A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Atmospheric Science,Geography, Planning and Development
Reference74 articles.
1. MLP ensembles improve long term prediction accuracy over single networks;Adeodato;Int. J. Forecast.,2011
2. A novel weighted ensemble technique for time series forecasting;Adhikari,2012
3. Correcting temperature and humidity forecasts using Kalman filtering: potential for agricultural protection in Northern Greece;Anadranistakis;Atmos. Res.,2004
4. Energy efficiency vs resiliency to extreme heat and power outages: the role of evolving building energy codes;Baniassadi;Build. Environ.,2018
5. Bias-free rainfall forecast and temperature trend-based temperature forecast using T-170 model output during the monsoon season;Bhardwaj;Meteorol. Appl.,2007
Cited by 31 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. Improving Short-Term, Near-Surface Temperature Forecasts by Integrating Weather Pattern Information into Model Output Statistics;Monthly Weather Review;2024-08
2. Development of a Temperature Prediction Method Combining Deep Neural Networks and a Kalman Filter;J METEOROL SOC JPN;2024
3. Machine Learning-Based Temperature and Wind Forecasts in the Zhangjiakou Competition Zone during the Beijing 2022 Winter Olympic Games;Journal of Meteorological Research;2024-08
4. Forecasting urban temperatures through crowdsourced data from Citizen Weather Stations;Urban Climate;2024-07
5. Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature;Air Quality, Atmosphere & Health;2024-06-29
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