@InProceedings{GrimmTede:2006:MeInEl,
author = "Grimm, Alice Marlene and Tedeschi, Renata Gon{\c{c}}alves",
affiliation = "Universidade Federal do Paran{\'a}, Departamento de
F{\'{\i}}sica and Caixa Postal 19044. 81531-990 Curitiba, PR,
Brazil (Grimm and Tedeschi)",
title = "Mechanisms of the influence of El Niņo and La Niņa episodes on the
frequency of extreme precipitation events in Brazil",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "765--773",
organization = "International Conference on Southern Hemisphere Meteorology and
Oceanography, 8. (ICSHMO).",
publisher = "American Meteorological Society (AMS)",
address = "45 Beacon Hill Road, Boston, MA, USA",
keywords = "Extreme events, precipitation, El Niņo, La Niņa, Brazil.",
abstract = "This paper examines how El Niņo (EN) e La Niņa (LN) episodes
modify the frequency of extreme precipitation events in Brazil,
and the reason for this modification. Gamma distributions were fit
to precipitation in each day of the year, in the period 1956-2002,
provided by stations all over Brazil. Daily precipitation data are
then replaced by their respective percentiles. Extreme events are
those with a three-day average percentile above 85. The number of
extreme events was computed for each month of each year. Years
were classified as EN, LN and normal years, considering, according
to the EN/LN cycle, that the year starts in August (year 0) and
ends in July (year +1). The mean frequency of extreme events for
each month, within each category of year, and the difference
between these mean frequencies for EN and normal years, and for LN
and normal years show that EN and LN episodes influence
significantly the frequency of extreme events in several regions
in Brazil during certain periods. The relationships between
large-scale atmospheric perturbations and variations in the
frequency of extreme precipitation events are sought through
composites of anomalous atmospheric fields during extreme events
in EN and LN episodes, in three regions in which there is
significant change in the frequency of these events. The general
features of those anomalous fields are similar, no matter if the
extreme events happen during EN or LN episodes or in normal years.
They show the essential ingredients for much precipitation:
moisture convergence and mechanisms for lifting the air to the
condensation level. To understand why the frequency of extreme
events varies significantly between EN and LN episodes, we also
formed composites of monthly atmospheric anomalous fields during
those episodes. In the regions where the frequency of extreme
events increases (decreases) the anomaly composites during extreme
events show similarity (difference) with respect to the mean
anomalies during EN or LN episodes. This indicates that the
frequency of extreme events increases (decreases) when the
large-scale perturbations favor (hamper) the circulation anomalies
associated with them in those regions. This also means that the
behavior of the frequency of extreme events is consistent with
that of the monthly or seasonal total precipitation. The same
conclusion can be reached through the correlation of sea surface
temperature (SST) with the monthly precipitation series or the
frequency of extreme events for two regions in which these events
had their frequency changed during EN and LN episodes. This
correlation analysis was carried out to verify whether there is
another mechanism responsible for extreme events that does not
work during other rainfall events. In general, the relationship
between SST and monthly rainfall is similar to the relationship
between SST and the frequency of extreme events. There are,
however, some differences. For instance, in southern Brazil the
frequency of extreme events is correlated both with SST anomalies
in the Pacific Ocean (associated with EN/LN) and in the Atlantic
Ocean, while the monthly rainfall is more strongly correlated with
SST in the Pacific Ocean..",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "24-28 Apr. 2006",
language = "en",
organisation = "American Meteorological Society (AMS)",
ibi = "cptec.inpe.br/adm_conf/2005/10.31.22.33",
url = "http://urlib.net/rep/cptec.inpe.br/adm_conf/2005/10.31.22.33",
targetfile = "765-774.pdf",
type = "Hydrological variability and modeling",
urlaccessdate = "27 jan. 2021"
}