Dr. Gopika Suresh
National Centre for Medium Range Weather Forecasting, National Institute of Oceanography CSIR, Neuromatch, Kerala Agricultural University
0000-0001-6409-7778
About
Dr. Gopika S. is a climate scientist specializing in climate variability and change, climate model evaluation, and atmosphere–ocean interactions. Her research focuses on separating externally forced climate signals from natural internal variability, understanding signal emergence and signal-to-noise characteristics in climate models, and diagnosing the mechanisms driving regional climate change.
She developed a novel Time of Detection framework to assess climate signal emergence and climate model performance. Her work combines observations, reanalysis products, CMIP ensembles, and ocean model simulations to investigate climate variability, model biases, climate predictability, and tropical ocean warming.
Currently, she is a Project Scientist at NCMRWF, working on coupled climate models, parameterization improvement, model tuning, and studies of rainfall variability, extreme precipitation, and tropical cyclones.
Employment
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National Centre for Medium Range Weather Forecasting Project Scientist II2025 - Present
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National Institute of Oceanography CSIR2020 - 2025
Education
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Neuromatch TA certificate2026 - 2026
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National Institute of Oceanography CSIR PhD researcher2022 - 2026
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Kerala Agricultural University BSc-MSc (integrated) Climate change Adaptation2010 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Drivers of CMIP Tropical Pacific Warming Pattern Diversity Save
- Drivers of Future Indian Ocean Warming and Its Spatial Pattern in CMIP Models Save
- A key role of surface atmospheric circulation changes in setting global ocean warming magnitude Save
- Crucial role of ocean dynamics for the CMIP models equatorial Pacific warming pattern diversity Save
- Mechanisms of the Indian Ocean surface warming pattern in CMIP5 and 6 models Save
- Contrasting Historical Trends in Equatorial Indian Ocean Zonal Sea Surface Temperature Gradient in CMIP6 Models Save
- Controllability of stochastic impulsive integro-differential systems involving nonlocal conditions and conformable derivatives Save
- Assessing CMIP Models’ Ability to Detect Observed Surface Warming Signals Related to Climate Change Save
- Controllability of Impulsive Nonlinear Fractional Dynamical System with Delays in State and Control Save
- Role of subsurface layer temperature inversion in cyclone induced warming in the northern Bay of Bengal Save