Systematic Errors in Weather and Climate Models Challenges and Opportunities in Complex Coupled Modeling Systems

被引：4

作者：

Frassoni, Ariane ^{[1
]}

Reynolds, Carolyn ^{[2
]}

Wedi, Nils ^{[3
]}

Ben Bouallegue, Zied ^{[3
]}

Caltabiano, Antonio Caetano Vaz ^{[4
]}

Casati, Barbara ^{[5
]}

Christophersen, Jonathan A. ^{[2
]}

Coelho, Caio A. S. ^{[1
]}

De Falco, Chiara ^{[6
,7
]}

Doyle, James D. ^{[2
]}

Fernandes, Lais G. ^{[8
]}

Forbes, Richard ^{[3
]}

Janiga, Matthew A. ^{[2
]}

Klocke, Daniel ^{[9
]}

Magnusson, Linus ^{[3
]}

McTaggart-Cowan, Ron ^{[5
]}

Pakdaman, Morteza ^{[10
]}

Rushley, Stephanie S. ^{[2
]}

Verhoef, Anne ^{[11
]}

Yang, Fanglin ^{[12
]}

Zaengl, Gunther ^{[13
]}

机构：

[1] Brazilian Natl Inst Space Res, Ctr Weather Forecasting & Climate Studies, Cachoeira Paulista, SP, Brazil

[2] US Naval Res Lab, Monterey, CA USA

[3] European Ctr Medium Range Weather Forecasts, Reading, England

[4] World Climate Res Programme, Geneva, Switzerland

[5] Environm & Climate Change Canada, Dorval, PQ, Canada

[6] NORCE Norwegian Res Ctr, Bergen, Norway

[7] Bjerknes Ctr Climate Res, Bergen, Norway

[8] Portland State Univ, Portland, OR USA

[9] Max Planck Inst Meteorol, Hamburg, Germany

[10] Res Inst Meteorol & Atmospher Sci, Climate Res Inst, Mashhad, Iran

[11] Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England

[12] Natl Ctr Environm Predict, College Pk, MD USA

[13] Deutsch Wetterdienst, Offenbach, Germany

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2023年 / 104卷 / 09期

关键词：

Climate models; Coupled models; Model errors; Model evaluation/ performance; Numerical weather prediction/forecasting;

D O I：

10.1175/BAMS-D-23-0102.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

6th WGNE Workshop on Systematic Errors in Weather and Climate Models What: Scientists, ranging from early career to highly experienced, involved in the development of weather and climate models and in the diagnosis of model errors, held an international workshop to discuss the nature, causes, and remedies of systematic errors across time scales and across Earth system modeling components. When: 31 October–4 November 2022 Where: Reading, United Kingdom © 2023 American Meteorological Society. All rights reserved.

引用

页码：E1687 / E1693

页数：7

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