Welcome to my personal website
I am a PhD student working on climate modeling. Please check back for more info as the website is being updated!!!
Research Intersts: Dynamics of surface phenomenon is far less than atmosphere. Hence, surface processes are much simpler than other component processes. However, the present modeling capabilities are limited as less is understood even the surface phenomenon. It is evident from our knowledge those processes embedded into Land Surface Models (LSMs). Hence, the effective path to excel in the modeling capabilities is to multichotomise the entire system and start with understanding of a simpler piece of it. Hence, we start with surface process sensitivities on variables that modify weather/climate. These sensitivity studies not only reveal the weaknesses present in the physical processes included in the models but also give a great scope to improve such weak processes.
Understanding of the Surface Fluxes to Atmosphere through process sensitivity studies using both observations and modeling. Characteristics of vegetated surface are different from arid/semi arid/sparsely vegetated surface. It is evident that densely vegetated areas such as tropical rainforest demands a complex physics. The present models are much simpler in physics/more parameterised. Hence, there is a great demand of sensitivity studies to pick malfunctioned/over parameterized processes in the LSMs to mend them through the same sensitivity studies with sophisticated mathematical formulations.
Densely vegetated areas such as Tropical Forests (TFs) have global and region influence. But, the processes related to dense vegetation are stintly quantified. We have found such malfunctioned/over-parameterized processes related to forest canopies so our work starts with the horizon of intervention of forests in the earth system processes.
Research Focus for the Dissertation: Currently, I am trying to understand the forest canopy sensitivity on heat and moisture fluxes to the atmosphere in the African Congolese rainforest. The state-of-the-art LSMs models have difficult time simulating energy and moisture fluxes over dense forests. We have found that deficiency in the canopy interference in the LSMs and coming up with the sophisticated physics.
The outcome of this dissertation will reveal the deficiency in physics of LSMs and will improve the forest canopy phenomenon in weather and climate models.