[HTML][HTML] Hybrid forecasting: blending climate predictions with AI models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
[HTML][HTML] Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
R Arsenault, JL Martel, F Brunet… - Hydrology and Earth …, 2023 - hess.copernicus.org
This study investigates the ability of long short-term memory (LSTM) neural networks to
perform streamflow prediction at ungauged basins. A set of state-of-the-art, hydrological …
perform streamflow prediction at ungauged basins. A set of state-of-the-art, hydrological …
[HTML][HTML] Ten strategies towards successful calibration of environmental models
J Mai - Journal of Hydrology, 2023 - Elsevier
Abstract Model calibration is the procedure of finding model settings such that simulated
model outputs best match the observed data. Model calibration is necessary when the …
model outputs best match the observed data. Model calibration is necessary when the …
[HTML][HTML] On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization
Abstract Models play a pivotal role in advancing our understanding of Earth's physical
nature and environmental systems, aiding in their efficient planning and management. The …
nature and environmental systems, aiding in their efficient planning and management. The …
Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction
Abstract Machine learning (ML) algorithms have produced remarkable advances in
streamflow prediction, exceeding the performance of calibrated conceptual and physics …
streamflow prediction, exceeding the performance of calibrated conceptual and physics …
Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets?
Hydrological models are usually calibrated to in‐situ streamflow observations with
reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged …
reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged …
Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
GS Nearing, D Klotz, AK Sampson… - Hydrology and earth …, 2021 - hess.copernicus.org
Ingesting near-real-time observation data is a critical component of many operational
hydrological forecasting systems. In this paper we compare two strategies for ingesting near …
hydrological forecasting systems. In this paper we compare two strategies for ingesting near …
In defense of metrics: Metrics sufficiently encode typical human preferences regarding hydrological model performance
Building accurate rainfall–runoff models is an integral part of hydrological science and
practice. The variety of modeling goals and applications have led to a large suite of …
practice. The variety of modeling goals and applications have led to a large suite of …
Applicability of a flood forecasting system for Nebraska watersheds
SR Koya, NV Giron, M Rojas, R Mantilla… - … Modelling & Software, 2023 - Elsevier
Accurate and timely flood prediction can reduce the risk of flooding, bolster preparedness,
and help build resilience. In this study, we have developed a flood forecasting system …
and help build resilience. In this study, we have developed a flood forecasting system …