Articles | Volume 10, issue 6
https://doi.org/10.5194/acp-10-2777-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-10-2777-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
25 Mar 2010
Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements
C. K. Gatebe
Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, Maryland 21228, USA
NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
O. Dubovik
Laboratoire d'Optique Atmospherique, Centre National de la Research Scientifique et Université des Sciences et Technologies de Lille, 59655 Villeneuve d'Ascq, France
M. D. King
NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado, 80309-0392, USA
A. Sinyuk
NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Sigma Space Corp., Lanham, MD, 20706, USA
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Cited
16 citations as recorded by crossref.
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- Airborne spectral BRDF of various surface types (ocean, vegetation, snow, desert, wetlands, cloud decks, smoke layers) for remote sensing applications C. Gatebe & M. King 10.1016/j.rse.2016.03.029
- Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements M. Román et al. 10.1016/j.rse.2011.04.012
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- Simulating images of passive sensors with finite field of view by coupling 3-D radiative transfer model and sensor perspective projection T. Yin et al. 10.1016/j.rse.2015.02.020
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- Polarimetry of Water Ice Particles Providing Insights on Grain Size and Degree of Sintering on Icy Planetary Surfaces O. Poch et al. 10.1029/2018JE005753
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. 10.1016/j.jqsrt.2018.11.024
- The DOE ARM Aerial Facility B. Schmid et al. 10.1175/BAMS-D-13-00040.1
- Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm A. Lopatin et al. 10.5194/amt-6-2065-2013
- Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations O. Dubovik et al. 10.5194/amt-4-975-2011
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- An overview of the MILAGRO 2006 campaign: Mexico City emissions and their transport and transformation L. Molina et al. 10.5194/acpd-10-7819-2010
15 citations as recorded by crossref.
- Aerosol size distribution retrievals from sunphotometer measurements: Theoretical evaluation of errors due to circumsolar and related effects M. Kocifaj & C. Gueymard 10.1016/j.atmosenv.2012.01.040
- The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results D. Jacob et al. 10.5194/acp-10-5191-2010
- Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar D. dos Santos Oliveira et al. 10.3390/rs15205010
- Airborne spectral BRDF of various surface types (ocean, vegetation, snow, desert, wetlands, cloud decks, smoke layers) for remote sensing applications C. Gatebe & M. King 10.1016/j.rse.2016.03.029
- Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements M. Román et al. 10.1016/j.rse.2011.04.012
- A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications O. Dubovik et al. 10.3389/frsen.2021.706851
- Simultaneous retrieval of aerosol and cloud properties during the MILAGRO field campaign K. Knobelspiesse et al. 10.5194/acp-11-6245-2011
- Simulating images of passive sensors with finite field of view by coupling 3-D radiative transfer model and sensor perspective projection T. Yin et al. 10.1016/j.rse.2015.02.020
- An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation L. Molina et al. 10.5194/acp-10-8697-2010
- Polarimetry of Water Ice Particles Providing Insights on Grain Size and Degree of Sintering on Icy Planetary Surfaces O. Poch et al. 10.1029/2018JE005753
- Polarimetric remote sensing of atmospheric aerosols: Instruments, methodologies, results, and perspectives O. Dubovik et al. 10.1016/j.jqsrt.2018.11.024
- The DOE ARM Aerial Facility B. Schmid et al. 10.1175/BAMS-D-13-00040.1
- Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm A. Lopatin et al. 10.5194/amt-6-2065-2013
- Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations O. Dubovik et al. 10.5194/amt-4-975-2011
- A new measurement approach for validating satellite-based above-cloud aerosol optical depth C. Gatebe et al. 10.5194/amt-14-1405-2021
1 citations as recorded by crossref.
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