Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0705.1 |
How Accurate Are Modern Atmospheric Reanalyses for the Data-Sparse Tibetan Plateau Region? | |
Bao, Xinghua1; Zhang, Fuqing2,3 | |
2019-11-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:21页码:7153-7172 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | More than 6000 independent radiosonde observations from three major Tibetan Plateau experiments during the warm seasons (May-August) of 1998, 2008, and 2015-16 are used to assess the quality of four leading modern atmospheric reanalysis products (CFSR/CFSv2, ERA-Interim, JRA-55, and MERRA-2), and the potential impact of satellite data changes on the quality of these reanalyses in the troposphere over this data-sparse region. Although these reanalyses can reproduce reasonably well the overall mean temperature, specific humidity, and horizontal wind profiles against the benchmark independent sounding observations, they have nonnegligible biases that can be potentially bigger than the analysis-simulated mean regional climate trends over this region. The mean biases and mean root-mean-square errors of winds, temperature, and specific humidity from almost all reanalyses are reduced from 1998 to the two later experiment periods. There are also considerable differences in almost all variables across different reanalysis products, though these differences also become smaller during the 2008 and 2015-16 experiments, in particular for the temperature fields. The enormous increase in the volume and quality of satellite observations assimilated into reanalysis systems is likely the primary reason for the improved quality of the reanalyses during the later field experiment periods. Besides differences in the forecast models and data assimilation methodology, the differences in performance between different reanalyses during different field experiment periods may also be contributed by differences in assimilated information (e.g., observation input sources, selected channels for a given satellite sensor, quality-control methods). |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000496227000001 |
WOS关键词 | STRATOSPHERIC WATER-VAPOR ; LOW-FREQUENCY VARIABILITY ; SURFACE AIR-TEMPERATURE ; ERA-INTERIM ; VAISALA RS80 ; NCEP-CFSR ; TRENDS ; PRECIPITATION ; ASSIMILATION ; HUMIDITY |
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/225619 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China; 2.Penn State Univ, Ctr Adv Data Assimilat & Predictabil Tech, State Coll, PA USA; 3.Penn State Univ, Dept Meteorol & Atmospher Sci, State Coll, PA USA |
推荐引用方式 GB/T 7714 | Bao, Xinghua,Zhang, Fuqing. How Accurate Are Modern Atmospheric Reanalyses for the Data-Sparse Tibetan Plateau Region?[J]. JOURNAL OF CLIMATE,2019,32(21):7153-7172. |
APA | Bao, Xinghua,&Zhang, Fuqing.(2019).How Accurate Are Modern Atmospheric Reanalyses for the Data-Sparse Tibetan Plateau Region?.JOURNAL OF CLIMATE,32(21),7153-7172. |
MLA | Bao, Xinghua,et al."How Accurate Are Modern Atmospheric Reanalyses for the Data-Sparse Tibetan Plateau Region?".JOURNAL OF CLIMATE 32.21(2019):7153-7172. |
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