Wetlands&Science

On 15th to 16th of November I attended Software Carpentry Workshop organised by the New Zealand eScience Infrastructure (NeSI) and NIWA. The workshop was designed to support scientific computing capability development. Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop covered sessions: The Unix Shell Programming with Python Version Control with Git NeSI and getting started on an HPC Was very practical workshop with great trainers about Best Practices of Scientific Computing .  Windy Wellington Practicing some simple geographical analysis in Python  

I had the opportunity to attend four day course on uncertainty in modelling with PEST which was followed by 1,5 day workshop from 4th of April to 8thod April in Christchurch.   The course was led by Dr. John Doherty, the developer of PEST. Course was very intensive hands-on modelling and performing uncertainty analysis. The course gave very useful and practical knowledge about modelling and related issues. The 1.5 day was attended by 30 water resource scientists and managers from regional authorities, universities, research organisations and consultancies to better understand the reasons why predictions made by environmental models are often accompanied by wide margins of uncertainty.  Workshop presentations were given by Chris Daughney (GNS Science), John Doherty (Watermark Numerical Computing), Linda Lilburn (Landcare Research), Graham McBride (NIWA), Stephen McNeill (Landcare Research), Catherine Moore (GNS Science/ESR), David Scott (ESR), Shailesh Kumar Singh...