@Article{AlvarezCoeOsmFirVer:2020:AsECSu,
author = "Alvarez, M. S. and Coelho, Caio Augusto dos Santos and Osman, M.
and Firpo, M{\'a}ri Andrea Feldman and Vera, C. S.",
affiliation = "{Universidad de Buenos Aires} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidad de Buenos Aires} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidad de Buenos
Aires}",
title = "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",
journal = "Weather and Forecasting",
year = "2020",
volume = "35",
number = "5",
pages = "1871--1889",
month = "Oct.",
abstract = "The demand of subseasonal predictions (from one to about four
weeks in advance) has been consid-erably 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 1723 July 2017 were well predicted one
week in advance. Moreover, the warm anomalies observed during the
following week of 2430 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.",
doi = "10.1175/WAF-D-19-0200.1",
url = "http://dx.doi.org/10.1175/WAF-D-19-0200.1",
issn = "0882-8156",
language = "en",
targetfile = "alvarez_assessment.pdf",
urlaccessdate = "27 abr. 2024"
}