Holistic Analysis of Aerosol in Littoral Environments - A Multidisciplinary University Research Initiative (ACP/AMT inter-journal SI)(ACP/AMT inter-journal SI)
Holistic Analysis of Aerosol in Littoral Environments - A Multidisciplinary University Research Initiative (ACP/AMT inter-journal SI)(ACP/AMT inter-journal SI)
Editor(s): S. D. Miller, J. C. Chiu, and B. Ruston Special issue jointly organized between Atmospheric Chemistry and Physics and Atmospheric Measurement Techniques
The Holistic Analysis of Aerosols in Littoral Environments Multidisciplinary University Research Initiative (HAALE-MURI) ACP/AMT special issue aims to advance our understanding and ability to observe and predict the complex distribution and properties of aerosol in the coastal zones. Specific foci of this ongoing 5-year (2015-2020) project are (1) the relative roles and interactions of key environmental factors influencing aerosol distributions impacting electro-optical propagation, (2) methods of characterizing the littoral zone aerosol distribution and properties via next-generation satellite observations and algorithms, and (3) how state-of-the-art data assimilation and visualization methods can exploit this information to provide representative high-resolution quantitative and qualitative analyses. This special issue will highlight progress made on these fronts at the mid-term of this project, showing examples of how traditionally disparate disciplines can provide deeper insight when considered in synergy.

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18 Jun 2020
A fast visible-wavelength 3D radiative transfer model for numerical weather prediction visualization and forward modeling
Steven Albers, Stephen M. Saleeby, Sonia Kreidenweis, Qijing Bian, Peng Xian, Zoltan Toth, Ravan Ahmadov, Eric James, and Steven D. Miller
Atmos. Meas. Tech., 13, 3235–3261, https://doi.org/10.5194/amt-13-3235-2020,https://doi.org/10.5194/amt-13-3235-2020, 2020
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02 Apr 2020
Towards objective identification and tracking of convective outflow boundaries in next-generation geostationary satellite imagery
Jason M. Apke, Kyle A. Hilburn, Steven D. Miller, and David A. Peterson
Atmos. Meas. Tech., 13, 1593–1608, https://doi.org/10.5194/amt-13-1593-2020,https://doi.org/10.5194/amt-13-1593-2020, 2020
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12 Mar 2020
Convective distribution of dust over the Arabian Peninsula: the impact of model resolution
Jennie Bukowski and Susan C. van den Heever
Atmos. Chem. Phys., 20, 2967–2986, https://doi.org/10.5194/acp-20-2967-2020,https://doi.org/10.5194/acp-20-2967-2020, 2020
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15 Jan 2020
Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters
Jeremy E. Solbrig, Steven D. Miller, Jianglong Zhang, Lewis Grasso, and Anton Kliewer
Atmos. Meas. Tech., 13, 165–190, https://doi.org/10.5194/amt-13-165-2020,https://doi.org/10.5194/amt-13-165-2020, 2020
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10 Oct 2019
Investigation of CATS aerosol products and application toward global diurnal variation of aerosols
Logan Lee, Jianglong Zhang, Jeffrey S. Reid, and John E. Yorks
Atmos. Chem. Phys., 19, 12687–12707, https://doi.org/10.5194/acp-19-12687-2019,https://doi.org/10.5194/acp-19-12687-2019, 2019
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24 Sep 2019
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A Tale of Two Dust Storms: analysis of a complex dust event in the Middle East
Steven D. Miller, Louie D. Grasso, Qijing Bian, Sonia M. Kreidenweis, Jack F. Dostalek, Jeremy E. Solbrig, Jennifer Bukowski, Susan C. van den Heever, Yi Wang, Xiaoguang Xu, Jun Wang, Annette L. Walker, Ting-Chi Wu, Milija Zupanski, Christine Chiu, and Jeffrey S. Reid
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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14 Aug 2019
The influence of simulated surface dust lofting and atmospheric loading on radiative forcing
Stephen M. Saleeby, Susan C. van den Heever, Jennie Bukowski, Annette L. Walker, Jeremy E. Solbrig, Samuel A. Atwood, Qijing Bian, Sonia M. Kreidenweis, Yi Wang, Jun Wang, and Steven D. Miller
Atmos. Chem. Phys., 19, 10279–10301, https://doi.org/10.5194/acp-19-10279-2019,https://doi.org/10.5194/acp-19-10279-2019, 2019
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20 Jun 2019
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Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space
Xiaoguang Xu, Jun Wang, Yi Wang, Jing Zeng, Omar Torres, Jeffrey S. Reid, Steven D. Miller, J. Vanderlei Martins, and Lorraine A. Remer
Atmos. Meas. Tech., 12, 3269–3288, https://doi.org/10.5194/amt-12-3269-2019,https://doi.org/10.5194/amt-12-3269-2019, 2019
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17 Jun 2019
Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band
Jianglong Zhang, Shawn L. Jaker, Jeffrey S. Reid, Steven D. Miller, Jeremy Solbrig, and Travis D. Toth
Atmos. Meas. Tech., 12, 3209–3222, https://doi.org/10.5194/amt-12-3209-2019,https://doi.org/10.5194/amt-12-3209-2019, 2019
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23 May 2019
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model
Samuel A. Atwood, Sonia M. Kreidenweis, Paul J. DeMott, Markus D. Petters, Gavin C. Cornwell, Andrew C. Martin, and Kathryn A. Moore
Atmos. Chem. Phys., 19, 6931–6947, https://doi.org/10.5194/acp-19-6931-2019,https://doi.org/10.5194/acp-19-6931-2019, 2019
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24 Jan 2018
Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products
Travis D. Toth, James R. Campbell, Jeffrey S. Reid, Jason L. Tackett, Mark A. Vaughan, Jianglong Zhang, and Jared W. Marquis
Atmos. Meas. Tech., 11, 499–514, https://doi.org/10.5194/amt-11-499-2018,https://doi.org/10.5194/amt-11-499-2018, 2018
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