A comparison with XGboost, AutoML and LSTM-Networks with weather time-series.Towards the development of low-cost solutions for hourly rainfall predictions.Bidirectional-LSTM networks can potentially be used for precipitation prediction.Impact of hyperparameters in machine learning algorithms for prediction....
For a peasant farmer in katsina, knowledge of pattern of rainfall is a vital determinant of which crops to plant and when to commence planting. Considering its implications for agriculture, water resource management, and disaster preparedness, this paper developed rainfall prediction mod...
These two methods were used to make rainfall estimates for the southern rainy season from October 1995 to April 1996. Estimates produced by both TAMSAT methods and estimates produced by the CPC (Climate Prediction Center) method were then compared with kriged data from over 800 raingauges in ...
Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China Article Open access 03 October 2024 Near future flash flood prediction in an arid region under climate change Article Open access 29 October 2024 Predicting extreme floods and droughts in East Afric...
Crozier MJ (1999) Prediction of rainfall-triggered landslides: a test of the antecedent water status model. Earth Surface Processes and Landforms 24: 825–833. 3.0.CO;2-M" data-track="click||click_references" data-track-action="external reference" data-track-value="external reference" data-tr...
Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence However, in recent years, the use of machine learning (ML) models in conjunction with post-hoc eXplainable Artificial Intelligence (XAI) techniques has improved our ability to make precise predictions and pr...
L. et al. Long-term observations of cloud condensation nuclei in the Amazon rain forest—part 1: aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction. Atmos. Chem. Phys. 16, 15709–15740 (2016). Google Scholar Kulmala, M. et al. Formation and growth...
Traditional statistical methods (Feng, 2020; Wang et al., 2023; Wang, 2022; Fan et al., 2023) have long been employed for rainfall prediction; however, the intricate non-linear nature of rainfall presents considerable challenges, prompting the exploration of various statistical and mathematical ...
•The different rainfall thresholds for the occurrence of debris flow in JJG are built.•The rainfall thresholds can't be exported to neighboring similar areas.•The antecedent precipitation is not a significant factor in JJG.•Debris flows in JJG are predominantly triggered by intraday precipi...
While the 2018 paper only covers the geographical area of “the southern UK”, its “Conclusion” section is probably applicable to “the UK” as well. in any case, thenew(2023) paper cites it as “supporting evidence” foritsassertion that “changes in a less extreme measure of local hou...