Air Mass Trajectories regarding Hydro Meteorological Disasters in Greece Registered in the EM-DAT Database ^†

Abstract

During the last few decades, there has been an increase in the number of natural disasters in Greece, triggering consequences and raising public awareness. This research highlights air masses trajectories during flash floods and meteorological disasters in Greece, registered in the Emergency Database EM-DAT. Registered disasters on the EM-DAT platform offer a relevant information base for vulnerability assessment and rational decision-making in disaster situations. In Greece, the time series of registered disasters covered 117 years between 1904 and 2021, and 146 disasters were registered; 100 and 46 events were classified, respectively, as natural and technological disasters. The period 1980–2021 records a total of 83 out of 100 natural disasters. The categories of natural disasters included in the database do not vary, but there has been a striking increase in the number of meteorological and hydrological ones during the period 1980–2021. Meteorological disasters (a total of 17, out of which 15 were registered after 1980) and hydrological ones (23, all of them registered after 1980). Meteorological and hydrological disasters are associated with the large-scale circulation of air masses, which favors the occurrence of such phenomena. In order to identify their characteristics, back-trajectories analysis was used. The results indicate that flash floods occur when air masses are moving above warm sea waters, while for the other meteorological disasters, air masses moved from North Africa or North Europe/Atlantic areas.

1. Introduction

During the last few decades, there has been an increase in the number of natural disasters in Greece, triggering consequences and raising public awareness. According to the Emergency Database (the so-called EM-DAT), 146 disasters were recorded in Greece from 1904 to 2020; 100 and 46 events were classified, respectively, as natural and technological disasters. This research highlights air masses trajectories during meteorological and hydrological (only flash flood) disasters in Greece, registered in the EM-DAT, and some common characteristics.

2. Materials and Methods

All data used regarding disasters’ details were adopted from the Emergency Database EM-DAT, which is an effort undertaken by the Centre for Research on the Epidemiology of Disasters, Louvain (Belgium), providing a unified platform for events’ registration [1]. Registered disasters on the EM-DAT platform (

Table 1. Part of the EM-DAT records regarding 17 meteorological and 3 hydrological (flash flood) disasters.

Disaster Type	Disaster Subtype	Date	Total Deaths	No. of Injured	Back-Trajectories	SST Anomaly
Storm	Convective storm	13 June 1930	22		N/A	N/A
Storm	Tropical cyclone	6 November 1961	43		W-SW	N/A
Extreme temperature	Heat wave	5 August 1985	20		NW	N/A
Storm		9 March 1987	48		W-SW	N/A
Extreme temperature	Heat wave	20 July 1987	1000		W-NW	N/A
Extreme temperature	Heat wave	3 July 1988	56		W	N/A
Storm		28 February 1990	3		W-SW	N/A
Extreme temperature	Cold wave	5 February 1991	5		N	N/A
Extreme temperature	Heat wave	1 July 2000	27	176	NW	N/A
Storm		4 January 2002	2	12	W-SW	+
Storm		22 January 2004			W-SW	+
Storm		13 February 2004			W-SW	+
Storm		17 October 2006	3		W-SW	+
Extreme temperature	Heat wave	1 June 2007	16		NW	+
Extreme temperature	Cold wave	1 February 2012	5		N	+
Extreme temperature	Severe winter conditions	20 January 2017			NW-N-NE	+
Storm	Convective storm	10 July 2019	7	123	S-SW	+
Flash flood	Depression ‘Gonzalo’	24 October 2014			S-SW	+
Flash flood	Slide (land, mud, snow, rock)	15 November 2017	23	24	S-SW	+
Flash flood		11 November 2020			W-SW	+

) offer a relevant information base for vulnerability assessment and rational decision-making in disaster situations. In Greece, the Hellenic General Secretariat for Civil Protection (GSCP) has been responsible for the registration of natural or technological disasters in the EM-DAT database, following the norms, classifications, and thresholds adopted by the same organization. This time series of registered disasters, covering 117 years between 1904 and 2021, was retrieved from EM-DAT (2021).

Since the scope of this paper is to examine the origin of the air masses and their movement before the meteorological disaster, two free online models for calculating the trajectories were used: ARL NOAA’s HYSPLIT model and the “Flextra” model (air mass trajectories) to calculate the paths of the air masses, their origin, and the type of weather systems that occurred. Both are atmospheric trajectory models [2,3,4]. They can calculate both forward and backward trajectories and can be driven by meteorological input data from a variety of global and regional models, including ECMWF analyses and forecasts [4].

3. Results and Discussion

According to the EM-DAT database, 146 disasters were recorded in Greece from 1904 to 2020; 100 and 46 events were classified, respectively, as natural and technological disasters [1,5]. The period 1980–2021 records a total of 83 out of 100 natural disasters. The results obtained from the analysis of the database show a significant increase in disasters per year after 1980. The categories of natural disasters included in the database do not vary, but there has been a striking increase in the number of meteorological, hydrological, and climatic ones during the period 1980–2021.

Geophysical disasters, and especially earthquakes as a sole subcategory, have been the most significant category of all natural disasters in Greece. In the EM-DAT database, there are no geophysical hazard subcategories other than earthquakes (a total of 44, out of which 26 were registered after 1980). However, the case is not the same concerning the other main disaster classifications (Figure 1). Specifically, meteorological disasters (a total of 17, out of which 15 were registered after 1980), hydrological disasters (23, all of them registered after 1980), and climatic disasters (16, all of them registered after 1980). Meteorological disasters contain the subcategories “Storms” (9 cases) and “Extreme Temperatures” (8 cases), with the latter containing the sub-subcategories “Heat” (5), “Cold Waves” (2), and “Extreme Winter” (1 case). Hydrological disasters contain the subcategories “River Floods” (20 cases) and “Flash Floods” (3 cases). Finally, climatic disasters contain the subcategories “Extreme Fires” (15 cases) and “Drought” (1 case). The percentages of each category for human and property losses are the following: fatalities: both geophysical and meteorological disasters account for 29%, hydrological ones for 3%, and climatological disasters for 5%; injuries: 85.7%, 3.4%, 0.3%, and 7.7% respectively; number of homeless persons registered: 96.2%, 0.0%, 0.0%, and 2.1% respectively; the number of total affected population: 96.2%, 0.1%, 1.8%, and 1.6% by natural disaster category; with the total cost of disasters in USD 000’s adjusted value: 63.9%, 5.3%, 8.7%, and 21.9%, respectively.

The results for 20 events (17 meteorological) and 3 hydrological (flash floods) are shown in Figure 2. The results of the cases described above suggest that air mass transportation originated mainly from the Central and West Mediterranean regions in cases of storms and flash floods. Air masses usually circulate above the central Mediterranean Sea and Greece. Two major types of circulation were identified (cyclonic and anti-cyclonic), with variations concerning the strengths of each observed system. Air masses above the Mediterranean Sea usually enrich the air with humidity. Thus, for all the cases after 2002 where data became available, the sea surface temperature anomaly was checked. In all cases, it is positive, but it differs in terms of intensity and area extent [6].

4. Conclusions

Meteorological and hydrological disasters are associated with air masses circulation on a large scale, which favors the occurrence of such phenomena. In order to identify their characteristics, back-trajectories analysis was used. The results indicate that flash floods occur when air masses are moving above warm sea waters, while for the other meteorological disasters, air masses moved from South and West to North directions, indicating North Africa or North Europe/Atlantic areas [7].

In Greece, the main category of natural disasters are geophysical ones, especially earthquakes, which contribute significantly to the registered numbers of deaths and injuries [5]. Up until now, the efforts of precautionary measures and actions to reduce the effects of natural hazards have been focused on this category.

The disasters during the last decades show the need for action and protection measures for the other categories as well [8]. According to the data in the EM-DAT database, however, one fact emerged: the existence of non-registered disasters, which, according to the existing framework, only the General Secretariat of Civil Protection has the right to register. It is absolutely clear and understandable that every meteorological or other phenomenon is not a natural disaster (e.g., an earthquake that occurs at sea, far from populated areas). An example from Greece is the absence of registrations regarding biological disasters, despite the fact that at least in the last decades there have been epidemics of influenza (H1N1), West Nile Virus [9], the ongoing COVID-19 pandemic, etc. But the more complete the database, the better the results of its investigation.

Natural disasters usually cause a series of long-term damaging problems (human casualties, health, infrastructure, environmental, planning, etc.) that need long-term monitoring. It is important to record and register in international databases all the available data on natural disasters in Greece. The lack of data due to unrecorded disasters as well as incomplete international databases affects policy decision-making issues.

The empirical results of this study indicate that policymakers have to consider additional prevention and mitigation plans to meet new approaches regarding existing risks for the general population [10]. This could also be a planning and risk management tool for policy and decision-making authorities to chart their long-term future actions with a better understanding of potentially unfolding scenarios and their impacts.