Artículo
Soil moisture evaluation over the Argentine Pampas using models, satellite estimations and in-situ measurements
Spennemann, Pablo Cristian
; Fernández Long, María Elena; Gattinoni, Natalia Noemi; Cammalleri, C.; Naumann, Gustavo
Fecha de publicación:
10/2020
Editorial:
Elsevier Science
Revista:
Journal of Hydrology: Regional Studies
e-ISSN:
2214-5818
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Study region: The Pampas region is located in the central-east part of Argentina, and is one of the most productive agricultural regions of the world under rainfed conditions. Study focus: This study aims at examining how different Land Surface Models (LSMs) and satellite estimations reproduce daily surface and root zone soil moisture variability over 8 in-situ observation sites. The ability of the LSMs to detect dry and wet events is also evaluated. New hydrological insights for the region: The surface and root zone soil moisture of the LSMs and the surface soil moisture of the ESA CCI (European Space Agency Climate Change Initiative, hereafter ESA-SM) show in general a good performance against the in-situ measurements. In particular, the BHOA (Balance Hidrológico Operativo para el Agro) shows the best representation of the soil moisture dynamic range and variability, and the GLDAS (Global Land Data Assimilation System)-Noah, ERA-Interim TESSEL (Tiled ECMWF's Scheme for Surface Exchanges over Land) and Global Drought Observatory (GDO)-LISFLOOD are able to adequately represent the soil moisture anomalies over the Pampas region. In addition to the LSM results, also the ESA-SM satellite estimated anomalies proved to be valuable. However, the LSMs and the ESA-SM have difficulties in reproducing the soil moisture frequency distributions. Based on this study, it is clear that accurate forcing data and soil parameters are critical to substantially improve the ability of LSMs to detect dry and wet events.
Palabras clave:
EVALUATION
,
LAND SURFACE MODELS
,
SATELLITE ESTIMATIONS
,
SOIL MOISTURE
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Spennemann, Pablo Cristian; Fernández Long, María Elena; Gattinoni, Natalia Noemi; Cammalleri, C.; Naumann, Gustavo; Soil moisture evaluation over the Argentine Pampas using models, satellite estimations and in-situ measurements; Elsevier Science; Journal of Hydrology: Regional Studies; 31; 10-2020; 1-18
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