National Monsoon Mission
Regarding the Programme on National Monsoon Mission the
Cabinet Committee on Economic Affairs today approved the implementation
of the programme of the National Monsoon Mission at the Earth System
Science Organisation (ESSO) for a period of five years.
The main objectives of the National Monsoon Mission are:
(i) To build a working partnership between the academic and R&D organisations both national and international and the operational agencies to improve the operational monsoon forecast skill over the country. (ii) To set up a state of the art dynamic modelling framework for improving the prediction skill of: a. Seasonal and extended range prediction system (16 days to one season)
b. Short to medium range prediction system (up to 15 days).
The Mission has a budget of Rs.400 crore for five years to support the research work related to the mission.
The National Monsoon Mission after its implementation will help to implement a dynamic prediction system for the prediction of monsoon in all time scales, short range to seasonal time scale at appropriate spatial scales with improved prediction skill. The forecasts based on this prediction system will cater to the needs of various sectors like agriculture, water resources management, power generation, disaster management, tourism and transport.
The programme will be undertaken through two sub-missions on two different time scales, (i) extended range to seasonal time scale to be coordinated by the Indian Institute of Tropical Meteorology (IITM) Pune/ESSO and (ii) short to medium range scale, to be coordinated by the National Centre for Medium Range Weather Forecasting (NCMRWF)/ESSO. The Indian National Center for Ocean Information Services (INCOIS)/ESSO will provide the ocean observations for assimilation and the India Meteorological Department/ESSO will implement the research outcome of the efforts in operational mode. The Mission will support focused research by national and international research groups with definitive objectives and deliverables to improve the models in the short, medium, extended and seasonal range scales at appropriate spatial scales. The Mission will also support observational programmes that will result in better understanding of the processes. The progress of the National Monsoon Mission will be reviewed and monitored by two committees. The Scientific Review and Monitoring Committee (SRMC) will review the research proposals from different research groups and monitor the progress of the research work. The Scientific Steering Committee (SSC), which is the apex body will steer the programme, advise and direct midcourse corrections, if any.
Background:
Prediction of monsoon rainfall variability in all spatial and time scales is very important for many sectors like agriculture, water resources management, power generation and natural ecosystems and thus economy of the country. The present statistical methods being used by the India Meteorological Department have some constraints to meet specific user requirements for forecasts on finer spatial and temporal scale. Therefore, it is necessary to make use of the state of the art dynamic models to improve monsoon prediction skills.
The main objectives of the National Monsoon Mission are:
(i) To build a working partnership between the academic and R&D organisations both national and international and the operational agencies to improve the operational monsoon forecast skill over the country. (ii) To set up a state of the art dynamic modelling framework for improving the prediction skill of: a. Seasonal and extended range prediction system (16 days to one season)
b. Short to medium range prediction system (up to 15 days).
The Mission has a budget of Rs.400 crore for five years to support the research work related to the mission.
The National Monsoon Mission after its implementation will help to implement a dynamic prediction system for the prediction of monsoon in all time scales, short range to seasonal time scale at appropriate spatial scales with improved prediction skill. The forecasts based on this prediction system will cater to the needs of various sectors like agriculture, water resources management, power generation, disaster management, tourism and transport.
The programme will be undertaken through two sub-missions on two different time scales, (i) extended range to seasonal time scale to be coordinated by the Indian Institute of Tropical Meteorology (IITM) Pune/ESSO and (ii) short to medium range scale, to be coordinated by the National Centre for Medium Range Weather Forecasting (NCMRWF)/ESSO. The Indian National Center for Ocean Information Services (INCOIS)/ESSO will provide the ocean observations for assimilation and the India Meteorological Department/ESSO will implement the research outcome of the efforts in operational mode. The Mission will support focused research by national and international research groups with definitive objectives and deliverables to improve the models in the short, medium, extended and seasonal range scales at appropriate spatial scales. The Mission will also support observational programmes that will result in better understanding of the processes. The progress of the National Monsoon Mission will be reviewed and monitored by two committees. The Scientific Review and Monitoring Committee (SRMC) will review the research proposals from different research groups and monitor the progress of the research work. The Scientific Steering Committee (SSC), which is the apex body will steer the programme, advise and direct midcourse corrections, if any.
Background:
Prediction of monsoon rainfall variability in all spatial and time scales is very important for many sectors like agriculture, water resources management, power generation and natural ecosystems and thus economy of the country. The present statistical methods being used by the India Meteorological Department have some constraints to meet specific user requirements for forecasts on finer spatial and temporal scale. Therefore, it is necessary to make use of the state of the art dynamic models to improve monsoon prediction skills.
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