Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-985-2020
© Author(s) 2020. 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-13-985-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Mar 2020
Research article |
| 02 Mar 2020
| 02 Mar 2020
Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements
German Aerospace Center (DLR), Remote Sensing Technology Institute,
Oberpfaffenhofen, 82234 Weßling, Germany
German Aerospace Center (DLR), Remote Sensing Technology Institute,
Oberpfaffenhofen, 82234 Weßling, Germany
Klaus-Peter Heue
German Aerospace Center (DLR), Remote Sensing Technology Institute,
Oberpfaffenhofen, 82234 Weßling, Germany
Walter Zimmer
German Aerospace Center (DLR), Remote Sensing Technology Institute,
Oberpfaffenhofen, 82234 Weßling, Germany
Viewed
Total article views: 6,139 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,748 | 1,311 | 80 | 6,139 | 84 | 62 |
- HTML: 4,748
- PDF: 1,311
- XML: 80
- Total: 6,139
- BibTeX: 84
- EndNote: 62
Total article views: 4,656 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,003 | 582 | 71 | 4,656 | 78 | 59 |
- HTML: 4,003
- PDF: 582
- XML: 71
- Total: 4,656
- BibTeX: 78
- EndNote: 59
Total article views: 1,483 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 745 | 729 | 9 | 1,483 | 6 | 3 |
- HTML: 745
- PDF: 729
- XML: 9
- Total: 1,483
- BibTeX: 6
- EndNote: 3
Viewed (geographical distribution)
Total article views: 6,139 (including HTML, PDF, and XML)
Thereof 5,530 with geography defined
and 609 with unknown origin.
Total article views: 4,656 (including HTML, PDF, and XML)
Thereof 4,326 with geography defined
and 330 with unknown origin.
Total article views: 1,483 (including HTML, PDF, and XML)
Thereof 1,204 with geography defined
and 279 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
34 citations as recorded by crossref.
- A directional surface reflectance climatology determined from TROPOMI observations L. Tilstra et al. 10.5194/amt-17-2235-2024
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations S. Zhu et al. 10.1038/s41597-023-02656-4
- The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
- Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations J. Brence et al. 10.1007/s10994-022-06155-2
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Volcanic SO<sub>2</sub> effective layer height retrieval for the Ozone Monitoring Instrument (OMI) using a machine-learning approach N. Fedkin et al. 10.5194/amt-14-3673-2021
- DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns S. Zhu et al. 10.1016/j.atmosenv.2020.118143
- Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
- Two Machine Learning Based Schemes for Solving Direct and Inverse Problems of Radiative Transfer Theory D. Efremenko et al. 10.51130/graphicon-2020-2-3-45
- Evaluation of Water Vapor Product from TROPOMI and GOME-2 Satellites against Ground-Based GNSS Data over Europe J. Vaquero-Martinez et al. 10.3390/atmos13071079
- TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements K. Garane et al. 10.5194/amt-16-57-2023
- Volcanic SO<sub>2</sub> layer height by TROPOMI/S5P: evaluation against IASI/MetOp and CALIOP/CALIPSO observations M. Koukouli et al. 10.5194/acp-22-5665-2022
- Optimization of Aerosol Model Selection for TROPOMI/S5P L. Rao et al. 10.3390/rs13132489
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- Remote Sensing of Tropospheric Ozone from Space: Progress and Challenges J. Xu et al. 10.34133/remotesensing.0178
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. 10.5194/amt-17-6163-2024
- Skyglow from ground-reflected radiation: model improvements M. Kocifaj et al. 10.1093/mnras/stae1992
- Quantifying emission fluxes of atmospheric pollutants from mobile differential optical absorption spectroscopic (DOAS) observations Q. Zhang et al. 10.1016/j.saa.2022.121959
- TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. 10.5194/amt-13-6789-2020
- Tropospheric ozone retrieval by a combination of TROPOMI/S5P measurements with BASCOE assimilated data K. Heue et al. 10.5194/amt-15-5563-2022
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
- Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
- Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al. 10.1016/j.scitotenv.2022.158271
- Directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface measured by the GOME-2 satellite instruments L. Tilstra et al. 10.5194/amt-14-4219-2021
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. 10.5194/acp-19-3939-2019
- Sulfur dioxide layer height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM P. Hedelt et al. 10.5194/amt-12-5503-2019
- TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions K. Garane et al. 10.5194/amt-12-5263-2019
31 citations as recorded by crossref.
- A directional surface reflectance climatology determined from TROPOMI observations L. Tilstra et al. 10.5194/amt-17-2235-2024
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations S. Zhu et al. 10.1038/s41597-023-02656-4
- The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
- Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations J. Brence et al. 10.1007/s10994-022-06155-2
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Volcanic SO<sub>2</sub> effective layer height retrieval for the Ozone Monitoring Instrument (OMI) using a machine-learning approach N. Fedkin et al. 10.5194/amt-14-3673-2021
- DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns S. Zhu et al. 10.1016/j.atmosenv.2020.118143
- Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
- Two Machine Learning Based Schemes for Solving Direct and Inverse Problems of Radiative Transfer Theory D. Efremenko et al. 10.51130/graphicon-2020-2-3-45
- Evaluation of Water Vapor Product from TROPOMI and GOME-2 Satellites against Ground-Based GNSS Data over Europe J. Vaquero-Martinez et al. 10.3390/atmos13071079
- TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements K. Garane et al. 10.5194/amt-16-57-2023
- Volcanic SO<sub>2</sub> layer height by TROPOMI/S5P: evaluation against IASI/MetOp and CALIOP/CALIPSO observations M. Koukouli et al. 10.5194/acp-22-5665-2022
- Optimization of Aerosol Model Selection for TROPOMI/S5P L. Rao et al. 10.3390/rs13132489
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- Remote Sensing of Tropospheric Ozone from Space: Progress and Challenges J. Xu et al. 10.34133/remotesensing.0178
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. 10.5194/amt-17-6163-2024
- Skyglow from ground-reflected radiation: model improvements M. Kocifaj et al. 10.1093/mnras/stae1992
- Quantifying emission fluxes of atmospheric pollutants from mobile differential optical absorption spectroscopic (DOAS) observations Q. Zhang et al. 10.1016/j.saa.2022.121959
- TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. 10.5194/amt-13-6789-2020
- Tropospheric ozone retrieval by a combination of TROPOMI/S5P measurements with BASCOE assimilated data K. Heue et al. 10.5194/amt-15-5563-2022
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
- Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
- Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al. 10.1016/j.scitotenv.2022.158271
- Directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface measured by the GOME-2 satellite instruments L. Tilstra et al. 10.5194/amt-14-4219-2021
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
3 citations as recorded by crossref.
- Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. 10.5194/acp-19-3939-2019
- Sulfur dioxide layer height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM P. Hedelt et al. 10.5194/amt-12-5503-2019
- TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions K. Garane et al. 10.5194/amt-12-5263-2019
Latest update: 15 Jan 2025
Short summary
In this paper we present a novel algorithm for the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) from UVN sensors based on the full-physics inverse learning machine (FP_ILM) retrieval.
The GE_LER retrieval is optimized for the trace gas retrievals using the DOAS technique and the large amount of data of TROPOMI on board the EU/ESA Sentinel-5 Precursor mission.
In this paper we present a novel algorithm for the retrieval of geometry-dependent effective...
