Smarter Rain Simulators: New Statistical Upgrade Sharpens Extreme Precipitation Forecasts
Researchers have extended a widely used class of statistical precipitation generators with flexible distributional modelling and a unified treatment of ...
Researchers have extended a widely used class of statistical precipitation generators with flexible distributional modelling and a unified treatment of ...
An open-source toolkit called Virtual Rain now lets hydrologists generate realistic synthetic rainfall and convert ordinary daily records into minute-scale ...
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
A new quantitative framework treats river discharge as a wave, unifying decades of ecological theory and turning routine gauge data ...
A large-scale analysis of 671 US catchments shows that streamflow reanalysis errors amplify precipitation errors up to fivefold in humid ...
Ivorian researchers have shown that LSTM neural networks fed with NASA satellite data can predict daily rainfall up to seven ...
Scientists have coupled a sophisticated vegetation and hydrology model into the ECHAM6 climate model, substantially improving simulations of global carbon ...
A localized convolutional neural network trained on ASCAT satellite radar data outperforms the operational soil moisture product and, during heavy ...
A new satellite altimetry study has produced the first global map of river flood peak timing, revealing earlier peaks at ...
A watershed-scale field trial in Vermont shows that crushed basalt begins exporting carbon-removal alkalinity to streams within weeks, with strong ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine