Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026088
C. Giannaros, Ilias Agathangelidis, E. Galanaki, C. Cartalis, V. Kotroni, K. Lagouvardos, A. Matzarakis
: Europe has been experiencing an increasing number of sweltering heat waves in recent years. This run of hot extremes induces a significant impact on the human environment, especially in terms of excess mortality, highlighting the urgent need for improved heat–health action planning. This is particularly true in countries situated in the eastern Mediterranean, which is considered a climate change hot spot. To increase preparedness and response to overheating risks, heat–health warning systems (HHWSs) are of vital importance. In this direction, the principal aim of the HEAT-ALARM research project is to provide a novel scientific and technological framework for the development of efficient HHWSs, employing Greece as a testbed. Going beyond the simple notion that outdoor meteorological conditions alone can adequately describe the heat–health nexus, a sophisticated human-biometeorological index, the modified physiologically equivalent temperature (mPET), is used. Advanced statistical models and tools are employed in order to establish a clear link between mPET and excess mortality at regional-unit administrative level. Moreover, urban climate factors produced by combining remote sensing and geographical information system techniques are incorporated into the HHWS via a state-of-the-art numerical weather prediction model. The latter includes a scheme that combines the parameterization and modeling of building effects and energy, respectively, in order to account for the urban indoor thermal conditions and the intra-urban differential heat exposure within the five highest populated cities of Greece (Athens, Thessaloniki, Patras, Heraklion and Larissa). Further, the human body’s acclimatization ability is considered, as well as the physiological characteristics of different vulnerable groups of people, including the elderly, women and outdoor workers. The current paper describes the scientific background of HEAT-ALARM and provides preliminary results associated with the project’s realization.
{"title":"The HEAT-ALARM Project: Development of a Heat–Health Warning System in Greece","authors":"C. Giannaros, Ilias Agathangelidis, E. Galanaki, C. Cartalis, V. Kotroni, K. Lagouvardos, A. Matzarakis","doi":"10.3390/environsciproc2023026088","DOIUrl":"https://doi.org/10.3390/environsciproc2023026088","url":null,"abstract":": Europe has been experiencing an increasing number of sweltering heat waves in recent years. This run of hot extremes induces a significant impact on the human environment, especially in terms of excess mortality, highlighting the urgent need for improved heat–health action planning. This is particularly true in countries situated in the eastern Mediterranean, which is considered a climate change hot spot. To increase preparedness and response to overheating risks, heat–health warning systems (HHWSs) are of vital importance. In this direction, the principal aim of the HEAT-ALARM research project is to provide a novel scientific and technological framework for the development of efficient HHWSs, employing Greece as a testbed. Going beyond the simple notion that outdoor meteorological conditions alone can adequately describe the heat–health nexus, a sophisticated human-biometeorological index, the modified physiologically equivalent temperature (mPET), is used. Advanced statistical models and tools are employed in order to establish a clear link between mPET and excess mortality at regional-unit administrative level. Moreover, urban climate factors produced by combining remote sensing and geographical information system techniques are incorporated into the HHWS via a state-of-the-art numerical weather prediction model. The latter includes a scheme that combines the parameterization and modeling of building effects and energy, respectively, in order to account for the urban indoor thermal conditions and the intra-urban differential heat exposure within the five highest populated cities of Greece (Athens, Thessaloniki, Patras, Heraklion and Larissa). Further, the human body’s acclimatization ability is considered, as well as the physiological characteristics of different vulnerable groups of people, including the elderly, women and outdoor workers. The current paper describes the scientific background of HEAT-ALARM and provides preliminary results associated with the project’s realization.","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125248305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026085
S. Gkaras, Eleni Triantafyllou, A. Dougali, C. Diamantopoulos, E. Tolis, A. Triantafyllou
{"title":"Source Apportionment of the Atmospheric Aerosol in Western Macedonia, GREECE, Part 1: Concentrations of Metallic Components, Major Ions, and PAHs in PM10 Samples","authors":"S. Gkaras, Eleni Triantafyllou, A. Dougali, C. Diamantopoulos, E. Tolis, A. Triantafyllou","doi":"10.3390/environsciproc2023026085","DOIUrl":"https://doi.org/10.3390/environsciproc2023026085","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128174081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026102
Evangelos I. Stasinos, N. Bakas
{"title":"An Investigation of the Dynamics Leading to the Emergence of Jets and Rossby Waves from a Background of Homogeneous Turbulence in a Baroclinic Atmosphere","authors":"Evangelos I. Stasinos, N. Bakas","doi":"10.3390/environsciproc2023026102","DOIUrl":"https://doi.org/10.3390/environsciproc2023026102","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124011884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026083
V. Salamalikis, Panayiotis Tzoumanikas, A. Kazantzidis
{"title":"A Deep Learning Framework for Estimating Global and Diffuse Solar Irradiance Using All-Sky Images","authors":"V. Salamalikis, Panayiotis Tzoumanikas, A. Kazantzidis","doi":"10.3390/environsciproc2023026083","DOIUrl":"https://doi.org/10.3390/environsciproc2023026083","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114157228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026109
F. Gofa, D. Boucouvala, Ioannis Samos, P. Louka
{"title":"Lightning Potential Forecast Evaluation and Its Correlation with Thermodynamic Indices","authors":"F. Gofa, D. Boucouvala, Ioannis Samos, P. Louka","doi":"10.3390/environsciproc2023026109","DOIUrl":"https://doi.org/10.3390/environsciproc2023026109","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026082
Petros A. Belimezis, N. Hatzianastassiou, M. Gavrouzou, M. Korras-Carraca
{"title":"A Climatology of Dust Aerosol Episodes over Asia and the Caspian Sea","authors":"Petros A. Belimezis, N. Hatzianastassiou, M. Gavrouzou, M. Korras-Carraca","doi":"10.3390/environsciproc2023026082","DOIUrl":"https://doi.org/10.3390/environsciproc2023026082","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125021883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026090
I. Pytharoulis, S. Kartsios, V. Kostopoulos, C. Spyrou, I. Tegoulias, D. Bampzelis, P. Zanis
: The Agroray project was aimed at the development of a high-resolution numerical weather prediction system that will allow farmers to optimize their activities and protect their products from adverse weather events. The system is based on the Weather Research and Forecasting model and focuses on Central Macedonia with a horizontal grid spacing of 1 km. The aim of this article is to describe the model configuration and validate its performance during selected frost and intense precipitation events. The evaluation against station measurements and radar precipitation showed that the optimum model setup includes Corine land use and enhanced vertical resolution near the surface.
{"title":"The High-Resolution Numerical Weather Prediction System of the Agroray Project","authors":"I. Pytharoulis, S. Kartsios, V. Kostopoulos, C. Spyrou, I. Tegoulias, D. Bampzelis, P. Zanis","doi":"10.3390/environsciproc2023026090","DOIUrl":"https://doi.org/10.3390/environsciproc2023026090","url":null,"abstract":": The Agroray project was aimed at the development of a high-resolution numerical weather prediction system that will allow farmers to optimize their activities and protect their products from adverse weather events. The system is based on the Weather Research and Forecasting model and focuses on Central Macedonia with a horizontal grid spacing of 1 km. The aim of this article is to describe the model configuration and validate its performance during selected frost and intense precipitation events. The evaluation against station measurements and radar precipitation showed that the optimum model setup includes Corine land use and enhanced vertical resolution near the surface.","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026093
Anastasia Angelou, S. Gewehr, S. Mourelatos, I. Kioutsioukis
{"title":"Early Warning Impact of Temperature and Rainfall Anomalies onto West Nile Virus Human Cases","authors":"Anastasia Angelou, S. Gewehr, S. Mourelatos, I. Kioutsioukis","doi":"10.3390/environsciproc2023026093","DOIUrl":"https://doi.org/10.3390/environsciproc2023026093","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116354964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026106
Christos-Panagiotis Giannaklis, Stavros-Andreas Logothetis, V. Salamalikis, Panayiotis Tzoumanikas, A. Kazantzidis
{"title":"Impact of Aerosol Optical Properties, Precipitable Water, and Solar Geometry on Sky Radiances Using Radiative Transfer Modeling","authors":"Christos-Panagiotis Giannaklis, Stavros-Andreas Logothetis, V. Salamalikis, Panayiotis Tzoumanikas, A. Kazantzidis","doi":"10.3390/environsciproc2023026106","DOIUrl":"https://doi.org/10.3390/environsciproc2023026106","url":null,"abstract":"","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121961617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.3390/environsciproc2023026092
N. Kollas, S. Gewehr, S. Mourelatos, I. Kioutsioukis
: Utilizing an extension of Pearson’s correlation in the case of random vectors, we improve the empirical dynamic modeling causal analysis of non-linear systems. To prove the effectiveness of the use of such an extension we analyze two real-world examples, the paramecium-didinium protozoan system and the influence of environmental variables on mosquito abundance in northern Greece. In both examples it is shown that the causal analysis based on the extended metric outperforms the usual method of measuring the correlation between observed and predicted values of a single vector component.
{"title":"An Improved Indicator for Causal Interaction in Non-Linear Systems","authors":"N. Kollas, S. Gewehr, S. Mourelatos, I. Kioutsioukis","doi":"10.3390/environsciproc2023026092","DOIUrl":"https://doi.org/10.3390/environsciproc2023026092","url":null,"abstract":": Utilizing an extension of Pearson’s correlation in the case of random vectors, we improve the empirical dynamic modeling causal analysis of non-linear systems. To prove the effectiveness of the use of such an extension we analyze two real-world examples, the paramecium-didinium protozoan system and the influence of environmental variables on mosquito abundance in northern Greece. In both examples it is shown that the causal analysis based on the extended metric outperforms the usual method of measuring the correlation between observed and predicted values of a single vector component.","PeriodicalId":357261,"journal":{"name":"16th International Conference on Meteorology, Climatology and Atmospheric Physics—COMECAP 2023","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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