Entropy-Weighted Score Offers Objective Way to Rank Climate Models in CMIP6
Researchers at IIT Kharagpur have developed an entropy-based composite index that objectively ranks ten CMIP6 climate models across India, revealing ...
Researchers at IIT Kharagpur have developed an entropy-based composite index that objectively ranks ten CMIP6 climate models across India, revealing ...
A 60-year analysis of daily data from nearly 1,900 Chinese weather stations reveals that drought duration and frequency obey a ...
A new copula-based study of Shandong Province shows that a runoff-centered drought index outperforms precipitation-based alternatives by integrating the full ...
A new hydrogeophysical study in southeastern Nigeria found that multivariate linear regression far outperformed an artificial neural network in predicting ...
Researchers trained a deep learning model to forecast water scarcity characterisation factors for nearly 10,000 river basins through 2032, revealing ...
A new study tests a Transformer-based physics-informed neural network against support vector regression for forecasting hydrological drought in the transboundary ...
A hybrid SVMD-CNN-LSTM model cut groundwater quality forecasting error by up to 58 percent and revealed very poor water quality ...
Researchers in Sweden have developed an open-source workflow that couples Monte Carlo simulation with the Analytic Element Method to generate ...
Researchers in South Korea have developed a temporal convolutional network that forecasts dam storage six months in advance, doubling the ...
Researchers at the University of Isfahan compared three water balance formulations against downscaled GRACE satellite gravity data and found that ...
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© 2026 Scienmag - Science Magazine