Physics-aware machine learning revolutionizes scientific paradigm for machine learning and process-based hydrology

Q Xu, Y Shi, J Bamber, Y Tuo, R Ludwig… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …

The influence of topography on the global terrestrial water cycle

S Gnann, JW Baldwin, MO Cuthbert… - Reviews of …, 2025 - Wiley Online Library
Topography affects the distribution and movement of water on Earth, yet new insights about
topographic controls continue to surprise us and exciting puzzles remain. Here we combine …

Prediction of extraordinarily high floods emerging from heterogeneous flow generation processes

S Mushtaq, A Miniussi, R Merz… - Geophysical …, 2023 - Wiley Online Library
River floods are generated by various processes that, if disregarded, may induce errors in
flood hazard assessment. This is particularly relevant where events extraordinarily larger …

How extreme are flood peak distributions? A quasi-global analysis of daily discharge records

M Zaerpour, SM Papalexiou, A Pietroniro, A Nazemi - Journal of Hydrology, 2024 - Elsevier
A higher chance of extreme floods is often revealed by a probability distribution with a
slower decay and a heavier tail. There are numerous and conflicting findings in previous …

[HTML][HTML] Using sub-daily precipitation for grid-based hydrological modelling across Great Britain: assessing model performance and comparing flood impacts under …

AL Kay, MJ Brown - Journal of Hydrology: Regional Studies, 2023 - Elsevier
Abstract Study region Great Britain. Study focus National-scale grid-based hydrological
models are usually run at fine spatial and temporal resolutions, but driving data are often not …

[HTML][HTML] Catchment characterization: current descriptors, knowledge gaps and future opportunities

L Tarasova, S Gnann, S Yang, A Hartmann… - Earth-Science …, 2024 - Elsevier
The ability to characterize hydrologically relevant differences between places is at the core
of our science. A common way to quantitatively characterize hydrological catchments is …

Deciphering the role of total water storage anomalies in mediating regional flooding

AY Sun, H Save, A Rateb, P Jiang… - Geophysical Research …, 2024 - Wiley Online Library
Regional floods result from various flood generation mechanisms. Traditional analyses
mainly link flooding to extreme rainfall, with limited input from soil moisture. Total water …

A framework to evaluate the impact of a hazard chain and geographical covariates on spatial extreme water levels: A case study in the Pearl River Delta

Z She, Z Liu, H Cai, H Liu, Y Song, B Li, X Lan… - Science of The Total …, 2024 - Elsevier
The interactions and collective impacts of different types of hazards within a compound
hazard system, along with the influence of geographical covariates on flooding are presently …

Stochastic in space and time: 1. Characterizing orographic gradients in mean runoff and daily runoff variability

AM Forte, MW Rossi - Journal of Geophysical Research: Earth …, 2024 - Wiley Online Library
Mountain topography alters the phase, amount, and spatial distribution of precipitation. Past
efforts focused on how orographic precipitation can alter spatial patterns in mean runoff, with …

[HTML][HTML] What controls the tail behaviour of flood series: rainfall or runoff generation?

E Macdonald, B Merz, B Guse… - Hydrology and Earth …, 2024 - hess.copernicus.org
Many observed time series of precipitation and streamflow show heavy-tail behaviour. For
heavy-tailed distributions, the occurrence of extreme events has a higher probability than for …