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首页> 外文会议>International Geoscience and Remote Sensing Symposium >Sensitivity experiments of WRF-ARW PBL schemes over Singapore region: Impact of land use, land cover and model resolution
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Sensitivity experiments of WRF-ARW PBL schemes over Singapore region: Impact of land use, land cover and model resolution

机译：WRF-ARW PBL方案在新加坡地区的敏感性试验：土地使用，土地覆盖和模型分辨率的影响

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摘要

In the present study, the surface meteorological parameters over Singapore are simulated using WRF-ARW mesoscale model by varying the planetary boundary layer (PBL) parameterization schemes, horizontal resolutions and two land cover data sets (USGS and MODIS). Simulations are conducted with four nested domains having horizontal resolution of 27, 9, 3 and 1 km; 51 vertical levels by using the 1° × 1° NCEP final analysis meteorological fields for initial and boundary conditions. Eight days (20-28 January 2015) are selected for simulating various surface meteorological parameters. The model-simulated parameters of surface temperature, relative humidity, wind speed and wind direction are validated with the available observations over Singapore. It has been found that, improvements in predicting surface meteorological parameters with the increase in model resolution up to 3 km. The experiment with the 3 km grid resolution showed better simulated surface meteorological variables than that of 1 km resolution grid. Further, MODIS land cover data considerably improved the prediction of surface meteorological variables compare to the USGS. The surface meteorological variables simulated using the ACM2 PBL scheme with MODIS data are in better agreement with the observations showing least error statistics than the other PBL schemes used in the study. The better performance by ACM2 could be due to the non-local turbulence closure during unstable conditions and local-closure during stable conditions formulated in this scheme.
机译：在本研究中，通过改变行星边界层（PBL）参数化方案，水平分辨率和两个土地覆盖数据集（USGS和MODIS），使用WRF-ARW中尺度模型模拟了新加坡的地面气象参数。用四个嵌套域进行模拟，这些域的水平分辨率分别为27、9、3和1 km。通过使用1°×1°NCEP最终分析气象场来确定初始和边界条件下的51个垂直水平。选择了八天（2015年1月20日至28日）来模拟各种地面气象参数。模型模型模拟的地表温度，相对湿度，风速和风向参数已通过新加坡的现有观测数据进行了验证。已经发现，随着模型分辨率的增加，直到3 km，地表气象参数的预测都得到了改进。 3 km网格分辨率的实验显示出比1 km分辨率网格更好的模拟地面气象变量。此外，与USGS相比，MODIS土地覆盖数据大大改善了对地面气象变量的预测。与研究中使用的其他PBL方案相比，使用ACM2 PBL方案和MODIS数据模拟的地面气象变量与显示最小误差统计数据的观测结果更加吻合。 ACM2更好的性能可能是由于在此方案中制定了在不稳定条件下的非局部湍流闭合和在稳定条件下的非局部湍流闭合。

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