[HTML][HTML] Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management

LJ Slater, B Anderson, M Buechel… - Hydrology and Earth …, 2021 - hess.copernicus.org
Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …

Flood inundation prediction

PD Bates - Annual Review of Fluid Mechanics, 2022 - annualreviews.org
Every year flood events lead to thousands of casualties and significant economic damage.
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …

Caravan-A global community dataset for large-sample hydrology

F Kratzert, G Nearing, N Addor, T Erickson, M Gauch… - Scientific Data, 2023 - nature.com
High-quality datasets are essential to support hydrological science and modeling. Several
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist …

Understanding heavy tails of flood peak distributions

B Merz, S Basso, S Fischer, D Lun… - Water Resources …, 2022 - Wiley Online Library
Statistical distributions of flood peak discharge often show heavy tail behavior, that is,
extreme floods are more likely to occur than would be predicted by commonly used …

A brief analysis of conceptual model structure uncertainty using 36 models and 559 catchments

WJM Knoben, JE Freer, MC Peel… - Water Resources …, 2020 - Wiley Online Library
The choice of hydrological model structure, that is, a model's selection of states and fluxes
and the equations used to describe them, strongly controls model performance and realism …

Mapping water ecosystem services: Evaluating InVEST model predictions in data scarce regions

F Benra, A De Frutos, M Gaglio… - … Modelling & Software, 2021 - Elsevier
Sustainable management of water ecosystem services requires reliable information to
support decision making. We evaluate the performance of the InVEST Seasonal Water Yield …

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

G Coxon, N Addor, JP Bloomfield… - Earth System …, 2020 - essd.copernicus.org
We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-
GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates …

Streamflow droughts aggravated by human activities despite management

AF Van Loon, S Rangecroft, G Coxon… - Environmental …, 2022 - iopscience.iop.org
Human activities both aggravate and alleviate streamflow drought. Here we show that
aggravation is dominant in contrasting cases around the world analysed with a consistent …

[HTML][HTML] A climate-conditioned catastrophe risk model for UK flooding

PD Bates, J Savage, O Wing, N Quinn… - … Hazards and Earth …, 2023 - nhess.copernicus.org
We present a transparent and validated climate-conditioned catastrophe flood model for the
UK, that simulates pluvial, fluvial and coastal flood risks at 1 arcsec spatial resolution (∼ 20 …

CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

VBP Chagas, PLB Chaffe, N Addor… - Earth System …, 2020 - essd.copernicus.org
We introduce a new catchment dataset for large-sample hydrological studies in Brazil. This
dataset encompasses daily time series of observed streamflow from 3679 gauges, as well …