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To make IITM a World Centre of Excellence in Basic Research on the Ocean-Atmosphere Climate System required for improvement of Weather and Climate Forecasts.

Indian Institute of Tropical Meteorology
Dr. Homi Bhabha Road,
Pashan, Pune 411008

INTROSPECT 2017 Live Webcast

Current Research Highlights


COSMOS soil moisture sensor launched at IITM
A new cutting-edge Cosmic-ray Soil Moisture Observation System (COSMOS) has been launched by Prof. V.K. Gaur, Distinguished Scientist, CSIR Fourth Paradigm Institute, Bangalore & Chairman, Governing Council, IITM on 31 January 2017.  A network of field-scale soil moisture monitoring stations is being developed across India (COSMOS-India) under the NERC-MoES program using cosmic-ray soil moisture sensors (CRS). The IITM CRS is the latest addition to the COSMOS-India network. Othe
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MoES Press Release regarding the commissioning of the high resolution Weather Prediction Model
A press release has been issued in regard of very high resolution GFS T1534 (12.5km) model forecast operationalization on the Press Information Bureau site of Govt. of India. Also it shows the integration of scientific research work and services across the MoES Institutions. The press release is available at following link
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Dr R. Krishnan, Acting Director, IITM elected as Fellow of the Indian Academy of Sciences 2017
Dr R. Krishnan, Acting Director, IITM  has been elected as a prestigious Fellow of the Indian Academy of Sciences 2017. Since the inception of  Indian Academy of Sciences  in the year 1934, nearly 2000 of the leading  scientists of India (as well as some from outside India) have been elected Fellows of the Indian Academy of Sciences. Along with the other academies of the country,  Indian Academy of Sciences  plays a major role in furthering the cause of sc
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Announcement of a Short Course on Dynamic Data Assimilation at IITM
Indian Institute of Tropical Meteorology will be conducting "A Short Course on Dynamic Data Assimilation: Theory and Applications" during 26 June - 7 July 2017. This course will provide  a classification of forecast errors and develop methods for correcting forecast errors using Dynamic Data Assimilation - which is a process for systematic fusion/merging of data into the models. The aim of this course is to provide a broad background on the basic principles and mathematical
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Rules and Regulations are under amendment
Present Rules and Regulations  of IITM are under amendment.
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