WANG Yidan,YANG Huiling,SUN Yue,et al.Temporal and Spatial Distribution of Water Vapor and Cloud Water in the Sanjiangyuan Region from 1998 to 2017[J].Journal of Chengdu University of Information Technology,2021,36(02):174-184.[doi:10.16836/j.cnki.jcuit.2021.02.009]
1998-2017年三江源地区水汽和云水状况的时空分布
- Title:
- Temporal and Spatial Distribution of Water Vapor and Cloud Water in the Sanjiangyuan Region from 1998 to 2017
- 文章编号:
- 2096-1618(2021)02-0174-11
- Keywords:
- atmospheric science; cloud and precipitation physics; liquid cloud water; ice cloud water; spatiotemporal distribution
- 分类号:
- P426
- 文献标志码:
- A
- 摘要:
- 针对三江源地区水资源的时空分布特征,利用1998-2017年CMORPH的卫星反演逐时降水资料和ECMWF(ERA-interim)的高时空分辨率的月平均液相云水、冰相云水、水汽数据以及 NCEP/NCAR的再分析资料等,并采用经验正交分解(EOF)、通量分析等方法,分析三江源地区空中液相云水、冰相云水的时空分布特征以及与水汽输送变化的关系。结果表明:三江源地区降水、水汽和云水的平均气候态特征基本一致,空间分布表现均为东多西少,并随时间均呈现增长趋势; EOF分解的三江源地区降水、水汽和云水的平均场空间分布分别表现为:中间-四周反相型、整体一致型、西北-东南位相反相型,相应的云水和降水平均场随时间有明显的下降趋势,而水汽平均场却略呈上升趋势。三江源地区水汽的来源主要有西北水汽输送带和西南水汽输送带,并且三江源处于“水汇”区。进一步分析表明,水汽向青藏高原水平输送量从600 hPa高度开始向上减弱; 利用垂直剖面分析出青藏高原的南坡相对湿度很大,并且水汽抬升也很强烈,同时伴有较强的垂直速度,会导致三江源地区形成云水的汇聚。
- Abstract:
- With regard to the spatial-temporal distribution characteristics of water resources in Three Rivers,we took advantage of CMORPH satellite inversion hourly precipitation data from 1998 to 2017 and ECMWF(ERA-Interim)high-temporal resolution monthly average liquid cloud water,ice cloud water,water vapor data and NCEP/NCAR reanalysis data,methods such as empirical orthogonal decomposition(EOF)and flux analysis were also used,to analyze the spatial-temporal distribution characteristics of the liquid-phase cloud water and ice-phase cloud water in the aerial region of the Sanjiang yuan and their relationship with the changes in water vapor transport.The results show that the average climatic characteristics of precipitation,water vapor and cloud water in the three river source areas are basically the same, and the spatial distribution is more in the east and less in the west, and there is an increasing trend over time; The precipitation, water vapor and cloud water average field distribution discomposed by the EOF are followings:middle-fourth phase inversion type, overall uniform type, northwest-southeast phase opposite phase type.The corresponding cloud water and precipitation average fields have a clear downward trend with time, while the average water vapor fields have a upward trend. The sources of water vapor in the Sanjiangyuan area mainly include the northwest water vapor conveyor belt and the southwest water vapor conveyor belt, and the three river sources are located in the “water sink” area. Further analysis shows that the horizontal transport of water vapor to the Qinghai-Tibet Plateau begins to weaken upwards from the 600 hPa height; the relative humidity of the southern slope of the Qinghai-Tibet Plateau is very high through the analysis of a vertical profile,and the water vapor rise is also very strong, accompanied by a strong vertical velocity. It leads to the formation of cloud water in the Sanjiangyuan region.
参考文献/References:
[1] 李兴宇,郭学良,朱江.中国地区空中云水资源气候分布特征及变化趋势[J].大气科学,2008,32(5):1095-1106.
[2] Yang H L,Xiao H,Guo C W,et al.Spatial-temporal analysis of precipitation variability in Qinghai Province[J].Atmospheric Research,2019,228:242-260.
[3] Hagos S,Rubyleung L,Yang Q,et al.Resolution and Dynamical Core Dependence of Atmospheric River Frequency in Global Model Simulations[J].Journal of Climate,2015,28:2764-2776.
[4] Lavers DA,Allan RP,Villarini,et al.Future changes in atmospheric rivers and their implications for winter flooding in Britain[J].IOP science 2013(8):1748-9326.
[5] Dettinger MD.Atmospheric Rivers as Drought Busters on the U.S.West Coast[J].Scripps Institution of Oceanography,2013:1721-1731.
[6] Alexander L V,Zhang X,Peterson,T C,et al.Global observed changes in daily climate extremes of temperature and precipitation[J].J.Geophys.Res.2006,111,D05109.
[7] Barros V R,Doyle M E,Camilloni I A.Precipitation trends in southeastern South America: relationship with ENSO phases and with low-level circulation[J].Theor.Appl.Climatol.2008,93:19-33.
[8] Haren R V,Oldenborgh G,Lenderink G,et al.SST and circulation trend biases cause an underestimation of European precipitation trends[J].Clim.Dyn.2013(40):1-20.
[9] Zhai P M,Zhang X B,Wan H,et al.Trends in total precipitation and frequency of daily precipitation extremes over China[J].J.Clim.2005,18:1096-1108.
[10] Turner A G,Annamalai H.Climate change and the south Asian summer monsoon[J].Nat.Clim.Chang.2012,2:587-595.
[11] Li X.Long-term change in summer water vapor transport over South China in recent decades[J].J.Meteorol.Soc.Japan.2011,89A:271-282.
[12] Wang W,Shao Q X,Yang T,et al.Changes in daily temperature and precipitation extremes in the Yellow River Basin[J].Stoch.Environ.Res.Risk Assess.2013,27:401-421.
[13] Huang Ronghui,Zhang Zhenzhou,Huang Gang.Characteristics of the Water Vapor Transport in East Asian Monsoon Region and Its Difference from that in South Asian Monsoon Region in Summer[J].Scientia Atmospherica Sinica,1998,22(4):460-469.
[14] 徐祥德,陶诗言,王继志,等.青藏高原季风水汽输送“大三角扇型”影响域特征与中国区域旱涝异常的关系[J].气象学报,2002,60(3):258-264.
[15] 蔡英,钱正安,宋敏红.华北和西北干湿年间水汽场及东亚夏季风的对比分析[J].高原气象,2003,22(1):14-23.
[16] 李生辰,李栋梁,赵平,等.青藏高原“三江源地区”雨季水汽输送特征[J].气象学报,2009,67(4):590-598.
[17] 王可丽,程国栋,丁永建,等.黄河、长江源区降水变化的水汽输送和环流特征[J].冰川冻土,2006,28(1):9-14.
[18] 唐红玉,杨小丹,王希绢,等.三江源地区近50年降水变化分析[J].高原气象,2007,26(1):48-54.
[19] 马艳,靳立亚,段炼,等.三江源湿地的退化对区域气候的影响[J].高原山地气象研究,2011,31(1):43-45.
[20] 张颖,章超斌,王钊齐,等.三江源1982-2012年草地植被覆盖度动态及其对气候变化的响应[J].草业科学,2017,34(10):1977-1990.
[21] 强安丰,魏加华,解宏伟,等.三江源区大气水汽含量时空特征及其转化变化[J].水科学进展,2019,30(1):15-23.
[22] 刘晓琼,吴泽洲,刘彦随,等.1960-2015年青海三江源地区降水时空特征[J].地理学报,2019,74(9):1804-1820.
[23] Liu Jinliang,Ronald E Stewart. Water vapor fluxes over the Saskatchewan River basin [J]. J Hydrometeor,2003(4):944-959.
[24] Liu Jinliang,Ronald E Stewart,Kit K Szeto.Moisture transport and other hydrometeorological features associated with the severe 2000/01 drought over the western and central Canadian Prairies[J].J Climate,2003,15:305-319.
[25] 陈艳,丁一汇,肖子牛,等.水汽输送对云南夏季风爆发及初夏降水异常的影响[J].大气科学,2006,30(1):25-37.
[26] 黄嘉佑.气象统计分析与预报方法[M].北京:气象出版社,1990.
[27] 杨景梅,邱金桓.用地面湿度参量计算我国整层大气可降水量及有效水汽含量方法的研究[J].大气科学,2002,26(1):10-22.
[28] 朱乾根,林锦瑞,寿绍文,等.天气学原理和方法[M].北京:气象出版社,2000.
[29] 徐祥德,赵天良,Lu Chungu,等.青藏高原大气水分循环特征[J].气象学报,2014,72(6):1079-1095.
相似文献/References:
[1]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,(02):162.[doi:10.16836/j.cnki.jcuit.2019.02.010]
[2]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,(02):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
[3]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,(02):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
[4]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,(02):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
[5]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,(02):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
[6]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,(02):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
[7]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,(02):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
[8]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,(02):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
[9]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,(02):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
[10]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,(02):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
备注/Memo
收稿日期:2020-04-13
基金项目:国家重点研发计划资助项目(2016YFE0201900-02); 国家自然科学基金资助项目(41575037); 国家重点基础研究发展计划(973)资助项目(2014CB441403)