北干巴鲁采用蒙特卡洛方法预测降雨量和空气湿度

Melani Seprima, Defrianto Defrianto
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引用次数: 3

摘要

天气预报在我们的生活中很重要,可以将未来发生的影响降到最低。降雨和湿度极大地影响着印尼的天气状况。降雨和湿度预报的准确性非常重要,因为它可以用于各种领域。使用的数据是BMKG北干巴鲁2014-2018年的月平均降雨量和湿度数据,然后使用基于MATLAB R2015a的程序对月平均数据进行处理,从而获得2019-2023年的平均降雨量预测模拟和空气湿度。基于MATLAB R2015a的程序采用蒙特卡罗方法,误差值为0.0887913。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PREDIKSI CURAH HUJAN DAN KELEMBABAN UDARA KOTA PEKANBARU MENGGUNAKAN METODE MONTE CARLO
Weather prediction is important in our lives and can minimize the impact that will occur in the future. Rainfaal and humidity greatly affect the weather conditions in Indonesia. Accuracy in the prediction of rainfall and humidity is very important because it can be used in various interests. The data used are the monthly average data of rainfall and humidity in the city of Pekanbaru in 2014–2018 obtained from BMKG Pekanbaru, then the monthly average data will be processed using a MATLAB R2015a based program so that an average rainfall prediction simulation is obtained and air humidity in 2019–2023. MATLAB R2015a based program using the monte carlo method and has error value 0.0887913.
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