Investigating the impact of sea surface temperature on the development of the Mediterranean tropical-like cyclone “Ianos” in 2020

Varlas, George; Pytharoulis, I.; Steeneveld, G.J.; Katsafados, Petros; Παπαδόπουλος, Αναστάσιος

doi:10.1016/j.atmosres.2023.106827

Cited by 7 publications

(4 citation statements)

References 70 publications

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“…The Advanced Weather and Research Forecasting (WRF-ARW) v4.2 model [50] was used to simulate the meteorological conditions resulting in the heavy precipitation event that caused the flash flood in Kineta. The WRF-ARW model is one the most used limitedarea numerical weather prediction models, and is capable of simulating adverse weather conditions such as cyclones and severe storms [51]. A significant advantage of the WRF-ARW model is its physics-based representation of complex processes during storms (e.g., convection, cloud microphysics, turbulence), which thus facilitates a detailed and accurate forecasting of the amount and spatiotemporal distribution of heavy rainfall.…”

Section: Simulating the Storm That Caused The Floodmentioning

confidence: 99%

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Alamanos,

Papaioannou,

Varlas

et al. 2023

Land

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Wildfires are an escalating global threat, jeopardizing ecosystems and human activities. Among the repercussions in the ecosystem services of burnt areas, there are altered hydrological processes, which increase the risks of flash floods. There is limited research addressing this issue in a comprehensive way, considering pre- and post-fire conditions to accurately represent flood events. To address this gap, we present a novel approach combining multiple methods and tools for an accurate representation of post-fire floods. The 2019 post-fire flood in Kineta, Central Greece is used as a study example to present our framework. We simulated the meteorological conditions that caused this flood using the atmospheric model WRF-ARW. The burn extent and severity and the flood extent were assessed through remote sensing techniques. The 2D HEC-RAS hydraulic–hydrodynamic model was then applied to represent the flood event, using the rain-on-grid technique. The findings underscore the influence of wildfires on flooding dynamics, highlighting the need for proactive measures to address the increasing risks. The integrated multidisciplinary approach used offers an improved understanding on post-fire flood responses, and also establishes a robust framework, transferable to other similar cases, contributing thus to enhanced flood protection actions in the face of escalating fire-related disasters.

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Section: Simulating the Storm That Caused The Floodmentioning

confidence: 99%

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Alamanos,

Papaioannou,

Varlas

et al. 2023

Land

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“…The consequences were severe, and entire ecosystems and communities were threatened-drought, saltwater intrusion, hailstorms, and flooding severely impacted agriculture. For instance, in less than one year, two extreme phenomena occurred in Northeast Italy: the most severe drought of the last 200 years 1 and one of the most devastating floods (two events in 15 days in early May 2023, with more than 200 mm per event, and total 9 billion damages). Special attention, however, must be paid to the sea surface temperature (SST).…”

Section: Drought-flood Abrupt Alternation In the Mediterranean Basinmentioning

confidence: 99%

Storm Daniel revealed the fragility of the Mediterranean region

Qiu,

Zhao,

Brocca

et al. 2023

TIG

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Over the past two years, the world has witnessed a surge in extreme events, including record-breaking droughts, heatwaves, forest fires, floods, ocean warming, and sea ice melting. These events have affected large regions, with devastating droughts striking Europe, East Africa, Asia, and South America, historic floods hitting Pakistan, and unprecedented heatwaves scorching western North America. Major wildfires have ravaged areas in Algeria, southern Turkey, Greece, and Spain, while the Arctic and Antarctic continue to experience alarming sea ice melt.

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“…The model is run on a horizontal grid width of 0.03 • (~3.5 km, in line with [12], who simulated the same medicane) over a domain covering the wider Mediterranean area (Figure 1a), for a total of 1367 × 834 grid points, 60 vertical levels up to 23 km above sea level, and an integration time step of 30 s. This setup is considered as an excellent compromise regarding the size of a very complex domain. It is able to sufficiently capture all the synoptic features as well as the local-scale weather phenomena of the target area (Figure 1b) of our study that is related to the part of Greece that was most affected by the medicane.…”

Section: Cosmo Model Investigationmentioning

confidence: 99%

“…Due to its exceptional scientific challenge as well as its most serious social impact, this is a notably well-studied case from many perspectives. These aspects have been thoroughly addressed in several current works regarding its meteorological and remote-sensing characteristics as well considerations regarding the socioeconomic hazards that resulted [12][13][14][15][16][17] and references therein. This study's goal is to investigate the existence of any qualitative and quantitative differences and improvements, especially regarding precipitation, resulting from the assimilation of Aeolus data, using the last version of the state-of-the-art non-hydrostatic regional COSMO model [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Aeolus Data Validation for an Extreme Precipitation Event in Greece with the COSMO NWP Model

Avgoustoglou,

Matsangouras,

Pytharoulis

et al. 2023

Water

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The study of atmospheric models and climate systems has been hampered by the restricted availability of wind profile measurements. By recording wind profiles in near real time and giving useful information for Numerical Weather Prediction (NWP) models, the Doppler wind lidar technology used in the European Space Agency’s Aeolus mission is expected to unravel this problem. By analyzing the precipitation from IANOS medicane, which occurred over the Thessaly plain in September 2020, a case study utilizing the COSMO NWP model illustrates the potential usefulness of Aeolus data in strengthening NWP models. Run in hindcast mode and forced by analyses with and without Aeolus, the model assimilated data that were produced at the European Centre for Medium-Range Forecasts (ECMWF). Evaluation against observations from Greek synoptic stations showed that the model precipitation using the Aeolus-assimilated data preponderated over the model results without their inclusion. This work aims to demonstrate the additional value of the Aeolus project towards the expansion of our knowledge of Earth’s atmosphere, particularly the improvement of our capacity to estimate severe weather events via the use of Aeolus with NWP models.

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Investigating the impact of sea surface temperature on the development of the Mediterranean tropical-like cyclone “Ianos” in 2020

Cited by 7 publications

References 70 publications

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Storm Daniel revealed the fragility of the Mediterranean region

Aeolus Data Validation for an Extreme Precipitation Event in Greece with the COSMO NWP Model

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