Study on Aerosol Radiative Effect Based on Lidar Data

doi:10． 11755/j． issn． 1006 －7639(2014) －02 －0248

Abstract

Abstract:

Based on lidar data and a comprehensive numerical model system，the interaction between urban aerosol radiative effect and
atmospheric boundary layer (ABL) under the typical winter weather condition in Lanzhou and surrounding areas with complicated ter-
rain was investigated by ideal numerical experiments． The results showed that cooling effect of lower altitude air layer (50 － 600 m)
with aerosol was obvious during the night and the temperature reduced 0． 13 to 0． 18 ℃，but that of atmosphere layer above 600 m
height was small because of the lower aerosol concentration and the temperature decreasing was less than 0． 1 ℃． The temperature of
atmospheric boundary layer increased obviously due to the aerosol shortwave radiation effects during the day，and there was a peak val-
ue above the top of the inversion temperature layer around 300 m near to the surface． Above 600 m height，the increasing temperature
was reduced from more than 0． 2 to 0． 1 ℃ during the day because the aerosol concentration decreased and heating rate correspondingly
reduced． In additional，the existence of aerosol reduced the wind speed in the same layer． This paper showed that the lidar data was
very useful to understand aerosol radiative effect and atmospheric boundary layer．

Key words: WRF model, aerosol radiative effect, lidar, ABL, numerical simulation

摘要：

利用新型激光雷达气溶胶探测资料及综合数值模式，以地形复杂的兰州市及周边地区冬季典型天气形势下的大气边界层为研究对象，通过理想试验模拟研究了城市气溶胶辐射效应与大气边界层的相互作用。结果表明:夜间，低空(50 ～600 m)气溶胶所在气层冷却效应明显，温度降低 0． 13 ～0． 18 ℃，600 m 高度以上，气溶胶浓度较低，其冷却效应较小，温度降低不足 0． 1 ℃;白天，受气溶胶短波辐射效应影响，边界层内增温明显，增温最大值位于低层脱地逆温层顶 300 m 高度附近，600 m 以上由于气溶胶浓度减小，加热率亦降低，增温由＞0． 2 ℃减至 0． 1 ℃。此外，气溶胶的存在使得所在层的风速降低。可见，激光雷达探测资料在边界层模式中有很好的应用价值，对于研究气溶胶辐射效应的大气边界层响应有重要意义。

关键词: WRF 模式, 气溶胶辐射效应;激光雷达, 大气边界层, 数值模拟

CLC Number:

P427． 1

HU Xiangjun，ZHANG Lei，ZHENG Fei，WANG Tengjiao. Study on Aerosol Radiative Effect Based on Lidar Data[J]. Journal of Arid Meteorology, DOI: 10． 11755/j． issn． 1006 －7639(2014) －02 －0248.

胡向军，张镭，郑飞，王腾蛟. 基于激光雷达资料的气溶胶辐射效应研究[J]. 干旱气象, DOI: 10． 11755/j． issn． 1006 －7639(2014) －02 －0248.

References

［1］张镭．城市大气气溶胶与边界层相互作用研究［D］．兰州:兰州大学，2001．

［2］陈长和，黄建国，程麟生，等．复杂地形大气边界层和大气扩散研究［M］．北京:气象出版社，1993．

［3］陈长和，王海啸，黄建国，等．城市气溶胶辐射效应及对混合层发展的影响［J］．科学通报，1993，38(15):1399 －1402．

［4］李乐泉，周明煜，李兴生．夜间城市大气边界层和气溶胶的相互作用［J］．应用气象学报，1992，3(1):32 －41．

［5］田文寿，陈长和，黄建国，等．兰州冬季气溶胶的短波加热效应以及对混合层发展的影响［J］．应用气象学报，1997，8(3):292－301．

［6］王海啸，陈长和．城市气溶胶对边界层热量收支的影响［J］．高原气象，1994，13(4):441 －448．

［7］王海啸，陈长和，黄建国．烟雾层的长波辐射效应以及对边界层温度层结的影响［J］．大气科学，1994，18(1):22 －29．

［8］王海啸，黄建国，陈长和．城市气溶胶对太阳辐射的影响及其在边界层温度变化中的反映［J］．气象学报，1993，51(4):457 －464．

［9］杨硕文，周明煜，李兴生．夜间稳定大气边界层的数值模拟［J］．中国科学(B 辑)，1996，26(9):999 －1008．

［10］张镭，陈长和，田文寿．大气气溶胶及其与气候的相互作用［M］．北京:气象出版社，1996． 181 －182．

［11］Atwater M A． Thermal change induced by urbanization and pollu-tants［J］． Applied Meteorology，1975，14:1061 －1071．

［12］Bergstorm R W，Viskanta R． Modeling of the effects of gaseous and particulate pollutants in the urban atmosphere，Part I: thermal

structure［J］． Applied Meteorology，1973，12(6):901 －912．

［13］Cautenet G，Legrand M，Cautenet S． Thermal impact of Saharan Dust over land，part I:simulation［J］． Meteorology，1992，31:166

－180．

［14］Viskanta R，Bergstorm R W，Johnson R O． Effects of air pollution on thermal structure and dispersion in an urban planetary layer

［J］． Beitrage Zur Physik der Atmosphare，1977，50:419 －440．

［15］ Viskanta R，Daniel R A． Radiative effects of elevated pollutant layers on temperature structure and dispersion in an urban atmos-

phere［J］． Appl Meteor，1980，19(1):53 －69．

［16］Welch R M，Paegle J，Zdunkowski W G． Two － dimensional nu-merical simulation of the effects of air pollution upon the urban －

rural complex［J］． Tellus，1978，30:136 －150．

［17］ Yoshida A． Two － dimensional numerical simulation of thermal structure of urban polluted atmosphere (effects of aerosol character-

istics)［J］． Atmospheric Environment，1991，25B(1):17 －23．

［18］Huang J，Fu Q，Su J，et al． Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu － Liou ra-

diation model with CERES constraints［J］． Atmos Chem Phys，2009，9:4011 －4021． doi:10． 5194/acp －9 －4011 －2009．

［19］Hatzianastassiou N，Matsoukas C，Drakakis E，et al． The direct effect of aerosols on solar radiation based on satellite observations，reanalysis datasets，and spectral aerosol optical properties from Global Aerosol Data Set (GADS)［J］． Atmos Chem Phys，2007，

7:2585 －2599． doi:10． 5194/acp －7 －2585 －2007．

［20］Xu J，Li C，Shi H，et al． Analysis on the impact of aerosol opticaldepth on surface solar radiation in the Shanghai megacity，China

［J］． Atmos Chem Phys，2011，11:3281 － 3289． doi:10． 5194/acp －11 －3281 －2011．

［21］Su J，Huang J P，Fu Q，et al． Estimation of Asian dust aerosol effect on cloud radiation forcing using Fu － Liou radiative model

and CERES measurements［J］． Atmos Chem Phys，2008，8:2763－2771． doi:10． 5194/acp －8 －2763 －2008．

［22］张婕，刘海文，肖国杰，等．采暖期前后兰州城市气溶胶光学特性变化特征［J］．干旱气象，2012，30(2):178 －181．

［23］王瑾，张镭，王腾蛟，等．兰州附近山谷典型日环流特征对比分析［J］．干旱气象，2012，30(2):169 －177．

［24］祁斌，王式功，刘宇，等．兰州市空气污染气象条件综合分析［J］．陕西气象，2001(6):27 －30．

［25］殷达中，洪钟祥．北京地区严重污染状况下的大气边界层结构与参数研究［J］．气候与环境研究，1999(4):303 －307．

［26］宋薇，张镭．大气气溶胶光学厚度遥感研究概况［J］．干旱气象，2007，25(3):76 －81．

［27］夏俊荣，张镭． Mie 散射激光雷达探测大气气溶胶的进展［J］．干旱气象，2006，24(4):68 －72．

［28］周天，黄忠伟，黄建平，等．黄土高原地区云垂直结构的激光雷达遥感研究［J］．干旱气象，2013，31(2):246 －253．

［29］张龙，张镭，王颖，等．基于 WRF 不同边界层方案的黄土高原丘陵冬季地面气象要素日变化模拟分析［J］．干旱气象，2012，30(2):158 －168．

［30］奚晓霞，权建农，陈长和，等．兰州市城关区冬季 TSP 的监测分析及其与辐射的关系［J］．高原气象，2002，21(4):427 －431．

［31］Chen C H，Wang H X，Huang J G，et al． Radiative effects of ur-ban aerosols and their influence on mixed layer development［J］．

Chinese Science Bulletin，1994，39(1):56 －61．

［32］张裕芬，陈长和．冬季兰州城市上空层结特征的分析研究［J］．兰州大学学报(自然科学版)，1998，34(2):104 －110．

［33］张强，吕世华，张广庶．山谷城市大气边界层结构及输送能力［J］．高原气象，2003，22(4):346 －353．

［34］张强．兰州大气污染物浓度与局地气候环境因子的关系［J］．兰州大学学报(自然科学版)，2003，39(1):99 －106．

［35］张强．地形和逆温层对兰州市污染物输送的影响［J］．中国环境科学，2001，21(3):230 －234．

［36］胡隐樵，张强．兰州山谷大气污染的物理机制与防治对策［J］．中国环境科学，1999，19(2): 119 －122．

[1]	LIN Yingyi,WANG Shigong,MA Pan,ZHANG Jinghong,ZHANG Yajie. Characteristics of Human Body Comfortable Degree in Hainan Island Based on REOF Method [J]. Journal of Arid Meteorology, 2021, 39(5): 838-846.
[2]	PAN Weihua, YU Yongjiang, LUO Yanyan, ZHANG Linlin, YANG Zhiyong. Analysis of Spatio-temporal Distribution Characteristics of Atmospheric Precipitable Resources over Fujian Based on Groundbased GPS Data [J]. Journal of Arid Meteorology, 2021, 39(4): 577-584.
[3]	ZHANG Kaijun, FU Longyan, LI Lanqian, SHAO Aimei. Comparison of Two Lidarbased Alerting Algorithms for Low-level Wind Shear [J]. Journal of Arid Meteorology, 2021, 39(4): 652-661.
[4]	REN Yong, CHEN Sai, YU Anan, FAN Mengqi. Reliability Analysis of Wind Field and Boundary Layer Height in Xiamen Retrieved by Coherent Doppler Wind Lidar [J]. Journal of Arid Meteorology, 2021, 39(3): 514-523.
[5]	WANG Xiwen, ZHANG Feimin, WANG Zhilan, YANG Kai, WANG Chenghai. Numerical Simulation Study of a Tibetan Plateau Vortex over the Western Tibetan Plateau [J]. Journal of Arid Meteorology, 2021, 39(1): 54-64.
[6]	DONG Fu, ZHANG Ling, ZHANG Haipeng, LI Jia, SONG Liuxian. Review of Ensemble Forecast of Severe Weather Process Based on WRF Model [J]. Journal of Arid Meteorology, 2020, 38(5): 699-708.
[7]	REN Yulong, ZHANG Tiejun, LIU Yuanpu, WU Jing. Numerical Simulation of Influence of Underlying Surface Heterogeneity on a Rainstorm Process in Summer Monsoon Transition Zone of China [J]. Journal of Arid Meteorology, 2020, 38(5): 755-763.
[8]	SUN Ming, WANG Boni, AI Wenwen, XIA Minjie. Analysis on a Heavy Fog Process Induced by Warm-sector Rainfall in Southern Jiangsu [J]. Journal of Arid Meteorology, 2020, 38(5): 764-770.
[9]	QI Yajie, CHEN Min, ZHONG Jiqin, FAN Shuiyong, LIU Ruiting, GUO Chunwei. Effect Evaluation of Short-term Forecast of Surface Meteorological Elements by Using RMAPS-ST Coupled Urban Canopy Model in North China [J]. Journal of Arid Meteorology, 2020, 38(5): 859-868.
[10]	YANG Kan JI Xiaoling, MAO Lu, ZHANG Suzhao. Numerical Simulation and Comparative Analysis of Topographic Effects on Two Extraordinary Severe Flood Rainstorms in Helan Mountain [J]. Journal of Arid Meteorology, 2020, 38(4): 581-590.
[11]	YI Nana, SU Lijuan, SHI Jinli, DONG Zhulei, XU Zhili. Impact of Different Cloud Microphysics ParameterizationSchemes on Hail Simulation [J]. Journal of Arid Meteorology, 2020, 38(4): 619-631.
[12]	ZENG Yong, YANG Lianmei, ZHANG Yingxin. Numerical Simulation of Mesoscale System During a Rare Torrential Rainstorm Process in Yili of Xinjiang [J]. Journal of Arid Meteorology, 2020, 38(2): 290-300.
[13]	HAN Huibang, ZHANG Xiaojun, ZHANG Boyue, TIAN Jianbing, KANG Xiaoyan. Accuracy Test of Precipitable Water Vapor Retrieved by GPS Data and Its Variation Characteristic in Qaidam Basin [J]. Journal of Arid Meteorology, 2020, 38(1): 50-57.
[14]	TANG Lin, LI Qiong, LI Zuxian, CAI Miao, CAI Ronghui, GAO Qin. Numerical Simulation of Mircophysical Structure of a Mixed Convective Stratiform Cloud System and Analysis of Seeding Conditions#br# [J]. Journal of Arid Meteorology, 2020, 38(1): 100-108.
[15]	ZHENG Jing, CHEN Juan, XU Xingsheng, XU Bin. Analysis on Causes of a Rainstorm Process Under Enhanced Low-altitude Jet Condition [J]. Journal of Arid Meteorology, 2020, 38(03): 411-422.