Antonios Mamalakis
I am a PhD candidate in the Department of Civil and Environmental Engineering at the University of California, Irvine.
My research aims to improve understanding of how climate variability and change impact hydroclimate at different spatial (regional to global) and temporal (seasonal to decadal) scales. My ultimate goal is the reliable prediction and physical attribution of changes in precipitation and climatic extremes, towards mitigating and adapting to global environmental change. In the last decades, much progress has been made in this field, mainly stemming from more accurately and systematically monitoring Earth’s climate across scales, and improving Earth System Models due to increases of computing power and physical understanding. Capitalizing on these advances, my research utilizes state of the art observations from space and land, reanalysis datasets and outputs from climate models of different complexity and uses a diverse set of approaches, including statistical and Bayesian analysis, machine/deep learning, and dynamical systems theory to pose and test hypotheses and improve predictive skill.
News
Study included in the top 50 articles of Nature Comm:
A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US
July 2019
New Publication:
Reply to: A critical examination of a newly proposed interhemispheric teleconnection to Southwestern US winter precipitation
June 2019
12th International Precipitation Conference:
Poster Presentation on future ITCZ shifts
June 2019
New teleconnection increases predictability of precipitation in southwestern US
Simultaneous Bias Correction and spatial Downscaling of climate model Rainfall
