Rethinking the Default: Fine-Tuning a Land Surface Model for Snow and Flood Prediction in the Missouri River Basin
A NASA-led study of the Missouri River Basin shows that swapping individual physics schemes in the Noah-MP land surface model ...
A NASA-led study of the Missouri River Basin shows that swapping individual physics schemes in the Noah-MP land surface model ...
A new global monthly groundwater dataset at 1 km resolution for 2002-2020 combines GRACE satellite gravity, environmental predictors and machine ...
A study of Brazil's SerinhaƩm River basin found that neural networks offered no consistent advantage over classical time-series models for ...
Researchers have built an integrated stochastic modeling framework that propagates 100 synthetic climate scenarios through rainfall-runoff and groundwater models to ...
A 65-year analysis of all 33 districts of Chhattisgarh links monsoon rainfall, drought, and onset timing to ENSO and the ...
A hybrid PCA-Lasso statistical model developed by Chinese researchers forecasts agricultural water use in the Heihe River Basin with 99.7 ...
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 ...
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Ā© 2025 Scienmag - Science Magazine