Atmospheric Measurement Techniques

Papers
(The H4-Index of Atmospheric Measurement Techniques is 30. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Preface to the special issue “EarthCARE Level 2 algorithms and data products”: Editorial in memory of Tobias Wehr150
Uncertainties in temperature statistics and fluxes determined by sonic anemometers due to wind-induced vibrations of mounting arms116
Marine cloud base height retrieval from MODIS cloud properties using machine learning95
Design and fabrication of an electrostatic precipitator for infrared spectroscopy82
Validation of the WRF-ARW eclipse model with measurements from the 2019 and 2020 total solar eclipses77
A novel assessment of the vertical velocity correction for non-orthogonal sonic anemometers61
MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm60
Expanding observational capabilities of diode-laser-based lidar through shot-to-shot modification of laser pulse characteristics60
Assessment of the spectral misalignment effect (SMILE) on EarthCARE's Multi-Spectral Imager aerosol and cloud property retrievals51
Martian column CO 2 and pressure measurement with spaceborne differential absorption lidar at 1.96 µm49
Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar47
Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters47
CARIBIC-AMS: a fully automated aerosol mass spectrometer for operation on routine passenger flights (IAGOS-CARIBIC) – instrument description and first flight application47
Development and validation of a new in situ technique to measure total gaseous chlorine in air42
Development and use of a lightweight sampling system for height-selective UAV-based measurements of organic aerosol particles42
Ground-to-UAV, laser-based emissions quantification of methane and acetylene at long standoff distances42
Intercomparison of seven collocated ground-based infrared spectrometer radiance observations and retrieved thermodynamic profiles40
Assessing Earth's sphericity effects in the specific case of geostationary satellite observations: focus on operational land/aerosol applications from Meteosat Third Generation-Imager40
Flow cytometry and machine learning enable identification of allergenic urban tree pollen39
The sensitivity of the Far-infrared Outgoing Radiation Understanding and Monitoring (FORUM) mission to dust aerosols: a pseudo-observations analysis38
Performance and longevity of compact all-in-one weather stations – the good, the bad and the ugly38
Regional validation of the solar irradiance tool SolaRes in clear-sky conditions, with a focus on the aerosol module35
Revised methodology for CO 2 and CH 4 measurements at remote sites using a working standard-gas-sa35
Inversion algorithm of black carbon mixing state based on machine learning35
Development of a forced advection sampling technique (FAST) for quantification of methane emissions from orphaned wells34
Ground-based total ozone column measurements in the Huggins and Chappuis bands using Direct-Sun DOAS observations33
Synergistic Fusion of Aerosol Optical Depth over India from multi-sensor satellite retrievals with ground-based measurements33
Aerosol retrieval over snow using the RemoTAP algorithm32
Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products31
Enhanced methane monitoring: a globally harmonized daily 0.1° XCH 4 through machine learning-based fusion of GOSAT, GOSAT-2, and TROPOMI31
Emissions from fuel combustion by stoves in residential kitchens in São Paulo – Brazil30
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