{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T22:00:28Z","timestamp":1768687228265,"version":"3.49.0"},"reference-count":45,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T00:00:00Z","timestamp":1706659200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Second Tibetan Plateau Scienti\ufb01c Expedition and Research; National Key Research and Development Program of the  Ministry of Science and Technology of China","award":["2019QZKK0102; 2023YFC3706300"],"award-info":[{"award-number":["2019QZKK0102; 2023YFC3706300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The lack of observational data in Taklamakan Desert makes it very difficult to study its unique boundary layer structure. As a common means of supplementing observational data, the mesoscale boundary layer parameterization scheme in the numerical model method is difficult to capture small-scale turbulent processes, which may lead to large deviations in simulation. In order to obtain more accurate simulation data of desert atmospheric boundary layer, nested LES into WRF (WRF-LES) was configured to simulate the seasonal variations in Taklamakan Desert. By comparing LES with the conventional boundary layer parameterization scheme, the error characteristics between the two schemes are analyzed. The results show that LES exhibits superior performance in solving key atmospheric features such as small-scale processes and low-level jet streams. The simulation results in winter and summer have great uncertainty due to the boundary condition errors, respectively. LES also shows the maximum and minimum optimization degree in summer and winter, respectively, while the simulation results in spring and autumn are relatively stable. In the analysis of turbulence parameters, there are clear seasonal differences in turbulence characteristics, and the intensity of turbulence in summer is significantly higher than that in other seasons. When turbulent activity is strong, the difference in potential temperature and horizontal wind speed simulated between the two schemes is closely related to intense turbulent kinetic energy in LES. More accurate turbulence reproduced in LES leads to the better potential temperature and horizontal wind speed simulations in summer. In addition, large-scale cloud systems can lead to considerable simulation bias. Neither scheme can accurately simulate the cloud emergence process, and large differences between the two schemes occur at this point.<\/jats:p>","DOI":"10.3390\/rs16030558","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T09:56:34Z","timestamp":1706694994000},"page":"558","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Application of WRF-LES on the Simulation of Seasonal Characteristics of Atmospheric Boundary Layer Structure in Taklamakan Desert"],"prefix":"10.3390","volume":"16","author":[{"given":"Xiaoyi","family":"Xu","sequence":"first","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"given":"Yuanjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8256-005X","authenticated-orcid":false,"given":"Zhiqiu","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"given":"Jingxi","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1007\/s40333-016-0054-3","article-title":"Summer atmospheric boundary layer structure in the hinterland of Taklimakan Desert, China","volume":"8","author":"Wang","year":"2016","journal-title":"J. Arid. Land"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Xu, H., Wang, Y., and Wang, M. (2018). The performance of a scale-aware nonlocal PBL scheme for the subkilometer simulation of a deep CBL over the Taklimakan desert. Adv. Meteorol., 2018.","DOI":"10.1155\/2018\/8759594"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1002\/2014JD021796","article-title":"Climate effects of dust aerosols over East Asian arid and semiarid regions","volume":"119","author":"Huang","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.scib.2019.12.022","article-title":"Taklimakan desert carbon-sink decreases under climate change","volume":"65","author":"Yang","year":"2020","journal-title":"Sci. Bull."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.jes.2016.05.046","article-title":"Case study of dust event sources from the Gobi and Taklamakan deserts: An investigation of the horizontal evolution and topographical effect using numerical modeling and remote sensing","volume":"56","author":"Fan","year":"2017","journal-title":"J. Environ. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.atmosres.2018.12.006","article-title":"Modeling study on three-dimensional distribution of dust aerosols during a dust storm over the Tarim Basin, Northwest China","volume":"218","author":"Meng","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"10931","DOI":"10.5194\/acp-14-10931-2014","article-title":"The BLLAST field experiment: Boundary-layer late afternoon and sunset turbulence","volume":"14","author":"Lothon","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_8","first-page":"488","article-title":"Characteristics of atmospheric boundary layer over the Badain Jaran desert in summer","volume":"34","author":"Jiangang","year":"2014","journal-title":"J. Desert Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1175\/1520-0493(1999)127<1301:SAEOAS>2.0.CO;2","article-title":"Structure and evolution of a severe squall line over the arid region in northwest China","volume":"127","author":"Takemi","year":"1999","journal-title":"Mon. Weather Rev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Liu, J., Liu, W., Long, X.-E., Chen, Y., Huang, T., Huo, J., Duan, L., and Wang, X. (2020). Effects of nitrogen addition on C: N: P stoichiometry in moss crust-soil continuum in the N-limited Gurbant\u00fcngg\u00fct Desert, Northwest China. Eur. J. Soil Biol., 98.","DOI":"10.1016\/j.ejsobi.2020.103174"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2322","DOI":"10.1175\/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2","article-title":"Nonlocal boundary layer vertical diffusion in a medium-range forecast model","volume":"124","author":"Hong","year":"1996","journal-title":"Mon. Weather Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1029\/RG020i004p00851","article-title":"Development of a turbulence closure model for geophysical fluid problems","volume":"20","author":"Mellor","year":"1982","journal-title":"Rev. Geophys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1175\/MWR-D-15-0208.1","article-title":"Evaluation of PBL parameterizations in WRF at subkilometer grid spacings: Turbulence statistics in the dry convective boundary layer","volume":"144","author":"Shin","year":"2016","journal-title":"Mon. Weather Rev."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Jia, W., and Zhang, X. (2020). The role of the planetary boundary layer parameterization schemes on the meteorological and aerosol pollution simulations: A review. Atmos. Res., 239.","DOI":"10.1016\/j.atmosres.2020.104890"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8770","DOI":"10.1016\/j.atmosenv.2008.08.001","article-title":"High resolution urban large-eddy simulation studies from street canyon to neighbourhood scale","volume":"42","author":"Letzel","year":"2008","journal-title":"Atmos. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1017\/S0022112089000753","article-title":"Coherent structure of the convective boundary layer derived from large-eddy simulations","volume":"200","author":"Schmidt","year":"1989","journal-title":"J. Fluid Mech."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3953","DOI":"10.1002\/2016JD025465","article-title":"WRF nested large-eddy simulations of deep convection during SEAC4RS","volume":"122","author":"Heath","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.5194\/acp-19-2477-2019","article-title":"Tornado-scale vortices in the tropical cyclone boundary layer: Numerical simulation with the WRF\u2013LES framework","volume":"19","author":"Wu","year":"2019","journal-title":"Atmos. Chem. Phys."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2394","DOI":"10.1175\/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2","article-title":"Resolution requirements for the simulation of deep moist convection","volume":"131","author":"Bryan","year":"2003","journal-title":"Mon. Weather Rev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1023\/A:1020811015189","article-title":"Coherent structures near the surface in a strongly sheared convective boundary layer generated by large-eddy simulation","volume":"106","author":"Kim","year":"2003","journal-title":"Bound. Layer Meteorol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2295","DOI":"10.1175\/MWR3406.1","article-title":"Examining two-way grid nesting for large eddy simulation of the PBL using the WRF model","volume":"135","author":"Moeng","year":"2007","journal-title":"Mon. Weather Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1175\/JHM-D-11-048.1","article-title":"Nested mesoscale large-eddy simulations with WRF: Performance in real test cases","volume":"13","author":"Talbot","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.jweia.2011.01.013","article-title":"Simultaneous nested modeling from the synoptic scale to the LES scale for wind energy applications","volume":"99","author":"Liu","year":"2011","journal-title":"J. Wind. Eng. Ind. Aerodyn."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1002\/2014MS000399","article-title":"Numerical simulations of h urricane k atrina (2005) in the turbulent gray zone","volume":"7","author":"Green","year":"2015","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1007\/s00704-022-04247-6","article-title":"Comparison of horizontal wind observed by wind profiler radars with ERA5 reanalysis data in Anhui, China","volume":"150","author":"Deng","year":"2022","journal-title":"Theor. Appl. Climatol."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Lv, Y., Guo, J., Li, J., Cao, L., Chen, T., Wang, D., Chen, D., Han, Y., Guo, X., and Xu, H. (2021). Spatiotemporal characteristics of atmospheric turbulence over China estimated using operational high-resolution soundings. Environ. Res. Lett., 16.","DOI":"10.1088\/1748-9326\/abf461"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1016\/j.envpol.2018.09.070","article-title":"Unraveling the relationships between boundary layer height and PM2.5 pollution in China based on four-year radiosonde measurements","volume":"243","author":"Miao","year":"2018","journal-title":"Environ. Pollut."},{"key":"ref_28","unstructured":"Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Hor\u00e1nyi, A., Mu\u00f1oz Sabater, J., Nicolas, J., Peubey, C., Radu, R., and Rozum, I. (2023, August 30). ERA5 Hourly Data on Pressure Levels from 1940 to Present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Available online: https:\/\/doi.org\/10.24381\/cds.bd0915c6."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1175\/JAM2539.1","article-title":"A combined local and nonlocal closure model for the atmospheric boundary layer. Part I: Model description and testing","volume":"46","author":"Pleim","year":"2007","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Wang, Y., Sayit, H., Mamtimin, A., Zhu, J., Zhou, C., Huo, W., Yang, F., Yang, X., Gao, J., and Zhao, X. (2021). Evaluation of five planetary boundary layer schemes in WRF over China\u2019s largest semi-fixed desert. Atmos. Res., 256.","DOI":"10.1016\/j.atmosres.2021.105567"},{"key":"ref_31","first-page":"157","article-title":"An assessment of atmospheric boundary layer schemes over the Taklimakan Desert hinterland","volume":"38","author":"Meng","year":"2018","journal-title":"J. Meteorol. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1175\/1520-0469(2004)061<1816:TNMITT>2.0.CO;2","article-title":"Toward numerical modeling in the \u201cTerra Incognita\u201d","volume":"61","author":"Wyngaard","year":"2004","journal-title":"J. Atmos. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1175\/MWR-D-17-0356.1","article-title":"A three-dimensional scale-adaptive turbulent kinetic energy scheme in the WRF-ARW model","volume":"146","author":"Zhang","year":"2018","journal-title":"Mon. Weather Rev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1175\/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2","article-title":"Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model","volume":"46","author":"Dudhia","year":"1989","journal-title":"J. Atmos. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"16663","DOI":"10.1029\/97JD00237","article-title":"Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave","volume":"102","author":"Mlawer","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_36","first-page":"129","article-title":"The WRF single-moment 6-class microphysics scheme (WSM6)","volume":"42","author":"Hong","year":"2006","journal-title":"Asia-Pac. J. Atmos. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","article-title":"Coupling an advanced land surface\u2013hydrology model with the Penn State\u2013NCAR MM5 modeling system. Part I: Model implementation and sensitivity","volume":"129","author":"Chen","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1175\/MWR-D-11-00056.1","article-title":"A revised scheme for the WRF surface layer formulation","volume":"140","author":"Dudhia","year":"2012","journal-title":"Mon. Weather Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/S0034-4257(02)00078-0","article-title":"Global land cover mapping from MODIS: Algorithms and early results","volume":"83","author":"Friedl","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Li, X., and Pu, Z. (2021). Vertical eddy diffusivity parameterization based on a large-eddy simulation and its impact on prediction of hurricane landfall. Geophys. Res. Lett., 48.","DOI":"10.1029\/2020GL090703"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Stull, R.B. (1988). An Introduction to Boundary Layer Meteorology, Springer Science & Business Media.","DOI":"10.1007\/978-94-009-3027-8"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1175\/JAMC-D-19-0304.1","article-title":"Simulation of flow fields in complex terrain with WRF-LES: Sensitivity assessment of different PBL treatments","volume":"59","author":"Liu","year":"2020","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_43","first-page":"955","article-title":"Evaluation of the WRF model to simulate atmospheric boundary layer over Nagqu area in the Tibetan Plateau","volume":"76","author":"Lujun","year":"2018","journal-title":"Acta Meteorol. Sin."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.atmosres.2019.04.003","article-title":"Comparison of the performances between the WRF and WRF-LES models in radiation fog\u2014A case study","volume":"226","author":"Cui","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Li, X., and Pu, Z. (2022). Turbulence Effects on the Formation of Cold Fog over Complex Terrain with Large-Eddy Simulation. Geophys. Res. Lett., 49.","DOI":"10.1029\/2022GL098792"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/3\/558\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:52:41Z","timestamp":1760104361000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/3\/558"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,31]]},"references-count":45,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["rs16030558"],"URL":"https:\/\/doi.org\/10.3390\/rs16030558","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,31]]}}}