Advanced Search
Article Contents

Tropospheric NO2 Columns over Northeastern North America: Comparison of CMAQ Model Simulations with GOME Satellite Measurements


doi: 10.1007/s00376-008-0059-8

  • We present comparisons of the NO2 regional Chemical Transport Model (CTM) simulations over Northeastern North America during the time period from May to September, 1998 with hourly surface NO2 observations and the NO2 columns retrieved from the GOME (Global Ozone Monitoring Experiment) satellite instrument. The model calculations were performed using the Mesoscale Meteorological Model 5 (MM5), Sparse Matrix Operator Kernal Emissions (SMOKE), and Community Multiscale Air Quality (CMAQ) modeling systems, using the emission data from the National Emissions Inventory (NEI) databases of 1996 (U.S.) and 1995 (Canada). The major objectives were to assess the performance of the CMAQ model and the accuracy of the emissions inventories as they affected the simulations of this important short-lived atmospheric species. The modeled (NCMAQ) and measured (NGOME) NO2 column amounts, as well as their temporal variations, agreed reasonably well. The absolute differences (NCMAQ--NGOME) across the domain were between ±3.0×1015 molecules cm-2, but they were less than ±1.0×1015 molecules cm-2 over the majority (80%) of the domain studied. The overall correlation coefficient between the measurements and the simulations was 0.75. The differences were mainly ascribed to a combination of inaccurate emission data for the CTM and the uncertainties in the GOME retrievals. Of these, the former were the more easily identifiable.
  • [1] Jianguo Niu, Hiroaki Kuze, Nobuo Takeuchi, 2000: Studying Air Pollution with Kitt Peak Solar Flux Atlas-Analysis Method and Results of Observation, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 363-374.  doi: 10.1007/s00376-000-0029-2
    [2] Yanyu KANG, Guiqian TANG, Qihua LI, Baoxian LIU, Jianfeng CAO, Qihou HU, Yuesi WANG, 2021: Evaluation and Evolution of MAX-DOAS-observed Vertical NO2 Profiles in Urban Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1188-1196.  doi: 10.1007/s00376-021-0370-1
    [3] D.B. Jadhav, A.L. Londhe, S. Bose, 1996: Observations of NO2 and O3 during Thunderstorm Activity Using Visible Spectroscopy, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 359-374.  doi: 10.1007/BF02656853
    [4] A. Longhetto, S. Ferrarese, C. Cassardo, C. Giraud, F. Apadttla, P. Bacci, P. Bonelli, A. Marzorati, 1997: Relationships between Atmospheric Circulation Patterns and CO2 Greenhouse-Gas Concentration Levels in the Alpine Troposphere, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 309-322.  doi: 10.1007/s00376-997-0052-7
    [5] P.C.S. Devara, P. Ernest Raj, 1992: Atmospheric NO2 Concentration Measurements Using Differential Absorption Lidar Technique, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 73-82.  doi: 10.1007/BF02656932
    [6] Wang Pengyun, He Shaoqin, 1989: CCN Concentration in Troposphere over China, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 424-434.  doi: 10.1007/BF02659077
    [7] Wang Gengchen, Kong Qinxin, 1987: A STUDY ON NO AND NO2 ABSORPTION PROPERTIES BY USING LINE-TUNABLE CO LASER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 218-224.  doi: 10.1007/BF02677068
    [8] Dongxu YANG, Janne HAKKARAINEN, Yi LIU, Iolanda IALONGO, Zhaonan CAI, Johanna TAMMINEN, 2023: Detection of Anthropogenic CO2 Emission Signatures with TanSat CO2 and with Copernicus Sentinel-5 Precursor (S5P) NO2 Measurements: First Results, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1-5.  doi: 10.1007/s00376-022-2237-5
    [9] Zheng Yi, 2000: Study on Horizontal Relative Diffusion in the Troposphere and Lower Stratosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 93-102.  doi: 10.1007/s00376-000-0046-1
    [10] Minqiang ZHOU, Qichen NI, Zhaonan CAI, Bavo LANGEROCK, Jingyi JIANG, Ke CHE, Jiaxin WANG, Weidong NAN, Yi LIU, Pucai WANG, 2023: Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 223-234.  doi: 10.1007/s00376-022-2116-0
    [11] WANG Huijun, 2005: The Circum-Pacific Teleconnection Pattern in Meridional Wind in the High Troposphere, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 463-466.  doi: 10.1007/BF02918759
    [12] Xuelong CHEN, Yajing LIU, Yaoming MA, Weiqiang MA, Xiangde XU, Xinghong CHENG, Luhan LI, Xin XU, Binbin WANG, 2024: TP-PROFILE: Monitoring the Thermodynamic Structure of the Troposphere over the Third Pole, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3199-y
    [13] Min Dong, Qin Xu, 1996: A Sensitivity Study of Single Column Model, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 313-324.  doi: 10.1007/BF02656849
    [14] CHEN Bin, XU Xiang-De, YANG Shuai, ZHANG Wei, 2012: On the Temporal and Spatial Structure of Troposphere-to- Stratosphere Transport in the Lowermost Stratosphere over the Asian Monsoon Region during Boreal Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1305-1317.  doi: 10.1007/s00376-012-1171-3
    [15] Hyo-Eun JI, Soon-Hwan LEE, Hwa-Woon LEE, 2013: Characteristics of Sea Breeze Front Development with Various Synoptic Conditions and Its Impact on Lower Troposphere Ozone Formation, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1461-1478.  doi: 10.1007/s00376-013-2256-3
    [16] Yushan SONG, Daren LÜ, Qian LI, Jianchun BIAN, Xue WU, Dan LI, 2016: The Impact of Cut-off Lows on Ozone in the Upper Troposphere and Lower Stratosphere over Changchun from Ozonesonde Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 135-150.  doi: 10.1007/s00376-015-5054-2
    [17] LI Xiaofeng, LI Jianping, Xiangdong ZHANG, 2013: A Two-way Stratosphere-Troposphere Coupling of Submonthly Zonal-Mean Circulations in the Arctic, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1771-1785.  doi: 10.1007/s00376-013-2210-4
    [18] BI Yanmeng, MAO Jietai, LI Chengcai, 2006: Preliminary Results of 4-D Water Vapor Tomography in the Troposphere Using GPS, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 551-560.  doi: 10.1007/s00376-006-0551-y
    [19] Lu Longhua, Chen Xianji, Zhu Fukang, 1985: THE INTERANNUAL VARIATION OF MEDIUM-RANGE OSCILLATION CHARACTERISTICS IN THE UPPER TROPOSPHERE OVER THE SUBTROPICAL REGION, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 54-62.  doi: 10.1007/BF03179737
    [20] P. Ernest Raj, P.C.S. Devara, 1997: Seasonal Variations in the Vertical Structure of Water Vapor Optical Depth in the Lower Troposphere over a Tropical Station, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 103-110.  doi: 10.1007/s00376-997-0062-5

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 January 2008
Manuscript revised: 10 January 2008
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Tropospheric NO2 Columns over Northeastern North America: Comparison of CMAQ Model Simulations with GOME Satellite Measurements

  • 1. Anhui Institute of Meteorological Sciences, Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei 230031;Department of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018

Abstract: We present comparisons of the NO2 regional Chemical Transport Model (CTM) simulations over Northeastern North America during the time period from May to September, 1998 with hourly surface NO2 observations and the NO2 columns retrieved from the GOME (Global Ozone Monitoring Experiment) satellite instrument. The model calculations were performed using the Mesoscale Meteorological Model 5 (MM5), Sparse Matrix Operator Kernal Emissions (SMOKE), and Community Multiscale Air Quality (CMAQ) modeling systems, using the emission data from the National Emissions Inventory (NEI) databases of 1996 (U.S.) and 1995 (Canada). The major objectives were to assess the performance of the CMAQ model and the accuracy of the emissions inventories as they affected the simulations of this important short-lived atmospheric species. The modeled (NCMAQ) and measured (NGOME) NO2 column amounts, as well as their temporal variations, agreed reasonably well. The absolute differences (NCMAQ--NGOME) across the domain were between ±3.0×1015 molecules cm-2, but they were less than ±1.0×1015 molecules cm-2 over the majority (80%) of the domain studied. The overall correlation coefficient between the measurements and the simulations was 0.75. The differences were mainly ascribed to a combination of inaccurate emission data for the CTM and the uncertainties in the GOME retrievals. Of these, the former were the more easily identifiable.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return