On the public citation graph

Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea

0 signed · 111 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0960-1686(92)90302-2openalex-snapshot

Formation of HNO2 on aerosol surfaces during foggy periods in the presence of NO and NO2

inferredcites →https://doi.org/10.1016/j.atmosenv.2008.05.057openalex-snapshot

A review of land-use regression models to assess spatial variation of outdoor air pollution

inferredcites →https://doi.org/10.1016/j.atmosenv.2008.07.018openalex-snapshot

Satellite remote sensing of surface air quality

inferredcites →https://doi.org/10.1016/j.atmosenv.2012.11.046openalex-snapshot

Remote sensing of exposure to NO2: Satellite versus ground-based measurement in a large urban area

inferredcites →https://doi.org/10.1016/j.atmosenv.2013.05.042openalex-snapshot

Verification of NOx emission inventory over South Korea using sectoral activity data and satellite observation of NO2 vertical column densities

inferredcites →https://doi.org/10.1016/j.envint.2012.04.008openalex-snapshot

Associations between short-term exposure to nitrogen dioxide and mortality in 17 Chinese cities: The China Air Pollution and Health Effects Study (CAPES)

inferredcites →https://doi.org/10.1016/j.rse.2011.09.027openalex-snapshot

TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications

inferredcites →https://doi.org/10.1016/j.scitotenv.2018.08.159openalex-snapshot

Outdoor spatial distribution and indoor levels of NO2 and SO2 in a high environmental risk site of the South Italy

inferredcites →https://doi.org/10.1021/es2025752openalex-snapshot

Exposure Assessment for Estimation of the Global Burden of Disease Attributable to Outdoor Air Pollution

inferredcites →https://doi.org/10.1029/2007jd009235openalex-snapshot

Ground‐level nitrogen dioxide concentrations inferred from the satellite‐borne Ozone Monitoring Instrument

inferredcites →https://doi.org/10.1029/2008jd010290openalex-snapshot

Earth surface reflectance climatology from 3 years of OMI data

inferredcites →https://doi.org/10.1029/2018gl081095openalex-snapshot

High‐Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands

inferredcites →https://doi.org/10.1029/2020ef001665openalex-snapshot

TROPOMI NO 2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO 2 Concentrations

inferredcites →https://doi.org/10.1029/jd092id04p04191openalex-snapshot

Ozone production in the rural troposphere and the implications for regional and global ozone distributions

inferredcites →https://doi.org/10.1039/c0em00659aopenalex-snapshot

Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea using highly time resolved measurements: a PSCF model approach

inferredcites →https://doi.org/10.1080/136588197242158openalex-snapshot

Mapping urban air pollution using GIS: a regression-based approach

inferredcites →https://doi.org/10.1088/1748-9326/aba3a5openalex-snapshot

Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument

inferredcites →https://doi.org/10.1097/01.ede.0000181308.51440.75openalex-snapshot

Childhood Asthma and Exposure to Traffic and Nitrogen Dioxide

inferredcites →https://doi.org/10.1109/tgrs.2006.872333openalex-snapshot

The ozone monitoring instrument

inferredcites →https://doi.org/10.1126/science.aax6832openalex-snapshot

Direct observation of changing NO x lifetime in North American cities

inferredcites →https://doi.org/10.1136/oem.2004.014746openalex-snapshot

Twenty five year mortality and air pollution: results from the French PAARC survey

inferredcites →https://doi.org/10.1136/thx.50.10.1051openalex-snapshot

Short-term association between air pollution and emergency room visits for asthma in Barcelona.

inferredcites →https://doi.org/10.1146/annurev.ea.07.050179.002303openalex-snapshot

The Role of NO and NO2 in the Chemistry of the Troposphere and Stratosphere

inferredcites →https://doi.org/10.1175/1520-0469(1999)056<0127:smoamm>2.0.co;2openalex-snapshot

SCIAMACHY: Mission Objectives and Measurement Modes

inferredcites →https://doi.org/10.1175/1520-0469(1999)056<0151:tgomeg>2.0.co;2openalex-snapshot

The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results

inferredcites →https://doi.org/10.1175/bams-d-15-00308.1openalex-snapshot

The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions

inferredcites →https://doi.org/10.1175/bams-d-18-0013.1openalex-snapshot

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

inferredcites →https://doi.org/10.1175/bams-d-18-0025.1openalex-snapshot

The Ozone Water–Land Environmental Transition Study: An Innovative Strategy for Understanding Chesapeake Bay Pollution Events

inferredcites →https://doi.org/10.1289/ehp.0901623openalex-snapshot

Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application

inferredcites →https://doi.org/10.1289/ehp.10767openalex-snapshot

Long-Term Effects of Traffic-Related Air Pollution on Mortality in a Dutch Cohort (NLCS-AIR Study)

inferredcites →https://doi.org/10.3389/fenvs.2018.00085openalex-snapshot

The Dawn of Geostationary Air Quality Monitoring: Case Studies From Seoul and Los Angeles

inferredcites →https://doi.org/10.3390/rs11161939openalex-snapshot

Spatial Variation of NO2 and Its Impact Factors in China: An Application of Sentinel-5P Products

inferredcites →https://doi.org/10.3390/rs12142212openalex-snapshot

TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations

inferredcites →https://doi.org/10.3390/rs9030208openalex-snapshot

Investigation of Simultaneous Effects of Aerosol Properties and Aerosol Peak Height on the Air Mass Factors for Space-Borne NO2 Retrievals

inferredcites →https://doi.org/10.4209/aaqr.2010.07.0055openalex-snapshot

Analysis of the Relationship between O3, NO and NO2 in Tianjin, China

inferredcites →https://doi.org/10.5194/acp-13-1927-2013openalex-snapshot

Factors determining the formation of secondary inorganic aerosol: a case study in the Po Valley (Italy)

inferredcites →https://doi.org/10.5194/acp-14-1-2014openalex-snapshot

Chemical feedback effects on the spatial patterns of the NO x weekend effect: a sensitivity analysis

inferredcites →https://doi.org/10.5194/acp-14-1441-2014openalex-snapshot

Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide

inferredcites →https://doi.org/10.5194/acp-15-5275-2015openalex-snapshot

Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS

inferredcites →https://doi.org/10.5194/acp-16-1789-2016openalex-snapshot

Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS)

inferredcites →https://doi.org/10.5194/acp-16-5283-2016openalex-snapshot

NO x lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations

inferredcites →https://doi.org/10.5194/acp-17-8211-2017openalex-snapshot

Estimating daily surface NO 2 concentrations from satellite data – a case study over Hong Kong using land use regression models

inferredcites →https://doi.org/10.5194/acp-19-3515-2019openalex-snapshot

The CAMS reanalysis of atmospheric composition

inferredcites →https://doi.org/10.5194/acp-20-12761-2020openalex-snapshot

Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3

inferredcites →https://doi.org/10.5194/acp-20-1483-2020openalex-snapshot

Effect of changing NO x lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO 2 columns over China

inferredcites →https://doi.org/10.5194/acp-3-1285-2003openalex-snapshot

Averaging kernels for DOAS total-column satellite retrievals

inferredcites →https://doi.org/10.5194/amt-11-4033-2018openalex-snapshot

Improved slant column density retrieval of nitrogen dioxide and formaldehyde for OMI and GOME-2A from QA4ECV: intercomparison, uncertainty characterisation, and trends

inferredcites →https://doi.org/10.5194/amt-11-6439-2018openalex-snapshot

Pre-launch calibration results of the TROPOMI payload on-board the Sentinel-5 Precursor satellite

inferredcites →https://doi.org/10.5194/amt-11-6651-2018openalex-snapshot

Improving algorithms and uncertainty estimates for satellite NO 2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

inferredcites →https://doi.org/10.5194/amt-12-6091-2019openalex-snapshot

Evaluating the impact of spatial resolution on tropospheric NO 2 column comparisons within urban areas using high-resolution airborne data

inferredcites →https://doi.org/10.5194/amt-13-205-2020openalex-snapshot

Comparison of TROPOMI/Sentinel-5 Precursor NO 2 observations with ground-based measurements in Helsinki

inferredcites →https://doi.org/10.5194/amt-3-475-2010openalex-snapshot

On the improvement of NO 2 satellite retrievals – aerosol impact on the airmass factors

inferredcites →https://doi.org/10.5194/amt-4-1905-2011openalex-snapshot

An improved tropospheric NO 2 column retrieval algorithm for the Ozone Monitoring Instrument

inferredcites →https://doi.org/10.5194/amt-6-2607-2013openalex-snapshot

A new stratospheric and tropospheric NO 2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI

inferredcites →https://doi.org/10.5194/amt-8-1685-2015openalex-snapshot

Improved spectral fitting of nitrogen dioxide from OMI in the 405–465 nm window

inferredcites →https://doi.org/10.5194/amt-9-1279-2016openalex-snapshot

The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing – an overview

inferredcites →https://doi.org/10.5194/gmd-10-721-2017openalex-snapshot

The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation

inferredcites →https://doi.org/10.5194/gmd-3-445-2010openalex-snapshot

The global chemistry transport model TM5: description and evaluation of the tropospheric chemistry version 3.0

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4751540openalex-extracted

No2 Data from Air Quality Networks and Sentinel-5p: Relationship with O3 and Meteorological Variables in the Three Most Populated Cities in Spain

inferred← citeshttps://doi.org/10.1007/s11270-025-08101-zopenalex-snapshot

NO2 Emissions at Highway Toll Stations: Integrated Satellite and Traffic Data Insights from Holiday Analysis

inferred← citeshttps://doi.org/10.1007/s12145-026-02096-9openalex-snapshot

CityAQVis: integrated ML-visualization sandbox tool for pollutant estimation in urban regions using multi-source data (software article)

inferred← citeshttps://doi.org/10.1007/s41324-022-00449-2openalex-snapshot

Investigating effect of COVID-19 on NO2 density using remote sensing products (case study: Tehran province)

inferred← citeshttps://doi.org/10.1016/j.atmosenv.2024.120326openalex-snapshot

Impact of the implementation of Madrid's low emission zone on NO2 concentration using Sentinel-5P/TROPOMI data

inferred← citeshttps://doi.org/10.1016/j.atmosenv.2025.121738openalex-snapshot

Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand

inferred← citeshttps://doi.org/10.1016/j.atmosenv.2026.121904openalex-snapshot

Estimating surface-level NO2 concentrations in the Madrid region using Sentinel-5P observations and ground-based meteorological data with machine learning approaches

inferred← citeshttps://doi.org/10.1016/j.rsase.2023.101083openalex-snapshot

TROPOMI NO2 Sentinel-5P data in the Community of Madrid: A detailed consistency analysis with in situ surface observations

inferred← citeshttps://doi.org/10.1016/j.rse.2023.113514openalex-snapshot

Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak

inferred← citeshttps://doi.org/10.1016/j.rse.2026.115682openalex-snapshot

Diurnal coupling of total column nitrogen dioxide and aerosol optical depth: Insights from the Pandora Asia network

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.170822openalex-snapshot

When and why PM2.5 is high in Seoul, South Korea: Interpreting long-term (2015–2021) ground observations using machine learning and a chemical transport model

inferred← citeshttps://doi.org/10.1016/j.uclim.2025.102567openalex-snapshot

Multi-pollutant air quality assessment around urban schools using machine learning

inferred← citeshttps://doi.org/10.1021/acsestair.4c00198openalex-snapshot

Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals

inferred← citeshttps://doi.org/10.1029/2022jd038237openalex-snapshot

New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site

inferred← citeshttps://doi.org/10.1039/d6ea00033aopenalex-snapshot

Sampling sub-pixel scale variability in total column NO 2 within a coastal urban environment: observations from Pandora and implications for satellite remote sensing

inferred← citeshttps://doi.org/10.1080/15481603.2022.2026640openalex-snapshot

Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons

inferred← citeshttps://doi.org/10.1088/1748-9326/ac48b4openalex-snapshot

An improved understanding of NOx emissions in South Asian megacities using TROPOMI NO2 retrievals

inferred← citeshttps://doi.org/10.1109/jsen.2024.3355714openalex-snapshot

Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review

inferred← citeshttps://doi.org/10.1109/tgrs.2026.3724664openalex-snapshot

Spatiotemporal Variation of Near-Surface NO 2 in Northeast Asia Under Extreme Scenarios: A Comparative Analysis of China and South Korea for the Pre-, Co-, and Post-COVID-19 Pandemic

inferred← citeshttps://doi.org/10.17816/humeco678829openalex-snapshot

Atmospheric pollution in Cherepovets according to remote sensing

inferred← citeshttps://doi.org/10.21324/dacd.1355463openalex-snapshot

Orman Yangını Sonrası Oluşan Hasarın ve Hava Kirletici Parametrelerin İzlenmesi: Çanakkale Yangını Örneği

inferred← citeshttps://doi.org/10.2139/ssrn.4825200openalex-snapshot

No2 Data from Air Quality Networks and Sentinel-5p: Relationship with O3 and Meteorological Variables in the Three Most Populated Cities in Spain

inferred← citeshttps://doi.org/10.2139/ssrn.4862063openalex-snapshot

No2 Data from Air Quality Networks and Sentinel-5p: Relationship with O3 and Meteorological Variables in the Largest Cities Of Spain

inferred← citeshttps://doi.org/10.2139/ssrn.5376274openalex-snapshot

Simultaneous Measurements of Aerosols and Trace Gases from the Pandora Asia Network: Assessments of Aod and No2 Levels Across the Asian Continent

inferred← citeshttps://doi.org/10.3389/frsen.2026.1894138openalex-snapshot

Analysis of atmospheric air pollutants (CO, NO2, and SO2), through Sentinel-5P images in google earth engine, apurimac region, period 2020–2023

inferred← citeshttps://doi.org/10.3390/app16104935openalex-snapshot

Satellite-Based Ground-Level NO2 Estimation and Population Exposure Assessment Across the Marmara Region Using Tree-Based Machine Learning

inferred← citeshttps://doi.org/10.3390/atmos13101533openalex-snapshot

The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China

inferred← citeshttps://doi.org/10.3390/atmos15111371openalex-snapshot

The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computing Platform)

inferred← citeshttps://doi.org/10.3390/atmos16101123openalex-snapshot

Assessments of Satellite-Based Aerosol Optical Depth for Monitoring Air Quality of the Large Port of Busan, Korea

inferred← citeshttps://doi.org/10.3390/nitrogen6020032openalex-snapshot

Linking Satellite and Ground Observations of NO2 in Spanish Cities: Influence of Meteorology and O3

inferred← citeshttps://doi.org/10.3390/rs13193987openalex-snapshot

Comparison of Total Column and Surface Mixing Ratio of Carbon Monoxide Derived from the TROPOMI/Sentinel-5 Precursor with In-Situ Measurements from Extensive Ground-Based Network over South Korea

inferred← citeshttps://doi.org/10.3390/rs15020378openalex-snapshot

Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product

inferred← citeshttps://doi.org/10.3390/rs15153703openalex-snapshot

Characterization of Nitrogen Dioxide Variability Using Ground-Based and Satellite Remote Sensing and In Situ Measurements in the Tiber Valley (Lazio, Italy)

inferred← citeshttps://doi.org/10.3390/rs15225400openalex-snapshot

NO2 Concentration Estimation at Urban Ground Level by Integrating Sentinel 5P Data and ERA5 Using Machine Learning: The Milan (Italy) Case Study

inferred← citeshttps://doi.org/10.3390/rs18152581openalex-snapshot

Industrial Dominance of Urban NO2 and Associated Health Risks: A Multi-Source Analysis in the Southern Region of Rio de Janeiro State

inferred← citeshttps://doi.org/10.3390/su15054632openalex-snapshot

Evaluation of the Potential of Sentinel-5P TROPOMI and AIS Marine Traffic Data for the Monitoring of Anthropogenic Activity and Maritime Transport NOx-Emissions in Canary Islands Waters

inferred← citeshttps://doi.org/10.5194/acp-23-3905-2023openalex-snapshot

Potential of TROPOMI for understanding spatio-temporal variations in surface NO 2 and their dependencies upon land use over the Iberian Peninsula

inferred← citeshttps://doi.org/10.5194/acp-25-575-2025openalex-snapshot

Global seasonal urban, industrial, and background NO 2 estimated from TROPOMI satellite observations

inferred← citeshttps://doi.org/10.5194/acp-26-14051-2026openalex-snapshot

Constraints on NO x emission in Thailand using GEMS satellite data

inferred← citeshttps://doi.org/10.5194/amt-16-3959-2023openalex-snapshot

First-time comparison between NO 2 vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements

inferred← citeshttps://doi.org/10.5194/amt-16-625-2023openalex-snapshot

Highly resolved mapping of NO 2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign

inferred← citeshttps://doi.org/10.5194/amt-18-7497-2025openalex-snapshot

Development and validation of satellite-derived surface NO 2 estimates using machine learning versus traditional approaches in North America

inferred← citeshttps://doi.org/10.5194/amt-19-3063-2026openalex-snapshot

Ground-based monitoring of nitrogen dioxide in Kumasi, Ghana, and its comparison with satellite observations

inferred← citeshttps://doi.org/10.5194/amt-2022-51-ac1openalex-snapshot

Reply on RC1

inferred← citeshttps://doi.org/10.5194/amt-2022-51-ac3openalex-snapshot

Reply on RC2

inferred← citeshttps://doi.org/10.5194/egusphere-2022-1056-ac1openalex-snapshot

Reply on RC1

inferred← citeshttps://doi.org/10.5194/egusphere-2022-1056-rc1openalex-snapshot

Comment on egusphere-2022-1056

inferred← citeshttps://doi.org/10.5194/egusphere-2022-1056-rc2openalex-snapshot

Comment on egusphere-2022-1056

inferred← citeshttps://doi.org/10.5194/egusphere-2022-1056-rc3openalex-snapshot

Comment on egusphere-2022-1056

inferred← citeshttps://doi.org/10.5194/egusphere-2024-1991-rc1openalex-snapshot

Comment on egusphere-2024-1991

inferred← citeshttps://doi.org/10.5194/egusphere-2024-1991-rc2openalex-snapshot

Comment on egusphere-2024-1991

inferred← citeshttps://doi.org/10.59192/mapping.463openalex-snapshot

Análisis de datos satelitales de NO₂ en entornos urbanos: estudio de caso en la ciudad de Madrid

inferred← citeshttps://doi.org/10.7780/kjrs.2025.41.4.2openalex-snapshot

Comparison of Vertical Column Density of NO2 from GEMS and Pandora with Surface Mixing Ratio during the Wintertime in South Korea

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.