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Modeling Volcanic Ash and Sulfur Dio...
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Egan, Sean D.
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Modeling Volcanic Ash and Sulfur Dioxide with the Weather Research Forecasting with Chemistry (WRF-Chem) Model.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling Volcanic Ash and Sulfur Dioxide with the Weather Research Forecasting with Chemistry (WRF-Chem) Model./
Author:
Egan, Sean D.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
184 p.
Notes:
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Contained By:
Dissertations Abstracts International81-06B.
Subject:
Atmospheric chemistry. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27548424
ISBN:
9781392541661
Modeling Volcanic Ash and Sulfur Dioxide with the Weather Research Forecasting with Chemistry (WRF-Chem) Model.
Egan, Sean D.
Modeling Volcanic Ash and Sulfur Dioxide with the Weather Research Forecasting with Chemistry (WRF-Chem) Model.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 184 p.
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Thesis (Ph.D.)--University of Alaska Fairbanks, 2019.
This item must not be sold to any third party vendors.
The Weather Research Forecasting with Chemistry (WRF-Chem) model is capable of modeling volcanic emissions of ash, sulfur dioxide and water vapor. Here, it is applied to eruptions from three volcanoes: the 2009 eruption of Kasatochi Volcano in Alaska, the 2010 eruption of Eyjafjallajokull in Iceland and the 2019 eruption of Raikoke in the Kurile Islands. WRF-Chem's ability to model volcanic emissions dispersion is validated through comparison of model output to remote sensing, in situ and field measurements. A sensitivity of the model to modeled plume height is discussed. This work also modifies the base WRF-Chem code in three ways and studies the effects of these modifications. First, volcanic ash aggregation parameterizations are added covering three modes of particle collisions through Brownian motion, differential settling and shear. Second, water vapor emissions from volcanic eruptions are added and coupled to the new aggregation scheme. The effects of these changes are assessed and found to produce volcanic ash concentrations in agreement with in situ measurements of plume concentrations and field measurements of tephra fallout. Third, the model is adapted to include multiple model initializations such that each is perturbed by selecting between two volcanic ash particle sizes and five initial plume heights. This modified WRF-Chem is nested in an application program interface that enables a new, automated, near real-time capability. This capability is assessed and the feasibility of its use as an augmenting tool to current operational VATD models is commented upon.
ISBN: 9781392541661Subjects--Topical Terms:
544140
Atmospheric chemistry.
Subjects--Index Terms:
Airborne hazards
Modeling Volcanic Ash and Sulfur Dioxide with the Weather Research Forecasting with Chemistry (WRF-Chem) Model.
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The Weather Research Forecasting with Chemistry (WRF-Chem) model is capable of modeling volcanic emissions of ash, sulfur dioxide and water vapor. Here, it is applied to eruptions from three volcanoes: the 2009 eruption of Kasatochi Volcano in Alaska, the 2010 eruption of Eyjafjallajokull in Iceland and the 2019 eruption of Raikoke in the Kurile Islands. WRF-Chem's ability to model volcanic emissions dispersion is validated through comparison of model output to remote sensing, in situ and field measurements. A sensitivity of the model to modeled plume height is discussed. This work also modifies the base WRF-Chem code in three ways and studies the effects of these modifications. First, volcanic ash aggregation parameterizations are added covering three modes of particle collisions through Brownian motion, differential settling and shear. Second, water vapor emissions from volcanic eruptions are added and coupled to the new aggregation scheme. The effects of these changes are assessed and found to produce volcanic ash concentrations in agreement with in situ measurements of plume concentrations and field measurements of tephra fallout. Third, the model is adapted to include multiple model initializations such that each is perturbed by selecting between two volcanic ash particle sizes and five initial plume heights. This modified WRF-Chem is nested in an application program interface that enables a new, automated, near real-time capability. This capability is assessed and the feasibility of its use as an augmenting tool to current operational VATD models is commented upon.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27548424
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