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A Hybrid Physics-Informed SMAP-LSTM Framework for Monthly Streamow Forecasting in a Data-Scarce Semi-Arid Basin: Application to the Utinga River Basin, Bahia, Brazil

https://doi.org/10.2139/ssrn.6517434
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep learning, hydrological processes and the uniqueness of place
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Reservoir Management Using Coupled Atmospheric and Hydrological Models: The Brazilian Semi-Arid Case
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Calibration of conceptual rainfall-runoff models by selected differential evolution and particle swarm optimization variants
inferredcites →https://doi.org/10.1016/j.jhydrol.2022.128618openalex-snapshot
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
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A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
inferredcites →https://doi.org/10.1029/2020wr028091openalex-snapshot
What Role Does Hydrological Science Play in the Age of Machine Learning?
inferredcites →https://doi.org/10.1080/02626667909491834openalex-snapshot
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
inferredcites →https://doi.org/10.1080/02626668809491261openalex-snapshot
Problems of rainfall-runoff modelling in arid and semiarid regions
inferredcites →https://doi.org/10.1109/78.650093openalex-snapshot
Bidirectional recurrent neural networks
inferredcites →https://doi.org/10.1111/1752-1688.12964openalex-snapshot
Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics
inferredcites →https://doi.org/10.1111/ecog.02881openalex-snapshot
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
inferredcites →https://doi.org/10.1111/jawr.12057openalex-snapshot
Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.13031/2013.23153openalex-snapshot
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
inferredcites →https://doi.org/10.1623/hysj.52.5.878openalex-snapshot
The MGB-IPH model for large-scale rainfall—runoff modelling
inferredcites →https://doi.org/10.2166/nh.2024.016openalex-snapshot
A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling
inferredcites →https://doi.org/10.2307/210739openalex-snapshot
An Approach toward a Rational Classification of Climate
inferredcites →https://doi.org/10.3390/w17091405openalex-snapshot
Runoff Prediction Method Based on Pangu-Weather
inferredcites →https://doi.org/10.5194/hess-22-6005-2018openalex-snapshot
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
inferredcites →https://doi.org/10.5194/hess-23-1951-2019openalex-snapshot
Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?
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