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dc.contributor.authorShi, Mingjie
dc.contributor.authorYang, Zong-Liang
dc.contributor.authorStenchikov, Georgiy L.
dc.contributor.authorParajuli, Sagar P.
dc.contributor.authorTao, Weichun
dc.contributor.authorKalenderski, Stoitchko
dc.date.accessioned2016-11-03T08:32:28Z
dc.date.available2016-11-03T08:32:28Z
dc.date.issued2016-01-11
dc.identifier.citationShi M, Yang Z-L, Stenchikov GL, Parajuli SP, Tao W, et al. (2016) Quantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula. Environmental Modelling & Software 78: 106–119. Available: http://dx.doi.org/10.1016/j.envsoft.2015.12.021.
dc.identifier.issn1364-8152
dc.identifier.doi10.1016/j.envsoft.2015.12.021
dc.identifier.urihttp://hdl.handle.net/10754/621575
dc.description.abstractThis study evaluates the spatiotemporal variability of dust emission in the Arabian Peninsula and quantifies the emission sensitivity to the land-cover heterogeneity by using the Community Land Model version 4 (CLM43) at three different spatial resolutions. The land-cover heterogeneity is represented by the CLM4-default plant function types (PFTs) and the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover types, respectively, at different grids. We area-average surface vegetation data and use the default nearest neighbor method to interpolate meteorological variables. We find that using MODIS data leads to a slightly higher coverage of vegetated land than the default PFT data; the former also gives more dust emission than the latter at 25- and 50-km grids as the default PFT data have more gridcells favoring less dust emission. The research highlights the importance of using proper data-processing methods or dust emission thresholds to preserve the dust emission accuracy in land models. © 2016 Elsevier Ltd.
dc.description.sponsorshipThis work was funded by a KAUST grant entitled "Refinement of Dust Entrainment and Transport Dynamics for Input into the Next Generation Coupled Land-Atmosphere Models." The computations were performed at the Texas Advanced Computing Center. The authors appreciate valuable suggestions from Dr. Charles S. Zender, Dr. Natalie M. Mahowald, and Dr. Qinjian Jin. The authors would like to acknowledge the editorial assistance from Patricia A. Bobeck. Author contributions: M.S., Z.-L.Y., and G.L.S designed the research; M.S. performed the research; M.S., S.P.P., W.T., and S.K. processed the data, and M.S. and Z.-L.Y. wrote the paper.
dc.publisherElsevier BV
dc.subjectCLM4
dc.subjectDust emission
dc.subjectModel resolution
dc.subjectThe Arabian Peninsula
dc.subjectThe DEAD model
dc.subjectVegetation cover fraction
dc.titleQuantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalEnvironmental Modelling & Software
dc.contributor.institutionDepartment of Geological Sciences, Center for Integrated Earth System Science, The John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, United States
dc.contributor.institutionUCLA-JIFRESSE, 607 Charles E Young Drive East, Young Hall, Los Angeles, CA, United States
dc.contributor.institutionPolicy Research Center of Environment and Economy, Ministry of Environment Protection, #1 Yuhui South Road, Chaoyang District, Beijing, China
kaust.personStenchikov, Georgiy L.
kaust.personTao, Weichun
kaust.personKalenderski, Stoitchko
dc.date.published-online2016-01-11
dc.date.published-print2016-04


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