Articles with "rainfall prediction" as a keyword



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Tiny‐RainNet: a deep convolutional neural network with bi‐directional long short‐term memory model for short‐term rainfall prediction

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Published in 2020 at "Meteorological Applications"

DOI: 10.1002/met.1956

Abstract: Rainfall is not only related to current and previous meteorological conditions but also to meteorological conditions of the current location and surrounding regions. Existing short‐term rainfall prediction methods mainly focus on radar echo extrapolation to… read more here.

Keywords: tiny rainnet; rainfall prediction; short term;
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Rainfall Prediction Using Machine Learning Algorithms for the Various Ecological Zones of Ghana

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2021.3139312

Abstract: Accurate rainfall prediction has become very complicated in recent times due to climate change and variability. The efficiency of classification algorithms in rainfall prediction has flourished. The study contributes to using various classification algorithms for… read more here.

Keywords: rainfall prediction; ecological zones; prediction; zones ghana ... See more keywords
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Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3263872

Abstract: This study presents a new research direction for predicting rainfall amount using cloud image data. Herein, we employ a convolutional neural networks (CNNs) to develop an image-value model from cloud image data collected from May… read more here.

Keywords: model; cloud image; image; rainfall prediction ... See more keywords
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Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia

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Published in 2022 at "The Scientific World Journal"

DOI: 10.1155/2022/9779829

Abstract: Generating an accurate rainfall prediction is a challenging work due to the complexity of the climate system. Numerous efforts have been conducted to generate reliable prediction such as through ensemble forecasts, the North Multi-Model Ensemble… read more here.

Keywords: regression; accuracy rainfall; rainfall prediction; prediction ... See more keywords
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Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand

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Published in 2022 at "Symmetry"

DOI: 10.3390/sym14081599

Abstract: Rainfall is a primary factor for agricultural production, especially in a rainfed agricultural region. Its accurate prediction is therefore vital for planning and managing farmers’ plantations. Rainfall plays an important role in the symmetry of… read more here.

Keywords: sap songkhla; thale sap; rainfall prediction; prediction ... See more keywords