Bluecat: A local uncertainty estimator for deterministic simulations and predictions
D Koutsoyiannis, A Montanari - Water Resources Research, 2022 - Wiley Online Library
We present a new method for simulating and predicting hydrologic variables with uncertainty
assessment and provide example applications to river flows. The method is identified with …
assessment and provide example applications to river flows. The method is identified with …
Stochastic watershed model ensembles for long‐range planning: Verification and validation
G Shabestanipour, Z Brodeur… - Water Resources …, 2023 - Wiley Online Library
Deterministic watershed models (DWMs) are used in nearly all hydrologic planning, design,
and management activities, yet they cannot generate streamflow ensembles needed for …
and management activities, yet they cannot generate streamflow ensembles needed for …
Runoff probability prediction model based on natural Gradient boosting with tree-structured parzen estimator optimization
K Shen, H Qin, J Zhou, G Liu - Water, 2022 - mdpi.com
Accurate and reliable runoff prediction is critical for solving problems related to water
resource planning and management. Deterministic runoff prediction methods cannot meet …
resource planning and management. Deterministic runoff prediction methods cannot meet …
A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy
Occurrences of extreme events, especially floods, have become more frequent and severe
in the recent past due to the global impacts of climate change. In this context, possibilities for …
in the recent past due to the global impacts of climate change. In this context, possibilities for …
A Physics‐Aware Machine Learning‐Based Framework for Minimizing Prediction Uncertainty of Hydrological Models
Modeling hydrological processes for managing the available water resources effectively is
often complex due to the existence of high nonlinearity, and the associated prediction …
often complex due to the existence of high nonlinearity, and the associated prediction …
[HTML][HTML] Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach
Y Zhou, L Marshall, D Li, Z Liang, L Chen, A Sharma - Journal of Hydrology, 2024 - Elsevier
Accurately characterizing the spatial variability of tension water storage capacity (TWC)
within a catchment is challenging due to limited in-situ hydrologic data availability …
within a catchment is challenging due to limited in-situ hydrologic data availability …
A parameter allocation approach for flow simulation using the WetSpa‐Python model
A Bahremand, S Ahmadyousefi, V Sheikh… - Hydrological …, 2021 - Wiley Online Library
Hydrologic models are simplified representations of natural hydrologic systems. Since these
models rely on assumptions and simplifications to capture some aspects of hydrological …
models rely on assumptions and simplifications to capture some aspects of hydrological …
Evaluation of conceptual rainfall-runoff models for different flow regimes and development of ensemble model
An increase in the frequency and intensity of both floods and droughts has been recently
observed due to an increase in climate variability. Especially, land-use change associated …
observed due to an increase in climate variability. Especially, land-use change associated …
Oferta hídrica superficial del humedal el Gallinazo, ubicado en Aguachica-Colombia
R Saldaña-Escorcia, RO Herrera… - … Agraria y Ambiental, 2023 - hemeroteca.unad.edu.co
Contextualización: Hoy en día los humedales se encuentran en deterioro a causa
principalmente de las actividades antrópicas que provocan procesos de sustitución y …
principalmente de las actividades antrópicas que provocan procesos de sustitución y …
Development of nonlinear parsimonious forest models using efficient expansion of the taylor series: Applications to site productivity and taper
The parameters of nonlinear forest models are commonly estimated with heuristic
techniques, which can supply erroneous values. The use of heuristic algorithms is partially …
techniques, which can supply erroneous values. The use of heuristic algorithms is partially …