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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

Water resources management, 2021-09, Vol.35 (12), p.4167-4187

2021

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Integrating nonstationary behaviors of typhoon and non-typhoon extreme rainfall events in East Asia

Scientific reports, 2017-07, Vol.7 (1), p.5097-9, Article 5097

2017

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A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1801

2020

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Climate informed flood frequency analysis and prediction in Montana using hierarchical Bayesian modeling

Geophysical research letters, 2008-03, Vol.35 (5), p.L05404-n/a

2008

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A Bayesian partial pooling approach to mean field bias correction of weather radar rainfall estimates: Application to Osungsan weather radar in South Korea

Journal of hydrology (Amsterdam), 2018-10, Vol.565, p.14-26

2018

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Drought in South Asia: A Review of Drought Assessment and Prediction in South Asian Countries

Atmosphere, 2021-03, Vol.12 (3), p.369

2021

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Valorization of sewage sludge via non-catalytic transesterification

Environment international, 2019-10, Vol.131, p.105035-105035, Article 105035

2019

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Regional characterization of meteorological and agricultural drought in Baluchistan province, Pakistan

PloS one, 2024-08, Vol.19 (8), p.e0307147

2024

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Investigating the influence of natural events and anthropogenic activities on hydrological drought in South Korea

TAO : Terrestrial, atmospheric, and oceanic sciences, 2020-02, Vol.31 (1), p.85-96

2020

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Probabilistic long‐term hydrological drought forecast using Bayesian networks and drought propagation

Meteorological applications, 2020-01, Vol.27 (1), p.n/a

2020

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A new drought monitoring approach using three-dimensional drought properties based on a dynamic drought detection technique algorithm

Journal of hydrology. Regional studies, 2022-12, Vol.44, p.101270, Article 101270

2022

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A review on water governance in Sri Lanka: the lessons learnt for future water policy formulation

Water policy, 2021-04, Vol.23 (2), p.255-273

2021

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Uncertainty Quantification of Water Level Predictions from Radar‐based Areal Rainfall Using an Adaptive MCMC Algorithm

Water resources management, 2021-05, Vol.35 (7), p.2197-2213

2021

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Comprehensive drought risk assessment using structural equation modeling and objective weighting methods

Journal of hydrology. Regional studies, 2023-12, Vol.50, p.101538, Article 101538

2023

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Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.19095-19114

2024

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Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme

Hydrology and earth system sciences, 2016-05, Vol.20 (5), p.2019-2034

2016

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Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature

Water resources research, 2007-05, Vol.43 (5), p.W05407-n/a

2007

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Reassessing the frequency and severity of meteorological drought considering non-stationarity and copula-based bivariate probability

Journal of hydrology (Amsterdam), 2021-12, Vol.603, p.126948, Article 126948

2021

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A novel approach to a multi-model ensemble for climate change models: Perspectives on the representation of natural variability and historical and future climate

Weather and climate extremes, 2024-06, Vol.44, p.100688, Article 100688

2024

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Estimating Optimal Design Frequency and Future Hydrological Risk in Local River Basins According to RCP Scenarios

Water (Basel), 2022-03, Vol.14 (6), p.945

2022

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Modeling, challenges, and strategies for understanding impacts of climate extremes (droughts and floods) on water quality in Asia: A review

Environmental research, 2023-05, Vol.225, p.115617-115617, Article 115617

2023

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A spatial downscaling of soil moisture from rainfall, temperature, and AMSR2 using a Gaussian-mixture nonstationary hidden Markov model

Journal of hydrology (Amsterdam), 2018-09, Vol.564, p.1194-1207

2018

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Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Atmosphere, 2020-09, Vol.11 (9), p.1000

2020

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Assessment of regional drought risk under climate change using bivariate frequency analysis

Stochastic environmental research and risk assessment, 2018-12, Vol.32 (12), p.3439-3453

2018

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An integrated Bayesian approach to the probabilistic tsunami risk model for the location and magnitude of earthquakes: application to the eastern coast of the Korean Peninsula

Stochastic environmental research and risk assessment, 2018-05, Vol.32 (5), p.1243-1257

2018

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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

Integrating nonstationary behaviors of typhoon and non-typhoon extreme rainfall events in East Asia

A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling

Climate informed flood frequency analysis and prediction in Montana using hierarchical Bayesian modeling

A Bayesian partial pooling approach to mean field bias correction of weather radar rainfall estimates: Application to Osungsan weather radar in South Korea

Drought in South Asia: A Review of Drought Assessment and Prediction in South Asian Countries

Valorization of sewage sludge via non-catalytic transesterification

Regional characterization of meteorological and agricultural drought in Baluchistan province, Pakistan

Investigating the influence of natural events and anthropogenic activities on hydrological drought in South Korea

Probabilistic long‐term hydrological drought forecast using Bayesian networks and drought propagation

A new drought monitoring approach using three-dimensional drought properties based on a dynamic drought detection technique algorithm

A review on water governance in Sri Lanka: the lessons learnt for future water policy formulation

Uncertainty Quantification of Water Level Predictions from Radar‐based Areal Rainfall Using an Adaptive MCMC Algorithm

Comprehensive drought risk assessment using structural equation modeling and objective weighting methods

Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique

Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme

Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature

Reassessing the frequency and severity of meteorological drought considering non-stationarity and copula-based bivariate probability

A novel approach to a multi-model ensemble for climate change models: Perspectives on the representation of natural variability and historical and future climate

Estimating Optimal Design Frequency and Future Hydrological Risk in Local River Basins According to RCP Scenarios

Modeling, challenges, and strategies for understanding impacts of climate extremes (droughts and floods) on water quality in Asia: A review

A spatial downscaling of soil moisture from rainfall, temperature, and AMSR2 using a Gaussian-mixture nonstationary hidden Markov model

Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Assessment of regional drought risk under climate change using bivariate frequency analysis

An integrated Bayesian approach to the probabilistic tsunami risk model for the location and magnitude of earthquakes: application to the eastern coast of the Korean Peninsula

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