Challenges in Developing Finite-Volume Global Weather and Climate Models with Focus on Numerical Accuracy
被引:0
|
作者:
Yuanfu Xie
论文数: 0引用数: 0
h-index: 0
机构:Chinese Academy of Meteorological Sciences,State Key Laboratory of Severe Weather
Yuanfu Xie
Zilong Qin
论文数: 0引用数: 0
h-index: 0
机构:Chinese Academy of Meteorological Sciences,State Key Laboratory of Severe Weather
Zilong Qin
机构:
[1] Chinese Academy of Meteorological Sciences,State Key Laboratory of Severe Weather
[2] China Meteorological Administration,undefined
[3] Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting (Shenzhen Institute of Meteorological Innovation),undefined
global weather forecast model;
finite-volume methods;
model accuracy;
irregular spherical grids;
C-grid and Z-grid schemes;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
High-resolution global non-hydrostatic gridded dynamic models have drawn significant attention in recent years in conjunction with the rising demand for improving weather forecasting and climate predictions. By far it is still challenging to build a high-resolution gridded global model, which is required to meet numerical accuracy, dispersion relation, conservation, and computation requirements. Among these requirements, this review focuses on one significant topic—the numerical accuracy over the entire non-uniform spherical grids. The paper discusses all the topic-related challenges by comparing the schemes adopted in well-known finite-volume-based operational or research dynamical cores. It provides an overview of how these challenges are met in a summary table. The analysis and validation in this review are based on the shallow-water equation system. The conclusions can be applied to more complicated models. These challenges should be critical research topics in the future development of finite-volume global models.
机构:
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,China Meteorological Administration
Guangdong–Hong Kong–Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting (Shenzhen Institute of Meteorological Innovation)State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,China Meteorological Administration
Yuanfu XIE
Zilong QIN
论文数: 0引用数: 0
h-index: 0
机构:
Guangdong–Hong Kong–Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting (Shenzhen Institute of Meteorological Innovation)State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,China Meteorological Administration
机构:
China Meteorol Adm, State Key Lab Severe Weather, Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
Shenzhen Inst Meteorol Innovat, Guangdong Hong Kong Macao Greater Bay Area Weathe, Shenzhen 518048, Peoples R ChinaChina Meteorol Adm, State Key Lab Severe Weather, Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
Xie, Yuanfu
Qin, Zilong
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Inst Meteorol Innovat, Guangdong Hong Kong Macao Greater Bay Area Weathe, Shenzhen 518048, Peoples R ChinaChina Meteorol Adm, State Key Lab Severe Weather, Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
机构:
Univ Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, FranceUniv Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, France
Cocozza-Thivent, C.
Eymard, R.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, FranceUniv Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, France
Eymard, R.
Mercier, S.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, FranceUniv Marne La Vallee, CNRS, UMR 8050, Lab Anal & Math Appl, F-77454 Marne La Vallee 2, France
机构:
Sandia Natl Labs, Livermore, CA 94550 USA
Sandia Natl Labs, Extreme Scale Data Sci & Analyt Dept, Livermore, CA 94550 USASandia Natl Labs, Livermore, CA 94550 USA
Carlberg, Kevin
Choi, Youngsoo
论文数: 0引用数: 0
h-index: 0
机构:
Sandia Natl Labs, Livermore, CA 94550 USA
Sandia Natl Labs, Extreme Scale Data Sci & Analyt Dept, Livermore, CA 94550 USA
Lawrence Livermore Natl Lab, Berkeley, CA USASandia Natl Labs, Livermore, CA 94550 USA
Choi, Youngsoo
Sargsyan, Syuzanna
论文数: 0引用数: 0
h-index: 0
机构:
Sandia Natl Labs, Livermore, CA 94550 USA
Sandia Natl Labs, Extreme Scale Data Sci & Analyt Dept, Livermore, CA 94550 USA
Univ Washington, Seattle, WA 98195 USA
HERE Technol, Amsterdam, NetherlandsSandia Natl Labs, Livermore, CA 94550 USA