A PhD position for NMM project entitled “Improving multi-scale variability and interactions in a global coupled seasonal climate forecast system through embedded regional modeling at weather and cloud resolving scales”

Job Profile

Position: PhD position supported through part-time work as Research Assistant (28 hours/week)

Gross salary: JPY 1,456,000 per year Duration: April 2013 to March 2016

Requisite knowledge and skills

-Degree (MSc. level) in natural sciences (e.g. meteorology, oceanography, physics, geophysics, mathematics, computer/computational science/engineering)

-Experience and interest in climate research and meteorology.

-Experience in programming (ideally NCL, FORTRAN, R, C).

-Analytical orientation, independent work style, organizing abilities.

-Ability to work in a team, good command of English.

Further information can be obtained from Prof. Saji Hameed (saji AT u-aizu.ac.jp).

Interested applicants are invited to send a brief CV to saji@u-aizu.ac.jp. Project details are available on request. Short-listed candidates will be contacted by email to provide further documents.

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About the National Monsoon Mission (NMM) project

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 for forecasting the Indian Monsoon rainfall 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 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.

Further details are available here and here