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Impact of AWiFS derived Land Use Land Cover on Simulation of Heavy Rainfall

机译:AWIFS衍生土地的影响利用土地覆盖对大雨仿真

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Land use/land cover (LU/LC) changes are considered to be one of the most important factors affecting regional clim'ate and are thus an area of public concern. The land surface plays a crucial role in boundary layer evolution and precipitation patterns thereby establishing the need for LU/LC inputs as a critical part of modeling systems. Inaccurate LU/LC information often leads to very large errors in surface energy fluxes thus leading to errors in boundary layer state. We have investigated an incident of heavy rainfall during August 2015 over West Bengal, India using Weather Research and Forecast (WRF) model by incorporating different LU/LC datasets, IRS P6 Advanced Wide Field Sensor (AWiFS) LU/LC data for 2012-13 and the default Moderate Resolution Imaging Spectro-radiometer (MODIS) derived USGS LU/LC data for 2001. In the present study, we have made a comparative assessment between AWiFS derived LU/LC and USGS LU/LC by incorporating these datasets as one of the lower boundary conditions over Indian region in WRF model version 3.5.1 to simulate, at 10km resolution, a heavy rainfall event associated with landfall of a cyclonic system over West Bengal. The results of the study suggested influence of LU/LC in occurrence of heavy rainfall with WRF model using AWiFS LU/LC showing more realistic simulation as AWiFS LU/LC is more up-to-date and features recent changes in LU/LC over India.
机译:土地使用/陆地覆盖(LU / LC)变化被认为是影响区域升值的最重要因素之一,因此是一个公众关注的领域。陆地表面在边界层演化和降水模式中起着至关重要的作用,从而建立LU / LC输入的需要作为建模系统的关键部分。不准确的LU / LC信息通常导致表面能量通量的非常大的误差导致边界层状态的误差。我们在2015年8月在西孟加拉邦,印度使用天气研究和预测(WRF)模型来调查了大量降雨事件,采用了不同的LU / LC数据集,IRS P6先进的宽场传感器(APIFS)LU / LC数据为2012-13和2001年衍生USGS LU / LC数据的默认中等分辨率成像光谱仪(MODIS)。在目前的研究中,我们通过将这些数据集结合到其中一项来说,我们在AWIFS衍生LU / LC和USGS LU / LC之间进行了比较评估WRF型号3.5.1中印度地区的较低边界条件为3.5.1,以10公里的分辨率为模拟,这是与西孟加拉邦的循环系统的登陆有关的大雨事件。该研究的结果提出了LU / LC在WRF模型的情况下使用AWIFS LU / LC的影响,显示了更现实的模拟,如AWIFS LU / LC更新,并在印度的LU / LC最近发生变化。

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