A newly published study, spearheaded by a multidisciplinary team from the Earth Sciences Department at the Barcelona Supercomputing Center (BSC-CNS), sheds crucial light on the atmospheric and oceanic factors that converged to create such an unprecedented episode of rainfall. The research emphasizes the pivotal influence of elevated sea surface temperatures (SSTs) in both the Mediterranean Sea and the North Atlantic Ocean during that period. While prior analyses had primarily attributed the severity of the event to local Mediterranean warming, the novel aspect of this study is its identification of the exceptional warmth in the North Atlantic as a significant contributor, an aspect that had previously gone unexplored in this context. The interplay of these oceanic temperature anomalies boosted moisture availability and created atmospheric conditions conducive to intense precipitation over Valencia.

The BSC team harnessed the computational power of MareNostrum 5, one of the world’s most advanced supercomputers, to simulate the atmospheric dynamics at a high spatial and temporal resolution. Utilizing sophisticated climate models, they generated multiple scenarios contrasting the actual SSTs observed during the event with climatological averages expected for that season. This methodology allowed the researchers to isolate the specific influence of anomalous sea temperatures on the rainfall extremity. Their simulations revealed that the recorded rainfall could have been up to 40% less intense without the contributory effect of the unusually warm waters. Notably, the North Atlantic warming alone accounted for an approximate 15% increase in precipitation intensity, indicating its marked role alongside Mediterranean influences.

Beyond its scientific novelty, this finding extends our understanding of climate extremes by placing them within a broader ocean-atmosphere systemic framework, rather than viewing them purely through local lenses. The valencian precipitation event exemplifies how regional climatic phenomena are often underpinned by interconnected processes spanning vast geographic scales. The study underscores the necessity of considering remote oceanic conditions that modulate atmospheric moisture and circulation patterns, thereby shaping localized weather extremes. Such comprehensive perspectives are essential in an era where climate change is altering ocean temperatures globally, potentially amplifying the frequency and severity of analogous events worldwide.

Ramiro Saurral, the lead author of the study and a prominent researcher at BSC’s Climate Variability and Change group, articulates this integrative approach succinctly: understanding the devastation wrought by an extreme event demands examining factors far beyond the immediate impacted zone. “The state of the ocean, even hundreds of kilometers away, can decisively magnify the intensity and impact of extreme weather. This study exemplifies the importance of multi-scale environmental diagnostics in climate science,” he explains. This paradigm shift challenges traditional localized hazard assessments and promotes a holistic assessment of climate risk.

From a societal vantage point, the implications of this research are profound. Improved comprehension of the ocean-atmosphere nexus that fuels extreme weather enhances predictive capabilities, enabling more accurate anticipation and management of such catastrophes. Enhanced forecasting models can guide emergency responses, infrastructure resilience planning, and adaptive land-use policies, thereby reducing human and economic losses. As the global climate continues to evolve, the capacity to model and predict these multi-scale interactions will become indispensable for safeguarding vulnerable populations and essential services.

Efforts such as the Climate Change Adaptation Digital Twin (Climate DT), part of the European Destination Earth initiative, illustrate the forward trajectory inspired by these findings. The BSC is deeply engaged in developing this ambitious system, which seeks to deliver precise global climate simulations at unprecedented spatial and temporal granularity. By integrating planetary-scale data and enabling scenario-driven analyses of extreme events like the Valencia flood, Climate DT aims to become an essential tool for policymakers and scientists alike. Such digital twin frameworks promise to revolutionize real-time climate risk assessments and strategic adaptation planning in a warming world.

Francisco Doblas-Reyes, an ICREA professor and BSC’s Earth Sciences Department director, emphasizes why global, high-resolution climate modeling is critical. “Climate change does not manifest as isolated local phenomena; instead, it is the cumulative effect of interconnected processes occurring across the planet. Tools like the Destination Earth’s Climate DT allow us to dissect how large-scale oceanic and atmospheric dynamics influence regional climatic events, elevating our understanding and response capabilities,” he states. This perspective advocates for investment in computational infrastructure and interdisciplinary collaboration as foundations of modern climate science.

The March 2026 publication of this study in the journal Weather and Climate Extremes represents a milestone in climate research, highlighting the nuanced roles played by multiple ocean basins in a single, devastating weather event. Through advanced computational simulation and modeling, it bridges gaps between atmospheric sciences, oceanography, and climate dynamics while producing actionable insights for society. The authors collectively call attention to the imperative of enhancing our observational networks and simulation tools to capture the complexity of Earth’s climate system, particularly as anthropogenic warming accelerates extreme event occurrence and intensity.

Diego Campos, co-author and fellow researcher at BSC, underscores the human dimension intertwined with these scientific discoveries: “Extreme weather events like the Valencia flood are not merely meteorological curiosities; they translate into very real impacts on human lives, community safety, and critical infrastructure. Recognizing the broader oceanic influences empowers us to better anticipate and mitigate these profound risks.” The study thus serves as a clarion call for bridging scientific research with social preparedness and policy development.

Looking ahead, the findings invite further exploration into how oceanic anomalies in other regional contexts might similarly exacerbate or attenuate extreme weather phenomena. Given the accelerating pace of sea surface warming across multiple ocean basins, understanding these ocean-atmosphere couplings assumes ever-greater urgency. Integrating multidisciplinary approaches that combine high-performance computing, satellite data assimilation, and regional climate modeling will be key to unraveling the complex feedbacks that govern extreme precipitation events and their socioeconomic repercussions.

In conclusion, the 2024 Valencia precipitation event serves as a vivid illustration of the interconnectedness of Earth’s climate system and the need to transcend isolated regional analyses. By revealing the synergistic roles of Mediterranean and North Atlantic sea surface temperatures, the BSC-led study marks a significant advance in our capacity to decode and forecast extreme weather episodes. This progress not only deepens fundamental scientific knowledge but also equips societies with the tools necessary to confront the mounting challenges posed by climate change-induced extremes in a more informed and resilient manner.

Subject of Research: The influence of elevated Mediterranean and North Atlantic sea surface temperatures on extreme precipitation events.

Article Title: The key role of Mediterranean and North Atlantic sea surface temperatures on the 2024 record-breaking Valencia precipitation event

News Publication Date: 27-Feb-2026

Web References:

• Study: https://www.sciencedirect.com/science/article/pii/S2212094726000289
• DOI: http://dx.doi.org/10.1016/j.wace.2026.100877
• Climate Change Adaptation Digital Twin: https://destine.ecmwf.int/climate-change-adaptation-digital-twin-climate-dt/
• Destination Earth Initiative: https://destination-earth.eu/

References:
Saurral, R. I., Campos, D. A., Grayson, K., Lapin, V., Trascasa-Castro, P., Tourigny, E., Donat, M. G., Materia, S., Ferrer, E., Doblas-Reyes, F. J. (2026). The key role of Mediterranean and North Atlantic sea surface temperatures on the 2024 record-breaking Valencia precipitation event. Weather and Climate Extremes, 52, 100877. https://doi.org/10.1016/j.wace.2026.100877

Keywords: Climate change, sea surface temperatures, Mediterranean Sea, North Atlantic Ocean, extreme precipitation, flooding, high-resolution climate modeling, ocean-atmosphere interaction, climate adaptation, supercomputing simulations, regional climate extremes

In a groundbreaking study spearheaded by the Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS), researchers analyzed comprehensive molecular datasets derived from more than four thousand patients suffering from 45 distinct diseases. They employed a cutting-edge computational method that integrates gene expression profiles to unravel the biological foundations of these disease pairings. This study represents the largest multidisciplinary effort to date focusing on deciphering the molecular explanations behind clinically observed disease interactions. Remarkably, the findings reveal that nearly two-thirds, or 64%, of known epidemiological disease links can be attributed to similarities in gene expression patterns.

At the heart of this investigation was RNA sequencing technology, a powerful tool that enables scientists to read the active genetic instructions within each patient’s cells. Through this method, the team was able to map positive interactions where the presence of one condition increases the risk of another. For instance, conditions like asthma have been noted to precede Parkinson’s disease in certain populations, suggesting a molecular predisposition facilitating this cascade. Conversely, negative interactions were also uncovered, illustrating instances where having one disease appears to protect a patient from another. Notably, the inverse relationship between cancer and neurodegenerative disorders such as Huntington’s disease was molecularly characterized, providing new insights into these protective phenomena.

Beatriz Urda, the lead researcher at BSC, highlighted this revelation: “We have known for years that patients with Huntington’s disease have a surprisingly lower incidence of solid tumors, like lung or breast cancer, than the general population. Our study sheds light on this by demonstrating that the biological pathways active in Huntington’s disease often run counter to those promoting cancer development. This opens up promising avenues for investigating molecular mechanisms that could be leveraged therapeutically.” This molecular antagonism suggests a delicate balance in cellular regulation that might be exploited to design novel treatments or diagnostic tools.

A striking conclusion from the research is the central role of the immune system as a nexus for many of these disease interactions. Altered immune pathways were detected in an astonishing 95% of the diseases analyzed, indicating that immune dysregulation is a common thread weaving together diverse pathological states. This discovery accentuates the need to focus on the immune network when studying co-morbidities and supports a systemic rather than disease-centric perspective on medicine. By pinpointing shared immune modifications, new diagnostic markers and therapeutic targets can be identified to better manage complex patient profiles.

The study further delved into lesser-known or newly proposed disease pairings. For example, an intriguing molecular association between Down syndrome and lupus was identified, hinting at possible shared biological pathways. Such findings have significant clinical implications, as recognizing these links could enhance diagnostic accuracy and inspire the development of therapeutic strategies aimed at multiple interrelated conditions, potentially improving patient outcomes through a more holistic approach.

Innovation in this research was also achieved through patient stratification based on molecular profiles rather than solely clinical diagnosis. By grouping patients with similar gene expression footprints, the team uncovered disease associations that remain invisible when patients are viewed as uniform groups. This stratification uncovered that within breast cancer cohorts, some subgroups manifest molecular connections with neurological disorders like autism or bipolar disorder, while others show protective interactions against autoimmune diseases such as multiple sclerosis. This molecular classification elucidates why patients ostensibly diagnosed with the same disease may experience dramatically different clinical courses.

Urda emphasized, “Our ability to detect associations appearing only in select patient subpopulations provides a powerful framework for personalizing medicine. Understanding these intra-disease differences not only explains varied clinical trajectories but also points to potentially underdiagnosed disease links. By revealing the molecular scaffolding behind these relationships, we can better anticipate and manage patient-specific risks.” This granular approach marks a shift towards precision medicine, with treatments and prognoses tailored to molecularly defined patient groups.

The methodology’s sensitivity extends to rare diseases, a category often hampered by insufficient clinical data due to the low prevalence of cases. Despite these challenges, the computational approach employed demonstrated comparable effectiveness in detecting molecular interactions for rare disorders. According to Alfonso Valencia, ICREA professor and director of the Life Sciences Department at BSC, this capacity paves the way for demystifying understudied and minority diseases, which could lead to the discovery of unique molecular mechanisms and novel therapeutic avenues often overlooked in traditional research paradigms.

The implications of this research transcend academic insight by offering tangible benefits for clinical practice. Integrating genomic and clinical data under a systemic integrative framework enables clinicians to predict the trajectory of diseases more accurately and to tailor interventions proactively. This predictive capability is not only crucial for managing existing conditions but also for anticipating the emergence of secondary diseases, thus fostering a preventive, rather than reactive, model of healthcare. Such innovation is especially timely as healthcare moves towards more personalized and precise treatment regimens.

To empower both researchers and clinicians in exploring these complex disease networks, the BSC team has launched a publicly accessible web resource. This interactive platform enables detailed exploration of both positive and negative disease interactions and their underlying molecular mechanisms. By facilitating this open-access model, the scientific community and healthcare professionals can leverage these insights to accelerate research, validate findings, and inform patient care strategies across diverse medical fields.

This milestone study eloquently demonstrates that diseases are far from isolated anomalies; they are interconnected within a vast molecular ecosystem. Understanding diseases through this interconnected lens allows researchers to move beyond surface-level clinical observations towards unraveling the root molecular architectures shaping human health. The synergy of high-throughput sequencing, computational modeling, and patient stratification heralds a transformative era in biomedical sciences, where disease co-occurrence is not a perplexing coincidence but a decipherable molecular narrative.

As this research unfolds, it promises to catalyze novel approaches in diagnostics and therapeutics, simultaneously enhancing scientific knowledge and clinical acumen. The future of medicine lies in acknowledging the interconnectedness of human diseases and harnessing this network to design more effective, personalized interventions. With robust computational tools and comprehensive molecular datasets, the path toward this vision is more attainable than ever before.

Subject of Research: People
Article Title: Patient stratification reveals the molecular basis of disease co-occurrences
News Publication Date: 29-Aug-2025
References: B. Urda-García, J. Sánchez-Valle, R. Lepore, & A. Valencia, Patient stratification reveals the molecular basis of disease co-occurrences, Proc. Natl. Acad. Sci. U.S.A. 122 (35) e2421060122, https://doi.org/10.1073/pnas.2421060122
Keywords: Diseases and disorders, Immune system, RNA sequencing, Computer modeling, Personalized medicine