Diego A. Campos, Fernanda I. Cabello, Ángel G. Muñoz
{"title":"On the NextGen-Chile Forecast System: A Calibrated Multi-Model Ensemble Approach for Seasonal Precipitation Forecasts","authors":"Diego A. Campos, Fernanda I. Cabello, Ángel G. Muñoz","doi":"10.1002/joc.8747","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Development and dissemination of seasonal forecasts are integral components of the climate services provided by numerous meteorological services worldwide, offering estimates of meteorological variables on a seasonal time scale to aid local warning systems and decision-making processes. The World Meteorological Organization (WMO) recommends that operational seasonal forecasts be objective and that the process be traceable and reproducible, including the selection and calibration of models. Following these guidelines, the Chilean Meteorological Service (Dirección Meteorológica de Chile, DMC) has implemented the next generation of seasonal forecasts, NextGen-Chile. This new forecast system is based on a multi-model ensemble using state-of-the-art general circulation models (GCMs) from the calibrated North American Multi-Model Ensemble (NMME) project. The forecasts from the GCMs are calibrated using a canonical correlation analysis-based regression with a homogenised dataset of ground stations. The system is completed with two statistical models built using canonical correlation analysis on sea surface temperature (SST) in the ENSO and the Southwestern Pacific regions. Individually calibrated GCMs and statistical models are combined by weighing their hindcast skill to construct the final calibrated multi-model ensemble (CMME) prediction. A verification analysis of probabilistic re-forecasts during 2019–2021 has been performed, adding an average-based ensemble forecast (CMME-Mean). The CMME models outperformed the individual models in discrimination and showed less seasonal variability in performance than the individual models, adding consistency to the forecast. All metrics analysed during the verification process were maximised in the central region of Chile, which could be attributed to the high concentration of ground stations in the central region and the definition of a central region-centred domain for the CCA calculation. Looking into the near future of NextGen-Chile, a Flexible Seasonal Forecast is introduced as a more comprehensive approach for seasonal forecasts, allowing users and stakeholders to access information beyond the tercile seasonal forecast approach.</p>\n </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 4","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climatology","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/joc.8747","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Development and dissemination of seasonal forecasts are integral components of the climate services provided by numerous meteorological services worldwide, offering estimates of meteorological variables on a seasonal time scale to aid local warning systems and decision-making processes. The World Meteorological Organization (WMO) recommends that operational seasonal forecasts be objective and that the process be traceable and reproducible, including the selection and calibration of models. Following these guidelines, the Chilean Meteorological Service (Dirección Meteorológica de Chile, DMC) has implemented the next generation of seasonal forecasts, NextGen-Chile. This new forecast system is based on a multi-model ensemble using state-of-the-art general circulation models (GCMs) from the calibrated North American Multi-Model Ensemble (NMME) project. The forecasts from the GCMs are calibrated using a canonical correlation analysis-based regression with a homogenised dataset of ground stations. The system is completed with two statistical models built using canonical correlation analysis on sea surface temperature (SST) in the ENSO and the Southwestern Pacific regions. Individually calibrated GCMs and statistical models are combined by weighing their hindcast skill to construct the final calibrated multi-model ensemble (CMME) prediction. A verification analysis of probabilistic re-forecasts during 2019–2021 has been performed, adding an average-based ensemble forecast (CMME-Mean). The CMME models outperformed the individual models in discrimination and showed less seasonal variability in performance than the individual models, adding consistency to the forecast. All metrics analysed during the verification process were maximised in the central region of Chile, which could be attributed to the high concentration of ground stations in the central region and the definition of a central region-centred domain for the CCA calculation. Looking into the near future of NextGen-Chile, a Flexible Seasonal Forecast is introduced as a more comprehensive approach for seasonal forecasts, allowing users and stakeholders to access information beyond the tercile seasonal forecast approach.
季节预报的发展和传播是全世界众多气象服务机构提供的气候服务的组成部分,它提供季节性时间尺度的气象变量估计,以帮助地方预警系统和决策过程。世界气象组织(WMO)建议,可操作的季节预报应是客观的,过程应可追溯和可重复,包括模式的选择和校准。根据这些指导方针,智利气象局(Dirección Meteorológica de Chile, DMC)实施了下一代季节预报,即NextGen-Chile。这个新的预报系统是基于一个多模式集合,使用来自校准的北美多模式集合(NMME)项目的最先进的大气环流模式(GCMs)。来自gcm的预报使用基于典型相关分析的回归与地面站的均匀数据集进行校准。基于典型相关分析,建立了ENSO和西南太平洋地区海表温度(SST)统计模型。将单独校准的gcm和统计模型结合起来,通过权衡它们的后验技能来构建最终校准的多模式集合(CMME)预测。对2019-2021年期间的概率再预测进行了验证分析,并添加了基于平均的集合预测(CMME-Mean)。CMME模型在辨别能力上优于个体模型,并且表现出比个体模型更小的季节性变化,增加了预测的一致性。在核查过程中分析的所有指标在智利中部地区都达到了最大值,这可归因于中部地区地面站高度集中,以及为共同国家评估计算定义了一个以中部地区为中心的域。展望NextGen-Chile不久的将来,作为一种更全面的季节预报方法,引入了灵活的季节预报,允许用户和利益相关者访问超出常规季节预报方法的信息。
期刊介绍:
The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions