Fri, Apr 19, 2024
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CSIR Fourth Paradigm Institute

(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)

A constituent laboratory of Council of Scientific & Industrial Research (CSIR).

Ministry of Science and Technology, Government of India.

by Priyanshi Singhai, Arindam Chakraborty, Kavirajan Rajendran & Sajani Surendran 

Abstract:
Interannual variability of the Indian summer monsoon rainfall (ISMR) is explained through the total column water vapor in the atmosphere, primarily controlled by the incoming zonal moisture flux over the Arabian Sea (Fw) and outgoing flux over the Bay of Bengal (Fe). In this study, we discern the underlying mechanisms driving Fw and Fe leading to ISMR droughts in the observations and seasonal hindcasts by the Climate Forecast System version 2 (CFSv2) model. In observations, a reduction in Fw is essential for droughts to occur. In addition, an increase in Fe results in a severe drought. On the contrary, droughts in CFSv2 primarily occur due to an enhancement in Fe, seldom accompanied by a decrease in Fw. This hypersensitivity of the CFSv2 ISMR to Fe is further explained using Matsuno–Gill response to moist convection. During El Nino droughts, precipitation decreases over the equatorial western Pacific and eastern Indian Oceans. The resulting anomalous diabatic cooling increases local surface pressure (SP), intensifying meridional SP gradient, and thus, Fe. The reduction in Fw , however,  is associated with a cooling of the central north Pacific Ocean in tandem with El Nino. During non-El Nino droughts, frequent occurrences of cold sea surface temperature over the western north Pacific Ocean are noticed. This cooling decreases SP over east Asia, resulting in an increase in Fe. To summarize, droughts in CFSv2 are controlled by the pan-Pacific climate, significantly increasing Fe but weakly decreasing Fw. But in observations, a strong decrease in Fw and a moderate increase in Fe together lead to droughts.

 

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Vision: 

To synergize the strong expertise in various disciplines across CSIR and build a unified platform that embodies a rich set of big data enabling technologies and services with optimized performance to facilitate research collaboration and scientific discovery. 

Mission:

Develop knowledge products in Earth, Engineering and information sciences for societal good by exploiting modeling, simulation and data science capabilities.

Mandate: 

To develop reliable knowledge products for decision support in Earth, Engineering and Information sciences as well as to host centralised supercomputing facility for CSIR. 

Student Programme for Advancement in Research Knowledge (SPARK)

SPARK is intended to provide a unique opportunity to bright and motivated students of reputed Universities to carry out their major project/thesis work and advance their research knowledge in mathematical modelling and simulation of complex systems. The programme is intended to increase the interaction between scientists and faculty members of academic institutes along with their students towards a long term research collaboration. Click here to apply for SPARK.

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