Articles | Volume 2, issue 2
https://doi.org/10.5194/amt-2-679-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-2-679-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 Nov 2009
The GRAPE aerosol retrieval algorithm
G. E. Thomas
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
C. A. Poulsen
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, Didcot, UK
A. M. Sayer
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
S. H. Marsh
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
present address: Department of Medical Physics and Bioengineering, Christchurch Hospital, New Zealand
S. M. Dean
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
present address: National Institute of Water and Atmospheric Research, Wellington, New Zealand
E. Carboni
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
R. Siddans
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, Didcot, UK
R. G. Grainger
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
B. N. Lawrence
Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, Didcot, UK
Viewed
Total article views: 3,273 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 Apr 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,769 | 1,388 | 116 | 3,273 | 156 | 88 |
- HTML: 1,769
- PDF: 1,388
- XML: 116
- Total: 3,273
- BibTeX: 156
- EndNote: 88
Total article views: 2,620 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 06 Nov 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,432 | 1,095 | 93 | 2,620 | 126 | 74 |
- HTML: 1,432
- PDF: 1,095
- XML: 93
- Total: 2,620
- BibTeX: 126
- EndNote: 74
Total article views: 653 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 Apr 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 337 | 293 | 23 | 653 | 30 | 14 |
- HTML: 337
- PDF: 293
- XML: 23
- Total: 653
- BibTeX: 30
- EndNote: 14
Cited
49 citations as recorded by crossref.
- The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light A. Kokhanovsky et al. 10.5194/amt-3-909-2010
- A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain S. Corradini et al. 10.3390/rs8010058
- The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors O. Sus et al. 10.5194/amt-11-3373-2018
- Determination of land surface reflectance using the AATSR dual-view capability L. Sogacheva et al. 10.5194/amt-8-891-2015
- Bias correction and covariance parameters for optimal estimation by exploiting matched in-situ references C. Merchant et al. 10.1016/j.rse.2019.111590
- Validation of the GRAPE single view aerosol retrieval for ATSR-2 and insights into the long term global AOD trend over the ocean G. Thomas et al. 10.5194/acp-10-4849-2010
- Relationship between wind speed and aerosol optical depth over remote ocean H. Huang et al. 10.5194/acp-10-5943-2010
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products J. Wei et al. 10.5194/acp-19-7183-2019
- Aerosol-type retrieval and uncertainty quantification from OMI data A. Kauppi et al. 10.5194/amt-10-4079-2017
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia S. Park et al. 10.1016/j.atmosenv.2023.119916
- Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble S. Sparrow et al. 10.1175/JCLI-D-17-0514.1
- The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
- Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis G. de Leeuw et al. 10.1016/j.rse.2013.04.023
- Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. 10.1016/j.jqsrt.2014.01.003
- Remote sensing of atmospheric aerosol using spaceborne optical observations A. Kokhanovsky 10.1016/j.earscirev.2012.10.008
- Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: the case of the Eyjafjallajökull eruption D. Balis et al. 10.5194/acp-16-5705-2016
- Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
- Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data J. Quaas et al. 10.5194/acp-9-8697-2009
- Global retrieval of ATSR cloud parameters and evaluation (GRAPE): dataset assessment A. Sayer et al. 10.5194/acp-11-3913-2011
- Quantitative assessment of the potential of optimal estimation for aerosol retrieval from geostationary weather satellites in the frame of the iAERUS‐GEO algorithm A. Georgeot et al. 10.1002/asl.1199
- Retrieval of ash properties from IASI measurements L. Ventress et al. 10.5194/amt-9-5407-2016
- Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger 10.5194/amt-8-4699-2015
- Systematic satellite observations of the impact of aerosols from passive volcanic degassing on local cloud properties S. Ebmeier et al. 10.5194/acp-14-10601-2014
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
- The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach G. McGarragh et al. 10.5194/amt-11-3397-2018
- Quantifying the response of the ORAC aerosol optical depth retrieval for MSG SEVIRI to aerosol model assumptions C. Bulgin et al. 10.1029/2010JD014483
- Use of MODIS-derived surface reflectance data in the ORAC-AATSR aerosol retrieval algorithm: Impact of differences between sensor spectral response functions A. Sayer et al. 10.1016/j.rse.2011.02.029
- XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
- Algorithm for retrieving surface pressure from hyper-spectral measurements in oxygen A-band H. Liu et al. 10.1007/s11434-014-0195-8
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- Big grains go far: understanding the discrepancy between tephrochronology and satellite infrared measurements of volcanic ash J. Stevenson et al. 10.5194/amt-8-2069-2015
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al. 10.5194/amt-15-5985-2022
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- Cloud retrievals from satellite data using optimal estimation: evaluation and application to ATSR C. Poulsen et al. 10.5194/amt-5-1889-2012
- AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. 10.5194/acp-14-11493-2014
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
- Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. 10.5194/amt-7-1185-2014
- Regional and monthly and clear-sky aerosol direct radiative effect (and forcing) derived from the GlobAEROSOL-AATSR satellite aerosol product G. Thomas et al. 10.5194/acp-13-393-2013
- Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
- Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes A. Sayer et al. 10.5194/amt-10-1425-2017
- Toward More Representative Gridded Satellite Products A. Povey & R. Grainger 10.1109/LGRS.2018.2881762
- Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
- Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model J. Quaas et al. 10.5194/acp-10-6129-2010
- A sea surface reflectance model for (A)ATSR, and application to aerosol retrievals A. Sayer et al. 10.5194/amt-3-813-2010
47 citations as recorded by crossref.
- The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light A. Kokhanovsky et al. 10.5194/amt-3-909-2010
- A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption Characterization: The 23 November 2013 Etna Lava Fountain S. Corradini et al. 10.3390/rs8010058
- The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors O. Sus et al. 10.5194/amt-11-3373-2018
- Determination of land surface reflectance using the AATSR dual-view capability L. Sogacheva et al. 10.5194/amt-8-891-2015
- Bias correction and covariance parameters for optimal estimation by exploiting matched in-situ references C. Merchant et al. 10.1016/j.rse.2019.111590
- Validation of the GRAPE single view aerosol retrieval for ATSR-2 and insights into the long term global AOD trend over the ocean G. Thomas et al. 10.5194/acp-10-4849-2010
- Relationship between wind speed and aerosol optical depth over remote ocean H. Huang et al. 10.5194/acp-10-5943-2010
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products J. Wei et al. 10.5194/acp-19-7183-2019
- Aerosol-type retrieval and uncertainty quantification from OMI data A. Kauppi et al. 10.5194/amt-10-4079-2017
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia S. Park et al. 10.1016/j.atmosenv.2023.119916
- Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble S. Sparrow et al. 10.1175/JCLI-D-17-0514.1
- The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
- Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis G. de Leeuw et al. 10.1016/j.rse.2013.04.023
- Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. 10.1016/j.jqsrt.2014.01.003
- Remote sensing of atmospheric aerosol using spaceborne optical observations A. Kokhanovsky 10.1016/j.earscirev.2012.10.008
- Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: the case of the Eyjafjallajökull eruption D. Balis et al. 10.5194/acp-16-5705-2016
- Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
- Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data J. Quaas et al. 10.5194/acp-9-8697-2009
- Global retrieval of ATSR cloud parameters and evaluation (GRAPE): dataset assessment A. Sayer et al. 10.5194/acp-11-3913-2011
- Quantitative assessment of the potential of optimal estimation for aerosol retrieval from geostationary weather satellites in the frame of the iAERUS‐GEO algorithm A. Georgeot et al. 10.1002/asl.1199
- Retrieval of ash properties from IASI measurements L. Ventress et al. 10.5194/amt-9-5407-2016
- Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger 10.5194/amt-8-4699-2015
- Systematic satellite observations of the impact of aerosols from passive volcanic degassing on local cloud properties S. Ebmeier et al. 10.5194/acp-14-10601-2014
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
- The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach G. McGarragh et al. 10.5194/amt-11-3397-2018
- Quantifying the response of the ORAC aerosol optical depth retrieval for MSG SEVIRI to aerosol model assumptions C. Bulgin et al. 10.1029/2010JD014483
- Use of MODIS-derived surface reflectance data in the ORAC-AATSR aerosol retrieval algorithm: Impact of differences between sensor spectral response functions A. Sayer et al. 10.1016/j.rse.2011.02.029
- XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
- Algorithm for retrieving surface pressure from hyper-spectral measurements in oxygen A-band H. Liu et al. 10.1007/s11434-014-0195-8
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- Big grains go far: understanding the discrepancy between tephrochronology and satellite infrared measurements of volcanic ash J. Stevenson et al. 10.5194/amt-8-2069-2015
- Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption A. Prata et al. 10.5194/amt-15-5985-2022
- Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
- Cloud retrievals from satellite data using optimal estimation: evaluation and application to ATSR C. Poulsen et al. 10.5194/amt-5-1889-2012
- AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. 10.5194/acp-14-11493-2014
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Optimal estimation framework for ocean color atmospheric correction and pixel-level uncertainty quantification A. Ibrahim et al. 10.1364/AO.461861
- Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. 10.5194/amt-7-1185-2014
- Regional and monthly and clear-sky aerosol direct radiative effect (and forcing) derived from the GlobAEROSOL-AATSR satellite aerosol product G. Thomas et al. 10.5194/acp-13-393-2013
- Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
- Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes A. Sayer et al. 10.5194/amt-10-1425-2017
- Toward More Representative Gridded Satellite Products A. Povey & R. Grainger 10.1109/LGRS.2018.2881762
- Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model J. Mulcahy et al. 10.5194/gmd-16-1569-2023
2 citations as recorded by crossref.
Saved (final revised paper)
Saved (preprint)
Latest update: 08 Mar 2024
