Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements
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 dail...
| Autores principales: | , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2020
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/8138 https://www.sciencedirect.com/science/article/pii/S221458182030197X https://doi.org/10.1016/j.ejrh.2020.100723 |
| _version_ | 1855484140654166016 |
|---|---|
| author | Spennemann, Pablo C. Fernández-Long, María Elena Gattinoni, Natalia Noemí Cammalleri, Carmelo Naumann, Gustavo |
| author_browse | Cammalleri, Carmelo Fernández-Long, María Elena Gattinoni, Natalia Noemí Naumann, Gustavo Spennemann, Pablo C. |
| author_facet | Spennemann, Pablo C. Fernández-Long, María Elena Gattinoni, Natalia Noemí Cammalleri, Carmelo Naumann, Gustavo |
| author_sort | Spennemann, Pablo C. |
| collection | INTA Digital |
| description | 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 ESASM 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. |
| format | Artículo |
| id | INTA8138 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA81382020-10-27T20:09:46Z Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements Spennemann, Pablo C. Fernández-Long, María Elena Gattinoni, Natalia Noemí Cammalleri, Carmelo Naumann, Gustavo Soil Water Content Evaluation Satellites Contenido de Agua en el Suelo Evaluación Satélites Land Surface Models Estimations Modelos de Superficie Terrestre Estimaciones Región Pampeana 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 ESASM 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. Fil: Spennemann, P.C. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Servicio Meteorológico Nacional; Argentina Universidad Nacional de Tres de Febrero; Argentina Fil: Fernández - Long, M.E. Universidad de Buenos Aires. Facultad de Agronomía; Argentina Fil: Gattinoni, Natalia N. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Cammalleri, C. European Commission, Joint Research Centre; Italia Fil: Naumann, G. European Commission, Joint Research Centre; Italia 2020-10-27T19:55:18Z 2020-10-27T19:55:18Z 2020-08-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/8138 https://www.sciencedirect.com/science/article/pii/S221458182030197X 2214-5818 https://doi.org/10.1016/j.ejrh.2020.100723 eng The Inter-American Institute for Global Change Research (IAI) CRN3035, which is supported by the U.S. National Science Foundation (Grant GEO-1128040) info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Elsevier Journal of Hydrology : Regional Studies 31 : 100723 (October 2020) |
| spellingShingle | Soil Water Content Evaluation Satellites Contenido de Agua en el Suelo Evaluación Satélites Land Surface Models Estimations Modelos de Superficie Terrestre Estimaciones Región Pampeana Spennemann, Pablo C. Fernández-Long, María Elena Gattinoni, Natalia Noemí Cammalleri, Carmelo Naumann, Gustavo Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title | Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title_full | Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title_fullStr | Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title_full_unstemmed | Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title_short | Soil moisture evaluation over the Argentine Pampas using models satellite estimations and in - situ measurements |
| title_sort | soil moisture evaluation over the argentine pampas using models satellite estimations and in situ measurements |
| topic | Soil Water Content Evaluation Satellites Contenido de Agua en el Suelo Evaluación Satélites Land Surface Models Estimations Modelos de Superficie Terrestre Estimaciones Región Pampeana |
| url | http://hdl.handle.net/20.500.12123/8138 https://www.sciencedirect.com/science/article/pii/S221458182030197X https://doi.org/10.1016/j.ejrh.2020.100723 |
| work_keys_str_mv | AT spennemannpabloc soilmoistureevaluationovertheargentinepampasusingmodelssatelliteestimationsandinsitumeasurements AT fernandezlongmariaelena soilmoistureevaluationovertheargentinepampasusingmodelssatelliteestimationsandinsitumeasurements AT gattinoninatalianoemi soilmoistureevaluationovertheargentinepampasusingmodelssatelliteestimationsandinsitumeasurements AT cammallericarmelo soilmoistureevaluationovertheargentinepampasusingmodelssatelliteestimationsandinsitumeasurements AT naumanngustavo soilmoistureevaluationovertheargentinepampasusingmodelssatelliteestimationsandinsitumeasurements |