INVESTIGADORES
PENALBA Olga Clorinda
congresos y reuniones científicas
Título:
Comparison of GLDAS Soil Moisture anomalies against the Standardized Precipitation Index over South America.
Autor/es:
SPENNEMANN P., RIVERA J, SAULO C., PENALBA O. C
Lugar:
Montevideo
Reunión:
Conferencia; WCRP-Conference for Latin America and the Caribbean, developing, linking, and applying climate knowledge.; 2014
Resumen:
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Soil moisture is a key variable of
the earth-atmosphere system, that not only reflects the soil conditions of a
given region, but it also can modulate the atmosphere from seasonal to synoptic
time scales. This study aims to compare the agreement between simulated soil
moisture anomalies derived from the Global Land Data Assimilation System (GLDAS
version 1 and 2) with the Standardized Precipitation Index (SPI). In this study,
a verification of the soil conditions simulated by GLDAS is carried out, which
is of high relevance due to the lack of observational soil moisture datasets
over South America. A special interest of this analysis is set on the
southeastern part of South America (SESA,35-25°S latitude and 63-50°W
longitude), which is part of the La Plata Basin (LPB), one of the largest
basins of the world and reservoir of high biological wealth, where the
agriculture is the main source of incomes. The results obtained from GLDAS-1
and from GLDAS-2 indicate that the precipitation dataset used to force the Land
Surface Models (LSM), is of major relevance for representing the soil
conditions in an adequate manner. Nevertheless, it was shown that CLM2 and NOAH
LSM from GLDAS-1 had a very good agreement, although the forcing dataset used
to generate GLDAS-1 is climatologically inconsistent. Over the region of SESA,
the closer relationship between soil moisture and precipitation at 3-months
time scales, points out that precipitation is one of the main controlling
factor upon the simulated soil moisture, and therefore, upon agricultural
droughts. Finally, and in agreement with other studies and monitoring
applications using simulated soil moisture (e.g. the CPC Drought Monitoring),
the potential usefulness of GLDAS outputs for the analysis of droughts and
their main features (i.e. spatial, frequency and intensity) is documented and
the development of new droughts indices based on GLDAS over the South America
is recommended for future works.