Atmospheric Measurement Techniques

Papers
(The H4-Index of Atmospheric Measurement Techniques is 35. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2174
Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks138
Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor109
Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements108
Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors89
Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments85
Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data78
Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound75
Assessing the accuracy of low-cost optical particle sensors using a physics-based approach71
First validation of Aeolus wind observations by airborne Doppler wind lidar measurements65
An overview of and issues with sky radiometer technology and SKYNET64
TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations63
Thermal and near-infrared sensor for carbon observation Fourier transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse gases Observing SATellite-2 (GOSAT-2) during its first year in orbit62
The GHGSat-D imaging spectrometer61
Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions60
A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories60
Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations56
High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations55
Intercomparison of NO<sub>2</sub>, O<sub>4</sub>, O<sub>3</sub> and HCHO slant column measurements by MAX-DOAS and z54
MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations53
ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set49
A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data47
In-flight calibration results of the TROPOMI payload on board the Sentinel-5 Precursor satellite44
Effects of the prewhitening method, the time granularity, and the time segmentation on the Mann–Kendall trend detection and the associated Sen's slope43
Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents42
OMPS LP Version 2.0 multi-wavelength aerosol extinction coefficient retrieval algorithm42
A high-resolution monitoring approach of canopy urban heat island using a random forest model and multi-platform observations41
A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections41
A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations38
Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations37
TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–202037
Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels37
Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations36
Rain event detection in commercial microwave link attenuation data using convolutional neural networks36
An improved TROPOMI tropospheric HCHO retrieval over China36
An in situ gas chromatograph with automatic detector switching between PTR- and EI-TOF-MS: isomer-resolved measurements of indoor air35
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