About the Programme
Weather forecasting is the application of current technology and science to predict the state of the atmosphere for a future time and a given location. Weather forecasts are made by collecting as much data as possible about the current state of the atmosphere (particularly the temperature, humidity and wind) and using understanding of atmospheric processes (through meteorology) to determine how the atmosphere evolves in the future.
Early Warning Systems (EWS) are well recognized as a critical life-saving tool for floods, droughts, storms, bushfires, and other hazards. The recorded economic losses linked to extreme hydro-meteorological events have increased nearly 50 times over the past five decades, but the global loss of life has decreased significantly, by a factor of about 10, thus saving millions of lives over this period.
- To discuss the fundamental concept of disaster management post-COVID-19 coordinated across many agencies at national to local levels for the system to work
- To study the fundamental Concept of weather, weather data & forecasting and multi-hazard early warning
- To promote a new culture which Skymet has developed inculcating Public-Private Partnership with SDMAs and Agriculture across the country
- The identify the roles and responsibilities of various public and private sector stakeholders for implementation of EWS should be clarified and reflected in the national to local regulatory frameworks, planning, budgetary, coordination, and operational mechanisms
- Documentation of good practices and the development of guidelines and training modules on Multi-Hazard Early Warning Systems (MHEWS)
Who should attend?
Disaster Management professionals, State Disaster Management Authority, District Disaster Management Authority, Founder & Managing Director, SKYMET(Disaster Managemen, Government Business).
- Early Warning and preparedness in Multi-hazard context
- Public Private Partnership
- Weather Forecasting
Date: 25-27 June 2020
Time: 11 Am- 1 PM
For registration & more details, click here.