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MODIS卫星监测中国东部地区地面颗粒物的样本时间代表性分析
引用本文:李倩,李成才,杨东伟,石光明,高玲,李莹,毛节泰. MODIS卫星监测中国东部地区地面颗粒物的样本时间代表性分析[J]. 北京大学学报(自然科学版), 2013, 49(4): 662
作者姓名:李倩  李成才  杨东伟  石光明  高玲  李莹  毛节泰
作者单位:1. 北京大学物理学院大气与海洋科学系, 北京 100871; 2. 国家卫星气象中心, 北京 100081; 3. 香港科技大学环境研究所, 香港;
基金项目:中国科学院战略性先导科技专项,国家公益性行业(气象)科研专项,863计划,国家自然科学基金
摘    要:选取2011年中国东部地区428个测站的PM10质量浓度资料, 用Terra和Aqua MODIS AOD产品的时间分布作为指示数据, 检验日、月、季、年时间尺度下, 卫星过境时刻地面PM数据(SATPM)对地面所有时刻数据平均值(ALLPM)的代表性。结果发现, 在东部大部分地区, SATPM与ALLPM的相对误差在±20%以 内, 且Aqua-MODIS代表性更好。此外, 结合两颗卫星的数据, 经拟合订正获得了新的日、年时间尺度上PM10质量浓度数据, 将其与ALLPM的相关系数从0.87和0.83提高到0.90。此检验结果对于检验卫星数据反演 的PM2.5的代表性也有一定指导意义。

关 键 词:MODIS  PM10  气溶胶  代表性  
收稿时间:2012-03-31

An Evaluation of the Temporal Representative of MODIS Application for Particulate Matter Assessment over Eastern China
LI Qian,LI Chengcai,YANG Dongwei,SHI Guangming,GAO Ling,LI Ying,MAO Jietai. An Evaluation of the Temporal Representative of MODIS Application for Particulate Matter Assessment over Eastern China[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2013, 49(4): 662
Authors:LI Qian  LI Chengcai  YANG Dongwei  SHI Guangming  GAO Ling  LI Ying  MAO Jietai
Affiliation:1. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871; 2. National Satellite Meteorological Center, Beijing 100081; 3. Institute for the Environment, Hong Kong University of Science and Technology, Hong Kong;
Abstract:The PM10 mass concentration from 428 ground sites in Eastern China in 2011 were used to investigate the temporal representative of satellites carrying MODIS for air quality monitoring. The daily, monthly, seasonal and yearly averaged ground measurements of PM10 mass concentration at the time when the satellite data is available (SATPM) were compared with the corresponding 24 hours averaged ground measurements (ALLPM). The data with the Aqua-MODIS time are more close to ALLPM than those with Terra-MODIS time, and most relative errors fall into the range of ±20%, indicating a high reliability of temporal representative on Aqua time. Data from both satellites were incorporated together through a linear fitting to get the validated daily and yearly SATPM. The results show a better correlation and own lower root mean square errors (RMSE) with ALLPM. Because PM2.5 is more correlated with optical observations, the results are also of significant implications for the reliability of PM2.5 retrieval from satellite.
Keywords:MODIS  PM10  aerosol  representative
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