1
|
Xue J, Zhao T, Luo Y, Miao C, Su P, Liu F, Zhang G, Qin S, Song Y, Bu N, Xing C. Identification of ozone sensitivity for NO 2 and secondary HCHO based on MAX-DOAS measurements in northeast China. ENVIRONMENT INTERNATIONAL 2022; 160:107048. [PMID: 34959197 DOI: 10.1016/j.envint.2021.107048] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 12/11/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
In this study, tropospheric formaldehyde (HCHO) vertical column densities (VCDs) were measured using multi-axis differential optical absorption spectroscopy (MAX-DOAS) from January to November 2019 in Shenyang, Northeast China. The maximum HCHO VCD value appeared in the summer (1.74 × 1016 molec/cm2), due to increased photo-oxidation of volatile organic compounds (VOCs). HCHO concentrations increased from 08:00 and peaked near 13:00, which was mainly attributed to the increased release of isoprene from plants and enhanced photolysis at noon. The HCHO VCDs observed by MAX-DOAS and OMI have a good correlation coefficient (R) of 0.78, and the contributions from primary and secondary HCHO sources were distinguished by the multi-linear regression model. The anthropogenic emissions showed unobvious seasonal variations, and the primary HCHO was relatively stable in Shenyang. Secondary HCHO contributed 82.62%, 83.90%, 78.90%, and 41.53% to the total measured ambient HCHO during the winter, spring, summer, and autumn, respectively. We also found a good correlation (R = 0.78) between enhanced vegetation index (EVI) and HCHO VCDs, indicating that the oxidation of biogenic volatile organic compounds (BVOCs) was the main source of HCHO. The ratio of secondary HCHO to nitrogen dioxide (NO2) was used as the tracer to analyze O3-NOx-VOC sensitivities. We found that the VOC-limited, VOC-NOx-limited, and NOx-limited regimes made up 93.67%, 6.23%, 0.11% of the overall measurements, respectively. In addition, summertime ozone (O3) sensitivity changed from VOC-limited in the morning to VOC-NOx-limited in the afternoon. Therefore, this study offers information on HCHO sources and corresponding O3 production sensitivities to support strategic management decisions.
Collapse
Affiliation(s)
- Jiexiao Xue
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Ting Zhao
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Yifu Luo
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Congke Miao
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Pinjie Su
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Feng Liu
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Guohui Zhang
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Sida Qin
- Liaoning Science and Technology Center for Ecological and Environmental Protection, Shenyang 110161, China
| | - Youtao Song
- School of Environmental Science, Liaoning University, Shenyang 110036, China
| | - Naishun Bu
- School of Environmental Science, Liaoning University, Shenyang 110036, China; Key Laboratory of Wetland Ecology and Environment Research in Cold Regions of Heilongjiang Province, Harbin University, 150086, China.
| | - Chengzhi Xing
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
| |
Collapse
|
2
|
Spatiotemporal changes in global nitrogen dioxide emission due to COVID-19 mitigation policies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 776:146027. [PMCID: PMC8562887 DOI: 10.1016/j.scitotenv.2021.146027] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 02/08/2021] [Accepted: 02/18/2021] [Indexed: 05/28/2023]
Abstract
This paper investigates spatiotemporal changes of nitrogen dioxide (NO2) tropospheric vertical column density due to the COVID-19 pandemic using satellite observations before, during and after the lockdown (hereafter referred as the pre-, peri- and post-periods) in six different countries: China, South Africa, Brazil, India, the UK and the US, and compare these periods with 2019 as well as mean climatology from 2010 to 2019. We observe significant declines in relative differences (RDs) from the pre- to peri-period (as compared with the 10-year climatology) in most study countries including China, South Africa, India, and the UK by 15, 17, 8 and 7% respectively. The US does not demonstrate significant decline with RD difference relatively small at just 2%. Meanwhile, although the 2020 RD of Brazil is 7% lower than 2010–2019, this trend is quite similar to that of 2019 (20% vs 23%). In the post-period of 2020, the NO2 columns rebound in most target countries: China, US, South Africa, Brazil and UK, with similar RDs relative to the corresponding pre-period as compared with 2019 and 2010–2019. In contrast, NO in India continues to be influenced by the ongoing COVID-19 crisis with pre-to-post RD 8% lower than the average of previous 10 years.
Collapse
|
3
|
Measuring the Vertical Profiles of Aerosol Extinction in the Lower Troposphere by MAX-DOAS at a Rural Site in the North China Plain. ATMOSPHERE 2020. [DOI: 10.3390/atmos11101037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements were performed during the summer (13 June–20 August) of 2014 at a rural site in North China Plain. The vertical profiles of aerosol extinction (AE) in the lower troposphere were retrieved to analyze the temporal variations of AE profiles, near-surface AE, and aerosol optical depth (AOD). The average AOD and near-surface AE over the period of study were 0.51 ± 0.26 and 0.33 ± 0.18 km−1 during the effective observation period, respectively. High AE events and elevated AE layers were identified based on the time series of hourly AE profiles, near-surface AEs and AODs. It is found that in addition to the planetary boundary layer height (PBLH) and relative humidity (RH), the variations in the wind field have large impacts on the near-surface AE, AOD, and AE profile. Among 16 wind sectors, higher AOD or AE occur mostly in the directions of the cities upstream. The diurnal variations of the AE profiles, AODs and near-surface AEs are significant and influenced mainly by the source emissions, PBLH, and RH. The AE profile shape from MAX-DOAS measurement is generally in agreement with that from light detection and ranging (lidar) observations, although the AE absolute levels are different. Overall, ground-based MAX-DOAS can serve as a supplement to measure the AE vertical profiles in the lower troposphere.
Collapse
|
4
|
Cheng S, Ma J, Cheng W, Yan P, Zhou H, Zhou L, Yang P. Tropospheric NO 2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China. J Environ Sci (China) 2019; 80:186-196. [PMID: 30952336 DOI: 10.1016/j.jes.2018.12.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/18/2018] [Accepted: 12/19/2018] [Indexed: 05/08/2023]
Abstract
Ground-basedMulti-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) measurements were performed at Shangdianzi (SDZ) regional atmospheric background station in northern China from March 2009 to February 2011. The tropospheric NO2 vertical column densities (VCDs) were retrieved to investigate the background condition of the Beijing-Tianjin-Hebei developed economic circle in China. The seasonal variation of mean NO2 tropospheric VCDs (VCDTrop) at SDZ is apparent, with the maximum (1.3 × 1016 molec/cm2) in February and the minimum (3.5 × 1015 molec/cm2) in August, much lower than those observed at the Beijing city center. The average daytime diurnal variations of NO2 VCDTrop are rather consistent for all four seasons, presenting the minimum at noon and the higher values in the morning and evening. The largest and lowest amplitudes of NO2 VCDTrop diurnal variation appear in winter and in summer, respectively. The diurnal pattern at SDZ station is similar to those at other less polluted stations, but distinct from the ones at the urban or polluted stations. Tropospheric NO2 VCDs at SDZ are strongly dependent on the wind, with the higher values being associated with the pollution plumes from Beijing city. Tropospheric NO2 VCDs derived from ground-based MAX-DOAS at SDZ show to be well correlated with corresponding OMI (Ozone Monitoring Instrument) satellite products with a correlation coefficient R = 0.88. However, the OMI observations are on average higher than MAX-DOAS NO2 VCDs by a factor of 28%, probably due to the OMI grid cell partly covering the south of SDZ which is influenced more by the pollution plumes from the urban areas.
Collapse
Affiliation(s)
- Siyang Cheng
- State Key Laboratory of Severe Weather & CMA Key Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Jianzhong Ma
- State Key Laboratory of Severe Weather & CMA Key Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
| | - Weiping Cheng
- China Waterborne Transport Research Institute, Beijing 100088, China
| | - Peng Yan
- CMA Meteorological Observation Centre, Beijing 100081, China
| | - Huaigang Zhou
- Shangdianzi Regional Air Background Station, Beijing, Meteorological Bureau, Beijing 101507, China
| | - Liyan Zhou
- Shangdianzi Regional Air Background Station, Beijing, Meteorological Bureau, Beijing 101507, China
| | - Peng Yang
- Meteorological Bureau of Shijiazhuang, Shijiazhuang 050081, China
| |
Collapse
|
5
|
Khokhar MF, Nisar M, Noreen A, Khan WR, Hakeem KR. Investigating the nitrogen dioxide concentrations in the boundary layer by using multi-axis spectroscopic measurements and comparison with satellite observations. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:2827-2839. [PMID: 27838904 DOI: 10.1007/s11356-016-7907-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 10/12/2016] [Indexed: 05/26/2023]
Abstract
This study emphasizes on near surface observation of chemically active trace gases such as nitrogen dioxide (NO2) over Islamabad on a regular basis. Absorption spectroscopy using backscattered extraterrestrial light source technique was used to retrieve NO2 differential slant column densities (dSCDs). Mini multi-axis-differential optical absorption spectroscopy (MAX-DOAS) instrument was used to perform ground-based measurements at Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology (NUST) Islamabad, Pakistan. Tropospheric vertical column densities (VCDs) of NO2 were derived from measured dSCDs by using geometric air mass factor approach. A case study was conducted to identify the impact of different materials (glass, tinted glass, and acrylic sheet of various thicknesses used to cover the instrument) on the retrieval of dSCDs. Acrylic sheet of thickness 5 mm was found most viable option for casing material as it exhibited negligible impact in the visible wavelength range. Tropospheric NO2 VCD derived from ground-based mini MAX-DOAS measurements exceeded two times the Pak-NEQS levels and showed a reasonable comparison (r 2 = 0.65, r = 0.81) with satellite observations (root mean square bias of 39 %) over Islamabad, Pakistan.
Collapse
Affiliation(s)
- Muhammad Fahim Khokhar
- Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology (NUST), Sector H-12, 444000, Islamabad, Pakistan.
| | - Munazza Nisar
- Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology (NUST), Sector H-12, 444000, Islamabad, Pakistan
| | - Asma Noreen
- Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology (NUST), Sector H-12, 444000, Islamabad, Pakistan
| | - Waseem Razzaq Khan
- Faculty of Forestry, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia
| | - Khalid Rehman Hakeem
- Faculty of Forestry, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia.
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
| |
Collapse
|
6
|
Berkhout A, van der Hoff G, Gast L. Lidar Measurements of Industrial Benzene Emissions. EPJ WEB OF CONFERENCES 2016. [DOI: 10.1051/epjconf/201611926005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
7
|
Chong J, Kim YJ, Gu M, Wagner T, Song CH. Mobile MAX-DOAS observation of NO2 and comparison with OMI satellite data in the western coastal areas of the Korean peninsula. CHEMOSPHERE 2016; 143:10-16. [PMID: 26239513 DOI: 10.1016/j.chemosphere.2015.06.071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 06/04/2015] [Accepted: 06/24/2015] [Indexed: 06/04/2023]
Abstract
Ground-based MAX-DOAS measurements have been used to retrieve column densities of atmospheric absorbers such as NO2, SO2, HCHO, and O3. In this study, mobile MAX-DOAS measurements were conducted to map the 2-D distributions of atmospheric NO2 in the western coastal areas of the Korean peninsula. A Mini-MAX-DOAS instrument was mounted on the rooftop of a mobile lab vehicle with a telescope mounted parallel to the driving direction, pointing forward. The measurements were conducted from 21 to 24 December 2010 along the western coastal areas from Gomso harbor (35.59N, 126.61E) to Gunsan harbor (35.98N, 126.67E). During mobile MAX-DOAS observations, high elevation angles were used to avoid shades from nearby obstacles. For the determination of the tropospheric vertical column density (VCD), the air mass factor (AMF) was retrieved by the so-called geometric approximation. The NO2 VCDs from 20 and 45 degree elevation angles were retrieved from mobile MAX-DOAS measurements. The tropospheric NO2 VCDs derived from mobile MAX-DOAS measurements were compared directly to those retrieved by the OMI satellite observations. Mobile MAX-DOAS VCD was in good agreement with OMI tropospheric VCD on most days. However, OMI tropospheric VCD was much higher than that of mobile MAX-DOAS on 23 December 2010. One probable reason for this difference is that OMI retrieval might overestimate NO2 VCD under haze conditions, when a pollution plume was transported over the measurement site. The mobile MAX-DOAS observations reveal much finer spatial patterns of NO2 distributions, which can provide useful information for the validation of satellite observation of atmospheric trace gases.
Collapse
Affiliation(s)
- Jihyo Chong
- School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 1 Oryong dong, Buk-gu, Gwangju 500-712, Republic of Korea
| | - Young J Kim
- School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 1 Oryong dong, Buk-gu, Gwangju 500-712, Republic of Korea
| | - Myojeong Gu
- Max-Planck-Institute for Chemistry, Mainz 55128, Germany
| | - Thomas Wagner
- Max-Planck-Institute for Chemistry, Mainz 55128, Germany
| | - Chul H Song
- School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 1 Oryong dong, Buk-gu, Gwangju 500-712, Republic of Korea.
| |
Collapse
|
8
|
Reed AJ, Thompson AM, Kollonige DE, Martins DK, Tzortziou MA, Herman JR, Berkoff TA, Abuhassan NK, Cede A. Effects of local meteorology and aerosols on ozone and nitrogen dioxide retrievals from OMI and pandora spectrometers in Maryland, USA during DISCOVER-AQ 2011. JOURNAL OF ATMOSPHERIC CHEMISTRY 2015; 72:455-482. [PMID: 26692598 PMCID: PMC4665808 DOI: 10.1007/s10874-013-9254-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2012] [Accepted: 03/19/2013] [Indexed: 05/22/2023]
Abstract
An analysis is presented for both ground- and satellite-based retrievals of total column ozone and nitrogen dioxide levels from the Washington, D.C., and Baltimore, Maryland, metropolitan area during the NASA-sponsored July 2011 campaign of Deriving Information on Surface COnditions from Column and VERtically Resolved Observations Relevant to Air Quality (DISCOVER-AQ). Satellite retrievals of total column ozone and nitrogen dioxide from the Ozone Monitoring Instrument (OMI) on the Aura satellite are used, while Pandora spectrometers provide total column ozone and nitrogen dioxide amounts from the ground. We found that OMI and Pandora agree well (residuals within ±25 % for nitrogen dioxide, and ±4.5 % for ozone) for a majority of coincident observations during July 2011. Comparisons with surface nitrogen dioxide from a Teledyne API 200 EU NOx Analyzer showed nitrogen dioxide diurnal variability that was consistent with measurements by Pandora. However, the wide OMI field of view, clouds, and aerosols affected retrievals on certain days, resulting in differences between Pandora and OMI of up to ±65 % for total column nitrogen dioxide, and ±23 % for total column ozone. As expected, significant cloud cover (cloud fraction >0.2) was the most important parameter affecting comparisons of ozone retrievals; however, small, passing cumulus clouds that do not coincide with a high (>0.2) cloud fraction, or low aerosol layers which cause significant backscatter near the ground affected the comparisons of total column nitrogen dioxide retrievals. Our results will impact post-processing satellite retrieval algorithms and quality control procedures.
Collapse
Affiliation(s)
- Andra J. Reed
- Department of Meteorology, The Pennsylvania State University, University Park, PA USA
| | - Anne M. Thompson
- Department of Meteorology, The Pennsylvania State University, University Park, PA USA
| | - Debra E. Kollonige
- Department of Meteorology, The Pennsylvania State University, University Park, PA USA
| | - Douglas K. Martins
- Department of Meteorology, The Pennsylvania State University, University Park, PA USA
| | - Maria A. Tzortziou
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD USA
- NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Jay R. Herman
- NASA Goddard Space Flight Center, Greenbelt, MD USA
- Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD USA
| | - Timothy A. Berkoff
- Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, MD USA
| | - Nader K. Abuhassan
- NASA Goddard Space Flight Center, Greenbelt, MD USA
- LuftBlick, Kreith, Austria
| | - Alexander Cede
- NASA Goddard Space Flight Center, Greenbelt, MD USA
- School of Engineering, Morgan State University, Baltimore, MD USA
| |
Collapse
|
9
|
Wang B, Chen Z. An intercomparison of satellite-derived ground-level NO₂ concentrations with GMSMB modeling results and in-situ measurements--a North American study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2013; 181:172-181. [PMID: 23867698 DOI: 10.1016/j.envpol.2013.06.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Revised: 06/19/2013] [Accepted: 06/20/2013] [Indexed: 06/02/2023]
Abstract
This paper investigates the biases associated with the ground-level nitrogen dioxide (NO2) concentrations derived from the satellite Ozone Monitoring Instrument (OMI) NO2 data through comparisons with the modeling and the monitoring results for the state of California in 2008. The seasonal and annual average ground-level NO2 concentrations are both analyzed from the OMI using the local NO2 profile obtained from the GEOS-Chem simulation. The OMI-derived ground-level NO2 concentrations are then compared with the NO2 concentrations predicted by a GIS-Based Multi-Source and Multi-Box model (GMSMB) and the in-situ measurements, correlation coefficients among the three sets of results are all above 0.84 with an average slope of 0.81 ± 0.04. Particularly, various biases associated with the three data sets have been analyzed, and the OMI-derived NO2 concentrations and the GMSMB modeling results have been proven to be essential for assessing regional air pollutant exposure risks with the aid of the extensive remote sensing database.
Collapse
Affiliation(s)
- Baozhen Wang
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada
| | | |
Collapse
|
10
|
Yao Z, Li J, Han HJ, Huang A, Sohn BJ, Zhang P. Asian dust height and infrared optical depth retrievals over land from hyperspectral longwave infrared radiances. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017799] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
11
|
Yang Q, Wang Y, Zhao C, Liu Z, Gustafson WI, Shao M. NOx emission reduction and its effects on ozone during the 2008 Olympic Games. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2011; 45:6404-6410. [PMID: 21688812 DOI: 10.1021/es200675v] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
We applied a daily assimilated inversion method to estimate NO(x) (NO + NO(2)) emissions for June-September 2007 and 2008 on the basis of the Aura Ozone Monitoring Instrument (OMI) observations of nitrogen dioxide (NO(2)) and model simulations using the Regional chEmistry and trAnsport Model (REAM). This method allows for estimating emission changes with a finer temporal resolution than previous studies and shows that the progression of the emission reduction corresponds roughly to the scheduled implementation of emission controls over Beijing. OMI column NO(2) reductions are approximately 45%, 33%, and 14% over urban Beijing, rural Beijing, and the Huabei Plain, respectively, while the corresponding anthropogenic NO(x) emission reductions are only 28%, 24%, and 6%, during the full emission control period (July 20-Sep 20, 2008). Meteorological changes from summer 2007 to 2008 are the main factor contributing to the column NO(2) decreases not accounted for by the emission reduction. The surface ozone changes due to NO(x) emission reduction are negligible using a standard VOC emission inventory. When using enhanced VOC (particularly aromatics) emissions derived from in situ observations, urban Beijing shifted O(3) production from the VOC-limited regime toward the NO(x)-limited regime resulting in a more substantial ozone decrease (up to 10 ppbv).
Collapse
Affiliation(s)
- Qing Yang
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States.
| | | | | | | | | | | |
Collapse
|
12
|
Lamsal LN, Martin RV, van Donkelaar A, Celarier EA, Bucsela EJ, Boersma KF, Dirksen R, Luo C, Wang Y. Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal variation of nitrogen oxides at northern midlatitudes. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd013351] [Citation(s) in RCA: 183] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
13
|
Hains JC, Boersma KF, Kroon M, Dirksen RJ, Cohen RC, Perring AE, Bucsela E, Volten H, Swart DPJ, Richter A, Wittrock F, Schoenhardt A, Wagner T, Ibrahim OW, van Roozendael M, Pinardi G, Gleason JF, Veefkind JP, Levelt P. Testing and improving OMI DOMINO tropospheric NO2using observations from the DANDELIONS and INTEX-B validation campaigns. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd012399] [Citation(s) in RCA: 89] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
14
|
Volten H, Brinksma EJ, Berkhout AJC, Hains J, Bergwerff JB, Van der Hoff GR, Apituley A, Dirksen RJ, Calabretta-Jongen S, Swart DPJ. NO2lidar profile measurements for satellite interpretation and validation. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2009jd012441] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|