At the Center for Prototype Climate Modeling, our research encompasses a diverse range of projects, unified by one central goal: improving our ability to understand and make predictions about future climate. The magnitude and importance of this task is evident from the looming fact of climate change: if we are to implement meaningful solutions to combat the disastrous effects of climate change, we have to be able to anticipate these effects, which makes it essential that we first specify and describe the exact nature of this change.
To this end, we work on developing new and innovative methods for high-accuracy prediction, such as high-resolution simulations, parametrizations, and low-order predictive models: think complex mathematical models and high-performance computing. We apply these methods to understand fundamental earth processes — atmospheric, oceanic and biogeochemical — that determine and influence changes in climate. We also use these mathematical tools to understand the interaction of these processes, and how they influence one another. And then, by carefully simulating these processes and tracking their complex interactions, we predict and quantify the precise nature of imminent changes to climate in regions around the world — with a close focus on the Gulf and South Asian regions. Consequently, our methods allow us to engage in a number of highly impactful research activities — these include predicting variations in the South Asian monsoons, studying the dynamics of regional cyclones, and examining the ecological implications of deoxygenation in the Arabian Sea.
At the Center for Prototype Modeling, therefore, we work hard towards our mission of bridging the existing gaps between climate theory, mathematical models and observation, in order to see our future — and the future of climate — more accurately and clearly.
Biogeochemistry of the Arabian Sea and Indian Ocean
Prototype Climate Models for Better Prediction of Weather and Climate
Principal Investigator: Andrew Majda | Senior Scientist: Ajaya Ravindran
We focus on the development of new methods, including parameterizations, diagnostics and low-order predictive models. These newly-developed methods are applied to critical problems of the tropical and subtropical atmosphere and ocean. For instance, we’ve developed a stochastic multicloud model to parameterize tropical convection and have tested with Global General Circulation Models. Another major research area is the development of low-order models to predict various nonlinear atmospheric and oceanic phenomenon like ENSO, low-frequency oscillations (like the Madden-Julian/Monsoon intra-seasonal oscillations). A new diagnosis technique called Nonlinear Laplacian Spectral Analysis has been developed and used to analyze monsoon intra-seasonal oscillations. These advanced mathematical techniques help us in understanding the basic dynamics of the atmospheric-oceanic system and thereby leads us to improved prediction of the weather and climate.
Regional Climate Modeling for the Arabian Peninsula and South Asia
Principal Investigator: Olivier Pauluis
Global models used to predict future climate changes offer a broad picture of how weather conditions will evolve around the world, but provide little information on local impact. Our group has been developing a high resolution regional climate model to assess how changes in global climate will specifically affect the Arabian Peninsula and the Indian Subcontinent. Our research aims to better understand how regional features affect the hydrological cycle (the evaporation of water from the ocean, the formation and movement of clouds, and the subsequent return of water in the form of precipitation). This allows us to better identify risks to the water supply, study extreme weather such as tropical cyclones and droughts, and develop methods to combat them.
As part of this broad effort, we have studied the intensity of tropical cyclones in the Arabian Sea, which have important implications for summer climate in the Arabian Peninsula and for extreme rainfall over the Arabian Gulf. We also study the onset and evolution of the Indian Summer Monsoon; for instance, we examine the extent to which the Madden-Julian Oscillation — a pattern of intra-seasonal rainfall fluctuations — determines the timing of onset of the South Asian monsoons, which allows us to make highly accurate predictions about the arrival of the monsoons.
Apart from the above research activities, we are also part of an international effort to assess the potential for rainfall enhancement in the UAE, working with researchers from institutes in China, Germany and the US. Our work as part of this initiative is instrumental in helping us understand how we can improve water security in arid and semi-arid areas around the world.