Physically based and deep learning models were combined to simulate streamflow in a mountainous karst watershed

This hybrid modeling approach explicitly accounts for spatially distributed snowmelt

ConvLSTM simulates streamflow with high accuracy and provides insight into spatial hydrologic responses

The European Centre for Medium-Range Weather Forecasts (ECMWF) is the most skilful model for precipitation in Africa

Weighted multi-model mean provides the highest performance compared to individual models for precipitation and forecasting droughts

Forecast skill of monthly meteorological drought events at lead 1-month is modest

Spatio-temporal variability of soil storage and ecohydrological partitioning was modulated by vegetation characteristics

Transpiration, groundwater, and streamflow response times were distinct from water ages, with spatial differences driven by vegetation units

Lower model resolution reduced spatial variability and increased the difference of catchment response and water age of fluxes and storages

Lakes of moderate size may exhibit upwelling at upwind shores and along-wind shores due to the Coriolis force influence

Upwelling dynamics in lakes of moderate size cannot be parameterized by applying a single conceptual model

Cyclonic currents observed in Lake Tahoe are in quasi-geostrophic balance and resemble coastal jets noticed in large lakes and coastal ocean

A physically based model with a two-pass digital filter for groundwater runoff separation from streamflow time series was proposed

Groundwater flow recession constant and the base flow recession constant can be determined separately using variogram analysis

The proposed method is able to reveal the effects of climate change on groundwater runoff

A single deep learning model was used to predict both water temperature and streamflow

The best configured single-site multi-task models improved streamflow predictions for most sites tested

A naïve implementation of multi-task learning was detrimental to water temperature predictions

Summer streamflow increased in headwaters at all elevations following fire

Dominant winter/spring streamflow was unchanged in higher/colder headwaters but decreased in lower/warmer headwaters

Climatological asynchrony of snowmelt and transpiration in warmer watersheds may reduce streamflow benefits of fire

Migration rate in the idealized case is dictated by transverse sediment flux at the thalweg due to secondary flow, not bank slope

The derived migration rate uses dimensionless groupings: excess Shields stress, depth/radius, and grain size/noncohesive layer thickness

The linear excess shear stress formulation valid for cohesive soils mischaracterizes fluvial erosion when applied to noncohesive banks

592-year annual streamflow reconstruction of the Daly River Catchment, Australia, derived using a tree-ring network

Wavelet-based techniques to transform tree ring spectral characteristics improve the reconstruction ability

High streamflow in the 20th Century is regionally coherent and unprecedented in the preceding five centuries

Analytical models to estimate recharge rate from groundwater age neglect heterogeneities

A landscape evolution model simulating fluvial deposits reveals variable but prevalent absolute errors up to thousands of percent

A sensitivity analysis on 20 000 realizations exposes how fluvial processes influence errors through the heterogeneity of fluvial deposits

First complete high-resolution flood hazard analysis of conterminous US flood risk from all major sources (fluvial, pluvial, and coastal)

In validation tests the model achieved Critical Success Index scores of 0.69–0.82, similar to many local custom-built 2D models

By 2050, flood hazard increases for the Eastern seaboard and Western states, but decreases or changes little for the center and South-West