Service-oriented environments for dynamically, interacting with mesoscale weather

被引：54

作者：

Droegemeier, KK ^{[1
]}

Brewster, K

Xue, M

Weber, D

Gannon, D

Plale, B

Reed, D

Ramakrishnan, L

Alameda, J

Wilhelmson, R

Baltzer, T

Domenico, B

Murray, D

Ramamurthy, M

Wilson, A

Clark, R

Yalda, S

Graves, S

Ramachandran, R

Rushing, J

Joseph, E

Morris, V

机构：

[1] Univ Oklahoma, Norman, OK 73019 USA

[2] Indiana Univ, Dept Comp Sci, Bloomington, IN 47405 USA

[3] Univ N Carolina, Renaissance Comp Inst, Chapel Hill, NC 27515 USA

[4] Univ Illinois, US Natl Ctr Supercomp Applicat, Middleware Div, Integrated CyberSci Directorate, Urbana, IL USA

[5] Millersville Univ Pennsylvania, Dept Earth Sci, Millersville, PA 17551 USA

[6] Univ Alabama, Informat Technol & Syst Ctr, Huntsville, AL 35899 USA

[7] Howard Univ, Dept Phys & Astron, Washington, DC 20059 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2005年 / 7卷 / 06期

基金：

美国国家科学基金会; 美国国家航空航天局; 美国海洋和大气管理局;

关键词：

D O I：

10.1109/MCSE.2005.124

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Within a decade after John von Neumann and colleagues conducted the first experimental weather forecast on the ENIAC computer in the late 1940s, numerical models of the atmosphere become the foundation of modem-day weather forecasting and one of the driving application areas in computer science. This article describes research that is enabling a major shift toward dynamically adaptive responses to rapidly changing environmental conditions.

引用

页码：12 / 29

页数：18

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