Joy Merwin Monteiro
Assistant Professor
Earth and Climate Science Data Science (Joint)
Geophysical Fluid dynamics, Climate Modelling, Extremes in the Climate System
joy@iiserpune.ac.in
Joy Monteiro obtained his PhD in 2016 from the Centre for Atmospheric and Oceanic Sciences at the Indian Institute of Science, Bangalore. He was then a postdoctoral scientist at the Department of Meteorology at Stockholm University until 2019 and joined IISER Pune in 2020.
Research
Extreme events, Climate Modelling, Geophysical Fluid Dynamics
Joy’s research is mostly curiosity driven, with an inclination towards problems in climate science with a significant mathematical and computational component. The aim is to elucidate fundamental physical principles underlying climate phenomena using observations, theory and modelling. His current work focuses on extreme heat events in South Asia and developing a flexible modelling framework to facilitate building climate model hierarchies.
Selected Publications
Pandey, Karran, Joy Merwin Monteiro, and Vijay Natarajan. 2020. “An Integrated Geometric and Topological Approach for the Identification and Visual Analysis of Rossby Wave Packets.” Monthly Weather Review, June. https://doi.org/10.1175/MWR-D-20-0014.1.2.
Monteiro, Joy Merwin, and Rodrigo Caballero. 2019. “Characterization of Extreme Wet-Bulb Temperature Events in Southern Pakistan.” Geophysical Research Letters. https://doi.org/10.1029/2019GL084711.3.
Monteiro, Joy Merwin, Jeremy McGibbon, and Rodrigo Caballero. 2018. “Sympl (v. 0.4.0) and Climt (v. 0.15.3) – towards a Flexible Framework for Building Model Hierarchies in Python.” Geoscientific Model Development 11 (9): 3781–94. https://doi.org/10.5194/gmd-11-3781-2018.4.
Suhas, D. L., Jai Sukhatme, and Joy M. Monteiro. 2017. “Tropical Vorticity Forcing and Superrotation in the Spherical Shallow-Water Equations.” Quarterly Journal of the Royal Meteorological Society 143 (703): 957–65. https://doi.org/10.1002/qj.2979.5.
Monteiro, Joy M., and Jai Sukhatme. 2015. “Quasi-Geostrophic Dynamics in the Presence of Moisture Gradients.” Quarterly Journal of the Royal Meteorological Society, July, 187--195. https://doi.org/10.1002/qj.2644.