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IMPACT OF LAND USE CHANGE ON WEATHER RESEARCH AND FORECASTING (WRF) OUTPUT: A CASE STUDY FOR THE PHILIPPINES

机译:土地利用变化对天气研究和预报(WRF)产量的影响:菲律宾的案例研究

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The interaction between land and the atmosphere is important in every weather prediction model. Changes in land use can affect the output of weather model because the incoming and outgoing radiations are altered by the modification of biophysical properties on the earth's surface. In this research, the Weather Forecasting and Research Model (WRF) was used to produce numerical weather prediction (NWP) output for June 2015 with the 2001 and 2010 land use from the Moderate Resolution Imaging Spectroradiomater (MODIS). Comparisons of the resulting forecast outputs were conducted between the two time periods of to evaluate the impact of land use changes that happened in the country. The study utilized the biophysical parameters of various land use in order to determine the difference brought by land use change, particularly it looked in the Albedo, Emissivity, Surface Roughness and Soil Moisture availability. The research proved the feasibility of using available land use data from MODIS in order to update the land use input in the model. The changes in land use brought variation on these biophysical parameters which have caused the general alteration in meteorological variables such as changes in minimum and maximum temperature, wind speed and precipitation. The result of this study proved that MODIS is one of the land use data feasible to be utilized in NWP model. The impacts brought by updated land use data could be used to understand the land and atmospheric interaction including the improvement of weather and climate model for future simulations.
机译:在每个天气预报模型中,土地与大气之间的相互作用都很重要。土地用途的变化会影响天气模型的输出,因为入射和流出的辐射会由于地球表面生物物理特性的改变而改变。在这项研究中,使用天气预报和研究模型(WRF)产生了2015年6月的数值天气预报(NWP)输出,其中2001和2010年的土地使用来自中分辨率成像光谱仪(MODIS)。在的两个时间段之间对所得的预测输出进行了比较,以评估该国发生的土地利用变化的影响。该研究利用各种土地利用的生物物理参数来确定土地利用变化带来的差异,特别是在反照率,辐射率,表面粗糙度和土壤水分可用性方面。研究证明了使用来自MODIS的可用土地利用数据来更新模型中土地利用输入的可行性。土地利用的变化带来了这些生物物理参数的变化,这些变化导致了气象变量的普遍变化,例如最低和最高温度,风速和降水的变化。研究结果证明,MODIS是可用于NWP模型的土地利用数据之一。更新的土地利用数据带来的影响可用于了解土地和大气之间的相互作用,包括改进天气和气候模型以用于将来的模拟。

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