Strong geomagnetic activity is a hazard to electronics and electric power facilities. Assessment of the actual geomagnetic activity level from local magnetometer monitoring therefore is of importance for risk assessment but also in earth sciences and exploration. Wavelet based signal processing methods are applied to extract meaningful information from magnetic field time series in a noisy envi...

Hidden Markov models form an extension of mixture models providing a ex-ible class of models exhibiting dependence and a possibly large degree of variability. In this paper we show how reversible jump Markov chain Monte Carlo techniques can be used to estimate the parameters as well as the number of components of a hidden Markov model in a Bayesian framework. We employ a mixture of zero mean no...

Increasing demand within the geomagnetism community for high quality real-time or near-real-time observatory data means there is a requirement for data producers to have a robust and scalable data processing infrastructure capable of delivering geomagnetic data products over the Internet in a variety of formats. We describe a new software system, developed at BGS, which will allow access to our...

We describe the life and scientific accomplishments of Professor Raymond Hide. He was a past President Royal Meteorological Society supreme example geophysicist much honoured in his lifetime. covered wide area geophysics from geomagnetism, meteorology, geodesy, oceanography related aspects planetary physics. Hide particularly known meteorology as founding father geophysical fluid dynamics, espe...