@InProceedings{GonzálezVeraLieb:2006:ChInVa,
author = "Gonz{\'a}lez, Paula L. M. and Vera, Carolina S. and Liebmann,
Brant",
affiliation = "CIMA/DCAO, University of Buenos Aires-CONICET (Gonz{\'a}lez and
Vera) and NOAA/CIRES Climate Diagnostics Center, Boulder,
Colorado, USA (Liebmann)",
title = "Characteristics of the intraseasonal variability of precipitation
over eastern Argentina",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "1063--1088",
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 = "intraseasonal variability, precipitation, SACZ.",
abstract = "An analysis of the intraseasonal variability of precipitation over
central and eastern Argentina is presented. Daily precipitation
data from Argentinean Weather Service stations that are
representative of the different geographical regions have been
used for the period 1976-2001. The climatological mean seasonal
cycle was first removed from the timeseries. In order to retain
the intraseasonal variability associated with the warm season (1
Nov-31 Mar), the anomaly timeseries were normalized and filtered
by a 20-90 day Lanczos filter. Daily OLR data for the period
1979-2001 have also been used to compare its associated
intraseasonal variability with that depicted by the precipitation
data. Results show that intraseasonal variability observed in the
daily precipitation over central and eastern Argentina explains a
significant portion of the total summer variance. Moreover, the
explained variance by the intraseasonal variability is largest
over eastern Argentina, decreasing from subtropical to middle
latitudes. OLR, typically used as summer precipitation proxy, is
able to reproduce the basic characteristic of the precipitation
intraseasonal variability, particularly when the amplitude of the
intraseasonal oscillations (IO) in precipitation timeseries is
relatively large. Although, when the IO amplitude is small, OLR
variability only explains a small fraction of the precipitation
variability. Furthermore, the OLR is not able to represent the
precipitation variability on synoptic timescales. Positive
(negative) events of precipitation intraseasonal variability were
defined identifying the dates in which the filtered precipitation
series exhibit values above (below) one standard deviation for at
least 5 days. Around 50 events were identified for each category
over the period considered, with around half of them exhibiting a
mean length of 7 days and the others of 12 days. The date
associated with the maximum (minimum) filtered precipitation value
was identified for each positive (negative) event and was then
considered as Day 0 in the computation of daily composites.
Composite 200-hPa geopotential-height anomalies for positive
precipitation events over subtropical eastern Argentina show a
wave train evolving all along the South Pacific, over the 10-day
period previous to the precipitation peak. The wave train is
characterized by quasistationary anomaly centers and a relatively
fast eastward wave energy progression. On the other hand,
composites for positive precipitation events over extratropical
eastern Argentina are associated with the evolution of long-life
synoptic waves progressing eastward. Composites of OLR anomalies
for positive precipitation events over both subtropical and
extratropical eastern Argentina are associated with decreased
convection in the SACZ region, in agreement with previous works.
Nevertheless, differences in the location and timing of the OLR
positive anomalies over the SACZ region were observed for both
types of composites and will be further discussed in the
Conference.",
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/2005/10.31.19.28",
url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.31.19.28",
targetfile = "1063-1088.pdf",
type = "Monsoon systems and continental rainfall",
urlaccessdate = "29 jun. 2024"
}