The digital revolution of Earth-system science

被引：111

作者：

Bauer, Peter ^{[1
]}

Dueben, Peter D. ^{[1
]}

Hoefler, Torsten ^{[2
]}

Quintino, Tiago ^{[3
]}

Schulthess, Thomas C. ^{[4
]}

Wedi, Nils P. ^{[1
]}

机构：

[1] ECMWF, Res Dept, Reading, England

[2] Swiss Fed Inst Technol, Comp Sci Dept, Zurich, Switzerland

[3] ECMWF, Forecast Dept, Reading, England

[4] Swiss Fed Inst Technol, CSCS, Lugano, Switzerland

来源：

NATURE COMPUTATIONAL SCIENCE | 2021年 / 1卷 / 02期

基金：

美国国家航空航天局;

关键词：

WEATHER PREDICTION; RADIATIVE-TRANSFER; ATMOSPHERIC MODEL; DATA ASSIMILATION; DYNAMICAL CORE; CLIMATE MODELS; PERFORMANCE; CONVERGENCE; SCALABILITY; CHALLENGES;

D O I：

10.1038/s43588-021-00023-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Computational science is crucial for delivering reliable weather and climate predictions. However, despite decades of high-performance computing experience, there is serious concern about the sustainability of this application in the post-Moore/Dennard era. Here, we discuss the present limitations in the field and propose the design of a novel infrastructure that is scalable and more adaptable to future, yet unknown computing architectures.

引用

页码：104 / 113

页数：10

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