A new approach for Bayesian model averaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11430-011-4307-x.pdf
Reference22 articles.
1. Barnston A G, Mason S J, Goddard L, et al. Multimodel ensembling in seasonal climate forecasting at IRI. Bull Am Meteorol Soc, 2003, 84: 1783–1796
2. Grimitt E P, Mass C F. Initial results of a mesoscale short-range ensemble forecasting system over the Pacific Northwest. Weather Forecast, 2002, 17: 192–205
3. Molteni F, Buizza R, Palmer T N, et al. The ECWMF ensemble prediction system: Methodology and validation. Q J R Meteorol Soc 1996, 122: 73–119
4. Palmer T N, Alessandri A, Andersen U, et al. Development of a European Multi-model ensemble system for seasonal-to-interannual prediction (DEMETER). Bull Am Meteorol Soc, 2004, 85: 853–872
5. Raftery A E, Gneiting T, Balabdaoui F, et al. Using Bayesian model averaging to calibrate forecast ensembles. Mon Weather Rev, 2005, 133: 1155–1174
Cited by 17 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. Assessment of the effects of winter wheat scattering on SAR backscatter for soil moisture estimation based on a radiative transfer model;European Journal of Remote Sensing;2024-09-12
2. Performance evaluation of multi‐precipitation products fusion based on a novel dynamic K‐nearest neighbour Bayesian ensemble calibration framework;International Journal of Climatology;2024-06-11
3. Analysis of statistical post-processing methods for multi-model ensemble runoff forecasts in flood seasons;IOP Conference Series: Earth and Environmental Science;2022-10-01
4. Comparison of probabilistic post-processing approaches for improving numerical weather prediction-based daily and weekly reference evapotranspiration forecasts;Hydrology and Earth System Sciences;2020-03-03
5. Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics;Reliability Engineering & System Safety;2019-09
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