Job Responsibilities

• Support identification of a suitable community weather model and provide training and develop staff technical skills in using data assimilation three-dimensional variational assimilation (3DVAR) and Four-dimensional variational assimilation (4DVAR) by using three upper air data, two Radar and 300 Automatic weather station (AWS) data, and generating high-resolution weather and climate forecasting at national and regional levels.
• Develop an ensemble of numerical tools to exploit (extract, visualise, archive) the model outputs
• Collaborate with the forecasters and clients to develop graphical tools to exploit the model outputs and other datasets.
• Develop an automate system to run the model pre and post processing
• Propose and implement an architecture for the model data management
• Train relevant staff with respect to: 1) Programming (python, linux) 2) Analysing model performance (success and failure) 3) Maintaining/updating the model
• Support development of reports and scientific papers to present the progress and achievements improving EMI early warning products and services.
• Support the development of long-term capacity building plan and knowledge transfer to ensure sustainability of enhanced capacity.
• Implement the strategy for the assimilation of external data on an operational system
• Actively contribute to review of scientific ideas at status/technical meetings.