Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0643.1 |
Evaluation of Six Atmospheric Reanalyses over Arctic Sea Ice from Winter to Early Summer | |
Graham, Robert M.1; Cohen, Lana1; Ritzhaupt, Nicole2; Segger, Benjamin3; Graversen, Rune G.4; Rinke, Annette3; Walden, Von P.5; Granskog, Mats A.1; Hudson, Stephen R.1 | |
2019-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:14页码:4121-4143 |
文章类型 | Article |
语种 | 英语 |
国家 | Norway; Germany; USA |
英文摘要 | This study evaluates the performance of six atmospheric reanalyses (ERA-Interim, ERA5, JRA-55, CFSv2, MERRA-2, and ASRv2) over Arctic sea ice from winter to early summer. The reanalyses are evaluated using observations from the Norwegian Young Sea Ice campaign (N-ICE2015), a 5-month ice drift in pack ice north of Svalbard. N-ICE2015 observations include surface meteorology, vertical profiles from radiosondes, as well as radiative and turbulent heat fluxes. The reanalyses simulate surface analysis variables well throughout the campaign, but have difficulties with most forecast variables. Wintertime (January-March) correlation coefficients between the reanalyses and observations are above 0.90 for the surface pressure, 2-m temperature, total column water vapor, and downward longwave flux. However, all reanalyses have a positive wintertime 2-m temperature bias, ranging from 1 degrees to 4 degrees C, and negative (i.e., upward) net longwave bias of 3-19 W m(-2). These biases are associated with poorly represented surface inversions and are largest during cold-stable periods. Notably, the recent ERA5 and ASRv2 datasets have some of the largest temperature and net longwave biases, respectively. During spring (April-May), reanalyses fail to simulate observed persistent cloud layers. Therefore they overestimate the net shortwave flux (5-79 W m(-2)) and underestimate the net longwave flux (8-38 W m(-2)). Promisingly, ERA5 provides the best estimates of downward radiative fluxes in spring and summer, suggesting improved forecasting of Arctic cloud cover. All reanalyses exhibit large negative (upward) residual heat flux biases during winter, and positive (downward) biases during summer. Turbulent heat fluxes over sea ice are simulated poorly in all seasons. |
英文关键词 | Atmosphere Arctic Sea ice Model evaluation performance Reanalysis data |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000472082600001 |
WOS关键词 | ECMWF FORECAST MODEL ; MIXED-PHASE CLOUDS ; BOUNDARY-LAYER ; ERA-INTERIM ; PART I ; OCEAN ; AMPLIFICATION ; SIMULATION ; THICKNESS ; BUDGET |
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/184707 |
专题 | 气候变化 |
作者单位 | 1.Norwegian Polar Res Inst, Fram Ctr, Tromso, Norway; 2.Univ Bonn, Dept Meteorol, Bonn, Germany; 3.Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Potsdam, Germany; 4.Univ Tromso, Dept Phys & Technol, Tromso, Norway; 5.Washington State Univ, Dept Civil & Environm Engn, Pullman, WA 99164 USA |
推荐引用方式 GB/T 7714 | Graham, Robert M.,Cohen, Lana,Ritzhaupt, Nicole,et al. Evaluation of Six Atmospheric Reanalyses over Arctic Sea Ice from Winter to Early Summer[J]. JOURNAL OF CLIMATE,2019,32(14):4121-4143. |
APA | Graham, Robert M..,Cohen, Lana.,Ritzhaupt, Nicole.,Segger, Benjamin.,Graversen, Rune G..,...&Hudson, Stephen R..(2019).Evaluation of Six Atmospheric Reanalyses over Arctic Sea Ice from Winter to Early Summer.JOURNAL OF CLIMATE,32(14),4121-4143. |
MLA | Graham, Robert M.,et al."Evaluation of Six Atmospheric Reanalyses over Arctic Sea Ice from Winter to Early Summer".JOURNAL OF CLIMATE 32.14(2019):4121-4143. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论