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New NERC project to investigate soil moisture dynamics in the UK using novel cosmic-ray technology

11 August 2014

New NERC project to investigate soil moisture dynamics in the UK using novel cosmic-ray technology

New NERC project to investigate soil moisture dynamics in the UK using novel cosmic-ray technologySoil moisture plays a major role in the environment/climate system because the transports of water within the land and at the land-atmosphere interface are strongly dependent on the state of soil water in a region. Despite its importance, lack of soil moisture measurements at various spatial scales has limited our understanding of how individual physical factors control soil moisture dynamics.

Led by Dr Rafael Rosolem in the Department of Civil Engineering at the University of Bristol, the NERC-funded project AMUSED [A MUlti-scale Soil moisture-Evapotranspiration Dynamics study] employs new innovative technology for soil moisture monitoring using cosmic-rays sensors in combination with land surface modeling, satellite remote sensing, and model diagnostics and data assimilation methods.  The ultimate goal is to identify the spatiotemporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions. This is of critical importance given recent efforts develop hyper-resolution hydrometeorological models for operational numerical weather and climate predictions.

New NERC project to investigate soil moisture dynamics in the UK using novel cosmic-ray technologyThe project seeks to identify whether a unified science of land-atmosphere interactions across multiple-scales can be achievable, or if simpler scale-dependent (and sometimes empirical) parameterizations in combination with data assimilation can provide uniquely acceptable predictions of soil moisture dynamics and land surface processes (e.g., evapotranspiration). The AMUSED project has three main objectives: (1) to evaluate the uncertainties of multiple sources of soil moisture observations, including traditional point-scale, satellite remote sensing and the new cosmic-ray technology; (2) to identify key processes that control soil moisture dynamics in land surface models at various spatial and temporal scales; and (3) to provide high-quality soil moisture estimates at hyper-resolution and evaluate impacts on simulated land surface processes for various applications in UK regions.

A key component of the project is the use of new cosmic-ray sensors that can measure soil moisture at an unprecedented sub-kilometer scale. This technology has revolutionized the field of hydrometeorology because it provides, for the first time, a unique opportunity to fill the gap between soil moisture observations from traditional point-scale sensors and large-scale estimates from satellite remote sensing products. The AMUSED project will also foster critical and significant training to high-skilled personnel on the use of this new innovative cosmic-ray soil moisture technique in the UK. Dr Rosolem was part of the US COsmic-ray Soil Moisture Observing System team (COSMOS) where he worked directly on the design and deployment of these cosmic-ray sensors across contiguous USA.

The £330k New Investigator grant was awarded by the Natural Environmental Research Council (NERC) to fund the three-year project. Dr Rosolem is the solely Principal Investigator of the project, which has a strong collaborative effort with the Centre for Ecology and Hydrology (CEH), as part of the COSMOS-UK initiative, a national network of cosmic-ray neutron sensors to monitor soil moisture at near real-time in the UK.

AMUSED will therefore expand the notion of operational data assimilation implementation by further introducing model diagnostics in order to identify which model structures or parameterizations are likely to affect state estimation via data assimilation. These findings will enhance our current understanding and the representation of soil moisture and surface processes in numerical weather prediction and climate models in the UK.

 

 

 

 

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