Prediction of daily minimum and maximum temperature measurements in the Greater Manila Area using gaussian process modeling for bias correction and artificial neural network methods

• المؤلفون الرئيسيون: Gammad, Alyanna Marrielle Cabang, Mejia, Jo-Anne April Penullar
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2023
• الموضوعات: Temperature forecasting, Minimum; Statistics and Probability
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etdb_math/27; https://animorepository.dlsu.edu.ph/context/etdb_math/article/1028/viewcontent/2023_Gammad_Mejia_Prediction_of_Daily_Minimum_and_Maximum_Temperature_Full_text.pdf

Temperature is a key variable for understanding climate variability and change. However, climatological summary statistics based on daily minimum and maximum temperatures contain inhomogeneities that can largely affect estimations done at a local scale. Thus, this study aimed to use a spatiotemporal...