Assessment of ECMWF Subseasonal Temperature Predictions for an Anomalously Cold Week Followed by an Anomalously Warm Week in Central and Southeastern South America during July 2017

Author:

Alvarez M. S.1,Coelho C. A. S.2,Osman M.3,Firpo M. Â. F.2,Vera C. S.3

Affiliation:

1. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Ciencias de la Atmósfera y los Ocóanos and CONICET–Universidad de Buenos Aires, Centro de Investigaciones del Mar y la Atmósfera (CIMA) and CNRS–IRD–CONICET–UBA, Instituto Franco-Argentino para el Estudio del Clima y sus Impactos (UMI 3351 IFAECI), Buenos Aires, Argentina

2. Centro de Previsão de Tempo e Estudos Climáticos, Instituto National de Pesquisas Espaciais, São Paulo, Brazil

3. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Ciencias de la Atmósfera y los Océanos and CONICET–Universidad de Buenos Aires, Centro de Investigaciones del Mar y la Atmósfera (CIMA) and CNRS–IRD–CONICET–UBA, Instituto Franco-Argentino para el Estudio del Clima y sus Impactos (UMI 3351 IFAECI), Buenos Aires, Argentina

Abstract

AbstractThe demand of subseasonal predictions (from one to about four weeks in advance) has been considerably increasing as these predictions can potentially help prepare for the occurrence of high-impact events such as heat or cold waves that affect both social and economic activities. This study aims to assess the subseasonal temperature prediction quality of the European Centre for Medium-Range Weather Forecasts (ECMWF) against the Japan Meteorological Agency reanalyses. Two consecutive weeks of July 2017 were analyzed, which presented anomalously cold and warm conditions over central South America. The quality of 20 years of hindcasts for the two investigated weeks was compared to that for similar weeks during the JJA season and of 3 years of real-time forecasts for the same season. Anomalously cold temperatures observed during the week of 17–23 July 2017 were well predicted one week in advance. Moreover, the warm anomalies observed during the following week of 24–30 July 2017 were well predicted two weeks in advance. Higher linear association and discrimination (ability to distinguish events from nonevents), but reduced reliability, was found for the 20 years of hindcasts for the target week than for the hindcasts produced for all of the JJA season. In addition, the real-time forecasts showed generally better performance over some regions of South America than the hindcasts. The assessment provides robust evidence about temperature prediction quality to build confidence in regional subseasonal forecasts as well as to identify regions in which the predictions have better performance.

Funder

Belmont Forum/ANR

Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Sao Paulo

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference23 articles.

1. Influence of the Madden Julian Oscillation on precipitation and surface air temperature in South America;Alvarez;Climate Dyn.,2016

2. Subseasonal-to-seasonal (S2S) forecasts with CNRM-CM: A case study on the July 2015 West-European heat wave;Ardilouze;Adv. Sci. Res.,2017

3. Forecasting West African heat waves at subseasonal and seasonal time scales;Batté,2018

4. A verification framework for South American sub-seasonal precipitation predictions;Coelho;Meteor. Z.,2018

5. Copernicus Climate Change Service, 2017: ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS), accessed 16 January 2020, https://cds.climate.copernicus.eu/cdsapp#!/home.

Cited by 5 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

同舟云学术

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