Abstract: Improving Forecasts Through Realistic Uncertainty Estimates: A Novel Data Driven Method for Model Uncertainty Quantification in Data Assimilation (2016 AGU Fall Meeting)

Improving Forecasts Through Realistic Uncertainty Estimates: A Novel Data Driven Method for Model Uncertainty Quantification in Data Assimilation

Sahani Darshika Pathiraja¹, Hamid Moradkhani², Lucy Amanda Marshall¹, Ashish Sharma³ and Gery Geenens⁴, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)Portland State University, Portland, OR, United States, (3)University of New South Wales, Sydney, NSW, Australia, (4)University of New South Wales, School of Mathematics and Statistics, Sydney, Australia

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