<?xml version="1.0" encoding="utf-8"?>
    <rss version="2.0">
      <channel xmlns:content="http://purl.org/rss/1.0/modules/content/">
        <title>Frontiers in Climate | Climate Detection and Attribution section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/climate/sections/climate-detection-and-attribution</link>
        <description>RSS Feed for Climate Detection and Attribution section in the Frontiers in Climate journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-05-14T21:20:56.39+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1750461</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1750461</link>
        <title><![CDATA[Thermodynamically primed Atmospheric River Rapid as the driver of the December 2023 Thoothukudi extreme rainfall]]></title>
        <pubdate>2026-01-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>S. Sivachitralakshmi</author><author>P. Chitra</author>
        <description><![CDATA[The December 2023 extreme rainfall over Thoothukudi, India (946 mm in 24 h), represents a pronounced precipitation efficiency anomaly, as such intensity occurred in the absence of a synoptic-scale cyclonic storm and exceeded rates explainable by resolved large-scale ascent. This study introduces a newly proposed Atmospheric River Rapid Index (ARRI) to diagnostically examine whether this event is consistent with the influence of a thermodynamically primed tropical Atmospheric River Rapid (AR Rapid). Using GPM IMERG precipitation estimates and ERA5 reanalysis, we apply a diagnostic Eulerian moisture budget decomposition to assess the processes contributing to the event. The analysis indicates a dual influence: the large-scale environment was thermodynamically primed by background moisture anomalies (dynamic term ≈ 33.0%), while the spatial concentration and intensity of rainfall are primarily associated with anomalous wind steering and convergence of integrated vapor transport (thermodynamic circulation term ≈ 102.0%) within a vector framework. The ARRI identifies a narrow coastal region characterized by peak IVT, strong IVT convergence, deep moisture, and reduced low-level wind speeds, consistent with frictional deceleration of a low-level jet at landfall and consistent with conditions favorable for AR Rapid ascent. Complementary dynamical diagnostics further suggest a limited contribution from organized synoptic-scale cyclonic mechanisms. These results provide diagnostic evidence consistent with a thermodynamically primed AR Rapid suggesting a key contributing process to this extreme, non-cyclonic tropical rainfall event. The findings highlight limitations of cyclone-centric forecasting approaches and underscore the potential value of monitoring IVT convergence and thermodynamic pre-conditioning for anticipating high-impact tropical flood events.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1688860</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1688860</link>
        <title><![CDATA[Attribution of contrasting warm-season convective boundary layer height trends over the Tianshan-Taklamakan-Oasis region to thermodynamic and moisture drivers]]></title>
        <pubdate>2025-12-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Han Shi</author><author>Yanfei Long</author><author>Chao Luo</author><author>Sijiang Wu</author><author>Zhengbo Wang</author><author>Wenbei Guo</author><author>Jianxun Wu</author>
        <description><![CDATA[The convective boundary layer height (CBLH) plays a crucial role in regulating atmospheric mixing and land-atmosphere interactions, yet its spatiotemporal variability in the arid, topographically complex Xinjiang region of northwestern China remains insufficiently understood. Using ERA5-Land reanalysis (1985–2024 for CBLH; 2000–2024 for driving factors) and GLASS LAI data for April–September, CBLH characteristics and trends were investigated through the Mann–Kendall test, Theil–Sen slope estimation, multiple linear regression (MLR), and principal component analysis (PCA). Results show that the Tarim and Junggar Basins exhibit higher CBLH than the surrounding mountains, with seasonal peaks in June–July. From 2000 to 2024, a significant CBLH increase occurred in the Tianshan Mountains during July, while a marked decline was observed over the Taklamakan Desert in August. MLR results indicate that August CBLH over the Taklamakan is enhanced by strong surface heating but constrained by the cooling and moistening effects of nearby oases. In contrast, July CBLH over the Tianshan is amplified by local heating and winds, yet suppressed by both local and remote moisture inputs and sensible heat flux anomalies. PCA further supports these findings, linking the Tianshan's July increases to reduced net longwave cooling, stronger sensible heating, and lower atmospheric pressure, and the Taklamakan's August decreases to enhanced cooling, weakened heating, and increased humidity. These results highlight the region's divergent CBLH responses to local forcing and cross-regional interactions, emphasizing that both warming-induced increases and moisture-driven declines must be considered in future regional climate assessments.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2024.1507143</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2024.1507143</link>
        <title><![CDATA[Reconstruction of climatic events from the 16th century in Transylvania: interdisciplinary analysis based on historical sources]]></title>
        <pubdate>2025-02-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ovidiu Răzvan Gaceu</author><author>Tudor Caciora</author><author>Ștefan Baias</author><author>Cezar Morar</author><author>Mihai Dudaș</author><author>Marius Stupariu</author><author>Maria Maxim</author>
        <description><![CDATA[IntroductionUnderstanding past climate variability is essential for interpreting current and future climate trends, particularly during defining climate periods for the past two millennia, such as the Little Ice Age, which had significant socio-economic impacts.MethodsThe present study uses an interdisciplinary approach, analyzing written documents such as chronicles, diaries, and official records to extract data related to climate events in the 16th century in Transylvania (on the current territory of Romania). The obtained results were processed using statistical techniques to reconstruct the evolution of the weather during the respective period.Results and discussionThe study identifies multiple pieces of evidence associated with extreme weather events, including 40 unusually warm summers and several years of excess precipitation or drought. In particular, the period 1,527–1544 was marked by intense heat and droughts, severely affecting agriculture and causing famine. In contrast, the second half of the century is defined by increased rainfall, with numerous reports of flooding and excessive rain, particularly in the 1590s. These extreme climatic events profoundly affected society, contributing to food shortages and increased mortality from starvation and diseases (especially the plague). At the same time, compared to the territory of Western Europe, in Transylvania, heat waves and droughts were more frequent in the first half of the 16th century, while in Western Europe, these climatic phenomena were more sporadic and less intense. Finally, the manuscript emphasizes the significant role of the climate in shaping the historical and socio-economic landscape of Transylvania in the 16th century, offering perspectives on the complex interactions between the climate and the human component.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1495611</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1495611</link>
        <title><![CDATA[Early temperature records from a Norwegian coastal farm (1880–1930)]]></title>
        <pubdate>2025-01-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ann Rigmor Nerheim</author>
        <description><![CDATA[This paper presents new temperature data from a location on the northwest coast of Norway from the period 1880–1930. The data are based on diary notes of weekly temperature ranges. Maximum and minimum temperatures have been investigated, as well as weekly, monthly, and yearly average temperatures. The data indicate a decreasing yearly average temperature trend during the period from 1880 to 1930. Due to the origin of the data, the accuracy of the thermometer and readings are unknown.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2024.1455023</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2024.1455023</link>
        <title><![CDATA[Frontiers in attributing climate extremes and associated impacts]]></title>
        <pubdate>2024-10-14T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Sarah E. Perkins-Kirkpatrick</author><author>Lisa V. Alexander</author><author>Andrew D. King</author><author>Sarah F. Kew</author><author>Sjoukje Y. Philip</author><author>Clair Barnes</author><author>Douglas Maraun</author><author>Rupert F. Stuart-Smith</author><author>Aglaé Jézéquel</author><author>Emanuele Bevacqua</author><author>Samantha Burgess</author><author>Erich Fischer</author><author>Gabriele C. Hegerl</author><author>Joyce Kimutai</author><author>Gerbrand Koren</author><author>Kamoru Abiodun Lawal</author><author>Seung-Ki Min</author><author>Mark New</author><author>Romaric C. Odoulami</author><author>Christina M. Patricola-DiRosario</author><author>Izidine Pinto</author><author>Aurélien Ribes</author><author>Tiffany A. Shaw</author><author>Wim Thiery</author><author>Blair Trewin</author><author>Robert Vautard</author><author>Michael Wehner</author><author>Jakob Zscheischler</author>
        <description><![CDATA[The field of extreme event attribution (EEA) has rapidly developed over the last two decades. Various methods have been developed and implemented, physical modelling capabilities have generally improved, the field of impact attribution has emerged, and assessments serve as a popular communication tool for conveying how climate change is influencing weather and climate events in the lived experience. However, a number of non-trivial challenges still remain that must be addressed by the community to secure further advancement of the field whilst ensuring scientific rigour and the appropriate use of attribution findings by stakeholders and associated applications. As part of a concept series commissioned by the World Climate Research Programme, this article discusses contemporary developments and challenges over six key domains relevant to EEA, and provides recommendations of where focus in the EEA field should be concentrated over the coming decade. These six domains are: (1) observations in the context of EEA; (2) extreme event definitions; (3) statistical methods; (4) physical modelling methods; (5) impact attribution; and (6) communication. Broadly, recommendations call for increased EEA assessments and capacity building, particularly for more vulnerable regions; contemporary guidelines for assessing the suitability of physical climate models; establishing best-practice methodologies for EEA on compound and record-shattering extremes; co-ordinated interdisciplinary engagement to develop scaffolding for impact attribution assessments and their suitability for use in broader applications; and increased and ongoing investment in EEA communication. To address these recommendations requires significant developments in multiple fields that either underpin (e.g., observations and monitoring; climate modelling) or are closely related to (e.g., compound and record-shattering events; climate impacts) EEA, as well as working consistently with experts outside of attribution and climate science more generally. However, if approached with investment, dedication, and coordination, tackling these challenges over the next decade will ensure robust EEA analysis, with tangible benefits to the broader global community.]]></description>
      </item>
      </channel>
    </rss>