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Zara M, van der A R, Ding J, Stavrakou T, Boersma F. OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:323. [PMID: 38421451 PMCID: PMC10904434 DOI: 10.1007/s10661-024-12421-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024]
Abstract
This study aims to generate a satellite-based qualitative emission source characterization for the heavily polluted eastern part of China in the 2010-2016 time period. The applied source identification technique relies on satellite-based NOx and SO2 emission estimates by OMI, their SO2:NOx ratio, and the MIX anthropogenic emission inventory to distinguish emissions from different emission categories (urban, industrial, natural) and characterize the dominant source per 0.25° × 0.25° grid cell in East China. Overall, we find good agreement between the satellite- and emission inventory-based spatiotemporal distribution and characterization of the dominant emission sources in East China in 2010-2016. In 2010, the satellite measurements suggest an emission distribution less dominated by industrial areas, a somewhat larger role for urban/transportation areas and agricultural activities, and more natural emissions in the southern part compared to the bottom-up emission categorization. In 2016, more than half of the classified emission categories over East China have remained the same. At the same time, there is a notable increase of agricultural lands and decrease of areas dominated by industry/transportation in 2016, suggestive of an overall decrease in heavy air pollution in East China over the course of 7 years. This is likely attributed to the sustained efforts of the Chinese government to drastically improve the air quality, especially since 2013 when the National Air Pollution Prevention and Control Action Plan was enacted. However, signs of urban expansion (urbanization) and rural-urban migration ("Go West" motion) stemmed from China's rapid economic growth and labour demand are evident; escalating industrialization (even with cleaner means) and the urban population growth in East China resulted in stronger emissions from sources representing consumption and transportation which are strongly related to NO2 and PM10 pollution (rather than SO2) and are directly influenced by the population size. This resulted to a shift of the emissions from the east mainly to the north and northwest of East China. Overall, although the effectiveness of the Chinese environmental control policies has been successful, the air pollution problem remains an important concern.
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Affiliation(s)
- Marina Zara
- Wageningen University and Research (WUR), Wageningen, Netherlands
- Now at Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
| | - Ronald van der A
- Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
| | - Jieying Ding
- Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
| | | | - Folkert Boersma
- Wageningen University and Research (WUR), Wageningen, Netherlands.
- Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands.
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2
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Zhu Y, Liu C, Hu Q, Teng J, You D, Zhang C, Ou J, Liu T, Lin J, Xu T, Hong X. Impacts of TROPOMI-Derived NO X Emissions on NO 2 and O 3 Simulations in the NCP during COVID-19. ACS ENVIRONMENTAL AU 2022; 2:441-454. [PMID: 37101457 PMCID: PMC10125370 DOI: 10.1021/acsenvironau.2c00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
NO2 and O3 simulations have great uncertainties during the COVID-19 epidemic, but their biases and spatial distributions can be improved with NO2 assimilations. This study adopted two top-down NO X inversions and estimated their impacts on NO2 and O3 simulation for three periods: the normal operation period (P1), the epidemic lockdown period following the Spring Festival (P2), and back to work period (P3) in the North China Plain (NCP). Two TROPOspheric Monitoring Instrument (TROPOMI) NO2 retrievals came from the Royal Netherlands Meteorological Institute (KNMI) and the University of Science and Technology of China (USTC), respectively. Compared to the prior NO X emissions, the two TROPOMI posteriors greatly reduced the biases between simulations with in situ measurements (NO2 MREs: prior 85%, KNMI -27%, USTC -15%; O3 MREs: Prior -39%, KNMI 18%, USTC 11%). The NO X budgets from the USTC posterior were 17-31% higher than those from the KNMI one. Consequently, surface NO2 levels constrained by USTC-TROPOMI were 9-20% higher than those by the KNMI one, and O3 is 6-12% lower. Moreover, USTC posterior simulations showed more significant changes in adjacent periods (surface NO2: P2 vs P1, -46%, P3 vs P2, +25%; surface O3: P2 vs P1, +75%, P3 vs P2, +18%) than the KNMI one. For the transport flux in Beijing (BJ), the O3 flux differed by 5-6% between the two posteriori simulations, but the difference of NO2 flux between P2 and P3 was significant, where the USTC posterior NO2 flux was 1.5-2 times higher than the KNMI one. Overall, our results highlight the discrepancies in NO2 and O3 simulations constrained by two TROPOMI products and demonstrate that the USTC posterior has lower bias in the NCP during COVD-19.
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Affiliation(s)
- Yizhi Zhu
- Key
Lab of Environmental Optics & Technology, Anhui Institute of Optics
and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Cheng Liu
- Key
Lab of Environmental Optics & Technology, Anhui Institute of Optics
and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
- Center
for Excellence in Regional Atmospheric Environment, Institute of Urban
Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Department
of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
- Key
Laboratory of Precision Scientific Instrumentation of Anhui Higher
Education Institutes, University of Science
and Technology of China, Hefei 230026, China
| | - Qihou Hu
- Key
Lab of Environmental Optics & Technology, Anhui Institute of Optics
and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Jiahua Teng
- China
Satellite Application Center for Ecology and Environment, MEE, Beijing 100094, China
| | - Daian You
- China
Satellite Application Center for Ecology and Environment, MEE, Beijing 100094, China
| | - Chengxin Zhang
- Department
of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
| | - Jinping Ou
- Key
Lab of Environmental Optics & Technology, Anhui Institute of Optics
and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Ting Liu
- School of
Earth and Space Sciences, University of
Science and Technology of China, Hefei 230026, China
| | - Jinan Lin
- Key
Lab of Environmental Optics & Technology, Anhui Institute of Optics
and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Tianyi Xu
- School
of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China
| | - Xinhua Hong
- School
of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China
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Ghahremanloo M, Lops Y, Choi Y, Mousavinezhad S. Impact of the COVID-19 outbreak on air pollution levels in East Asia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 754:142226. [PMID: 33254896 PMCID: PMC7476443 DOI: 10.1016/j.scitotenv.2020.142226] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/13/2020] [Accepted: 09/03/2020] [Indexed: 05/18/2023]
Abstract
This study leverages satellite remote sensing to investigate the impact of the coronavirus outbreak and the resulting lockdown of public venues on air pollution levels in East Asia. We analyze data from the Sentinel-5P and the Himawari-8 satellites to examine concentrations of NO2, HCHO, SO2, and CO, and the aerosol optical depth (AOD) over the BTH, Wuhan, Seoul, and Tokyo regions in February 2019 and February 2020. Results show that most of the concentrations of pollutants are lower than those of February 2019. Compared to other pollutants, NO2 experienced the most significant reductions by almost 54%, 83%, 33%, and 19% decrease in BTH, Wuhan, Seoul, and Tokyo, respectively. The greatest reductions in pollutants occurred in Wuhan, with a decrease of almost 83%, 11%, 71%, and 4% in the column densities of NO2, HCHO, SO2, and CO, respectively, and a decrease of about 62% in the AOD. Although NO2, CO, and formaldehyde concentrations decreased in the Seoul and Tokyo metropolitan areas compared to the previous year, concentrations of SO2 showed an increase in these two regions due to the effect of transport from polluted upwind regions. We also show that meteorological factors were not the main reason for the dramatic reductions of pollutants in the atmosphere. Moreover, an investigation of the HCHO/NO2 ratio shows that in many regions of East China, particularly in Wuhan, ozone production in February 2020 is less NOX saturated during the daytime than it was in February 2019. With large reductions in the concentrations of NO2 during lockdown situations, we find that significant increases in surface ozone in East China from February 2019 to February 2020 are likely the result of less reaction of NO and O3 caused by significantly reduced NOX concentrations and less NOX saturation in East China during the daytime.
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Affiliation(s)
- Masoud Ghahremanloo
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA.
| | - Yannic Lops
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA.
| | - Yunsoo Choi
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA.
| | - Seyedali Mousavinezhad
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77004, USA.
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An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia. REMOTE SENSING 2020. [DOI: 10.3390/rs12122004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study focuses on the estimation of top-down NOx emissions over East Asia, integrating information on the levels of NO2 and NO, wind vector, and geolocation from Ozone Monitoring Instrument (OMI) observations and Weather Research and Forecasting (WRF)-Community Multiscale Air Quality (CMAQ) model simulations. An algorithm was developed based on mass conservation to estimate the 30 km × 30 km resolved top-down NOx emissions over East Asia. In particular, the algorithm developed in this study considered two main atmospheric factors—(i) NOx transport from/to adjacent cells and (ii) calculations of the lifetimes of column NOx (τ). In the sensitivity test, the analysis showed the improvements in the top-down NOx estimation via filtering the data (τ ≤ 2 h). The best top-down NOx emissions were inferred after the sixth iterations. Those emissions were 11.76 Tg N yr−1 over China, 0.13 Tg N yr−1 over North Korea, 0.46 Tg N yr−1 over South Korea, and 0.68 Tg N yr−1 over Japan. These values are 34%, 62%, 60%, and 47% larger than the current bottom-up NOx emissions over these countries, respectively. A comparison between the CMAQ-estimated and OMI-retrieved NO2 columns was made to confirm the accuracy of the newly estimated NOx emission. The comparison confirmed that the estimated top-down NOx emissions showed better agreements with observations (R2 = 0.88 for January and 0.81 for July).
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5
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Beloconi A, Vounatsou P. Bayesian geostatistical modelling of high-resolution NO 2 exposure in Europe combining data from monitors, satellites and chemical transport models. ENVIRONMENT INTERNATIONAL 2020; 138:105578. [PMID: 32179313 PMCID: PMC7152800 DOI: 10.1016/j.envint.2020.105578] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 01/22/2020] [Accepted: 02/11/2020] [Indexed: 05/21/2023]
Abstract
Bayesian geostatistical regression (GR) models estimate air pollution exposure at high spatial resolution, quantify the prediction uncertainty and provide probabilistic inference on the exceedance of air quality thresholds. However, due to high computational burden, previous GR models have provided gridded ambient nitrogen dioxide (NO2) concentrations at smaller areas of investigation. Here, we applied these models to estimate yearly averaged NO2 concentrations at 1 km2 spatial resolution across 44 European countries, integrating information from in situ monitoring stations, satellites and chemical transport model (CTM) simulations. The tropospheric values of NO2 derived from the ozone monitoring instrument (OMI) onboard the National Aeronautics and Space Administration's (NASA's) Aura satellite were converted to near ground NO2 concentration proxies using simulations from the 3-D global CTM (GEOS-Chem) at 0.5° × 0.625°spatial resolution and surface-to-column NO2 ratios. Simulations from the Ensemble of regional CTMs at spatial resolution of 0.1° × 0.1°were extracted from the Copernicus atmosphere monitoring service (CAMS). The contribution of these covariates to the predictive capability of geostatistical models was for the first time evaluated here through a rigorous model selection procedure along with additional continental high-resolution satellite-derived products, including novel data from the pan-European Copernicus land monitoring service (CLMS). The results have shown that the conversion of columnar NO2 values to surface quasi-observations yielded models with slightly better predictive ability and lower uncertainty. Nonetheless, the use of higher resolution CAMS-Ensemble simulations as covariates in GR models granted the most accurate surface NO2 estimates, showing that, in 2016, 16.17 (95% C.I. 6.34-29.96) million people in Europe, representing 2.97% (95% C.I. 1.16% - 5.50%) of the total population, were exposed to levels above the EU directive and WHO air quality guidelines threshold for NO2. Our estimates are readily available to policy makers and scientists assessing the burden of disease attributable to NO2 in 2016.
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Affiliation(s)
- Anton Beloconi
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Switzerland
| | - Penelope Vounatsou
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Switzerland
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6
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Temporal Analysis of OMI-Observed Tropospheric NO2 Columns over East Asia during 2006–2015. ATMOSPHERE 2019. [DOI: 10.3390/atmos10110658] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The study analyzed temporal variations of Ozone Monitoring Instrument (OMI)-observed NO2 columns, interregional correlation, and comparison between NO2 columns and NOx emissions during the period from 2006 to 2015. Regarding the trend of the NO2 columns, the linear lines were classified into four groups: (1) ‘upward and downward’ over six defined geographic regions in central-east Asia; (2) ‘downward’ over Guangzhou, Japan, and Taiwan; (3) ‘stagnant’ over South Korea; and (4) ‘upward’ over North Korea, Mongolia, Qinghai, and Northwestern Pacific ocean. In particular, the levels of NO2 columns in 2015 returned to those in 2006 over most of the polluted regions in China. Quantitatively, their relative changes in 2015 compared to 2006 were approximately 10%. From the interregional correlation analysis, it was found that unlike positive relationships between the polluted areas, the different variations of monthly NO2 columns led to negative relationships in Mongolia and Qinghai. Regarding the comparison between NO2 columns and NOx emission, the NOx emissions from the Copernicus Atmosphere Monitoring Service (CAMS) and Clean Air Policy Support System (CAPSS) inventories did not follow the year-to-year variations of NO2 columns over the polluted regions. In addition, the weekly effect was only clearly shown in South Korea, Japan, and Taiwan, indicating that the amounts of NOx emissions are significantly contributed to by the transportation sector.
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7
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Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations. REMOTE SENSING 2017. [DOI: 10.3390/rs9060519] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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8
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Madronich S, Shao M, Wilson SR, Solomon KR, Longstreth JD, Tang XY. Changes in air quality and tropospheric composition due to depletion of stratospheric ozone and interactions with changing climate: implications for human and environmental health. Photochem Photobiol Sci 2015; 14:149-69. [DOI: 10.1039/c4pp90037e] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
UV radiation is an essential driver for the formation of photochemical smog, which includes ground-level ozone and particulate matter (PM).
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Affiliation(s)
- S. Madronich
- Atmospheric Chemistry Division
- National Center for Atmospheric Research
- Boulder
- USA
| | - M. Shao
- Peking University
- College of Environmental Science and Engineering
- Beijing 100871
- China
| | - S. R. Wilson
- School of Chemistry
- University of Wollongong
- NSW
- Australia
| | - K. R. Solomon
- Centre for Toxicology and School of Environmental Sciences
- University of Guelph
- ON
- Canada
| | | | - X. Y. Tang
- Peking University
- College of Environmental Science and Engineering
- Beijing 100871
- China
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9
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Lamsal LN, Martin RV, Parrish DD, Krotkov NA. Scaling relationship for NO2 pollution and urban population size: a satellite perspective. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2013; 47:7855-61. [PMID: 23763377 DOI: 10.1021/es400744g] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Concern is growing about the effects of urbanization on air pollution and health. Nitrogen dioxide (NO2) released primarily from combustion processes, such as traffic, is a short-lived atmospheric pollutant that serves as an air-quality indicator and is itself a health concern. We derive a global distribution of ground-level NO2 concentrations from tropospheric NO2 columns retrieved from the Ozone Monitoring Instrument (OMI). Local scaling factors from a three-dimensional chemistry-transport model (GEOS-Chem) are used to relate the OMI NO2 columns to ground-level concentrations. The OMI-derived surface NO2 data are significantly correlated (r = 0.69) with in situ surface measurements. We examine how the OMI-derived ground-level NO2 concentrations, OMI NO2 columns, and bottom-up NOx emission inventories relate to urban population. Emission hot spots, such as power plants, are excluded to focus on urban relationships. The correlation of surface NO2 with population is significant for the three countries and one continent examined here: United States (r = 0.71), Europe (r = 0.67), China (r = 0.69), and India (r = 0.59). Urban NO2 pollution, like other urban properties, is a power law scaling function of the population size: NO2 concentration increases proportional to population raised to an exponent. The value of the exponent varies by region from 0.36 for India to 0.66 for China, reflecting regional differences in industrial development and per capita emissions. It has been generally established that energy efficiency increases and, therefore, per capita NOx emissions decrease with urban population; here, we show how outdoor ambient NO2 concentrations depend upon urban population in different global regions.
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Affiliation(s)
- L N Lamsal
- Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, Maryland 21044-3432, USA.
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Murray LT, Jacob DJ, Logan JA, Hudman RC, Koshak WJ. Optimized regional and interannual variability of lightning in a global chemical transport model constrained by LIS/OTD satellite data. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017934] [Citation(s) in RCA: 245] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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11
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Yuan T, Remer LA, Bian H, Ziemke JR, Albrecht R, Pickering KE, Oreopoulos L, Goodman SJ, Yu H, Allen DJ. Aerosol indirect effect on tropospheric ozone via lightning. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017723] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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12
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Mijling B, van der A RJ. Using daily satellite observations to estimate emissions of short-lived air pollutants on a mesoscopic scale. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017817] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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13
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Pawar V, Pawar SD, Beig G, Sahu SK. Effect of lightning activity on surface NOxand O3over a tropical station during premonsoon and monsoon seasons. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2011jd016930] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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14
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Allen D, Pickering K, Duncan B, Damon M. Impact of lightning NO emissions on North American photochemistry as determined using the Global Modeling Initiative (GMI) model. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2010jd014062] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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15
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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]
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16
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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]
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18
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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]
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19
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Liu H, Crawford JH, Considine DB, Platnick S, Norris PM, Duncan BN, Pierce RB, Chen G, Yantosca RM. Sensitivity of photolysis frequencies and key tropospheric oxidants in a global model to cloud vertical distributions and optical properties. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd011503] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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20
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Hudman RC, Murray LT, Jacob DJ, Turquety S, Wu S, Millet DB, Avery M, Goldstein AH, Holloway J. North American influence on tropospheric ozone and the effects of recent emission reductions: Constraints from ICARTT observations. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010126] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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21
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Kaynak B, Hu Y, Martin RV, Sioris CE, Russell AG. Comparison of weekly cycle of NO2satellite retrievals and NOxemission inventories for the continental United States. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010714] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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22
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Cooper OR, Eckhardt S, Crawford JH, Brown CC, Cohen RC, Bertram TH, Wooldridge P, Perring A, Brune WH, Ren X, Brunner D, Baughcum SL. Summertime buildup and decay of lightning NOx
and aged thunderstorm outflow above North America. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010293] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- O. R. Cooper
- Cooperative Institute for Research in Environmental Sciences; University of Colorado; Boulder Colorado USA
- Chemical Sciences Division, Earth System Research Laboratory; NOAA; Boulder Colorado USA
| | - S. Eckhardt
- Department of Regional and Global Pollution Issues; Norwegian Institute for Air Research; Kjeller Norway
| | | | - C. C. Brown
- Science System and Applications, Inc.; Hampton Virginia USA
| | - R. C. Cohen
- Department of Chemistry and Department of Earth and Planetary Science; University of California; Berkeley California USA
| | - T. H. Bertram
- Department of Chemistry and Department of Earth and Planetary Science; University of California; Berkeley California USA
| | - P. Wooldridge
- Department of Chemistry and Department of Earth and Planetary Science; University of California; Berkeley California USA
| | - A. Perring
- Department of Chemistry and Department of Earth and Planetary Science; University of California; Berkeley California USA
| | - W. H. Brune
- Department of Meteorology; Pennsylvania State University; University Park Pennsylvania USA
| | - X. Ren
- Department of Meteorology; Pennsylvania State University; University Park Pennsylvania USA
| | - D. Brunner
- Laboratory for Air Pollution/Environmental Technology, Materials Science and Technology; EMPA; Dübendorf Switzerland
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Palmer PI. Quantifying sources and sinks of trace gases using space-borne measurements: current and future science. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2008; 366:4509-4528. [PMID: 18852092 DOI: 10.1098/rsta.2008.0176] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
We have been observing the Earth's upper atmosphere from space for several decades, but only over the past decade has the necessary technology begun to match our desire to observe surface air pollutants and climate-relevant trace gases in the lower troposphere, where we live and breathe. A new generation of Earth-observing satellites, capable of probing the lower troposphere, are already orbiting hundreds of kilometres above the Earth's surface with several more ready for launch or in the planning stages. Consequently, this is one of the most exciting times for the Earth system scientists who study the countless current-day physical, chemical and biological interactions between the Earth's land, ocean and atmosphere. First, I briefly review the theory behind measuring the atmosphere from space, and how these data can be used to infer surface sources and sinks of trace gases. I then present some of the science highlights associated with these data and how they can be used to improve fundamental understanding of the Earth's climate system. I conclude the paper by discussing the future role of satellite measurements of tropospheric trace gases in mitigating surface air pollution and carbon trading.
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Affiliation(s)
- Paul I Palmer
- School of GeoSciences, University of Edinburgh, Edinburgh EH9 3JW, UK.
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24
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Lamsal LN, Martin RV, van Donkelaar A, Steinbacher M, Celarier EA, Bucsela E, Dunlea EJ, Pinto JP. Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009235] [Citation(s) in RCA: 247] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Bucsela EJ, Perring AE, Cohen RC, Boersma KF, Celarier EA, Gleason JF, Wenig MO, Bertram TH, Wooldridge PJ, Dirksen R, Veefkind JP. Comparison of tropospheric NO2from in situ aircraft measurements with near-real-time and standard product data from OMI. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd008838] [Citation(s) in RCA: 109] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Boersma KF, Jacob DJ, Eskes HJ, Pinder RW, Wang J, van der A RJ. Intercomparison of SCIAMACHY and OMI tropospheric NO2columns: Observing the diurnal evolution of chemistry and emissions from space. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd008816] [Citation(s) in RCA: 143] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Celarier EA, Brinksma EJ, Gleason JF, Veefkind JP, Cede A, Herman JR, Ionov D, Goutail F, Pommereau JP, Lambert JC, van Roozendael M, Pinardi G, Wittrock F, Schönhardt A, Richter A, Ibrahim OW, Wagner T, Bojkov B, Mount G, Spinei E, Chen CM, Pongetti TJ, Sander SP, Bucsela EJ, Wenig MO, Swart DPJ, Volten H, Kroon M, Levelt PF. Validation of Ozone Monitoring Instrument nitrogen dioxide columns. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd008908] [Citation(s) in RCA: 164] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Zhang Q, Streets DG, He K, Wang Y, Richter A, Burrows JP, Uno I, Jang CJ, Chen D, Yao Z, Lei Y. NOxemission trends for China, 1995–2004: The view from the ground and the view from space. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2007jd008684] [Citation(s) in RCA: 374] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Pierce RB, Schaack T, Al-Saadi JA, Fairlie TD, Kittaka C, Lingenfelser G, Natarajan M, Olson J, Soja A, Zapotocny T, Lenzen A, Stobie J, Johnson D, Avery MA, Sachse GW, Thompson A, Cohen R, Dibb JE, Crawford J, Rault D, Martin R, Szykman J, Fishman J. Chemical data assimilation estimates of continental U.S. ozone and nitrogen budgets during the Intercontinental Chemical Transport Experiment–North America. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007722] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Steinbacher M, Zellweger C, Schwarzenbach B, Bugmann S, Buchmann B, Ordóñez C, Prevot ASH, Hueglin C. Nitrogen oxide measurements at rural sites in Switzerland: Bias of conventional measurement techniques. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007971] [Citation(s) in RCA: 195] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Thompson AM, Stone JB, Witte JC, Miller SK, Pierce RB, Chatfield RB, Oltmans SJ, Cooper OR, Loucks AL, Taubman BF, Johnson BJ, Joseph E, Kucsera TL, Merrill JT, Morris GA, Hersey S, Forbes G, Newchurch MJ, Schmidlin FJ, Tarasick DW, Thouret V, Cammas JP. Intercontinental Chemical Transport Experiment Ozonesonde Network Study (IONS) 2004: 1. Summertime upper troposphere/lower stratosphere ozone over northeastern North America. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007441] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Martin RV, Sauvage B, Folkins I, Sioris CE, Boone C, Bernath P, Ziemke J. Space-based constraints on the production of nitric oxide by lightning. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007831] [Citation(s) in RCA: 155] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Liang Q, Jaeglé L, Hudman RC, Turquety S, Jacob DJ, Avery MA, Browell EV, Sachse GW, Blake DR, Brune W, Ren X, Cohen RC, Dibb JE, Fried A, Fuelberg H, Porter M, Heikes BG, Huey G, Singh HB, Wennberg PO. Summertime influence of Asian pollution in the free troposphere over North America. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007919] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Hudman RC, Jacob DJ, Turquety S, Leibensperger EM, Murray LT, Wu S, Gilliland AB, Avery M, Bertram TH, Brune W, Cohen RC, Dibb JE, Flocke FM, Fried A, Holloway J, Neuman JA, Orville R, Perring A, Ren X, Sachse GW, Singh HB, Swanson A, Wooldridge PJ. Surface and lightning sources of nitrogen oxides over the United States: Magnitudes, chemical evolution, and outflow. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007912] [Citation(s) in RCA: 247] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Singh HB, Salas L, Herlth D, Kolyer R, Czech E, Avery M, Crawford JH, Pierce RB, Sachse GW, Blake DR, Cohen RC, Bertram TH, Perring A, Wooldridge PJ, Dibb J, Huey G, Hudman RC, Turquety S, Emmons LK, Flocke F, Tang Y, Carmichael GR, Horowitz LW. Reactive nitrogen distribution and partitioning in the North American troposphere and lowermost stratosphere. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007664] [Citation(s) in RCA: 87] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Fu TM, Jacob DJ, Palmer PI, Chance K, Wang YX, Barletta B, Blake DR, Stanton JC, Pilling MJ. Space-based formaldehyde measurements as constraints on volatile organic compound emissions in east and south Asia and implications for ozone. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007853] [Citation(s) in RCA: 195] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Wang Y, McElroy MB, Martin RV, Streets DG, Zhang Q, Fu TM. Seasonal variability of NOxemissions over east China constrained by satellite observations: Implications for combustion and microbial sources. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007538] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Singh HB, Brune WH, Crawford JH, Jacob DJ, Russell PB. Overview of the summer 2004 Intercontinental Chemical Transport Experiment–North America (INTEX-A). ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2006jd007905] [Citation(s) in RCA: 208] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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