[HTML][HTML] Hybrid forecasting: blending climate predictions with AI models

LJ Slater, L Arnal, MA Boucher… - Hydrology and earth …, 2023 - hess.copernicus.org
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …

Non-perennial segments in river networks

T Datry, AJ Boulton, K Fritz, R Stubbington… - Nature Reviews Earth & …, 2023 - nature.com
Non-perennial river segments—those that recurrently cease to flow or frequently dry—occur
in all river networks and are globally more abundant than perennial (always flowing) …

Methods for Quantifying Interactions Between Groundwater and Surface Water

R Ma, K Chen, CB Andrews, SP Loheide… - Annual Review of …, 2024 - annualreviews.org
Driven by the need for integrated management of groundwater (GW) and surface water
(SW), quantification of GW–SW interactions and associated contaminant transport has …

A global database of historic glacier lake outburst floods

N Lützow, G Veh, O Korup - Earth System Science Data …, 2023 - essd.copernicus.org
Ongoing atmospheric warming has accelerated glacier mass loss in many mountain regions
worldwide. Glacier lakes trap parts of the glacial meltwater and increased by about 50% in …

Extending global river gauge records using satellite observations

RM Riggs, GH Allen, J Wang… - Environmental …, 2023 - iopscience.iop.org
Long-term, continuous, and real-time streamflow records are essential for understanding
and managing freshwater resources. However, we find that 37% of publicly available global …

Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations

JM Johnson, DL Blodgett, KC Clarke, J Pollak - Scientific Data, 2023 - nature.com
Abstract In 2016, the National Oceanic and Atmospheric Administration deployed the first
iteration of an operational National Water Model (NWM) to forecast the water cycle in the …

Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models

L Slater, L Arnal, MA Boucher… - Hydrology and Earth …, 2022 - hess.copernicus.org
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …

[HTML][HTML] Sustainable management of groundwater extraction: An Australian perspective on current challenges

PG Cook, M Shanafield, MS Andersen, S Bourke… - Journal of Hydrology …, 2022 - Elsevier
Abstract Study region Australia Study focus Our incomplete knowledge of groundwater
systems and processes imposes barriers in attempting to manage groundwater sustainably …

Citizen scientists can help advance the science and management of intermittent rivers and ephemeral streams

A Truchy, Z Csabai, L Mimeau, A Künne… - …, 2023 - academic.oup.com
Intermittent rivers and ephemeral streams are the world's dominant type of river ecosystem
and are becoming more common because of global change. However, the inclusion of …

Calibrating a hydrodynamic model using water surface elevation determined from ICESat-2 derived cross-section and Sentinel-2 retrieved sub-pixel river width

H Zhou, S Liu, X Mo, S Hu, L Zhang, J Ma… - Remote Sensing of …, 2023 - Elsevier
Accurate observations of river water surface elevation (WSE) are critical for hydrodynamic
(HD) model calibration in poorly gauged regions. This study presents a new river WSE …