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AMT | Articles | Volume 12, issue 1
Atmos. Meas. Tech., 12, 675–689, 2019
https://doi.org/10.5194/amt-12-675-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 675–689, 2019
https://doi.org/10.5194/amt-12-675-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 30 Jan 2019

Research article | 30 Jan 2019

Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters

James A. Limbacher and Ralph A. Kahn
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Introducing the 4.4 km Spatial Resolution MISR Aerosol Product
Michael J. Garay, Marcin L. Witek, Ralph A. Kahn, Felix C. Seidel, James A. Limbacher, Michael A. Bull, David J. Diner, Earl G. Hansen, Olga V. Kalashnikova, Huikyo Lee, Abigail M. Nastan, and Yan Yu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-340,https://doi.org/10.5194/amt-2019-340, 2019
Manuscript under review for AMT
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Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley
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Updated MISR dark water research aerosol retrieval algorithm – Part 1: Coupled 1.1 km ocean surface chlorophyll a retrievals with empirical calibration corrections
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Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Atmos. Meas. Tech., 12, 5381–5389, https://doi.org/10.5194/amt-12-5381-2019,https://doi.org/10.5194/amt-12-5381-2019, 2019
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Atmos. Meas. Tech., 12, 5101–5118, https://doi.org/10.5194/amt-12-5101-2019,https://doi.org/10.5194/amt-12-5101-2019, 2019
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3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)?
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Cited articles  
Ahmad, Z., Franz, B., McClain C., Kwiatkowska, E., Werdell, J., Shettle, E., and Holben, B.: New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans, Appl. Optics, 49, 5545–5560, 2010. 
Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M., Jusem, J. C., Smith, D. K., and Gombos, D.: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, B. Am. Meteorol. Soc., 92, 157–174, https://doi.org/10.1175/2010BAMS2946.1, 2011. 
Bailey, S., Franz, B., and Werdell, J.: Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing, Opt. Express, 18, 7521–7527, 2010. 
Bauer, J., Cai, W.-J., Raymond, P., Bianchi, T., Hopkinson, C., and Regnier, P.: The changing carbon cycle of the coastal ocean, Nature, 504, 61–70, https://doi.org/10.1038/nature12857, 2013. 
Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. Cy., 19, GB1006, https://doi.org/10.1029/2004GB002299, 2005. 
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Coastal waters serve as transport pathways to the ocean for all runoff from terrestrial sources; they are also some of the most biologically productive waters on the planet. Here, we retrieve atmospheric aerosol loading (and properties) from the space-based instrument MISR over all types of water (dark, coastal, etc). Results from the MISR research aerosol retrieval algorithm agree well with validation, indicating that MISR may add value to commonly used ocean color imagers such as MODIS.
Coastal waters serve as transport pathways to the ocean for all runoff from terrestrial sources;...
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