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Published in 2018 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-018-1674-2
Abstract: Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid…
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Keywords:
regression;
support vector;
monthly rainfall;
model ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3131217
Abstract: In recent studies, precipitable water vapor (PWV) has caught the interest of researchers in predicting rainfall. However, rainfall depends on several other atmospheric factors that play a vital role in its initiation. With only one…
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Keywords:
gradient;
rainfall;
prediction;
tropical region ... See more keywords
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Published in 2017 at "Sains Malaysiana"
DOI: 10.17576/jsm-2017-4612-32
Abstract: A hybrid climate model (HCM) is a novel proposed model based on the combination of self-organizing map (SOM) and analog method (AM). The main purpose was to improve the accuracy in rainfall forecasting using HCM.…
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Keywords:
combination;
model;
hybrid climate;
rainfall forecasting ... See more keywords
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Published in 2018 at "Hydrology"
DOI: 10.3390/hydrology5010010
Abstract: Estimating maximum possible rainfall is of great value for flood prediction and protection, particularly for regions, such as Canada, where urban and fluvial floods from extreme rainfalls have been known to be a major concern.…
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Keywords:
decision;
machine learning;
model;
decision making ... See more keywords