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Evaluation of High Mountain Asia‐Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper‐Resolution Terrestrial Modeling System
dc.contributor.authorXue, Yuan
dc.contributor.authorHouser, Paul R.
dc.contributor.authorMaggioni, Viviana
dc.contributor.authorMei, Yiwen
dc.contributor.authorKumar, Sujay V.
dc.contributor.authorYoon, Yeosang
dc.date.accessioned2021-05-12T17:21:52Z
dc.date.available2022-05-12 13:21:50en
dc.date.available2021-05-12T17:21:52Z
dc.date.issued2021-04
dc.identifier.citationXue, Yuan; Houser, Paul R.; Maggioni, Viviana; Mei, Yiwen; Kumar, Sujay V.; Yoon, Yeosang (2021). "Evaluation of High Mountain Asia‐Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper‐Resolution Terrestrial Modeling System." Journal of Geophysical Research: Atmospheres 126(8): n/a-n/a.
dc.identifier.issn2169-897X
dc.identifier.issn2169-8996
dc.identifier.urihttps://hdl.handle.net/2027.42/167423
dc.description.abstractThis first paper of the two‐part series focuses on demonstrating the accuracy of a hyper‐resolution, offline terrestrial modeling system used for the High Mountain Asia (HMA) region. To this end, this study systematically evaluates four sets of model simulations at point scale, basin scale, and domain scale obtained from different spatial resolutions including 0.01° (∼1‐km) and 0.25° (∼25‐km). The assessment is conducted via comparisons against ground‐based observations and satellite‐derived reference products. The key variables of interest include surface net shortwave radiation, surface net longwave radiation, skin temperature, near‐surface soil temperature, snow depth, snow water equivalent, and total runoff. In the evaluation against ground‐based measurements, the superiority of the 0.01° estimates are mostly demonstrated across relatively complex terrain. Specifically, hyper‐resolution modeling improves the skill in meteorological forcing estimates (except precipitation) by 9% relative to coarse‐resolution estimates. The model forced by downscaled forcings in its entirety yields the highest skill in model output states as well as precipitation, which improves the skill obtained by coarse‐resolution estimates by 7%. These findings, on one hand, corroborate the importance of employing the hyper‐resolution versus coarse‐resolution modeling in areas characterized by complex terrain. On the other hand, by evaluating four sets of model simulations forced with different precipitation products, this study emphasizes the importance of accurate hyper‐resolution precipitation products to drive model simulations.Key PointsThe skill of a hyper‐resolution, off‐line terrestrial modeling system used for the High Mountain Asia region is presentedThe study emphasizes the importance of using hyper‐resolution versus coarse‐resolution modeling in areas characterized by complex terrainThe study emphasizes the importance of an accurate hyper‐resolution precipitation product used to drive model simulations
dc.publisherWiley Periodicals, Inc.
dc.publisherUniversitätsbibliothek der Leuphana Universität Lüneburg
dc.subject.otherNoah‐MP
dc.subject.otherdownscaling
dc.subject.otherHigh Mountain Asia
dc.subject.otherhyper‐resolution modeling
dc.titleEvaluation of High Mountain Asia‐Land Data Assimilation System (Version 1) From 2003 to 2016, Part I: A Hyper‐Resolution Terrestrial Modeling System
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelAtmospheric and Oceanic Sciences
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167423/1/jgrd56955_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167423/2/jgrd56955.pdf
dc.identifier.doi10.1029/2020JD034131
dc.identifier.sourceJournal of Geophysical Research: Atmospheres
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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