Machine learning based algorithms for uncertainty quantification in numerical weather prediction models-Reference-Cited by-同舟云学术

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Machine learning based algorithms for uncertainty quantification in numerical weather prediction models

Published:2021-03 Issue: Volume:50 Page:101295
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Moosavi Azam,Rao Vishwas,Sandu Adrian

Funder

U.S. Department of Energy

Air Force Office of Scientific Research

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference63 articles.

1. Different approaches to model error formulation in 4D-Var: a study with high-resolution advection schemes;Akella;Tellus A,2009

2. The utility of Hierarchical Dirichlet Process for relationship detection of latent constructs;Asgari;Academy of Management Proceedings,2017

3. Cluster Sampling Filters for Non-Gaussian Data Assimilation;Attia,2016

4. Bagging predictors;Breiman;Mach. Learn.,1996

5. Random forests;Breiman;Mach. Learn.,2001

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