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Probabilistic Wave Forecast for Week 2 and beyond Based on NOAA's Global Ensemble Forecast System.

• Authors : Campos, Ricardo M.¹ (AUTHOR) ; Figurskey, Darin² (AUTHOR); Mehra, Avichal² (AUTHOR)

• Source: Weather & Forecasting. Aug2025, Vol. 40 Issue 8, p1511-1527. 17p.

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Uncertainty Analysis of the Extreme Rainstorm in Beijing on July 2023 Based on the Convection-Allowing Ensemble Forecast System of North China.

• Authors : Zhang, Hanbin¹ (AUTHOR); Wang, Jingzhuo² (AUTHOR) ; Liu, Yujue¹ (AUTHOR)

• Source: Journal of Hydrometeorology. Apr2025, Vol. 26 Issue 4, p415-429. 15p.

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Prediction of PM 2.5 Concentration Based on Deep Learning, Multi-Objective Optimization, and Ensemble Forecast.

• Authors : Gao, Zihang¹ (AUTHOR); Mo, Xinyue¹ (AUTHOR) ; Li, Huan¹ (AUTHOR)

Subjects: *Air quality monitoring stations; *Deep learning; *Air pollution preventionBeijing (China)

• Source: Sustainability (2071-1050). Jun2024, Vol. 16 Issue 11, p4643. 15p.

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Errors of Opportunity: Using Neural Networks to Predict Errors in the Global Ensemble Forecast System (GEFS) on S2S Time Scales.

• Authors : Cahill, Jack¹ (AUTHOR) ; Barnes, Elizabeth A.¹ (AUTHOR); Maloney, Eric D.¹ (AUTHOR)

• Source: Weather & Forecasting. Dec2024, Vol. 39 Issue 12, p1817-1831. 15p.

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Predictability in process-based ensemble forecast of influenza.

• Authors : Pei S; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America.; Cane MA

Subjects: Forecasting/Forecasting/Forecasting/*methods ; Influenza, Human/Influenza, Human/Influenza, Human/*epidemiology; Computer Simulation

• Source: PLoS computational biology [PLoS Comput Biol] 2019 Feb 28; Vol. 15 (2), pp. e1006783. Date of Electronic Publication: 2019 Feb 28 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Improving the Forecasting of El Niño Amplitude Based on an Ensemble Forecast Strategy for Westerly Wind Bursts.

• Authors : Ji, Chaopeng^1,2,3 (AUTHOR); Mu, Mu^1,2,3 (AUTHOR); Fang, Xianghui^1,2,3 (AUTHOR)

• Source: Journal of Climate. Dec2023, Vol. 36 Issue 24, p8675-8694. 20p.

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Improving High-Resolution Ensemble Forecast (HREF) System Mesoscale Snowband Forecasts with Random Forests.

• Authors : Radford, Jacob T.^1,2 (AUTHOR) ; Lackmann, Gary M.¹ (AUTHOR)

• Source: Weather & Forecasting. Sep2023, Vol. 38 Issue 9, p1695-1706. 12p.

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Exploring Ensemble Forecast Sensitivity to Observations for a Convective-Scale Data Assimilation System over the Dallas–Fort Worth Testbed.

• Authors : Gasperoni, Nicholas A.¹ (AUTHOR) ; Wang, Xuguang¹ (AUTHOR); Brewster, Keith A.² (AUTHOR)

• Source: Monthly Weather Review. Feb2024, Vol. 152 Issue 2, p571-588. 18p.

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Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days

• Authors : Muhammad Qamar Raza; Nadarajah Mithulananthan; Jiaming Li

Subjects: Signal Processing (eess.SP); ensemble forecast framework (ENFF); 0211 other engineering and technologies

• Source: IEEE Transactions on Sustainable Energy. 11:27-36

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Key Deviation Analysis of Initial Fields on Ensemble Forecast in South China During the Rainfall Event on May 21, 2020.

• Authors : LI Ji-hang¹; XIAO Hui¹; DING Wei-yu¹

• Source: Journal of Tropical Meteorology. Dec2021, Vol. 27 Issue 4, p418-427. 10p.

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