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An Automatic Data-Driven Long-term Rainfall Prediction using Humboldt Squid Optimized Convolutional Residual Attentive Gated Circulation Model in India

by Subramanian S. RaniK G. Madhavan M. Rajendran S.

Issue 10

Climate change mitigation and adaptation

Precise long-term rainfall forecasting is becoming progressively significant, predominantly in periods of fluctuating weather circumstances. These prophecies are indispensable for several areas, including agronomy, water resource supervision, flood attentiveness, and effluence monitoring. This...

rainfall prediction Monthly Forecasting +5 more
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Using an informational entropy-based metric as a diagnostic of flow duration to drive model parameter identification

by

Pechlivanidis I.G., Jackson B.M., McMillan H.K. and Gupta H.V.

Issue 3

General

Calibration of rainfall-runoff models is made complicated by uncertainties in data, and by the arbitrary emphasis placed on various magnitudes of the model residuals by most traditional measures of fit. Current research highlights the importance of driving model identification by assimilating...

calibration Model identification +5 more
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