Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-19-0199.1 |
An Assessment of NASA's GMAO MERRA-2 Reanalysis Surface Winds | |
Carvalho, D.1,2 | |
2019-12-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:23页码:8261-8281 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The quality of MERRA-2 surface wind fields was assessed by comparing them with 10 years of measurements from a wide range of surface wind observing platforms. This assessment includes a comparison of MERRA-2 global surface wind fields with the ones from its predecessor, MERRA, to assess if GMAO's latest reanalyses improved the representation of the global surface winds. At the same time, surface wind fields from other modern reanalyses-NCEP-CFSR, ERA-Interim, and JRA-55-were also included in the comparisons to evaluate MERRA-2 global surface wind fields in the context of its contemporary reanalyses. Results show that MERRA-2, CFSR, ERA-Interim, and JRA-55 show similar error metrics while MERRA consistently shows the highest errors. Thus, when compared with wind observations, the accuracy of MERRA-2 surface wind fields represents a clear improvement over its predecessor MERRA and is in line with the other contemporary reanalyses in terms of the representation of global near-surface wind fields. All reanalyses showed a tendency to underestimate ocean surface winds (particularly in the tropics) and, oppositely, to overestimate inland surface winds (except JRA-55, which showed a global tendency to underestimate the wind speeds); to represent the wind direction rotated clockwise in the Northern Hemisphere (positive bias) and anticlockwise in the Southern Hemisphere (negative bias), with the exception of JRA-55; and to show higher errors near the poles and in the ITCZ, particularly in the equatorial western coasts of Central America and Africa. However, MERRA-2 showed substantially lower wind errors in the poles when compared with the other reanalyses. |
英文关键词 | Atmosphere Wind Data assimilation Model evaluation performance Numerical weather prediction forecasting Reanalysis data |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000495702900002 |
WOS关键词 | ENERGY ; SIMULATION ; PRODUCTS ; UNCERTAINTIES ; ECMWF ; OCEAN ; WATER ; NCEP |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
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/225640 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.NASA, Global Modeling & Assimilat Off, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 2.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD 21046 USA |
推荐引用方式 GB/T 7714 | Carvalho, D.. An Assessment of NASA's GMAO MERRA-2 Reanalysis Surface Winds[J]. JOURNAL OF CLIMATE,2019,32(23):8261-8281. |
APA | Carvalho, D..(2019).An Assessment of NASA's GMAO MERRA-2 Reanalysis Surface Winds.JOURNAL OF CLIMATE,32(23),8261-8281. |
MLA | Carvalho, D.."An Assessment of NASA's GMAO MERRA-2 Reanalysis Surface Winds".JOURNAL OF CLIMATE 32.23(2019):8261-8281. |
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