CloudCast: Cloud Computing for Short-Term Weather Forecasts

被引：5

作者：

Krishnappa, Dilip Kumar ^{[1
]}

Irwin, David ^{[1
]}

Lyons, Eric ^{[2
]}

Zink, Michael ^{[1
]}

机构：

[1] Univ Massachusetts Amherst, Elect & Comp Engn Dept, Amherst, MA USA

[2] Univ Massachusetts Amherst, Collaborat Adapt Sensing Atmosphere CASA Org, Amherst, MA USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2013年 / 15卷 / 04期

基金：

美国国家科学基金会;

关键词：

Amazon EC2; cloud computing; measurements; Nowcasting; performance analysis; scientific computing;

D O I：

10.1109/MCSE.2013.43

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

CloudCast provides personalized short-term weather forecasts to clients based on their current location using cloud services, generating accurate forecasts tens of minutes in the future for small areas. Results show that it takes less than two minutes from the start of data sampling to deliver a 15-minute forecast to a client.

引用

页码：30 / 37

页数：8

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