4.4 Article

Big Ensemble Data Assimilation in Numerical Weather Prediction

期刊

COMPUTER
卷 48, 期 11, 页码 15-21

出版社

IEEE COMPUTER SOC
DOI: 10.1109/MC.2015.332

关键词

-

资金

  1. CREST, the Japan Science and Technology Agency
  2. Japan Aerospace Exploration Agency (JAXA) Precipitation Measuring Mission (PMM)
  3. Japan's FLAGSHIP Project

向作者/读者索取更多资源

Powerful computers and advanced sensors enable precise simulations of the atmospheric state, requiring data assimilation to connect simulations to real-world sensor data using statistical mathematics and dynamical systems theory. Numerical weather prediction (NWP) thus enables simulations that more closely represent the real world. The authors explore the NWP-associated challenges in managing big data through supercomputing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据