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To Improve Prediction Skill of                     Monsoon Weather and Climate

Earth System Science Orgnization, Ministry of Earth Science
Indian Institute of Tropical Meteorology, Pune, India  

Data Availability for Research Purpose

Single point of contact for data monsoon_mission@tropmet.res.in
Other required fields (for research purpose only) can be made available as per request

Data VariablePeriod of the dataFrequency of DataExpt. Name/Model Used Reference Remarks
Precipitation and Sea surface temperature1981 - 2008MonthlySeaonal Hindcast experiment with Jan. to Dec IC (upto 9 months) /CFS V2 T382L64 Feb. IC data is available online at 
Feb IC Precipitation,Feb IC SST
Ramu et al (2016),  Pillai et al (2017)CFS V2 T382,  
CFS V2 T126
SST/SSS/SLA/
Temperature/
Salinity/Currents (zonal and meridional)
2004 to presentMonthly/5day/daily and Monthly climatologyOcean Analysis based on INCOIS-GODASRavichandran et al (2012)GODAS
All relevant atmospheric variables2000-20156 hourlyGlobal retrospective analysis using NGFS for the period 2000–2011.Prasad et al. (2017) , current science6 hourly
All relevant atmospheric variables1979-20176 hourlyIMDAA Regional ReanalysisMahmood et al., 2018, ASL (submitted)Resolution 12 km To be completed by April 2018
Soil moisture and soil temperature1981-20173 hourlyHigh resolution land data assimilated analysis.Nayak, H. P. et al.Made available on request to MM Directorate(freely available)

SRMC Meeting I

Monsoon Mission II

SRMC Meeting II

Monsoon Mission II

SRMC Meeting III

Monsoon Mission II

SRMC Meeting IV

Monsoon Mission II

SSC Meeting II

Monsoon Mission II

SRMC Meeting I

Monsoon Mission I

SRMC Meeting II

Monsoon Mission I

SRMC Meeting III

Monsoon Mission I

Project Proposals

Monsoon Mission I

SSC Meeting I

Monsoon Mission I

SSC Meeting II

Monsoon Mission I

SSC Meeting III

Monsoon Mission I

About Monsoon Mission

The Indian summer (southwest) monsoon is referred as lifeline of India, as ariability in any of its aspects (onset, withdrawal and quantum of rainfall) greatly influences the agriculture yield, economy, water resources, power generation and ecosystem. Hence, if the variations in monsoon rainfall are known well in advance, it would be possible to reduce the adverse impacts related to excess or deficient rainfall, providing us prior information about droughts and floods. The accurate prediction of monsoon rainfall is a basic need for the nation but remained a challenge over the decades. The long range prediction of the seasonal mean monsoon rainfall depends on dynamics of its year-to-year variations. Recent improvements in dynamical numerical models with ocean-atmosphere coupling can be useful for improvement of the monsoon forecast skill through a collective effort.

Ministry of Earth Sciences (MoES), Government of India has launched 'National Monsoon Mission' (NMM) with a vision to develop a state-of-the-art dynamical prediction system for monsoon rainfall on different time scales. MoES has bestowed the responsibility of execution and coordination of this mission to the Indian Institute of Tropical Meteorology (IITM), Pune. For this national mission, IITM is collaborating with NCEP (USA), MoES organisations and various academic institutions/organizations under NMM. Climate Forecast System (CFS) of NCEP, USA has been identified as the basic modelling system for the above purpose, as it is one of the best among the currently available coupled models. However, it has a moderate skill for retrospective forecast (hindcast) of seasonal monsoon rainfall and this skill needs to be improved to make the forecasts more useful. Thus, there is an urgent need to develop an Indian model based on CFS coupled model with an improved hindcast skill so that it can be transferred to the India Meteorological Department for operational forecasting. With this objective, To accomplish this task, MoES/IITM invited proposals from national and international scientists/organizations.


Base Models to be used

The Ministry of Earth Sciences (MoES) has considered to use the following numerical models : (i) The American model called “Climate Forecast System” (CFS) developed by National Centres for Environmental Prediction (NCEP), NOAA National Weather Service, USA. CFS is a coupled ocean-atmosphere modeling system that combine data from ocean, atmosphere and land for providing long range forecasting (seasonal prediction of Indian Monsoon); [ Model developments on CFS will be implemented by IITM, with atmospheric initial conditions from NCMRWF and Ocean initial conditions from INCOIS] and (ii) The Unified Model (UM), developed by the United Kingdom Meteorological Office (UKMO), UK. This model will be utilized for short to medium range prediction [and the Model developments on UKMO will be implemented by NCMRWF, in association with IMD.]

Need for NMM

El Nino and Southern Oscillation (ENSO) being a dominant mode of global inter-annual variability and due to its vast influence on other regional climates, in last few decades researchers have made large number of studies on the ENSO phenomena and its various impacts using atmospheric and ocean-atmosphere coupled general circulation models. In recent decades, dynamical numerical models have considerably improved and most of the global coupled models have shown good prediction skill of ENSO SST with six months lead time. The seasonal mean rainfall hindcast skill, at one season lead time, over the central Pacific is also very good. This has been possible due to a concerted effort by a group of devoted scientists. However, not much breakthrough has taken place in improving the prediction skill of Indian summer monsoon rainfall, even though it was expected as a prominent heat source over Indian region during summer monsoon period that drives the major atmospheric circulations.

Monsoon Mission Directorate

NAMEDesignation
Prof. Ravi S. NanjundiahDirector, IITM & Monsoon Mission Director
Dr. Suryachandra RaoScientist - G, Associate Mission Director
& Project Director, Monsoon Mission
Dr. V.V. GopalakrishnaProject Manager
Mr. Sagar BidkarComputer Application Supporting Scientist
Mr. Krunal D. KambleUpper Division Clerk
Mr. Vikas D. DhindleLower Division Clerk
Address

Indian Institute of Tropical Meteorology
Dr. Homi Bhabha Road, Pashan,
Pune 411 008
Maharashtra
India

Contacts

Mail: monsoon_mission@tropmet.res.in 
Phone: +91-20-2590-4424
Fax : +91-20-2586-5142

Links

Monsoon Mission Indo-UK Scientific Colaboration

Monsoon OnLine

At Monsoon OnLine (MOL) you can closely monitor the daily and weekly evolution of the monsoon.


Short Range Forecasts

Short Range Ensemble Prediction System

Mobirise

Extended Range Prediction

Seasonal and Extended Range Prediction has been providing experimental real-time forecast of the active-break spells of Indian Summer Monsoon Rainfall 

Seasonal Forecasts

Probabilistic and Deterministic forecast

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