Challenges in modeling and predicting floods and droughts: A review
Predictions of floods, droughts, and fast drought‐flood transitions are required at different
time scales to develop management strategies targeted at minimizing negative societal and …
time scales to develop management strategies targeted at minimizing negative societal and …
A decade of Predictions in Ungauged Basins (PUB)—a review
Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
Time to update the split‐sample approach in hydrological model calibration
Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …
Characterising performance of environmental models
In order to use environmental models effectively for management and decision-making, it is
vital to establish an appropriate level of confidence in their performance. This paper reviews …
vital to establish an appropriate level of confidence in their performance. This paper reviews …
Global‐scale regionalization of hydrologic model parameters
Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …
Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US
Incomplete representations of physical processes often lead to structural errors in process-
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …
A review of catchment-scale water quality and erosion models and a synthesis of future prospects
Catchment-scale water quality models have become important tools for water quality
management, planning and reporting worldwide. In this review, we synthesise recent …
management, planning and reporting worldwide. In this review, we synthesise recent …
Legacy, rather than adequacy, drives the selection of hydrological models
The findings of hydrological modeling studies depend on which model was used. Although
hydrological model selection is a crucial step, experience suggests that hydrologists tend to …
hydrological model selection is a crucial step, experience suggests that hydrologists tend to …
A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural network
Monthly streamflow forecasts are needed to support water resources decision making in the
South East of South Australia, where baseflow represents a significant proportion of the total …
South East of South Australia, where baseflow represents a significant proportion of the total …
Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions?
C Teutschbein, J Seibert - Hydrology and Earth System …, 2013 - hess.copernicus.org
In hydrological climate-change impact studies, regional climate models (RCMs) are
commonly used to transfer large-scale global climate model (GCM) data to smaller scales …
commonly used to transfer large-scale global climate model (GCM) data to smaller scales …