Imperial College London

DrAthanasiosPaschalis

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Lecturer in Hydrology
 
 
 
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Contact

 

+44 (0)20 7594 6004a.paschalis

 
 
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Location

 

407Skempton BuildingSouth Kensington Campus

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Summary

 

Summary

Athanasios Paschalis is a lecturer in Hydrology in the Department of Civil and Environmental Engineering. His research and activities focus on hydrology, stochastic methods for hydrological applications, risk assessment, ecohydrological and ecosystem modelling.

His primary research interests are the physical understanding of the Earth system and the computational modelling of hydrological processes, and their links to atmospheric processes and vegetation dynamics. He has also worked extensively developing stochastic models for meteorological variables as numerical tools for probabilistic natural hazard risk assessment.   

Athanasios graduated in Civil Engineering at the National Technical University of Athens (NTUA) in 2009. He got his PhD in hydrology at ETH Zurich in 2013. Before joining Imperial College in 2017 as a Lecturer he worked as a research associate at Duke University (2014-2015) and at the University of Southampton (2015-2017).

Publications

Journals

Fatichi S, Manzoni S, Or D, et al., 2019, A mechanistic model of microbially mediated soil biogeochemical processes ‐ a reality check, Global Biogeochemical Cycles, ISSN:0886-6236

Paschalis A, Fatichi S, Pappas C, et al., 2018, Covariation of vegetation and climate constrains present and future T/ET variability, Environmental Research Letters, Vol:13, ISSN:1748-9326

Wu D, Ciais P, Viovy N, et al., 2018, Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites, Biogeosciences, Vol:15, ISSN:1726-4170, Pages:3421-3437

Peleg N, Marra F, Fatichi S, et al., 2018, Spatial variability of extreme rainfall at radar subpixel scale, Journal of Hydrology, Vol:556, ISSN:0022-1694, Pages:922-933

Peleg N, Fatichi S, Paschalis A, et al., 2017, An advanced stochastic weather generator for simulating 2-D high-resolution climate variables, Journal of Advances in Modeling Earth Systems, Vol:9, ISSN:1942-2466, Pages:1595-1627

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