On the public citation graph

Characterizing the Evolution of Extreme Water Levels with Long Short-Term Memory Station-Based Approximated Models and Transfer Learning Techniques

https://doi.org/10.2139/ssrn.4862037

0 signed · 82 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2014jc010093openalex-extracted

Simulating extreme total water levels using a time‐dependent, extreme value approach

inferredcites →https://doi.org/10.1002/2016gl071020openalex-extracted

The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches

inferredcites →https://doi.org/10.1002/2018gl077524openalex-extracted

Defining Flood Zone Transitions in Low‐Gradient Coastal Regions

inferredcites →https://doi.org/10.1002/widm.1484openalex-extracted

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

inferredcites →https://doi.org/10.1007/978-3-030-01424-7_27openalex-extracted

A Survey on Deep Transfer Learning

inferredcites →https://doi.org/10.1007/978-3-031-25891-6_30openalex-extracted

On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals

inferredcites →https://doi.org/10.1007/s00521-020-05334-3openalex-extracted

Exploring the best sequence LSTM modeling architecture for flood prediction

inferredcites →https://doi.org/10.1007/s10661-022-10029-4openalex-extracted

Multi-step short-term $$PM_{2.5}$$ forecasting for enactment of proactive environmental regulation strategies

inferredcites →https://doi.org/10.1007/s11069-020-04470-2openalex-extracted

Flood exposure and social vulnerability in the United States

inferredcites →https://doi.org/10.1007/s11069-023-05939-6openalex-extracted

Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast

inferredcites →https://doi.org/10.1007/s11269-022-03240-yopenalex-extracted

A Review of AI Methods for the Prediction of High-Flow Extremal Hydrology

inferredcites →https://doi.org/10.1007/s12205-023-2469-7openalex-extracted

Long Short-Term Memory (LSTM) Based Model for Flood Forecasting in Xiangjiang River

inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-extracted

River flow forecasting through conceptual models part I — A discussion of principles

inferredcites →https://doi.org/10.1016/j.advwatres.2019.04.009openalex-extracted

Linking statistical and hydrodynamic modeling for compound flood hazard assessment in tidal channels and estuaries

inferredcites →https://doi.org/10.1016/j.advwatres.2020.103721openalex-extracted

Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting

inferredcites →https://doi.org/10.1016/j.advwatres.2021.104059openalex-extracted

Toward improved river boundary conditioning for simulation of extreme floods

inferredcites →https://doi.org/10.1016/j.atmosres.2020.105339openalex-extracted

How well is outer tropical cyclone size represented in the ERA5 reanalysis dataset?

inferredcites →https://doi.org/10.1016/j.coastaleng.2021.104024openalex-extracted

Rapid prediction of peak storm surge from tropical cyclone track time series using machine learning

inferredcites →https://doi.org/10.1016/j.coastaleng.2021.104057openalex-extracted

Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation

inferredcites →https://doi.org/10.1016/j.envsoft.2019.06.002openalex-extracted

A comprehensive review of compound inundation models in low-gradient coastal watersheds

inferredcites →https://doi.org/10.1016/j.envsoft.2022.105398openalex-extracted

Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping

inferredcites →https://doi.org/10.1016/j.eswa.2021.115511openalex-extracted

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

inferredcites →https://doi.org/10.1016/j.geomorph.2019.106871openalex-extracted

Natural and anthropogenic-induced changes in a tidal inlet: Morphological evolution of Oregon Inlet

inferredcites →https://doi.org/10.1016/j.ijforecast.2020.06.008openalex-extracted

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

inferredcites →https://doi.org/10.1016/j.jhydrol.2009.08.003openalex-extracted

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

inferredcites →https://doi.org/10.1016/j.jhydrol.2015.09.069openalex-extracted

Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping

inferredcites →https://doi.org/10.1016/j.jhydrol.2020.125734openalex-extracted

Predicting flood susceptibility using LSTM neural networks

inferredcites →https://doi.org/10.1016/j.jhydrol.2021.126777openalex-extracted

Improving urban flood susceptibility mapping using transfer learning

inferredcites →https://doi.org/10.1016/j.jhydrol.2022.128577openalex-extracted

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

inferredcites →https://doi.org/10.1016/j.neucom.2020.04.110openalex-extracted

Interpretable spatio-temporal attention LSTM model for flood forecasting

inferredcites →https://doi.org/10.1016/j.oceaneng.2021.108765openalex-extracted

Accurate estimation of tidal level using bidirectional long short-term memory recurrent neural network

inferredcites →https://doi.org/10.1016/j.oceaneng.2021.109116openalex-extracted

Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods

inferredcites →https://doi.org/10.1016/j.ocemod.2016.06.008openalex-extracted

A multivariate extreme wave and storm surge climate emulator based on weather patterns

inferredcites →https://doi.org/10.1016/j.ocemod.2019.03.004openalex-extracted

Influence of storm timing and forward speed on tides and storm surge during Hurricane Matthew

inferredcites →https://doi.org/10.1016/j.ocemod.2024.102334openalex-extracted

Bias correction of operational storm surge forecasts using Neural Networks

inferredcites →https://doi.org/10.1016/j.procir.2021.03.088openalex-extracted

A survey on long short-term memory networks for time series prediction

inferredcites →https://doi.org/10.1016/j.scitotenv.2021.146470openalex-extracted

Sea level rise impacts on estuarine dynamics: A review

inferredcites →https://doi.org/10.1016/j.scitotenv.2021.146927openalex-extracted

From local to regional compound flood mapping with deep learning and data fusion techniques

inferredcites →https://doi.org/10.1029/2018wr022643openalex-extracted

A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists

inferredcites →https://doi.org/10.1029/2020wr027544openalex-extracted

Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment

inferredcites →https://doi.org/10.1029/2021ef002285openalex-extracted

Projecting Climate Dependent Coastal Flood Risk With a Hybrid Statistical Dynamical Model

inferredcites →https://doi.org/10.1029/2022wr032248openalex-extracted

Upskilling Low‐Fidelity Hydrodynamic Models of Flood Inundation Through Spatial Analysis and Gaussian Process Learning

inferredcites →https://doi.org/10.1029/2023av000996openalex-extracted

Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?

inferredcites →https://doi.org/10.1029/2023ef003649openalex-extracted

Coevolution of Extreme Sea Levels and Sea‐Level Rise Under Global Warming

inferredcites →https://doi.org/10.1038/d41586-021-01750-0openalex-extracted

Five ways to ensure flood-risk research helps the most vulnerable

inferredcites →https://doi.org/10.1038/nclimate2736openalex-extracted

Increasing risk of compound flooding from storm surge and rainfall for major US cities

inferredcites →https://doi.org/10.1038/ncomms16075openalex-extracted

Understanding extreme sea levels for broad-scale coastal impact and adaptation analysis

inferredcites →https://doi.org/10.1038/s41467-020-15752-5openalex-extracted

Non-linear interaction modulates global extreme sea levels, coastal flood exposure, and impacts

inferredcites →https://doi.org/10.1038/s41467-021-24008-9openalex-extracted

A global analysis of extreme coastal water levels with implications for potential coastal overtopping

inferredcites →https://doi.org/10.1038/s41558-021-01265-6openalex-extracted

Inequitable patterns of US flood risk in the Anthropocene

inferredcites →https://doi.org/10.1038/s41586-024-07145-1openalex-extracted

Global prediction of extreme floods in ungauged watersheds

inferredcites →https://doi.org/10.1038/s41598-019-40157-wopenalex-extracted

Spatiotemporal patterns of extreme sea levels along the western North-Atlantic coasts

inferredcites →https://doi.org/10.1038/s41598-021-96674-0openalex-extracted

Exploring deep learning capabilities for surge predictions in coastal areas

inferredcites →https://doi.org/10.1038/s41893-022-01000-9openalex-extracted

Uneven burden of urban flooding

inferredcites →https://doi.org/10.1038/s43017-020-0060-zopenalex-extracted

A typology of compound weather and climate events

inferredcites →https://doi.org/10.1038/s43017-023-00450-9openalex-extracted

Differentiable modelling to unify machine learning and physical models for geosciences

inferredcites →https://doi.org/10.1038/s43247-024-01206-zopenalex-extracted

Stochastic simulation of storm surge extremes along the contiguous United States coastlines using the max-stable process

inferredcites →https://doi.org/10.1038/s44221-023-00106-4openalex-extracted

Fundamental limits to flood inundation modelling

inferredcites →https://doi.org/10.1061/(asce)nh.1527-6996.0000441openalex-extracted

Vulnerability Indicators for Coastal Roadways Based on Barrier Island Morphology and Shoreline ChangePredictions

inferredcites →https://doi.org/10.1080/1573062x.2021.1893356openalex-extracted

Assessment of the growing threat of urban flooding: a case study of a national survey

inferredcites →https://doi.org/10.1088/1748-9326/ab89d6openalex-extracted

Estimation of global coastal sea level extremes using neural networks

inferredcites →https://doi.org/10.1109/access.2020.2995044openalex-extracted

Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks

inferredcites →https://doi.org/10.1109/tgrs.2023.3240097openalex-extracted

Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine

inferredcites →https://doi.org/10.1109/tsusc.2020.2983097openalex-extracted

Robust Forecasting of River-Flow Based on Convolutional Neural Network

inferredcites →https://doi.org/10.1111/1752-1688.12947openalex-extracted

Extreme Water Level Simulation and Component Analysis in Delaware Estuary during Hurricane Isabel

inferredcites →https://doi.org/10.1111/1752-1688.12952openalex-extracted

Inter‐Model Comparison of Delft3D‐FM and 2D HEC‐RAS for Total Water Level Prediction in Coastal to Inland Transition Zones

inferredcites →https://doi.org/10.1126/sciadv.aaw5531openalex-extracted

Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change

inferredcites →https://doi.org/10.1126/sciadv.abm8438openalex-extracted

A globally consistent local-scale assessment of future tropical cyclone risk

inferredcites →https://doi.org/10.1145/3582078openalex-extracted

Recent Advances in Bayesian Optimization

inferredcites →https://doi.org/10.1146/annurev-fluid-030121-113138openalex-extracted

Flood Inundation Prediction

inferredcites →https://doi.org/10.1175/waf-d-21-0091.1openalex-extracted

Hurricane Forecasting: A Novel Multimodal Machine Learning Framework

inferredcites →https://doi.org/10.14569/ijacsa.2022.0130351openalex-extracted

Bayesian Hyperparameter Optimization and Ensemble Learning for Machine Learning Models on Software Effort Estimation

inferredcites →https://doi.org/10.3389/feart.2022.991667openalex-extracted

Hydrodynamics of a tidal inlet under gray to green coastal protection interventions

inferredcites →https://doi.org/10.3389/frwa.2021.609231openalex-extracted

Enhancing Flood Hazard Assessments in Coastal Louisiana Through Coupled Hydrologic and Surge Processes

inferredcites →https://doi.org/10.3389/frwa.2023.1233899openalex-extracted

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

inferredcites →https://doi.org/10.3390/app12010317openalex-extracted

Att-BiL-SL: Attention-Based Bi-LSTM and Sequential LSTM for Describing Video in the Textual Formation

inferredcites →https://doi.org/10.3390/rs10071119openalex-extracted

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

inferredcites →https://doi.org/10.3390/w14091469openalex-extracted

Improving Jakarta’s Katulampa Barrage Extreme Water Level Prediction Using Satellite-Based Long Short-Term Memory (LSTM) Neural Networks

inferredcites →https://doi.org/10.5194/hess-26-4345-2022openalex-extracted

Deep learning methods for flood mapping: a review of existing applications and future research directions

inferredcites →https://doi.org/10.5194/hess-28-4187-2024openalex-extracted

HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin

inferredcites →https://doi.org/10.5194/hess-28-945-2024openalex-extracted

Toward interpretable LSTM-based modeling of hydrological systems

inferredcites →https://doi.org/10.5194/nhess-23-809-2023openalex-extracted

Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.