Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4947-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-8-4947-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Nov 2015
Research article |
| 25 Nov 2015
Evaluation of the operational Aerosol Layer Height retrieval algorithm for Sentinel-5 Precursor: application to O2 A band observations from GOME-2A
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
now at: Institute of Environmental Physics, University of Bremen, Bremen, Germany
J. F. de Haan
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
A. Apituley
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
P. Stammes
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
M. O. Vieitez
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
L. G. Tilstra
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
O. N. E. Tuinder
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
C. E. Koning
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
J. P. Veefkind
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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- Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
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- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
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- Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- Comparison of dust-layer heights from active and passive satellite sensors A. Kylling et al. 10.5194/amt-11-2911-2018
- First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates X. Chen et al. 10.1016/j.rse.2021.112674
- Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars K. Michailidis et al. 10.5194/acp-23-1919-2023
- Can multi-angular polarimetric measurements in the oxygen-A and B bands improve the retrieval of aerosol vertical distribution? X. Chen et al. 10.1016/j.jqsrt.2021.107679
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O2 − O2 spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
- A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF) J. Wen et al. 10.1016/j.rse.2020.111644
- Utilization of O4 slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. 10.5194/acp-16-1987-2016
- Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. 10.5194/amt-12-3269-2019
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
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- Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. 10.5194/amt-18-73-2025
- Retrieval of the Aerosol Scale Height Over the Ocean Based on Near-Infrared Multiangle Polarization Measurements T. Pan et al. 10.1109/TGRS.2024.3495036
- Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI M. Kooreman et al. 10.5194/amt-13-6407-2020
- Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method X. Tian et al. 10.1109/TGRS.2024.3405186
- The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. 10.5194/amt-12-6319-2019
- A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm S. Nanda et al. 10.5194/amt-12-6619-2019
- A sensitivity study on the retrieval of aerosol vertical profiles using the oxygen A-band S. Colosimo et al. 10.5194/amt-9-1889-2016
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- Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
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