Results 51 to 60 of about 215 (134)
Study region: Big East River and Black River watersheds in Northern Ontario, Canada as snow-dominated, data-poor case studies. Study focus: In this study, seven lumped conceptual models were thoroughly compared in order to determine the best performing ...
Pedram Darbandsari, Paulin Coulibaly
doaj +1 more source
Abstract Understanding how drought affects phytoplankton dynamics is critical for developing early warning systems. Using standardized drought indices that capture both hydrometeorological extremes, we investigated how hydrological anomalies modulate intra‐annual chlorophyll‐a (Chla) concentrations, a proxy for phytoplankton biomass, in South Korea's ...
Pamela Sofia Fabian +2 more
wiley +1 more source
Multi‐Source Adaptive‐Fusion Transfer Learning for Streamflow Forecasting in Data‐Scarce Catchments
Abstract Streamflow gauging records remain sparse in many regions, limiting hydrological predictions. Transfer Learning (TL), which uses knowledge from data‐rich sources to improve predictions in data‐scarce targets, has emerged as a promising solution.
Yuxuan Gao +3 more
wiley +1 more source
How Will Higher Interannual Precipitation Variability Intensify Water Stress Under a Drying Climate?
Abstract Climate change is expected to alter both the mean and variability of precipitation. Hydrological consequences of higher precipitation variability remain less understood than that induced by changes in precipitation mean. This study evaluates the combined effects of changes in annual precipitation mean and variability on runoff and water supply
Hongxing Zheng +4 more
wiley +1 more source
Phosphorus input into surface water is a global concern due to its role in eutrophication, which is especially critical in semi-arid regions with their challenging climatic conditions.
Francisco Josivan de Oliveira Lima +10 more
doaj +1 more source
In this study, 6 widely used precipitation products APHRODITE, CPC_UNI_PRCP, CN05.1, PERSIANN-CDR, Princeton Global Forcing (PGF), and TRMM 3B42 V7 (TMPA), were evaluated against gauge observations (CMA data) from 1998 to 2014, and applied to streamflow ...
Xiaoxiang Guan +8 more
doaj +1 more source
The Irish Hydrometric Reference Network, Version 2.0
Reference hydrometric networks (RHNs) comprise high‐quality flow gauges with long reliable observational records from near‐natural catchments. Their primary role is for detecting changes in the water cycle, due to external drivers including climate change. Here we present an updated RHN for Ireland.
Paul O'Connor +2 more
wiley +1 more source
Abstract Effective water resource management under climate change is dependent on reliable modeling of future water availability, yet significant uncertainties remain due to shifting precipitation patterns and limitation in climate modeling. This study investigates a multiple‐lines‐of‐evidence approach aimed at reducing the uncertainty in projections ...
Caleb Dykman +3 more
wiley +1 more source
Using a three‐step framework of data preprocessing, analysis and interpretation, we provide insights into the seasonal and annual pattern of morphological changes, the overall bed form and dynamics and the location of morphological uniform river sections to assess the current morphological river state in data‐scarce regions.
Hannah Schwedhelm +4 more
wiley +1 more source
Abstract Existing comparative studies on conceptual hydrological model structures have generally focused on streamflow, with less attention to evapotranspiration (ET). Yet, appropriate ET representation in conceptual models is crucial for obtaining reliable hydrological simulations, especially under climate change and in ungauged basins.
Shuyue Wu +4 more
wiley +1 more source

