Christos Giannaros

Christos Giannaros (photo private): EMS Tromp Awardee 2024
Christos Giannaros (photo private):
EMS Tromp Awardee 2024

Christos Giannaros was selected for the EMS Tromp Award for outstanding achievement in biometeorology 2024. Christos Giannaros is currently a postdoctoral researcher, HEAT-ALARM  project Principal Investigator and Coordinator at the National and Kapodistrian University of Athens, Greece.
He is awarded for the publication “Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece”(*) (2024) 11:76 . The paper has been published in the Scientific Data journal of the Nature Portfolio.

 

About Christos Giannaros

Christos Giannaros has a PhD in Environmental Physics. He is currently a postdoctoral researcher, HEAT-ALARM  project Principal Investigator and Coordinator at the National and Kapodistrian University of Athens, Greece. The primary field of his expertise is atmospheric numerical modelling. He has vast experience in using the Weather Research and Forecasting (WRF) model for various research and operational applications related to:

  • mesoscale meteorology and climatology (WRF),
  • urban meteorology (WRF-UCM and WRF-BEP/BEM),
  • data assimilation (WRF-DA),
  • hydrometeorology (WRF-Hydro), and
  • air quality (WRF-Chem, WRF-NEMO/CAMx and WRF-FLEXPART).

A significant part of his research focuses on human-biometeorology, aiming to investigate the environment’s effects on human health. Within this context, since 2023, he has been leading novel heat-health nexus assessments and the development of a prototype heat-health warning system as the Principal Investigator and Coordinator of the HEAT-ALARM research project, funded by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the ‘3rd Call for H.F.R.I. Research Projects to Support Post-Doctoral Researchers’ (Project Number: 06885).

Overall, he has published 24 papers in international and national peer-reviewed scientific journals (9 as first author), which have received a total of 622 citations (h-index 12).”

From 2022 he is co-teaching the courses (1) “Air Quality Models” and (2) “Atmospheric Circulation Models” by an official assignment in the framework of the Program of Postgraduate Studies in “Environmental Physics”, offered by the Department of Physics at the Aristotle University of Thessaloniki.

Outline of Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece

Existing assessments of the thermal-related impact of the environment on humans are often limited by the use of data that are not representative of the population exposure and/or not consider a human centred approach. Here, we combine high resolution regional retrospective analysis (reanalysis), population data and human energy balance modelling, in order to produce a human thermal bioclimate dataset capable of addressing the above limitations. The dataset consists of hourly, population weighted values of an advanced human-biometeorological index, namely the modified physiologically equivalent temperature (mPET), at a fine-scale administrative level and for 10 different population groups. It also includes the main environmental drivers of mPET at the same spatiotemporal resolution, covering the period from 1991 to 2020. The study area is Greece, but the provided code allows for the ease replication of the dataset in countries included in the domains of the climate reanalysis and population data, which focus on Europe. Thus, the presented data and code can be exploited for human-biometeorological and environmental epidemiological studies in the European continent.

Tromp Awardees 2024 video on YouTube

It is worth noting that the dataset has been initially developed for Greece at the NUTS-3 (Nomenclature of Territorial Units for Statistics-3) level, but recently it has been expanded to include mPET data for Cyprus at the LAU-1 (Local Administrative Units-1) level, focusing on six population groups (female and male children, adults and seniors). This fact highlights the replicability potential of the dataset and the flexibility of the provided code with respect to considering different groups of people at various levels of administrative division.

More about Christos Giannaros, PhD Environmental Physics

 

* ChristosGiannaros, IliasAgathangelidis, ElissavetGalanaki, ConstantinosCartalis, Vassiliki Kotroni, Konstantinos Lagouvardos, Theodore M.Giannaros, Andreas Matzarakis