Research Axes

The homogenization of meteorological time series is a process of removing changes caused by non-climatic factors, so that any variations in the series correspond exclusively to climate change. The activities of LAPUP focus on testing and applying various homogenization methods to historical data, mainly from Greece.

Selected publications

• Mamara A. A. A. Argiriou, E. Anadranistakis (2013) Homogenisation of mean monthly temperatures for Greece. International Journal of Climatology, 33 (12):2649-2666.
• Mamara A. A. A. Argiriou, E. Anadranistakis (2014) Detection and Correction of Inhomogeneities in Greek Climate Temperature Series. International Journal of Climatology, 34 (10): 3024-3043.
• Li Z, Shi Y, Argiriou AA, Ioannidis P, Mamara A, Yan Z. A Comparative Analysis of Changes in Temperature and Precipitation Extremes since 1960 between China and Greece. Atmosphere. 2022; 13(11):1824. https://doi.org/10.3390/atmos13111824
• Argiriou, A.A., Li, Z., Armaos, V. et al. Homogenised Monthly and Daily Temperature and Precipitation Time Series in China and Greece since 1960. Adv. Atmos. Sci. (2023). https://doi.org/10.1007/s00376-022-2246-4

H oμογενοποίηση μετεωρολογικών χρονοσειρών είναι μια διαδικασία αφαίρεσης από αυτές μεταβολών λόγω μη κλιματικών αιτίων, έτσι ώστε οι όποιες διακυμάνσεις τους να αντιστοιχούν αποκλειστικά στην κλιματική μεταβολή. Οι δραστηριότητες του ΕΦΑΠ2 εστιάζουν στον έλεγχο και εφαρμογή διαφόρων μεθόδων ομογενοποίησης ιστορικών δεδομένων, κυρίως της Ελλάδος.

Selected publications

• Athanassios Zagouras, Athanassios A. Argiriou, George Economou, Spiros Fotopoulos, Helena A. Flocas (2013) Weather maps classification over Greek domain based on isobaric line patterns, Theoretical and Applied Climatology, 114(3):691-704. (http://rdcu.be/mU0d)
• Mamara, M. Anadranistakis, A.A. Argiriou, T. Szentimrey, T. Kovacs, A. Bezes, Z. Bihari (2017) High resolution air temperature climatology for Greece for the period 1971 – 2000. Meteorol. Appl. 24: 191-205 (http://onlinelibrary.wiley.com/doi/10.1002/met.1617/full).
• Konstantinos V Kolokythas and Athanassios A Argiriou. “Optimizing the input vectors of applied artificial neural network models for wind power production forecasting” Wind Engineering 1-12, https://doi.org/10.1177/0309524X211046382
• Vasileios Salamalikis, Panayiotis Tzoumanikas, Athanassios A. Argiriou, Andreas Kazantzidis, Site adaptation of global horizontal irradiance from the Copernicus Atmospheric Monitoring Service for radiation using supervised machine learning techniques, Renewable Energy, Volume 195, 2022, Pages 92-106, https://doi.org/10.1016/j.renene.2022.06.043.
• Tsiotas, G., Argiriou, A. & Mamara, A. Assessing the variability and forecastability of time-trends for air temperatures in Greece: a Bayesian approach. Theor Appl Climatol 155, 8089–8118 (2024). https://doi.org/10.1007/s00704-024-05118-y

This concerns the study of the stable isotopes of water in the atmosphere in general (water vapor – rain – snow). The analysis of stable water isotopes is a valuable tool for understanding the complex interactions between the atmosphere, hydrosphere, and biosphere. Water’s isotopic signatures provide important insights into various atmospheric processes as well as climate change. Another important isotope—radioactive this time—is tritium, the study of which reveals how water moves through the atmosphere, infiltrates the ground, and flows into rivers and oceans. Tritium analysis also provides information on patterns of atmospheric circulation and contributes to monitoring nuclear activities.

Selected publications

• Salamalikis, A.A. Argiriou, E. Dotsika (2016) Isotopic modeling of the sub-cloud evaporation effect in precipitation. Science of the Total Environment, 544: 1059-1072.
• Salamalikis, A.A. Argiriou, E. Dotsika (2016) Periodicity analysis of δ18O in precipitation over Central Europe:Time–frequency considerations of the isotopic ‘temperature’ effect. Journal of Hydrology, 534:150-163.
• Salamalikis V, Argiriou AA. Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe. Oxygen. 2022; 2(2):109-124. https://doi.org/10.3390/oxygen2020010
• Shengjie Wang, Liwei Wang, Gahong Yang, Yanqiong Xiao, Athanassios A. Argiriou, Yudong Shi, Shijun Lei, Mingjun Zhang, Altitude effect of precipitation isotopes in an arid mountain-basin system: Observation and modelling around the world’s second-largest shifting desert, Journal of Hydrology, Volume 636, 2024, 131351, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2024.131351.
• Xiao, Y., Wang, L., Wang, S. et al. Comparison of isotope-based linear and Bayesian mixing models in determining moisture recycling ratio. J. Arid Land 16, 739–751 (2024). https://doi.org/10.1007/s40333-024-0016-0