Advances in Hydrological Forecasting
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- Haksu Lee & Haojing Shen & Dong-Jun Seo, 2020. "Mean Field Bias-Aware State Updating via Variational Assimilation of Streamflow into Distributed Hydrologic Models," Forecasting, MDPI, vol. 2(4), pages 1-23, December.
- Indira Pokhrel & Ajay Kalra & Md Mafuzur Rahaman & Ranjeet Thakali, 2020. "Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina," Forecasting, MDPI, vol. 2(3), pages 1-23, August.
- Md Abul Ehsan Bhuiyan & Feifei Yang & Nishan Kumar Biswas & Saiful Haque Rahat & Tahneen Jahan Neelam, 2020. "Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin," Forecasting, MDPI, vol. 2(3), pages 1-19, July.
- Christos Giannaros & Elissavet Galanaki & Vassiliki Kotroni & Konstantinos Lagouvardos & Christina Oikonomou & Haris Haralambous & Theodore M. Giannaros, 2021. "Pre-Operational Application of a WRF-Hydro-Based Fluvial Flood Forecasting System in the Southeast Mediterranean," Forecasting, MDPI, vol. 3(2), pages 1-10, June.
- Limin Wu, 2020. "Tuning the Bivariate Meta-Gaussian Distribution Conditionally in Quantifying Precipitation Prediction Uncertainty," Forecasting, MDPI, vol. 2(1), pages 1-19, January.
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- Anderson, Michael & Drummond, Michael & Taylor, David & McGuire, Alistair & Carter, Paul & Mossialos, Elias, 2022. "Promoting innovation while controlling cost: The UK's approach to health technology assessment," Health Policy, Elsevier, vol. 126(3), pages 224-233.
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