Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.702218 |
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Title: | Advances in enhanced compatibility between satellite remote sensing of soil moisture and hydrological modelling | ||||
Author: | Zhuo, Lu |
ISNI:
0000 0004 6056 860X
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Awarding Body: | University of Bristol | ||||
Current Institution: | University of Bristol | ||||
Date of Award: | 2016 | ||||
Availability of Full Text: |
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Abstract: | |||||
Soil moisture is a key element in the hydrological cycle, regulating evapotranspiration, precipitation, infiltration and overland flow. However, its effective utilisation in hydrological modelling is still in a state of infancy. Generally, hydrological application of soil moisture data requires: 1) soil moisture data relevant to hydrology, and 2) appropriate hydrological model structure compatible with such data. This thesis focuses on tackling those two aspects by enhancing the compatibility between soil moisture observations and operational hydrological
models' soil moisture state variable. In this study satellite soil moisture observations are mainly focused on, because of their increasing availability and large-scale global coverage
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Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.702218 | DOI: | Not available | ||
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