Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability

2 January 2020

Papers citing "Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability"

11 / 11 papers shown

Title
Ensemble learning for blending gridded satellite and gauge-measured precipitation data Georgia Papacharalampous Hristos Tyralis N. Doulamis Anastasios Doulamis 37 8 0 09 Jul 2023
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles Hristos Tyralis Georgia Papacharalampous N. Doulamis Anastasios Doulamis 26 7 0 02 Feb 2023
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 67 11 0 31 Dec 2022
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 35 15 0 17 Dec 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 32 28 0 17 Jun 2022
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets Georgia Papacharalampous Hristos Tyralis AI4TS 28 10 0 13 Apr 2022
What is the best RNN-cell structure for forecasting each time series behavior? Rohaifa Khaldi A. E. Afia R. Chiheb Siham Tabik AI4TS 22 32 0 15 Mar 2022
Hydroclimatic time series features at multiple time scales Georgia Papacharalampous Hristos Tyralis Y. Markonis M. Hanel AI4TS 27 3 0 02 Dec 2021
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale Georgia Papacharalampous Hristos Tyralis I. Pechlivanidis S. Grimaldi E. Volpi AI4TS 12 12 0 25 Jul 2021
Probabilistic water demand forecasting using quantile regression algorithms Georgia Papacharalampous A. Langousis 21 7 0 16 Apr 2021
Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity Georgia Papacharalampous Hristos Tyralis S. Papalexiou A. Langousis S. Khatami E. Volpi S. Grimaldi 30 32 0 24 Oct 2020