@InProceedings{ArvorFunaMichDubr:2017:CaTe,
author = "Arvor, Damien and Funatsu, Beatriz M and Michot, V{\'e}ronique
and Dubreuil, Vincent",
title = "Padr{\~o}es de precipita{\c{c}}{\~a}o no Sul da Amaz{\^o}nia
baseado no PERSIANN-CDR: Caracter{\'{\i}}sticas e
tend{\^e}ncias",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1439--1446",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Precipitation is a key climatic parameter for many anthropogenic
activities, especially agriculture. Yet, its homogeneous and
continuous monitoring remains challenging. That is particularly
true for the Amazon region, which is sparsely inhabited and has a
low density of ground-based rain gauge network. Satellite-derived
estimates of precipitation are thus essential to fill up the gap
of rainfall measurements in the region. The PERSIANN-CDR is a
relatively new product (released in 2013), available for the
period 1983-delayed present, which provides a renewed opportunity
to analyse and estimate precipitation in the Amazon region, based
on a long-term record. In this work, we use three decades
(1983-2013) of PERSIANN-CDR daily rainfall data to characterize
precipitation patterns in the southern region of the Amazon basin
- which has been heavily deforested and transformed in the past
decades -, and to assess trends. Our analyses confirm the
potential of PERSIANN-CDR estimates to monitor rainfall in the
Amazon. We also computed metrics of the rain season (onset, demise
and duration) and highlighted significant trends toward a
reduction of the rainy season in the Southern Amazon, mainly
related to earlier demise dates. This work thus contributes to
monitor possible signs of climate change in the region, and to the
assessment of uncertainties in rainfall trends.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59559",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4GMH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GMH",
targetfile = "59559.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "27 abr. 2024"
}