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| Titel |
Analytical framework for screening long-time and large-scale soil moisture variability and its comparison with GRACE satellite data |
| VerfasserIn |
Lucile Verrot, Georgia Destouni |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250134781
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| Publikation (Nr.) |
 EGU/EGU2016-15546.pdf |
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| Zusammenfassung |
| Soil moisture is a central component of the hydrologic cycle and its spatiotemporal variability offers a great challenge in assessing large-scale hydrological processes. As this variability depends greatly on prevailing hydro-climate, along with soil texture and its primarily spatial heterogeneity, soil moisture may be relatively easily constrained by large-scale water balance consideration in time and knowledge of soil property distribution in space. We have developed a relatively simple soil moisture model that relies on explicit account of spatial soil hydraulics parameters and catchment-wise organized hydro-climatic data and their variation in time. The current state of field techniques does not allow the retrieval of large-scale soil moisture data for direct comparison with model results. However, the recent GRACE satellite data provides for the first time large-scale directly comparative of large-scale water storage variability. This study compares the developed soil moisture model’s ability to reproduce main variability dynamics in long-term data series of unsaturated water content and groundwater table position at the catchment scale with GRACE data, for a set of large tropical catchments. |
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