Soil moisture evaluation over the Argentine Pampas using models, satellite estimations and in-situ measurements
| Autor: | María Elena Fernández-Long, Carmelo Cammalleri, Gustavo Naumann, Natalia Noemí Gattinoni, Pablo C. Spennemann |
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| Rok vydání: | 2020 |
| Předmět: |
Modelos de Superficie Terrestre
Estimaciones Satellites SATELLITE ESTIMATIONS Climate change Forcing (mathematics) Atmospheric sciences Article purl.org/becyt/ford/1 [https] purl.org/becyt/ford/1.5 [https] Data assimilation Earth and Planetary Sciences (miscellaneous) Región Pampeana Soil parameters Evaluation Satélites lcsh:Physical geography Water content Water Science and Technology Evaluación lcsh:QE1-996.5 Estimations Contenido de Agua en el Suelo lcsh:Geology Soil Water Content Root zone soil moisture Land Surface Models SOIL MOISTURE Environmental science Satellite Soil moisture Satellite estimations Frequency distribution lcsh:GB3-5030 |
| Zdroj: | Journal of Hydrology: Regional Studies, Vol 31, Iss, Pp 100723-(2020) Journal of Hydrology : Regional Studies 31 : 100723 (October 2020) INTA Digital (INTA) Instituto Nacional de Tecnología Agropecuaria instacron:INTA CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET Journal of Hydrology. Regional Studies |
| ISSN: | 2214-5818 |
| Popis: | Highlights • The Pampas region, located in central Argentina, is one of the most productive rainfed agricultural regions of the world. • The ability of the Land Surface Models (LSMs) and satellite estimations in reproducing daily surface and root zone soil moisture is evaluated. • BHOA is able to correctly represent the soil moisture dynamic range and variability, and the GLDAS-Noah, ERA-Interim and LISFLOOD are able to adequately represent the soil moisture anomalies over the Pampas region. • In addition to the LSM results, also the ESA CCI satellite estimations anomalies proved to be valuable. • Accurate forcing data and soil parameters are critical to improve substantially the ability of LSMs to detect dry and wet events. 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. |
| Databáze: | OpenAIRE |
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