Postdoctoral Research in Soil Moisture Observations
Met Éireann, Ireland’s National Meteorological Service, is a line division of the Department of Housing, Local Government and Heritage and is the leading provider of weather information and related services in the State. Its mission is to monitor, analyse and predict Ireland’s weather and climate and to provide a range of high quality meteorological and related information to the public and to specific customers in, for example, the aviation and agricultural sectors. As a scientific and technical organisation, it strives to utilise the latest technological and scientific advances in order to improve the efficiency, effectiveness and accuracy of its forecasts.
Hydrological Sciences (HS)
Soil System Sciences (SSS)
The Postdoctoral Researcher will work together with colleagues in Met Éireann (Observations, Database, AgMet etc.) and ISMON partner organisations to ensure the successful execution of the project and associated activities, including engagement with key stakeholders on the delivery of objectives. The researcher will establish and streamline data transfers from the ISMON network to MÉ database ensuring data are recorded correctly and quality controlled, including setting up of metadata for ISMON sites.
The Postdoctoral Researcher will work with select expert users from the ISMON group to ensure data is consistent between the different measurement techniques. After consultation and feedback from expert users, the data will be made publicly available on met.ie and data.gov.ie. A review of the distribution of the network station locations will be conducted to identify any possible gaps in the network coverage in terms of landcover, soil type or weather. One of the major applications will be to produce improved and more realistic spatially distributed soil moisture content and/or deficit maps for the use in e.g. agricultural decisions support tools (nutrient management), grass and crop growth models and flood risk assessment.
The proposed research will produce realistic initial conditions for soil moisture models used along with IREPS (Irish Regional Ensemble System) and ECMWF (European Centre for Medium-Range Weather Forecasts) data, enabling better forecasts at local and national scales.
Machine learning and AI techniques will be applied to improve on the spatially distributed soil moisture products to achieve more accurate representation of the observation based and predicted future soil moisture conditions.
Peer-reviewed research papers will be published on the establishment of ISMON and use of the data for modelling and forecasting, in collaboration with Met Éireann colleagues and the wider research community.