki.jcuit.2017.05.012]
PENG Min,GONG Yuan-fa,JI Ce,et al.Xinjiang Changji once Extreme Storm Weather Process
Analysis and Numerical Simulation in June 9, 2016[J].Journal of Chengdu University of Information Technology,2017,(01):537.[doi:10.16836/j.cnki.jcuit.2017.05.012]
[13]赵胜男,王 磊,李谢辉,等.一次南京特大暴雨的数值模拟及Q矢量诊断[J].成都信息工程大学学报,2020,35(06):678.[doi:10.16836/j.cnki.jcuit.2020.06.015]
ZHAO Shengnan,WANG Lei,LI Xiehui,et al.Numerical Simulation of a Heavy Rain in Nanjing[J].Journal of Chengdu University of Information Technology,2020,35(01):678.[doi:10.16836/j.cnki.jcuit.2020.06.015]
[14]孙世杰,张小玲,樊 晋.高温背景下城市下垫面扩张对于成都市热岛效应的数值试验[J].成都信息工程大学学报,2023,38(03):358.[doi:10.16836/j.cnki.jcuit.2023.03.016]
SUN Shijie,ZHANG Xiaoling,FAN Jin.Numerical Simulation of the Effect of Urbanization on Heat Island Effect underExtreme-High-Temperature Background in Chengdu[J].Journal of Chengdu University of Information Technology,2023,38(01):358.[doi:10.16836/j.cnki.jcuit.2023.03.016]
备注/Memo
收稿日期:2019-04-09基金项目:国家科技支撑计划资助项目(2015BAC03B05); 中国气象科学研究院灾害天气国家重点实验室(2019LASW-B02); 四川省科技厅资助项目(2019YJ0360)