Evaluation of precipitation forecasts from NOAA global forecast system in hydropower operation | Citedby Results | Journal of Hydroinformatics | IWA Publishing

Skip to Main Content

Skip Nav Destination

Evaluation of precipitation forecasts from NOAA global forecast system in hydropower operation

Journal of Hydroinformatics (2011) 13 (1): 81–95.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Hotspots of Predictability: Identifying Regions of High Precipitation Predictability at Seasonal Timescales From Limited Time Series Observations

Antonios Mamalakis
Amir AghaKouchak
James T. Randerson
Efi Foufoula‐Georgiou

Water Resources Research (2022) 58 (5)

A Mutual Information Theory‐Based Approach for Assessing Uncertainties in Deterministic Multi‐Category Precipitation Forecasts

Yawei Ning
Guohua Liang
Wei Ding
Xiaogang Shi
Yurui Fan
Jianxia Chang
Yimin Wang
Bin He
Huicheng Zhou

Water Resources Research (2022) 58 (11)

Short-term daily precipitation forecasting with seasonally-integrated autoencoder

Donlapark Ponnoprat

Applied Soft Computing (2021) 102: 107083.

A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecasts

Carlos H.R. Lima
Hyun-Han Kwon
Yong-Tak Kim

Journal of Hydrology (2021) 599: 126317.

A multi-model integration method for monthly streamflow prediction: modified stacking ensemble strategy

Yujie Li
Zhongmin Liang
Yiming Hu
Binquan Li
Bin Xu
Dong Wang

Journal of Hydroinformatics (2020) 22 (2): 310.

A web-based decision support system for smart dam operations using weather forecasts

Shahryar Khalique Ahmad
Faisal Hossain

Journal of Hydroinformatics (2019) 21 (5): 687.

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

Majid Dehghani
Hossein Riahi-Madvar
Farhad Hooshyaripor
Amir Mosavi
Shahaboddin Shamshirband
Edmundas Zavadskas
Kwok-wing Chau

Energies (2019) 12 (2): 289.