New Seasonal River Flow Forecasts Give Britain a Three-Month Head Start on Floods and Droughts
Scientists at UKCEH and the Met Office have built and evaluated a new 1 km resolution seasonal river flow forecasting ...
Tag: hydrology
Mossy Wetlands Defy Standard Methods for Splitting Water Losses
A comparison of ten evapotranspiration partitioning methods across four Canadian moss-covered wetlands finds no consistent winner and exposes deep uncertainty ...
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 ...
Virtual Rain Turns Sparse Rainfall Records Into High-Resolution Storm Data
An open-source toolkit called Virtual Rain now lets hydrologists generate realistic synthetic rainfall and convert ordinary daily records into minute-scale ...
Machine Learning Rescues Satellite Rainfall Data in Kenya’s Vital Water Tower
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
River Waves: A New Framework Turns Flow Data Into Ecological Predictions
A new quantitative framework treats river discharge as a wave, unifying decades of ecological theory and turning routine gauge data ...
Rainfall Errors Ripple Into River Forecasts Differently Across Wet and Dry Catchments
A large-scale analysis of 671 US catchments shows that streamflow reanalysis errors amplify precipitation errors up to fivefold in humid ...
Deep learning turns satellite data into week-long flood warnings for Ivory Coast
Ivorian researchers have shown that LSTM neural networks fed with NASA satellite data can predict daily rainfall up to seven ...
New coupled climate-ecosystem model sharpens global carbon and water simulations
Scientists have coupled a sophisticated vegetation and hydrology model into the ECHAM6 climate model, substantially improving simulations of global carbon ...
Deep Learning Teaches Satellites to Watch Soil Moisture Change Within a Single Day
A localized convolutional neural network trained on ASCAT satellite radar data outperforms the operational soil moisture product and, during heavy ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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