Multi-Model Communication and Data Assimilation for Mitigating Model Error and Improving Forecasts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11401-019-0157-1.pdf
Reference108 articles.
1. Benedict, J. J., Maloney, E. D., Sobel, A. H., et al., Tropical intraseasonal variability in version 3 of the gfdl atmosphere model, J. Climate, 26(2), 2013, 426–449.
2. Biello, J. A. and Majda, A. J., A new multiscale model for the Madden-Julian oscillation, J. Atmos. Sei., 62, 2005, 1694–1721.
3. Branicki, M. and Majda, A. J., An information-theoretic framework for improving imperfect dynamical predictions via multi-model ensemble forecasts, J. Nonlin. Sci., 25(3), 2015, 489–538.
4. Brenowitz, N. D., Prenkel, Y. and Majda, A. J., Non-local convergence coupling in a simple stochastic convection model, Dynamics of Atmospheres and Oceans, 74, 2016, 30–49.
5. Brunet, G., Shapiro, M., Hoskins, B., et al., Collaboration of the weather and climate communities to advance subseasonal-to-seasonal prediction, Bull. Amer. Meteor. Soc, 91(10), 2010, 1397–1406.
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Estimating the time-evolving refractivity of a turbulent medium using optical beam measurements: a data assimilation approach;Journal of the Optical Society of America A;2024-05-06
2. Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes;Proceedings of the National Academy of Sciences;2024-04
3. Mitigating Model Error via a Multimodel Method and Application to Tropical Intraseasonal Oscillations;SIAM Journal on Applied Dynamical Systems;2023-11-03
4. A Universal Predictor‐Corrector Approach for Minimizing Artifacts Due To Mesh Refinement;Journal of Advances in Modeling Earth Systems;2023-11
5. A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting;Journal of Advances in Modeling Earth Systems;2023-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3