The GlobalMass team has a new paper published this week in the journal Proceedings of the National Academy of Sciences of the United States of America (PNAS).
Using a technique called structured expert judgement (SEJ), an international team of scientists … Continue reading
The GlobalMass project was well represented at the European Geophysical Union (EGU) General Assembly 2019 earlier this month. Four of the current project team attended the conference, and results from our project were presented in three talks and two posters. … Continue reading
Last week we presented our work on global water storage stress at the Drought and Water Scarcity conference in Oxford.
Bramha Dutt Vishwakarma gave a plenary talk on the assessment of global water storage stress using a new metric we … Continue reading
A GlobalMass paper has been named by Geophysical Journal International as one of its top Altimetric articles of 2018. The paper – reporting on the creation of a new ‘observational’ dataset of glacial isostatic adjustment (GIA) using GPS time-series … Continue reading
Last month Jonathan Bamber represented GlobalMass at the American Geophysical Union (AGU) Fall Meeting 2018, held in Washington, D.C. Our recent work was presented in two posters.
The first poster presented our work developing the BHM approach with a monthly … Continue reading
The GlobalMass team has had a new paper published in Environmetrics: ‘Bayesian model–data synthesis with an application to global glacio‐isostatic adjustment‘.
The paper describes the key methodological developments that we have made to the Bayesian Hierarchical Modelling (BHM) … Continue reading
The GlobalMass project was represented at the recent GRACE/GRACE FO Science Team Meeting (GSTM) 2018 in Potsdam, Germany, by Bramha Dutt Vishwakarma. Bramha also presented a poster summarising our work to date (‘GlobalMass: a Bayesian modelling approach for closing … Continue reading
We currently have a job opportunity within the GlobalMass team at the University of Bristol.
We are looking for a Research Associate/Senior Research Associate to develop and extend the statistical framework (Bayesian Hierarchical Model, or BHM) that forms the basis … Continue reading
This month we are bidding farewell to two of the GlobalMass project team: Zhe Sha and Maike Schumacher
Zhe led our statistical framework work package, and has had the crucial role of extending the Bayesian Hierarchical Model (BHM) approach … Continue reading