GSTDTAP  > 资源环境科学
DOI10.1002/2017WR020635
Similarity Assessment of Land Surface Model Outputs in the North American Land Data Assimilation System
Kumar, Sujay V.1; Wang, Shugong1,2; Mocko, David M.1,2; Peters-Lidard, Christa D.3; Xia, Youlong4
2017-11-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:11
文章类型Article
语种英语
国家USA
英文摘要

Multimodel ensembles are often used to produce ensemble mean estimates that tend to have increased simulation skill over any individual model output. If multimodel outputs are too similar, an individual LSM would add little additional information to the multimodel ensemble, whereas if the models are too dissimilar, it may be indicative of systematic errors in their formulations or configurations. The article presents a formal similarity assessment of the North American Land Data Assimilation System (NLDAS) multimodel ensemble outputs to assess their utility to the ensemble, using a confirmatory factor analysis. Outputs from four NLDAS Phase 2 models currently running in operations at NOAA/NCEP and four new/upgraded models that are under consideration for the next phase of NLDAS are employed in this study. The results show that the runoff estimates from the LSMs were most dissimilar whereas the models showed greater similarity for root zone soil moisture, snow water equivalent, and terrestrial water storage. Generally, the NLDAS operational models showed weaker association with the common factor of the ensemble and the newer versions of the LSMs showed stronger association with the common factor, with the model similarity increasing at longer time scales. Trade-offs between the similarity metrics and accuracy measures indicated that the NLDAS operational models demonstrate a larger span in the similarity-accuracy space compared to the new LSMs. The results of the article indicate that simultaneous consideration of model similarity and accuracy at the relevant time scales is necessary in the development of multimodel ensemble.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000418736700016
WOS关键词GENERAL-CIRCULATION MODELS ; RESEARCH NLDAS-2 SYSTEMS ; CATCHMENT-BASED APPROACH ; BASIN-SCALE ASSESSMENT ; NATIONAL CENTERS ; MULTIMODEL ENSEMBLES ; INFORMATION-SYSTEM ; CLIMATE-CHANGE ; UNITED-STATES ; WATER
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
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/20092
专题资源环境科学
作者单位1.NASA, Hydrol Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
2.Sci Applicat Int Corp, Mclean, VA USA;
3.NASA, Earth Sci Div, Goddard Space Flight Ctr, Greenbelt, MD USA;
4.NCEP, Environm Modeling Ctr, IM Syst Grp, College Pk, MD USA
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GB/T 7714
Kumar, Sujay V.,Wang, Shugong,Mocko, David M.,et al. Similarity Assessment of Land Surface Model Outputs in the North American Land Data Assimilation System[J]. WATER RESOURCES RESEARCH,2017,53(11).
APA Kumar, Sujay V.,Wang, Shugong,Mocko, David M.,Peters-Lidard, Christa D.,&Xia, Youlong.(2017).Similarity Assessment of Land Surface Model Outputs in the North American Land Data Assimilation System.WATER RESOURCES RESEARCH,53(11).
MLA Kumar, Sujay V.,et al."Similarity Assessment of Land Surface Model Outputs in the North American Land Data Assimilation System".WATER RESOURCES RESEARCH 53.11(2017).
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