Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020635 |
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
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
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 |
推荐引用方式 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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