Geoscientific Instrumentation,
Methods and Data Systems 

We use the technical methods of instrument development, calibration experiments and numerical simulation to develop a new type of in-situ stress sensor group using fiber Bragg grating (FBG) sensing technology, which can calculate the in-situ stress state of surrounding rock mass by sensing the borehole wall strain. This sensor group lays an important theoretical and experimental foundation for the development and application of FBG hole-wall strain gauge.

Methods for reconstruction of winter long data gaps in snow depth time series are compared. The methods use snow depth data from neighboring stations or calculate snow depth from temperature and precipitation data. All methods except one are able to reproduce the average snow depth and maximum snow depth in a winter reasonably well. For reconstructing the number of snow days with snow depth ≥ 1 cm, results suggest to use a snow model instead of relying on data from neighboring stations.

Reduce the uncertainty in air quality assessment by imputing all missing pollutants in the monitoring stations and identify where more measurements can be beneficial. The proposed approach is based on spatial or temporal similarity between stations. We found that our proposed approach enables us to impute/estimate plausible concentrations of multiple pollutants at stations across the UK, and the modelled concentrations from the selected models correlated well with the observed concentrations.