23 citations as recorded by crossref.

1. Evaluation of subseasonal precipitation forecasts in the Uruguay River basin J. Badagian et al. 10.1002/joc.8634
2. Subseasonal Forecast of Surface Air Temperature Using Superensemble Approaches: Experiments over Northeast Asia for 2018 S. Zhu et al. 10.1175/WAF-D-20-0096.1
3. Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al. 10.3389/feart.2022.786223
4. High-resolution ensemble projections and uncertainty assessment of regional climate change over China in CORDEX East Asia H. Gu et al. 10.5194/hess-22-3087-2018
5. Current and future potential of solar and wind energy over Africa using the RegCM4 CORDEX-CORE ensemble W. Sawadogo et al. 10.1007/s00382-020-05377-1
6. Multi-Model Ensemble Prediction of Summer Precipitation in China Based on Machine Learning Algorithms J. Yang et al. 10.3390/atmos13091424
7. Improving the skill of medium range ensemble rainfall forecasts over India using MoES grand ensemble (MGE)-part-I A. Dube et al. 10.1007/s00703-024-01035-x
8. Ready, Set & Go! An anticipatory action system against droughts G. Guimarães Nobre et al. 10.5194/nhess-24-4661-2024
9. Multi-output Deep Learning for Bus Arrival Time Predictions N. Petersen et al. 10.1016/j.trpro.2019.09.025
10. Performance of statistical and machine learning ensembles for daily temperature downscaling X. Li et al. 10.1007/s00704-020-03098-3
11. Assessing the coastal hazard of Medicane Ianos through ensemble modelling C. Ferrarin et al. 10.5194/nhess-23-2273-2023
12. Improved forecasting of thermospheric densities using multi-model ensembles S. Elvidge et al. 10.5194/gmd-9-2279-2016
13. Improving Estuarine Hydrodynamic Forecasts Through Numerical Model Ensembles I. Iglesias et al. 10.3389/fmars.2022.812255
14. Evaluation and correction of sub-seasonal dynamic model forecast of precipitation in eastern China L. Liu et al. 10.1007/s00382-023-06788-6
15. Performance‐based projection of the climate‐change effects on precipitation extremes in East Asia using two metrics S. Kwon et al. 10.1002/joc.5954
16. Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia D. Faidah et al. 10.1155/2022/9779829
17. Multi‐Model Ensembles for Upper Atmosphere Models S. Elvidge et al. 10.1029/2022SW003356
18. Two Models Solutions for the Douro Estuary: Flood Risk Assessment and Breakwater Effects I. Iglesias et al. 10.1007/s12237-018-0477-5
19. Performance of State‐of‐the‐Art C3S European Seasonal Climate Forecast Models for Mean and Extreme Precipitation Over Africa S. Gebrechorkos et al. 10.1029/2021WR031480
20. High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak N. Wu et al. 10.1038/s42005-025-02302-y
21. Applicability of Multimodel Ensemble Prediction of Heavy Precipitation for the Perm Region: A Case Study for the Summer of 2019 A. Vetrov & S. Kostarev 10.3103/S1068373921070037
22. Improvements in precipitation simulation over South America for past and future climates via multi-model combination M. Coutinho et al. 10.1007/s00382-016-3346-6
23. Performance of multi-model ensembles for the simulation of temperature variability over Ontario, Canada A. Samouly et al. 10.1007/s12665-018-7701-2