Both environmental and human challenges, such as natural disasters,
require scientifically sound simulations of physical phenomena to
better understand the past and predict future trends for improved
decision support. However, such simulations pose great computing
challenges to both Earth and computer sciences. This book addresses
those challenges through a series of strategies. Adaptively-coupled
nested models are used to resolve the computational challenges and
enable the computability of dust storm forecasting by dividing the
large geographical area into multiple subdomains with much small
area. Cloud computing platforms are adopted and optimized through
spatiotemporal patterns to support loosely-coupled nested model
execution. This book also investigates and utilizes
interoperability technologies to facilitate data access, model
input integration, model coupling, and output dissemination and
utilization. The book provides a guide to address computing and
model interoperability issues that arise when performing scientific
model simulation.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
June 2012 |
First published: |
June 2012 |
Authors: |
Qunying Huang
|
Dimensions: |
229 x 152 x 7mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
120 |
ISBN-13: |
978-3-659-15477-5 |
Categories: |
Books >
Earth & environment >
Earth sciences >
General
|
LSN: |
3-659-15477-6 |
Barcode: |
9783659154775 |
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