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...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2023
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| Subjects: | |
| Online Access: | 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 |
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| Institution: | De La Salle University |
| Language: | English |