The planetary boundary layer height (PBLH) are calculated by using the radiosonde sounding data of 38 L-band operational sites during September 2015 to August 2016 in Northwest China. The radiosonde sounding data of 6 intensive sounding sites are also used. The diurnal and seasonal variations of PBLH have been analyzed by using the radiosonde sounding data and ERA-Interim Daily data. The PBLH-OBS (PBLH derived from of sounding data) shows that in Northwest China, the PBLH-OBS is highest in winter at 08:00 (Beijing time, the same as after). And the PBLH-OBS is highest in spring at 20:00 and decreased significantly from west to east. Compared to the PBLH-OBS, the PBLH-ERA (PBLH of ERA-Interim Daily data) are all lower except the PBLH of 20:00 in summer. The annual PBLH are lower 160 m (170 m) at 08:00 (20:00). The PBLH-ERA of 08:00 (20:00) is lower significantly in winter (summer). PBLH-ERA can basically show the regional distribution of PBLH in Northwest China. The correlation between the PBLH and the lower tropospheric stability (LST), the near surface temperature (Ts) and the 10 m wind speed (WS) is more significant at 08:00. And the PBLH is more related to LST and relative humidity (RH) at 20:00. The intensive sounding data shows that the PBLH-ERA of convective/neutral boundary layer is significantly higher in July 2016. The lower LST, RH and higher WS may be the cause of the higher PBLH-ERA. The stable boundary layer height of PBLH is lower, which is related to lower LST and Ts, but the influencing factors are more complex.
ZHAO Cailing
,
LI Yaohui
,
LIU Yuanpu
,
ZHOU Ganlin
,
ZHANG Tiejun
,
SUN Xuying
. The Variation Characteristics of Planetary Boundary Layer Height in Northwest China: Based on Radiosonde and ERA-Interim Reanalysis Data[J]. Plateau Meteorology, 2019
, 38(6)
: 1181
-1193
.
DOI: 10.7522/j.issn.1000-0534.2018.00152
[1]Davies F, Middleton D R, Bozier K E, 2007. Urban air pollution modelling and measurements of boundary layer height[J]. Atmospheric Environment, 41(19):4040-4049. DOI:10.1016/j.atmosenv. 2007.01.015.
[2]Guo J, Miao Y, Zhang Y, et al, 2016. The climatology of planetary boundary layer height in China derived from radiosonde and reanalysis data[J]. Atmospheric Chemistry and Physics, 16(20):13309-13319. DOI:10.5194/acp-2016-564.
[3]Klink K, 1999. Trends in mean monthly maximum and minimum surface wind speeds in the co-terminous United States[J]. Climate Research, 13(3):193-205.
[4]Liu J, Huang J, Chen B, et al, 2015. Comparisons of PBL heights derived from CALIPSO and ECMWF reanalysis data over China[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 153:102-112. DOI:10.1016/j.jqsrt. 2014.10.011.
[5]Liu S Y, Liang X Z, 2009. Observed diurnal cycle climatology of planetary boundary layer height[J]. Journal of Climate, 23(21):5790-5809. DOI:10.1175/2010JCLI3552.1.
[6]Martilli A, 2002. Numerical study of urban impact on boundary layer structure:Sensitivity to wind speed, urban norphology, and rural soil moisture[J]. Journal of Applied Meteorology, 41(12):1247-1266. DOI:10.1175/1520-0450(2002)041 < 1247:NSOUIO>2.0. CO; 2.
[7]Medeiros B, Hall A, Stevens B, 2005.What controls the mean depth of the PBL?[J]. Journal of Climate, 18(16):3157-3172. DOI:10.1175/JCLI3417.1.
[8]Quan J, Gao Y, Zhang Q, et al, 2012. Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations[J]. Particuology, 11(1):34-40. DOI:10.1016/j.partic. 2012.04.005.
[9]Seidel D J, Ao C O, Li K, 2010. Estimating climatological planetary boundary layer heights from radiosonde observations:Comparison of methods and uncertainty analysis[J]. Journal of Geophysical Research, 115:D16133. DOI:10.1029/2009JD013680.
[10]Seidel D J, Zhang Y, Beljaars A, et al, 2012. Climatology of the planetary boundary layer over the continental United States and Europe[J]. Journal of Geophysical Research, 117:D17106. DOI:10.1029/2012JD018143.
[11]Stull R B, 1988. An introduction to boundary layer meteorology[M]. Dordrecht:Kluwer Academic Publishers, 2.
[12]Yang T, Wang Z, Zhang W, et al, 2017. Technical note:Boundary layer height determination from lidar for improving air pollution episode modeling:Development of new algorithm and evaluation[J]. Atmospheric Chemistry and Physics, 17(10):1-15. DOI:10.5194/acp-17-6215-2017.
[13]Zhang Y H, Zhang S D, Huang C M, et al, 2014. Diurnal variations of the planetary boundary layer height estimated from intensive radiosonde observations over Yichang, China[J]. Science China Technological Sciences, 57(11):2172-2176. DOI:10.1007/s11431-014-5639-5.
[14]Zhao Y, Mao W, Zhang K, et al, 2017. Climatic variations in the boundary layer height of arid and semiarid areas in East Asia and North Africa[J]. Journal of the Meteorological Society of Japan, 95(3):181-197. DOI:10.2151/jmsj. 2017-010.
[15]程海艳, 余晔, 陈晋北, 等, 2018.大气红外探测器(AIRS)温、湿廓线反演产品及边界层高度在黄土高原的验证[J].高原气象, 37(2):432-442. DOI:10.7522/j.issn.1000-0534.2017.00094.
[16]杜一博, 张强, 王凯嘉, 等, 2018.西北干旱区夏季晴天、阴天边界层结构及其陆面过程对比分析[J].高原气象, 37(1):148-157. DOI:10.7522/j.issn.1000-0534.2017.00042.
[17]黄刚, 2006. NCEP/NCAR和ERA-40再分析资料以及探空观测资料分析中国北方地区年代际气候变化[J].气候与环境研究, 11(3):310-320.
[18]惠小英, 高晓清, 韦志刚, 等, 2011.利用探空气球升速判定敦煌夏季白天边界层高度的分析[J].高原气象, 30(3):614-619.
[19]刘超, 花丛, 张恒德, 等, 2017. L波段探空雷达秒数据在污染天气边界层分析中的应用[J].气象, 43(5):591-597.
[20]刘菊菊, 游庆龙, 周毓荃, 等, 2018.基于ERA-Interim的中国云水量时空分布和变化趋势[J].高原气象, 37(6):1590-1604. DOI:10.7522/j.issn.1000-0534.2018.00059.
[21]苏彦入, 吕世华, 范广洲, 2018.青藏高原夏季大气边界层高度与地表能量输送变化特征分析[J].高原气象, 37(6):1470-1485. DOI:10.7522/j.issn.1000-0534.2018.00040.
[22]宋星灼, 张宏升, 刘新建, 等, 2006.青藏高原中部地区不稳定大气边界层高度的确定与分析[J].北京大学学报(自然科学版), 42(3):328-333.
[23]万云霞, 张宇, 张瑾文, 等, 2017.感热变化对东亚地区大气边界层高度的影响[J].高原气象, 36(1):173-182. DOI:10.7522/j.issn.1000-0534.2016.00001.
[24]王坚, 蔡旭晖, 宋宇, 2016.北京地区日最大边界层高度的气候统计特征[J].气候与环境研究, 21(5):525-532. DOI:10.3878/j.issn.1006-9585.2016.15178.
[25]王英, 熊安元, 2015. L波段探空仪器换型对高空湿度资料的影响[J].应用气象学报, 26(1):76-86.
[26]韦志刚, 陈文, 黄荣辉, 2010.敦煌夏末大气垂直结构和边界层高度特征[J].大气科学, 34(5):905-913.
[27]张强, 黄荣辉, 王胜, 2011.浅论西北干旱区陆面过程和大气边界层对区域天气气候的特殊作用[J].干旱气象, 29(1):133-136.
[28]张强, 王胜, 2008.西北干旱区夏季大气边界层结构及其陆面过程特征[J].气象学报, 66(4):599-608.
