Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-2235-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2235-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2024
Research article |
| 17 Apr 2024
| 17 Apr 2024
A directional surface reflectance climatology determined from TROPOMI observations
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Martin de Graaf
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Victor J. H. Trees
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Pavel Litvinov
GRASP SAS, Remote Sensing Developments, 59260 Lezennes, France
Oleg Dubovik
Laboratoire d'Optique Atmosphérique, CNRS/Université de Lille, Villeneuve-d'Ascq, 59650, France
Piet Stammes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
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Cited
31 citations as recorded by crossref.
- Cloud Property Retrieval Based on DISAMAR Using Oxygen-A and Oxygen-B Band Measurements by TROPOMI on Sentinel-5P X. Zhang et al. https://doi.org/10.1109/TGRS.2025.3643150
- Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al. https://doi.org/10.5194/acp-25-2061-2025
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
- Diurnal variations of NO2 tropospheric vertical column density over the Seoul metropolitan area from the Geostationary Environment Monitoring Spectrometer (GEMS): seasonal differences and the influence of the a priori NO2 profile S. Seo et al. https://doi.org/10.5194/amt-18-115-2025
- 风云三号<bold>F</bold>星紫外高光谱臭氧探测仪<bold>-</bold>天底型<bold>(</bold><bold>OMS-N</bold><bold>)</bold>臭氧总量观测 健. 许 et al. https://doi.org/10.1360/N072025-0050
- First total ozone column observations from the Ozone Monitoring Suite-Nadir (OMS-N) onboard China’s FengYun-3F satellite J. Xu et al. https://doi.org/10.1007/s11430-025-1686-0
- Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities P. Litvinov et al. https://doi.org/10.1016/j.rse.2024.114355
- Aeolus lidar surface return (LSR) at 355 nm as a new Aeolus Level-2A product L. Labzovskii et al. https://doi.org/10.5194/amt-17-7183-2024
- Refining NO 2 air-mass factors with scattering clouds: TROPOMI-based assessment in TANSO-3/GOSAT-GW data processing H. Lim et al. https://doi.org/10.1080/2150704X.2026.2673539
- Physics-Constrained Bayesian Neural Networks for Aerosol Retrieval From Hyperspectral Satellite Measurements With Integrated Uncertainty Quantification L. Rao et al. https://doi.org/10.1109/TGRS.2025.3640712
- Improved Absorbing Aerosol Index Results for EMI on Board Atmospheric Environment Monitoring Satellite F. Tang et al. https://doi.org/10.1109/JSTARS.2025.3540510
- Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-1561-2025
- Comparison of GEMS v3.0 tropospheric NO 2 columns with ground-based DOAS instruments in Ulsan K. Bae et al. https://doi.org/10.1080/15481603.2025.2597604
- Optimized retrievals of aerosol optical properties from directional polarimetric camera using optimal linear mixture of basis aerosol models supported by the non-negative matrix factorization S. Jin et al. https://doi.org/10.1016/j.rse.2026.115504
- Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. https://doi.org/10.5194/amt-18-73-2025
- HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution G. Roccetti et al. https://doi.org/10.5194/amt-17-6025-2024
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
- Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
- 国产卫星EMI吸收性气溶胶指数反演与校正研究 汤. Tang Fuying et al. https://doi.org/10.3788/AOS251832
- TROPOMI Level 3 tropospheric NO2 dataset with advanced uncertainty analysis from the ESA CCI+ ECV precursor project I. Glissenaar et al. https://doi.org/10.5194/essd-17-4627-2025
- Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation M. de Graaf et al. https://doi.org/10.5194/amt-18-2553-2025
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- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. https://doi.org/10.5194/amt-17-6163-2024
- Harmonized cloud datasets for the Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) using the O2–O2 477 nm absorption band H. Yu et al. https://doi.org/10.5194/amt-18-4131-2025
- Modeling actinic flux and photolysis frequencies in dense biomass burning plumes J. Tirpitz et al. https://doi.org/10.5194/acp-25-1989-2025
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- Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. https://doi.org/10.5194/amt-17-5601-2024
- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. https://doi.org/10.1186/s13021-024-00273-1
- Extending the MAIAC algorithm for hyperspectral atmospheric correction of TROPOMI measurements: A case study over vegetated regions S. Go et al. https://doi.org/10.1016/j.rse.2026.115593
31 citations as recorded by crossref.
- Cloud Property Retrieval Based on DISAMAR Using Oxygen-A and Oxygen-B Band Measurements by TROPOMI on Sentinel-5P X. Zhang et al. https://doi.org/10.1109/TGRS.2025.3643150
- Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al. https://doi.org/10.5194/acp-25-2061-2025
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
- Diurnal variations of NO2 tropospheric vertical column density over the Seoul metropolitan area from the Geostationary Environment Monitoring Spectrometer (GEMS): seasonal differences and the influence of the a priori NO2 profile S. Seo et al. https://doi.org/10.5194/amt-18-115-2025
- 风云三号<bold>F</bold>星紫外高光谱臭氧探测仪<bold>-</bold>天底型<bold>(</bold><bold>OMS-N</bold><bold>)</bold>臭氧总量观测 健. 许 et al. https://doi.org/10.1360/N072025-0050
- First total ozone column observations from the Ozone Monitoring Suite-Nadir (OMS-N) onboard China’s FengYun-3F satellite J. Xu et al. https://doi.org/10.1007/s11430-025-1686-0
- Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities P. Litvinov et al. https://doi.org/10.1016/j.rse.2024.114355
- Aeolus lidar surface return (LSR) at 355 nm as a new Aeolus Level-2A product L. Labzovskii et al. https://doi.org/10.5194/amt-17-7183-2024
- Refining NO 2 air-mass factors with scattering clouds: TROPOMI-based assessment in TANSO-3/GOSAT-GW data processing H. Lim et al. https://doi.org/10.1080/2150704X.2026.2673539
- Physics-Constrained Bayesian Neural Networks for Aerosol Retrieval From Hyperspectral Satellite Measurements With Integrated Uncertainty Quantification L. Rao et al. https://doi.org/10.1109/TGRS.2025.3640712
- Improved Absorbing Aerosol Index Results for EMI on Board Atmospheric Environment Monitoring Satellite F. Tang et al. https://doi.org/10.1109/JSTARS.2025.3540510
- Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-1561-2025
- Comparison of GEMS v3.0 tropospheric NO 2 columns with ground-based DOAS instruments in Ulsan K. Bae et al. https://doi.org/10.1080/15481603.2025.2597604
- Optimized retrievals of aerosol optical properties from directional polarimetric camera using optimal linear mixture of basis aerosol models supported by the non-negative matrix factorization S. Jin et al. https://doi.org/10.1016/j.rse.2026.115504
- Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI V. Trees et al. https://doi.org/10.5194/amt-18-73-2025
- HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution G. Roccetti et al. https://doi.org/10.5194/amt-17-6025-2024
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
- Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
- 国产卫星EMI吸收性气溶胶指数反演与校正研究 汤. Tang Fuying et al. https://doi.org/10.3788/AOS251832
- TROPOMI Level 3 tropospheric NO2 dataset with advanced uncertainty analysis from the ESA CCI+ ECV precursor project I. Glissenaar et al. https://doi.org/10.5194/essd-17-4627-2025
- Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation M. de Graaf et al. https://doi.org/10.5194/amt-18-2553-2025
- Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements K. Lange et al. https://doi.org/10.5194/amt-17-6315-2024
- First results of SO2 columns from FY-3F/OMS instrument observations H. Yan et al. https://doi.org/10.5194/amt-19-2279-2026
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. https://doi.org/10.5194/amt-17-6163-2024
- Harmonized cloud datasets for the Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) using the O2–O2 477 nm absorption band H. Yu et al. https://doi.org/10.5194/amt-18-4131-2025
- Modeling actinic flux and photolysis frequencies in dense biomass burning plumes J. Tirpitz et al. https://doi.org/10.5194/acp-25-1989-2025
- Evaluation of cloud height, optical thickness, and phase retrievals from the CHROMA algorithm applied to Sentinel-3 OLCI data A. Sayer et al. https://doi.org/10.5194/amt-18-6681-2025
- Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. https://doi.org/10.5194/amt-17-5601-2024
- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. https://doi.org/10.1186/s13021-024-00273-1
- Extending the MAIAC algorithm for hyperspectral atmospheric correction of TROPOMI measurements: A case study over vegetated regions S. Go et al. https://doi.org/10.1016/j.rse.2026.115593
Saved (final revised paper)
Latest update: 11 Sep 2026
Short summary
This paper introduces a new surface albedo climatology of directionally dependent Lambertian-equivalent reflectivity (DLER) observed by TROPOMI on the Sentinel-5 Precursor satellite. The database contains monthly fields of DLER for 21 wavelength bands at a relatively high spatial resolution of 0.125 by 0.125 degrees. The anisotropy of the surface reflection is handled by parameterisation of the viewing angle dependence.
This paper introduces a new surface albedo climatology of directionally dependent...
