Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL087776 |
A Machine Learning-Based Global Atmospheric Forecast Model | |
Szunyogh, Istvan1; Arcomano, Troy1; Pathak, Jaideep2; Wikner, Alexander2; Hunt, Brian3; Ott, Edward2,4 | |
2020-05-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2020 |
卷号 | 47期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The paper investigates the applicability of machine learning (ML) to weather prediction by building a reservoir computing-based, low-resolution, global prediction model. The model is designed to take advantage of the massively parallel architecture of a modern supercomputer. The forecast performance of the model is assessed by comparing it to that of daily climatology, persistence, and a numerical (physics-based) model of identical prognostic state variables and resolution. Hourly resolution 20-day forecasts with the model predict realistic values of the atmospheric state variables at all forecast times for the entire globe. The ML model outperforms both climatology and persistence for the first three forecast days in the midlatitudes, but not in the tropics. Compared to the numerical model, the ML model performs best for the state variables most affected by parameterized processes in the numerical model. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000536639500039 |
WOS关键词 | GENERAL-CIRCULATION MODELS ; WEATHER ; COMPLEXITY |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/279905 |
专题 | 气候变化 |
作者单位 | 1.Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA; 2.Univ Maryland, Dept Phys, College Pk, MD 20742 USA; 3.Univ Maryland, Dept Math, College Pk, MD 20742 USA; 4.Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA |
推荐引用方式 GB/T 7714 | Szunyogh, Istvan,Arcomano, Troy,Pathak, Jaideep,et al. A Machine Learning-Based Global Atmospheric Forecast Model[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(9). |
APA | Szunyogh, Istvan,Arcomano, Troy,Pathak, Jaideep,Wikner, Alexander,Hunt, Brian,&Ott, Edward.(2020).A Machine Learning-Based Global Atmospheric Forecast Model.GEOPHYSICAL RESEARCH LETTERS,47(9). |
MLA | Szunyogh, Istvan,et al."A Machine Learning-Based Global Atmospheric Forecast Model".GEOPHYSICAL RESEARCH LETTERS 47.9(2020). |
条目包含的文件 | 条目无相关文件。 |
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