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Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios

Journal of hydrology (Amsterdam), 2014-03, Vol.510, p.182-196

2014

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EMD and LSTM Hybrid Deep Learning Model for Predicting Sunspot Number Time Series with a Cyclic Pattern

Solar physics, 2020-06, Vol.295 (6), Article 82

Lee, Taesam

2020

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Latent negative precipitation for the delineation of a zero-precipitation area in spatial interpolations

Scientific reports, 2021-10, Vol.11 (1), p.20426-20426, Article 20426

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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Spatial Downscaling of MODIS Chlorophyll-a with Genetic Programming in South Korea

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1412

2020

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KNN Local Linear Regression for Demarcating River Cross-Sections with Point Cloud Data from UAV Photogrammetry URiver-X

Remote sensing (Basel, Switzerland), 2024-05, Vol.16 (10), p.1820

2024

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UAV Photogrammetry-based Sea Level Establishment for a Storm Surge Early Warning System in Wolpo-beach, South Korea

KSCE Journal of Civil Engineering, 2024, 28(6), , pp.2505-2514

2024

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Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Geoscientific Model Development, 2019-03, Vol.12 (3), p.1189-1207

2019

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Increasing Neurons or Deepening Layers in Forecasting Maximum Temperature Time Series?

Atmosphere, 2020-10, Vol.11 (10), p.1072

2020

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Multisite stochastic simulation of daily precipitation from copula modeling with a gamma marginal distribution

Theoretical and applied climatology, 2018-05, Vol.132 (3-4), p.1089-1098

Lee, Taesam

2018

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KNN-based local linear regression for the analysis and simulation of low flow extremes under climatic influence

Climate dynamics, 2017-11, Vol.49 (9-10), p.3493-3511

2017

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Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management

Earth's future, 2023-07, Vol.11 (7), p.n/a

2023

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Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization

Atmosphere, 2020-05, Vol.11 (5), p.487

2020

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ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management

Machine learning: science and technology, 2024-03, Vol.5 (1), p.15019

2024

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Changes in the wintertime hydroclimatic regime in St. John River, Maine, USA

Journal of water and climate change, 2021-08, Vol.12 (5), p.2082-2092

2021

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Generating More Hydroelecticity While Ensuring the Safety: Resilience Assessment Study for Bukhangang Watershed in South Korea

Applied sciences, 2022-05, Vol.12 (9), p.4583

2022

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Remote Sensing-Based Rainfall Variability for Warming and Cooling in Indo-Pacific Ocean with Intentional Statistical Simulations

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1458

2020

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Reanalysis Product-Based Nonstationary Frequency Analysis for Estimating Extreme Design Rainfall

Atmosphere, 2021-01, Vol.12 (2), p.191

2021

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Deep Learning for Hydrometeorology and Environmental Science

1st Edition 2021, 2021

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Deep dependence in hydroclimatological variables

Applied intelligence (Dordrecht, Netherlands), 2024-02, Vol.54 (4), p.3629-3649

2024

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Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter

Advances in meteorology, 2016-01, Vol.2016, p.1-14

2016

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Nonparametric temporal downscaling with event-based population generating algorithm for RCM daily precipitation to hourly: Model development and performance evaluation

Journal of hydrology (Amsterdam), 2017-04, Vol.547, p.498-516

2017

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Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States

Water resources management, 2020-10, Vol.34 (13), p.4113-4131

2020

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Statistical Downscaling for Hydrological and Environmental Applications

1st edition., 2019

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Application of Harmony Search to Design Storm Estimation from Probability Distribution Models

Journal of Applied Mathematics, 2013-01, Vol.2013, p.1-11

2013

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Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios

EMD and LSTM Hybrid Deep Learning Model for Predicting Sunspot Number Time Series with a Cyclic Pattern

Latent negative precipitation for the delineation of a zero-precipitation area in spatial interpolations

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

Spatial Downscaling of MODIS Chlorophyll-a with Genetic Programming in South Korea

KNN Local Linear Regression for Demarcating River Cross-Sections with Point Cloud Data from UAV Photogrammetry URiver-X

UAV Photogrammetry-based Sea Level Establishment for a Storm Surge Early Warning System in Wolpo-beach, South Korea

Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Increasing Neurons or Deepening Layers in Forecasting Maximum Temperature Time Series?

Multisite stochastic simulation of daily precipitation from copula modeling with a gamma marginal distribution

KNN-based local linear regression for the analysis and simulation of low flow extremes under climatic influence

Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management

Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization

ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management

Changes in the wintertime hydroclimatic regime in St. John River, Maine, USA

Generating More Hydroelecticity While Ensuring the Safety: Resilience Assessment Study for Bukhangang Watershed in South Korea

Remote Sensing-Based Rainfall Variability for Warming and Cooling in Indo-Pacific Ocean with Intentional Statistical Simulations

Reanalysis Product-Based Nonstationary Frequency Analysis for Estimating Extreme Design Rainfall

Deep Learning for Hydrometeorology and Environmental Science

Deep dependence in hydroclimatological variables

Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter

Nonparametric temporal downscaling with event-based population generating algorithm for RCM daily precipitation to hourly: Model development and performance evaluation

Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States

Statistical Downscaling for Hydrological and Environmental Applications

Application of Harmony Search to Design Storm Estimation from Probability Distribution Models

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