Quantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula

Handle URI:
http://hdl.handle.net/10754/621575
Title:
Quantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula
Authors:
Shi, Mingjie; Yang, Zong-Liang; Stenchikov, Georgiy L. ( 0000-0001-9033-4925 ) ; Parajuli, Sagar P.; Tao, Weichun ( 0000-0002-3382-4036 ) ; Kalenderski, Stoitchko
Abstract:
This 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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Shi 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.
Publisher:
Elsevier BV
Journal:
Environmental Modelling & Software
Issue Date:
11-Jan-2016
DOI:
10.1016/j.envsoft.2015.12.021
Type:
Article
ISSN:
1364-8152
Sponsors:
This 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.
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorShi, Mingjieen
dc.contributor.authorYang, Zong-Liangen
dc.contributor.authorStenchikov, Georgiy L.en
dc.contributor.authorParajuli, Sagar P.en
dc.contributor.authorTao, Weichunen
dc.contributor.authorKalenderski, Stoitchkoen
dc.date.accessioned2016-11-03T08:32:28Z-
dc.date.available2016-11-03T08:32:28Z-
dc.date.issued2016-01-11en
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.en
dc.identifier.issn1364-8152en
dc.identifier.doi10.1016/j.envsoft.2015.12.021en
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.en
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.en
dc.publisherElsevier BVen
dc.subjectCLM4en
dc.subjectDust emissionen
dc.subjectModel resolutionen
dc.subjectThe Arabian Peninsulaen
dc.subjectThe DEAD modelen
dc.subjectVegetation cover fractionen
dc.titleQuantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsulaen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalEnvironmental Modelling & Softwareen
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 Statesen
dc.contributor.institutionUCLA-JIFRESSE, 607 Charles E Young Drive East, Young Hall, Los Angeles, CA, United Statesen
dc.contributor.institutionPolicy Research Center of Environment and Economy, Ministry of Environment Protection, #1 Yuhui South Road, Chaoyang District, Beijing, Chinaen
kaust.authorStenchikov, Georgiy L.en
kaust.authorTao, Weichunen
kaust.authorKalenderski, Stoitchkoen
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