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

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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Gammad, Alyanna Marrielle Cabang, Mejia, Jo-Anne April Penullar
格式: text
語言:English
出版: Animo Repository 2023
主題:
在線閱讀: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
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: De La Salle University
語言: English