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Regional reanalysis without local data: Exploiting the downscaling paradigm
von Storch, Hans1,2; Feser, Frauke1,2; Geyer, Beate1; Klehmet, Katharina1; Li, Delei3; Rockel, Burkhardt1; Schubert-Frisius, Martina1,2; Tim, Nele4; Zorita, Eduardo1
2017-08-27
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume122Issue:16Pages:8631-8649
SubtypeArticle
AbstractThis paper demonstrates two important aspects of regional dynamical downscaling of multidecadal atmospheric reanalysis. First, that in this way skillful regional descriptions of multidecadal climate variability may be constructed in regions with little or no local data. Second, that the concept of large-scale constraining allows global downscaling, so that global reanalyses may be completed by additions of consistent detail in all regions of the world. Global reanalyses suffer from inhomogeneities. However, their large-scale componenst are mostly homogeneous; Therefore, the concept of downscaling may be applied to homogeneously complement the large-scale state of the reanalyses with regional detail-wherever the condition of homogeneity of the description of large scales is fulfilled. Technically, this can be done by dynamical downscaling using a regional or global climate model, which's large scales are constrained by spectral nudging. This approach has been developed and tested for the region of Europe, and a skillful representation of regional weather risks-in particular marine risks-was identified. We have run this system in regions with reduced or absent local data coverage, such as Central Siberia, the Bohai and Yellow Sea, Southwestern Africa, and the South Atlantic. Also, a global simulation was computed, which adds regional features to prescribed global dynamics. Our cases demonstrate that spatially detailed reconstructions of the climate state and its change in the recent three to six decades add useful supplementary information to existing observational data for midlatitude and subtropical regions of the world.
DOI10.1002/2016JD026332
Indexed BySCI
Language英语
WOS IDWOS:000416382800015
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/143290
Collection海洋环流与波动重点实验室
Affiliation1.Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany
2.Univ Hamburg, CliSAP, Hamburg, Germany
3.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
4.Univ Hamburg, Inst Geol, Hamburg, Germany
Recommended Citation
GB/T 7714
von Storch, Hans,Feser, Frauke,Geyer, Beate,et al. Regional reanalysis without local data: Exploiting the downscaling paradigm[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(16):8631-8649.
APA von Storch, Hans.,Feser, Frauke.,Geyer, Beate.,Klehmet, Katharina.,Li, Delei.,...&Zorita, Eduardo.(2017).Regional reanalysis without local data: Exploiting the downscaling paradigm.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(16),8631-8649.
MLA von Storch, Hans,et al."Regional reanalysis without local data: Exploiting the downscaling paradigm".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.16(2017):8631-8649.
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