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Modeling the generation, transport, ...

University of Colorado at Boulder., Astrophysical and Planetary Sciences.

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Modeling the generation, transport, and microphysical processes of the sea salt aerosol: Mass loading and optical thickness comparisons in a three-dimensional model.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling the generation, transport, and microphysical processes of the sea salt aerosol: Mass loading and optical thickness comparisons in a three-dimensional model./
作者:	Madry, William Lansing.
面頁冊數:	123 p.
附註:	Adviser: Owen B. Toon.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Atmospheric Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3354611
ISBN:	9781109116984

Modeling the generation, transport, and microphysical processes of the sea salt aerosol: Mass loading and optical thickness comparisons in a three-dimensional model.
Madry, William Lansing.

Modeling the generation, transport, and microphysical processes of the sea salt aerosol: Mass loading and optical thickness comparisons in a three-dimensional model. - 123 p.

Adviser: Owen B. Toon.

Thesis (Ph.D.)--University of Colorado at Boulder, 2009.

We simulate the generation, transport, and removal of the sea salt aerosol using a three-dimensional microphysical model, driven by assimilated meteorology for the years 1995 and 2006. Global in coverage, our model provides us with bin-resolved sea salt aerosol number concentrations at a horizontal resolution of &sim;1.875°. Vertically, our model is divided into 28 pressure layers describing the troposphere and stratosphere, with the lowest model layer being &sim;100m thick. Our model accounts for aerosol generation (flux), transport, and removal, with special consideration given to the hygroscopic nature of sea salt aerosol. For the 1995 simulation, we compare our modeled sea salt aerosol surface mass concentration to in situ mass data from collection sites scattered around the world. For the 2006 simulation, we treat our modeled sea salt aerosol as an independent data set, and compare our modeled aerosol optical thickness to several statistical models provided by field research. Current literature provides many sea salt source functions with a great variety of driving parameters, particle sizes, and effective ranges. We find that the chosen source function plays a very strong role in the success of our model. We modify various wind-driven source functions through the introduction of the more physically meaningful driving parameter of surface stress, and also explore the application of a Weibull probability distribution function to the spatially- and temporally-averaged values reported in our assimilated meteorology. We also explore the proper synthesis of a surface source aerosol into the boundary layer of our model. We find that, due to the strongly non-linear nature of the sea salt source function, capturing the variability of the source functions' driving parameters greatly enhances our model results. Our model results suggest that sea salt aerosol transport plays a role in localized surface layer and column loading. We find that sea salt contributes a negligible portion of the aerosol optical thickness in regions influenced by anthropogenic and other natural aerosols, but that sea salt dominates aerosol optical thickness in remote areas far from any other aerosol source. This pattern frustrates attempts to validate model results due to the scarcity of in situ data from remote ocean locations. Additionally, the region of greatest sea salt loading, corresponding to the Roaring Forties, suffers from persistent cloud cover, limiting the effectiveness of satellite data. Ultimately, we find that the optical thickness of sea salt aerosol follows the square of surface wind speed over the ocean, consistent with observations in the field.

ISBN: 9781109116984Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Modeling the generation, transport, and microphysical processes of the sea salt aerosol: Mass loading and optical thickness comparisons in a three-dimensional model.
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