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Utilizing Model Interoperability and Spatial Cloud Computing to Enable the Computability of Dust Storm Forecasting

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dc.contributor.advisor Yang, Chaowei
dc.contributor.author Huang, Qunying
dc.creator Huang, Qunying
dc.date 2011-07-28
dc.date.accessioned 2011-08-22T17:31:10Z
dc.date.available NO_RESTRICTION en_US
dc.date.available 2011-08-22T17:31:10Z
dc.date.issued 2011-08-22
dc.identifier.uri https://hdl.handle.net/1920/6596
dc.description.abstract Both environmental and human challenges, such as deforestation and desertification, require scientifically sound simulations of physical phenomena to better understand the past and to better predict future trends for improved decision support. However, many scientific problems cannot be processed using a single computer and require computing capability from many distributed computers. The problems should be solved by interdisciplinary efforts instead of by a single science community. Using dust storm forecasting as a case study, I investigate how interoperability technologies can facilitate data access service, model input integration, model coupling, and output utilization and dissemination. Additionally, the research will explore how to utilize spatiotemporal patterns of phenomena, models and computing resources to improve the performance of dust storm forecasting. Finally, I adopt and optimize cloud computing platforms through spatiotemporal patterns to enable the computability of dust storm forecasting over a large area with high resolution to support geospatial decision-making. This research eventually reduce the execution time and communication for two heterogeneous models, Eta-8bin 10 and NMM- dust storm models by enabling the interoperable and loosely-coupling execution of the two models.
dc.language.iso en_US en_US
dc.subject Cloud Computing en_US
dc.subject High Performance Computing en_US
dc.subject Nested Models en_US
dc.subject Spatiotemporal Principles en_US
dc.subject Model Interoperability en_US
dc.subject Dust Strom Simulation en_US
dc.title Utilizing Model Interoperability and Spatial Cloud Computing to Enable the Computability of Dust Storm Forecasting en_US
dc.type Dissertation en
thesis.degree.name PhD in Earth Systems and Geoinformation Sciences en_US
thesis.degree.level Doctoral en
thesis.degree.discipline Earth Systems and Geoinformation Sciences en
thesis.degree.grantor George Mason University en


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