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Saharan Dust Transport Predictability Utilizing a Subseasonal Experiment (SubX) Model
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2021
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Source: Journal of Geophysical Research: Atmospheres, 126(7)
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Journal Title:Journal of Geophysical Research: Atmospheres
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Description:Prediction of Saharan dust customarily requires complex aerosols models and observations. A previous study of the Miami, Florida dust record in conjunction to reanalysis data discovered a possible source of subseasonal predictability using a dust-transport-efficiency (DTE) index. Development of the Subseasonal Forecast Experiment (SubX) has expanded global forecast products; producing multi-model ensemble forecasts out to 45 days. Retrospective forecast data from the Community Climate System Model version 4.0 (CCSM4) is used in direct comparison to National Centers for Environmental Prediction (NCEP) reanalysis to evaluate the CCSM4 subseasonal forecast and DTE index prediction skill of weekly
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Source:Journal of Geophysical Research: Atmospheres, 126(7)
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ISSN:2169-897X;2169-8996;
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Rights Information:Other
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Compliance:Library
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