Articles | Volume 6, issue 9
https://doi.org/10.5194/amt-6-2455-2013
© Author(s) 2013. 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-6-2455-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Sep 2013
Research article |
| 23 Sep 2013
Validation and empirical correction of MODIS AOT and AE over ocean
N. A. J. Schutgens
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK
M. Nakata
Faculty of Applied Sociology, Environmental Studies, Kinki University, higashi-Osaka, Japan
T. Nakajima
Atmospheric and Oceanic Research Institute, University of Tokyo, Tokyo, Japan
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22 citations as recorded by crossref.
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- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
- The importance of temporal collocation for the evaluation of aerosol models with observations N. Schutgens et al. 10.5194/acp-16-1065-2016
- Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
- Will a perfect model agree with perfect observations? The impact of spatial sampling N. Schutgens et al. 10.5194/acp-16-6335-2016
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
- Dimming over the oceans: Transient anthropogenic aerosol plumes in the twentieth century T. Dallafior et al. 10.1002/2014JD022658
- Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 E. Di Tomaso et al. 10.5194/gmd-10-1107-2017
- Global evaluation of NOAA-20 VIIRS dark target aerosol products over land and ocean X. Pei et al. 10.1016/j.atmosenv.2024.120949
- Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors M. Kacenelenbogen et al. 10.5194/acp-19-4933-2019
- Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. 10.3390/rs14112544
- Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale P. Crippa et al. 10.5194/acp-16-397-2016
- A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acp-15-10597-2015
- Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
- Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model Y. Zhou et al. 10.1029/2020EA001222
- Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al. 10.5194/acp-15-7173-2015
- Model‐based estimation of sampling‐caused uncertainty in aerosol remote sensing for climate research applications I. Geogdzhayev et al. 10.1002/qj.2305
21 citations as recorded by crossref.
- Evaluation of satellite-based aerosol datasets and the CAMS reanalysis over the ocean utilizing shipborne reference observations J. Witthuhn et al. 10.5194/amt-13-1387-2020
- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
- The importance of temporal collocation for the evaluation of aerosol models with observations N. Schutgens et al. 10.5194/acp-16-1065-2016
- Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
- Will a perfect model agree with perfect observations? The impact of spatial sampling N. Schutgens et al. 10.5194/acp-16-6335-2016
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
- Dimming over the oceans: Transient anthropogenic aerosol plumes in the twentieth century T. Dallafior et al. 10.1002/2014JD022658
- Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 E. Di Tomaso et al. 10.5194/gmd-10-1107-2017
- Global evaluation of NOAA-20 VIIRS dark target aerosol products over land and ocean X. Pei et al. 10.1016/j.atmosenv.2024.120949
- Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors M. Kacenelenbogen et al. 10.5194/acp-19-4933-2019
- Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements A. Panagiotopoulou et al. 10.5194/gmd-9-4257-2016
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. 10.3390/rs14112544
- Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale P. Crippa et al. 10.5194/acp-16-397-2016
- A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acp-15-10597-2015
- Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
- Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model Y. Zhou et al. 10.1029/2020EA001222
- Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al. 10.5194/acp-15-7173-2015
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