UP3.5 | Advancing understanding of Mediterranean climate
Advancing understanding of Mediterranean climate
Conveners: Matias Olmo, Vicent Altava-Ortiz, Annalisa Cherchi
Orals Wed2
| Wed, 10 Sep, 11:00–13:00 (CEST)
 
Room E1+E2
Posters P-Thu
| Attendance Thu, 11 Sep, 16:00–17:15 (CEST) | Display Wed, 10 Sep, 08:00–Fri, 12 Sep, 13:00
 
Grand Hall, P98–100
Wed, 11:00
Thu, 16:00
Observed and future changes, variability, large-scale circulation and climate attribution.

The warming trends detected in the observational record and future projections, accompanied by an increase in hydrological droughts, have designated the Mediterranean basin as one of the most responsive regions to global climate change. As the warming is expected to continue and intensify in the next decades, local communities and decision-makers call for improved climate information that would allow adaptation to changing climate conditions. In recent years, record-breaking temperatures have been registered –with annual-mean anomalies reaching up to 2.5 °C in mountainous regions during 2022 and 2023– together with large rainfall deficits impacting on different socio-economic activities and causing environmental damage over the western Mediterranean basin. However, extreme precipitation events have recently evidenced the exposure and vulnerability of the region.

In this context, a better understanding of the physical mechanisms driving long-term changes in the Mediterranean region, along with a comprehensive assessment of climate simulations, are crucial to increase our confidence in future projections and better estimate the climate risk.

This session aims to present the latest advances in studying Mediterranean climate change, including the use of artificial intelligence algorithms and innovative approaches for attributing climatic trends and events and for process-based model evaluation. Studies of past long-term changes and future projections focused on validating simulated climate variability across time scales and reducing uncertainty are particularly encouraged. Analyses of specific climate hazards and the associated atmospheric circulation (including extremes, teleconnection patterns, and regional-to-local responses) are also welcome.

Orals: Wed, 10 Sep, 11:00–13:00 | Room E1+E2

Chairpersons: Matias Olmo, Vicent Altava-Ortiz, Annalisa Cherchi
11:00–11:15
11:15–11:45
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EMS2025-366
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solicited
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Onsite presentation
Diego Campos, Katherine Grayson, Ramiro Saurral, Matías Olmo, and Francisco Doblas-Reyes

In late October 2024, southeastern Spain experienced severe weather, including intense rainfall, hail, and thunderstorms. On October 29th, several AEMET (Spanish Meteorological Agency) stations in the province of Valencia recorded over 300 mm of rainfall in 24 hours. This extreme event triggered flash floods and river overflows, resulting in over 200 fatalities and extensive damage to public and private property. The event was associated with a deep and persistent cut-off low (COL)—known in Spanish as DANA (Isolated Depression at High Levels)—which developed between Spain and Morocco due to the amplification of a mid-tropospheric trough. The quasi-stationary nature of this system promoted high convective instability, leading to intense, localized storms anchored over the Valencia region.

As with other extreme rainfall events worldwide, atmospheric water vapor's horizontal transport and content played a key role in creating the unstable conditions. In this case, satellite and reanalysis data estimate approximately 30 mm of precipitable water over Valencia—equivalent to a 3–4 standard deviation anomaly above climatological values. This anomalously high moisture had two primary sources: low-level easterly flow from the Mediterranean in the days leading up to the event, and an atmospheric-river-like moisture transport from the tropics across North Africa, channeled by the COL’s circulation.

In warmer conditions—whether due to transient sea surface temperature anomalies or long-term anthropogenic trends—atmospheric moisture content increases, raising the likelihood of extreme, short-duration precipitation. This study investigates the influence of anthropogenic warming on the synoptic conditions surrounding the October 2024 event. To this purpose, we analyze high-resolution (∼9 km) physical climate storyline simulations developed under the European Union’s Destination Earth initiative. These simulations were run with the global, coupled IFS-FESOM model nudged with ERA5, and include three climate scenarios: a counterfactual climate (~1950), the actual climate (~2020), and a future climate (~2040).

Results show that anthropogenic warming intensified both the instability and moisture transport associated with the COL. Specifically, about 20% of the Mediterranean moisture influx can be attributed to human-induced warming, and moisture transport from North Africa increased by ~25% in the actual climate compared to the counterfactual scenario. Overall, the Valencia region experienced 15–20% wetter conditions due to this enhanced moisture environment, resulting in approximately 12% more precipitation over Valencia and up to 20% in the surrounding areas during the event. Ongoing analyses aim to confirm these findings and explore the synoptic conditions for the event under future warming scenarios, contributing valuable insights for climate adaptation.

How to cite: Campos, D., Grayson, K., Saurral, R., Olmo, M., and Doblas-Reyes, F.: Attribution of the synoptic-scale meteorological conditions associated with the October 2024 DANA event over Valencia, Spain, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-366, https://doi.org/10.5194/ems2025-366, 2025.

Show EMS2025-366 recording (22min) recording
11:45–12:00
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EMS2025-454
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Onsite presentation
Dor Sandler, Hadas Saaroni, Baruch Ziv, and Nili Harnik

The North Atlantic large-scale circulation is known to affect Mediterranean cyclonic activity, representing a unique case of interacting storm tracks. Variability in the North Atlantic, such as extratropical storm activity, jet stream position and weather regimes, modulates the flux of potential vorticity downstream. This plays a crucial role in the life cycle of Mediterranean cyclones by influencing baroclinic growth and triggering instability over the basin.

In this work, we use the framework of Finite Amplitude Local Wave Activity (FALWA; Huang & Nakamura, 2016) to deconstruct and quantify the role of the North Atlantic circulation in driving Mediterranean cyclonic activity. FALWA is a diagnostic that keeps track of the wave activity ”stored” within circulation undulations, relative to a zonalized flow. It obeys an exact conservation relation; thus, its local rate of change is either due to a flux convergence, or to non conservative source-sink terms. This allows for a closed mechanistic budget analysis of the response, differentiating between horizontal advection by the mean flow, barotropic and baroclinic processes, and diabatic forcing. To the best of our knowledge, the method has not yet been applied to the Mediterranean.

Using reanalysis, we examine how extrabasin sources of wave activity influence the paths, intensity and associated rainfall patterns of storms in the Mediterranean. We find that different combinations of advective and baroclinic sources result in distinct cyclone trajectories, impacting precipitation at both 10-day and monthly scales. We are currently producing preliminary results from the CMIP6 ensmeble and exploring the relevance of this mechanism to the projected drying trend in the Mediterranean.

How to cite: Sandler, D., Saaroni, H., Ziv, B., and Harnik, N.: A New Quantitative Framework for Mediterranean Cyclogenesis: Local Wave Activity and Cross-Basin Dynamics, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-454, https://doi.org/10.5194/ems2025-454, 2025.

Show EMS2025-454 recording (11min) recording
12:00–12:15
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EMS2025-502
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Onsite presentation
Katherine Grayson, Diego Campos, Gerrit Versteeg, Matthias Kelbling, Aparna Chandrasekar, Stephan Thober, Sebastian Beyer, and Francisco Doblas-Reyes

We present a physical storylines study of storm Gloria, a devastating extra-tropical cyclone in January 2020 over the western Mediterranean that caused record-breaking precipitation, fatalities, and millions in damages. The study is performed using the global, coupled, km-scale IFS-FESOM model, developed under the European Union’s Destination Earth initiative. We run the model using spectral nudging, where the upper atmosphere is nudged hourly with ERA5 reanalysis to recreate the observed weather patterns in a Counterfactual (cooler, ~1950’s), Actual (~2020) and Future (warmer, ~2040’s) background climate. The ~9 km, hourly resolution allows us to analyze localized extreme precipitation at scales useful for adaptation planning. 

The work will be presented in two parts. In the first section we will present a novel probabilistic attribution study using the climatology of the storyline simulations, quantifying the changes in probability of key atmospheric variables observed during Gloria in a warmer climate. This is made possible due to the continuous 7-year runs of the global storyline simulations, allowing us to build DJF climatologies for the three different climate scenarios. We find that all atmospheric variables show statistically significant increases, with Gloria-level precipitable water over twice as likely to occur in the Future climate scenario. 

In the second part we present an in-depth comparison of the event under different climates, both in terms of atmospheric drivers and hydrologic impacts analyzed via a runoff model. We find that while precipitable water and integrated vapor transport follow Clausius-Clapeyron scaling, extreme precipitation shifts locally, increasing up to 45% in some areas but not always translating to higher runoff due to drier soils. Though focused on storm Gloria, we emphasize the global nature of these simulations and their contribution to equitable access to climate adaptation information in the analysis of extreme events. Indeed, we refer to the abstract by Campos D, “Attribution of the synoptic-scale meteorological conditions associated with the October 2024 DANA event over Valencia, Spain” who uses the same simulations to understand the impacts of warming of the recent DANA event over Valencia.

How to cite: Grayson, K., Campos, D., Versteeg, G., Kelbling, M., Chandrasekar, A., Thober, S., Beyer, S., and Doblas-Reyes, F.: The influence of anthropogenic warming on Storm Gloria: a km-scale storyline approach, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-502, https://doi.org/10.5194/ems2025-502, 2025.

Show EMS2025-502 recording (12min) recording
12:15–12:30
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EMS2025-675
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Onsite presentation
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Alessandro Minigher, Carmela Cioffi, Cristina Moro, Dario Giaiotti, Elena Gianesini, Marco Zampar, and Sara Bacer

Simulating the response of local climate to the Earth global warming is a challenge. In coastal areas, it is mandatory to integrate the response of the sea to the progressive increase of the atmospheric temperature, the changes in the inland precipitation regimes and the surface wind field pattern. In this frame, the Mediterranean area is a benchmark, where atmosphere and sea interact with a high degree of coupling, besides to be a hot spot rising deep interest for its evolution.

Future climate scenarios for both atmosphere and sea over Mediterranean are already available form a rich set of regional climate simulation. Anyway, stakeholders require information on future climate having a spatial resolution higher than that characterizing the regional scale. Furthermore, many local process of interaction between atmosphere, hydrosphere and sea, especially along the coasts and in shallow waters, have a poor representation in the available model outputs. Downscaling is applied to regional climate and basin scale simulations with the aim to fill in the gap.

In this work, we present the application of a methodology to generate ensembles of high resolution simulations at the local scale, for the widely and commonly defined Global Warming Levels (GWLs: 1.5 °C, 2.0 °C, 3.0 °C, 4.0 °C). Using boundary conditions extracted from sets of EURO-CORDEX, MED-CORDEX and CMIP6 model outputs, ensembles of hydrological projections combined with hydrodynamic simulation of the Adriatic Sea shallow waters have been conducted to explore the air-rivers-lagoon-sea response to the GWLs across the XXI century. Hydrological simulations have been generated by means of the WRF-Hydro model, while the lagoon-sea ones through the SHYFEM numerical model.

From sensitive tests on the response of small spatial domains to the forcing and boundary conditions, we conclude that the effort to run very high resolution models covering continuously secular time range, is not an efficient approach. Instead, the quick response of the hydro-coastal system to the boundary and the forcing allows to generate a large set of local area sensitivity cases to the GWLs, with computational resources and times that are worth to be considered useful besides efficient.

This approach explores decadal time window ensembles of future scenarios, each belonging to the same GWL, with the spatial resolution requested by a wide spectrum of stakeholders on future river flows, temperature, salinity and level along the coasts, in the lagoons and in the open sea facing the coastal areas. In addition to the summary of the methodology, we present the results of its application to the northern Adriatic Sea, including the northeastern most lagoon.

This work has been conducted with the contribution from the EU co-financing in the frame of the Interreg Euro-MED Programme, thanks to the MedSeaRise Project, and the results achieved through the Interreg IT-HR AdriaClimPlus project.

How to cite: Minigher, A., Cioffi, C., Moro, C., Giaiotti, D., Gianesini, E., Zampar, M., and Bacer, S.: Towards very high resolution downscaling of climate scenarios for Mediterranean coastal areas, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-675, https://doi.org/10.5194/ems2025-675, 2025.

Show EMS2025-675 recording (15min) recording
12:30–12:45
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EMS2025-524
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Online presentation
Cristina Andrade and Lourdes Bugalho

The Hot-Dry-Windy Index (HDWI) is a fire weather index used to predict the likelihood of intense wildfire activity. This index was developed to consider the weather conditions that are most likely to interact with the surface throughout the burning period on a given day since the depth of the atmosphere that would affect a fire might vary significantly from one fire to another. Studies have shown that HDWI can identify days when physical processes on a synoptic and mesoscale contribute to especially dangerous fire behavior. It particularly analyses the combined effects of three important elements that affect the intensity and spread of wildfires: high temperatures, low relative humidity, and strong winds. Even if other conventional indices (such as the Continuous Haines index (CHI) or the Fire Weather Index (FWI)) fail to indicate excessive dangers, like aforementioned, this indicator might be very helpful in identifying days when fire conditions are exceptionally hazardous. HDWI is more susceptible to short-term, extreme weather events, such as dry thunderstorms or heatwaves with high winds, than standard indices, therefore, the HDWI for the 2017 major wildfires in Portugal was computed, and a brief climatology was analysed. The study comprises the major wildfires of June and October 2017, and the results are focused on the annual, daily, and hourly (12h, 15h, and 18h) HDWI values and related percentiles. Since HDWI is built on the understanding that fire behaviour is not just a function of fuel conditions, but is often driven by immediate weather extremes, this case study underlines the need to examine more than one index due to the increasing severity and complexity of conditions prone to the occurrence of extreme wildfires.

Acknowledgments: This work is supported by National Funds by FCT –Portuguese Foundation for Science and Technology, under the projects UID/04033 and LA/P/0126/2020 (https://doi.org/10.54499/LA/P/0126/2020). This research was supported by the European Union under the Breath IN Erasmus+ project 2023-1-PT01-KA220_HED-00153118.

How to cite: Andrade, C. and Bugalho, L.: A climatology of the Hot-Dry-Windy Index for the major wildfires of 2017 in Portugal, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-524, https://doi.org/10.5194/ems2025-524, 2025.

12:45–13:00
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EMS2025-260
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Onsite presentation
Salvatore Pascale and Francesco Ragone

The 2022 drought was part of a multi-year drought that began in 2021 and continued until the middle of 2023. Multi-year droughts pose a significant threat to the security of water resources, putting stress on the resilience of hydrological, ecological and socioeconomic systems. Motivated by the recent multi-year drought that affected Southwestern Europe and Italy from 2021 to 2023, here we utilise two indices—the Standardised Precipitation Evapotranspiration Index (SPEI) and the Standardised Precipitation Index (SPI)—to quantify the temporal evolution of the percentage of Italian territory experiencing drought conditions in the period 1901–2023 and to identify Widespread Multi-Year Drought (WMYD) events, defined as multi-year droughts affecting at least 30% of Italy. Seven WMYD events are identified using two different precipitation datasets: 1921–1922, 1942–1944, 1945–1946, 2006–2008, 2011–2013, 2017–2018 and 2021–2023. Correlation analysis between the time series of Italian drought areas and atmospheric circulation indicates that the onset and spread of droughts in Italy are related to specific phases of the winter North Atlantic Oscillation (NAO), the Scandinavian Pattern (SCAND), East Atlantic/Western Russia (EAWR) pattern and the summer East Atlantic (EA) and East Atlantic/Western Russia (EAWR) patterns. Event-based analysis of these drought episodes reveals a variety of atmospheric patterns and combinations of the four teleconnection modes that contribute to persistently dry conditions in Italy during both winter and summer. This study offers new insights into the identification and understanding of the meteorological drivers of Italian WMYD events and serves as a first step toward a better understanding of the impacts of anthropogenic climate change on them.

How to cite: Pascale, S. and Ragone, F.: Widespread Multi-Year Droughts in Italy: Identification and Causes of Development, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-260, https://doi.org/10.5194/ems2025-260, 2025.

Show EMS2025-260 recording (15min) recording

Posters: Thu, 11 Sep, 16:00–17:15 | Grand Hall

Display time: Wed, 10 Sep, 08:00–Fri, 12 Sep, 13:00
Chairperson: Vicent Altava-Ortiz
P98
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EMS2025-240
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Online presentation
Matias Olmo, Sara Moreno-Montes, Paloma Trascasa-Castro, Carlos Delgado-Torres, Núria Pérez-Zanon, Verónica Torralba, and Albert Soret

The production of renewable energy is critical to replacing a fossil-fuel-based energy system and reaching carbon neutrality. This energy generation is highly dependent on climate conditions and variability, which increases the vulnerability of electricity supply. Climate projections have proven to be key for policy and decision making in a global warming scenario, as they allow for maximizing renewable energy production. 

Herein, the BOREAS project aims to improve energy production and demand forecasting, supporting energy transition governance and the development of climate adaptation measures at different levels. In this contribution, we present the results from wind capacity factor (CF) estimations over climatically homogeneous regions over Western Europe (WE). 

To this purpose, we employ 6-hourly surface winds from the Coupled Model Intercomparison Project phase 6 (CMIP6) and the ERA5 reanalysis to (i) obtain climatically homogeneous regions over WE based on the 1981-2010 historical reference period; (ii) estimate wind energy CF changes during the mid (2041-2070) and late 21st century (2071-2100) under the SSP585 scenario.

Wind regionalisations were generated using the k-means clustering method, with varying numbers of groups from 6 to 12. The obtained regions align with the climatological features of WE, indicating the influence of topography and the Atlantic Ocean and the Mediterranean Sea. For the CF estimation, surface winds were first bias-corrected to the ERA5 reference, and the CF were constructed for 5 different turbine cases. Preliminary results show the spread in future CF due the uncertainty in future wind projections -particularly for the late 21st century- reinforcing the need for improved understanding of long-term climate change and variability.

Overall, this study presents novel tailored climate information based on a large ensemble of climate simulations, allowing for uncertainty quantification and regional assessments.

How to cite: Olmo, M., Moreno-Montes, S., Trascasa-Castro, P., Delgado-Torres, C., Pérez-Zanon, N., Torralba, V., and Soret, A.: Wind energy future projections over Western Europe: results from the BOREAS project, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-240, https://doi.org/10.5194/ems2025-240, 2025.

P99
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EMS2025-70
Ophélie Meuriot, Jorge Soto Martin, and Martin Drews

Wildfires are one of the most devastating natural disasters with wide impacts across economic sectors and society in Europe. Modeling wildfire risk remains a complex challenge, particularly as predictions of fire risk often rely on weather-based operational indices, such as the Fire Weather Index (FWI) which exclude key factors such as human activities and other ignition sources. In addition, it is unclear how wildfire risk will evolve in the future under different climate scenarios.

The study shows how data driven models can be used to combine human, topographic, land cover and weather data to quantify wildfire risk in Southern Europe on a 10 x 10 km grid at a daily resolution. Four classification machine learning models are trained on a historical fire record from 2008 to 2023, obtained from the European Forest Fire Information System (EFFIS). The best performing model is a Random Forest (RF) model with an AUC of 0.95 and F1 score of 0.89.  

The RF model is first validated by comparing the model output run using weather variables from the ERA5-land reanalysis to the historical fire record from EFFIS. The results show that the RF model can successfully identify high-risk fire regions both seasonally and daily and provides a more accurate representation of fire risk compared to the FWI. The model is subsequently run using future climate data (2081 – 2100) from the ClimEx2 regional climate model under the Shared Socioeconomic Pathways (SSP) 1 and SSP3 scenarios, showcasing its potential to evaluate fire risk under evolving climate conditions.

How to cite: Meuriot, O., Soto Martin, J., and Drews, M.: A data-driven approach for wildfire risk modelling in Southern Europe, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-70, https://doi.org/10.5194/ems2025-70, 2025.

P100
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EMS2025-644
Hafeez Ahmed Talpur, Mohsin Tariq, and Piero Di Carlo

This study assesses climate change impacts on river runoff and drought characteristics in the Arno basin using the SWAT+ hydrological model coupled with climate projections from multiple Global Climate Models (GCMs). Hydrometeorological data from precipitation and temperature stations, and hydrometric measurements on the lower Arno River (1994-2014) are being utilized to calibrate and validate the SWAT+ model, with initial results showing good performance during both calibration and validation periods.

Future climate projections are derived from five CMIP6 GCMs under two Shared Socioeconomic Pathway scenarios (SSP2-4.5 and SSP5-8.5) for three future periods: near (2015-2040), mid (2041-2070), and far (2071-2100). Quantile Delta Mapping is employed for bias correction of GCM outputs. Preliminary multi-model ensemble analysis reveals warming trends across all GCMs and scenarios, with more pronounced temperature increases under the higher emission scenario. Precipitation projections indicate decreasing trends, more significant under the SSP5-8.5 scenario. Consequently, river runoff is projected to decrease over time, with the highest model agreement in the far future period.

Drought analysis is being conducted using Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI) at different time scales. Initial correlation analysis between SPI and SRI indicates relationships between meteorological and hydrological droughts across all time segments. Early findings suggest that long-term drought patterns show stronger precipitation-runoff relationships than short-term drought events, particularly in the mid and far future periods.

This research aims to provide insights for water resource managers and policymakers, highlighting the need for adaptive management strategies and sustainable water governance to mitigate the potential impacts of climate change on the Arno River basin. The study underscores the importance of implementing resilient water management practices to ensure water security in the face of projected hydroclimatic changes, and a case study that could be implemented to other river basins.

How to cite: Talpur, H. A., Tariq, M., and Di Carlo, P.: Climate Change Impact on River Runoff and Drought Characteristics in the Arno River Basin, Tuscany, Italy, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-644, https://doi.org/10.5194/ems2025-644, 2025.