Publications by Year: 2017

2017
Nastos, P.T., Karavana Papadimou, K. & Matsangouras, I.T. Mediterranean tropical-like cyclones: Impacts and composite daily means and anomalies of synoptic patterns. Atmospheric Research (2017). Website
Politi, N., Nastos, P.T., Sfetsos, A., Vlachogiannis, D. & Dalezios, N.R. Evaluation of the AWR-WRF model configuration at high resolution over the domain of Greece. Atmospheric Research (2017). Website
Avgoustoglou, E., et al. Numerical modeling analysis of the mesoscale environment conducive to two tornado events using the COSMO.Gr model over Greece. Atmospheric Research (2017). Website
Nastos, P.T., Bleta, A.G. & Matsangouras, I.T. Human thermal perception related to Föhn winds due to Saharan dust outbreaks in Crete Island, Greece. Theoretical and Applied Climatology 128, 635-647 (2017). Website
Matsangouras, I.T., et al. Analysis of waterspout environmental conditions and of parent-storm behaviour based on satellite data over the southern Aegean Sea of Greece. International Journal of Climatology 37, 1022-1039 (2017). Website
Mylonas, M.P., Nastos, P.T. & Matsangouras, I.T. PBL parameterization schemes sensitivity analysis on WRF modeling of a tornadic event environment in Skala Lakonia in September 2015. Atmospheric Research (2017). Website
Sifnioti, D.E., Soukisian, T.S., Poulos, S.E., Nastos, P.T. & Hatzaki, M. Evaluation of in-situ wind speed and wave height measurements against reanalysis data for the Greek Seas. MEDITERRANEAN MARINE SCIENCE 18, 486-503 (2017).Abstract
{ERA-Interim, ECMWF's reanalysis product, includes wave and atmospheric characteristics, with high temporal and spatial scale, providing more information on the marine state. Even though their assimilation process has been validated and verified in numerous studies, their performance in more local scales is still under examination. This research focuses on the evaluation of performance of ERA-Interim reanalysis datasets in the Greek Seas for wind and wave characteristics in comparison to POSEIDON buoy data. The results prove fair to good correlation for wave height (r=0.67-0.94) and wind speed (r=0.71-0.83) and different error statistics per sub-region. The analysis of the upper 10% (90th percentile) shows an underestimate of 10-15% for wind speed and wave height from ERA-Interim in relation to the buoy measurements. The ERA-Interim and the buoy monthly means and standard deviations are also presented and discussed according to seasonal patterns. The results of the study are compared to other researches of wave hindcasting and wind reanalysis data for the Greek Seas and globally. It is shown that ERA-Interim products could be regarded as representative for the Greek Seas, although their application should be made with caution regarding the assessment of extreme conditions (i.e. given in analyses of upper percentiles) and especially at nearshore locations due to complex coastline configuration enhanced by the great number of islands.}
Nastos, P.T., Vassilakis, E., Nastos, M.-P.P., Charalampopoulos, I. & Matzarakis, A. Assessment of continuous sky view factor based on ultra-high resolution natural colour images acquired by remotely piloted airborne systems for applications in an urban area of Athens. International Journal of Remote Sensing 38, 5814-5829 (2017).Abstract
The thermal comfort conditions in a complex urban area is influenced by the surrounding structures and obstacles which modify the incoming radiation fluxes. A measure of this modification is the sky view factor (SVF), which could be estimated in each point of a selected area if a high resolution digital elevation model (DEM), or other urban morphological data including the manmade infrastructure, are available. The goal of this study is to model the continuous SVF for a complex building environment in the campus of National and Kapodistrian University of Athens, based on a high resolution DEM (0.09 m). For this purpose, we applied the structure-from-motion (SfM) technique, which takes advantage of the interpretation of ultra-high resolution colour images acquired by remotely piloted airborne systems, also known as drones or unmanned aerial vehicles. A quantitative analysis, by applying statistical metrics, yields perfect agreement between modelled and observed SVF values, over the examined area. The proposed methodology could be applied for human-biometeorology research in micro scale complex urban environments.