@InProceedings{MaskeGonēMatt:2017:DrIdTh,
author = "Maske, Bianca Buss and Gon{\c{c}}alves, Luis Gustavo
Gon{\c{c}}alves de and Mattos, Jo{\~a}o Gerd Zell de",
affiliation = "SIMEPAR and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Drought Identification through the Soil Moisture Estimated By
Satellite and By AGCM-SSiB Model of CPTEC/INPE",
year = "2017",
organization = "American Meteorological Society Annual Meeting, 97.",
abstract = "The drought definition can change with the nature of water deficit
and applications. Normally four categories of drought are used:
(1) Meteorological drought - when atmospheric conditions cause low
precipitation; (2) Hidrological drought - deficit in surface and
subsurface water; (3) Agricultural drought - deficit of water for
plants; (4) Socioeconomic drought - when human activities are
affected. The drought occurence depend of many elements:
precipitation anomaly and/or temperature anomaly,anomaly of
hidrological variables, terrestrial ecosystem condition and/or
human activity. Therefore, drought monitoring need to consider the
total environmental moisture, using all indicators that is
possible. The indexes more common are: PDSI - Palmer Drought
Severity Index, SWPI - Surface Water Supply Index, SPI -
Standardized Precipitation Index and Soil Moisture Percentiles.
Drought events on Brazil affect fundamental economy sectors and
population supply, \ therefore directly affect
agricultural production, energy production and water supply.
According with Brazilian Atlas of Natural Disasters, around 48% of
occorence of natural disaster are drought events, when the region
most affected is Northeast followed by South and Southeast. Soil
moisture is difficultly observated in large scale. To get around
this problem is possible to use soil moisture estimated by
satellite, mainly in microwave range of the electromagnetic
spectrum. This estimate can detect soil moisture in the surface
layer, around 5 cm. The satellite data product used in this work
is development and provided by European Space Agency (ESA). The
product is a combination of passive and active observations of
many satellites. Using the Standardized Precipitation Index (SPI)
that is a index widely used in drought monitoring centers, were
selected 3 cases for analisys: Jan/1998 to Dec/1999, Mar/2007 to
Dec/2008 and Jan/2012 to May/2013. Then, it was calculeted soil
moisture percentiles for satellite estimates and land surface SSiB
model. The land surface SSiB model is coupled with atmospheric
general circulation model of CPTEC/INPE, in the version T062L24
that have around 200 km of horizontal resolution and simulation
was in the period between Jan/1998 and Dec/2013. Considering that
the drought occurence is when the percentile of soil moisture is
less than 20, the results indicate that satellite estimates
although represent only the surface layer can identify similar
drought regions to SPI and find that have a time to response of
precipitation occurence, increasing the drought of the
hidrological viewpoint. Already land surface SSiB model have
difficult to reproduce the events continuously and when the event
was simulated correctly, the drought region generally indicated
percentiles higher than is observed.",
conference-location = "Seattle",
conference-year = "21-26 jan.",
language = "en",
urlaccessdate = "28 abr. 2024"
}