earth_science papers | Gist.Science

Spatiotemporal Patterns and Trends of the Holiday Climate Index Along the Black Sea Coastal Zone of Türkiye (1950–2025)

This study presents the first comprehensive long-term assessment (1950–2025) of tourism climate suitability along Türkiye's Black Sea coast using a novel weighted Holiday Climate Index, revealing that while summer conditions remain stable, climate change is significantly extending favorable tourism windows into spring and autumn, with improvements being more pronounced in the western provinces than in the humid east.

Muhammed Emre PUR, Veli Yavuz, Yiğitalp KARA, Caner TEMİZ, Cem ÖZEN2026-07-23

📄 earth science

Heat-stress exposure at European football venues under climate change: the limits of timing-based adaptation

This study projects that heat-stress exposure at European professional football venues will intensify and spread by mid-century, revealing that while evening scheduling offers some protection, it is insufficient to counter climate-driven risks, thus necessitating integrated adaptation strategies beyond mere timing adjustments.

Dimitri Defrance, Tiffanie Lescure2026-07-23

📄 earth science

Disentangling Natural Mineralization from Nitrate Pollution in a Semi-Arid Alluvial Aquifer: A Log-Transformation-Based Multivariate and GIS Framework (Tébessa-Morsott Basin, Algeria)

This study employs a log-transformation-based multivariate and GIS framework on multi-temporal data from the Tébessa-Morsott Basin to successfully distinguish between natural geogenic mineralization driven by carbonate and evaporite dissolution and anthropogenic nitrate pollution caused by agricultural and wastewater inputs in a semi-arid alluvial aquifer.

Mehdi Bendekkoum, Karima Seghir, Ali Hadjela, Messaoud Abidi Saad, Vincent Valles2026-07-23

📄 earth science

From Land Loss to Livelihood Crisis: Understanding Displacement in the Brahmaputra Floodplain of Lower Assam, India

This paper argues that displacement in Assam's Brahmaputra floodplain is a gradual process driven by chronic land loss and livelihood erosion rather than just sudden floods, necessitating a shift from short-term relief to inclusive, long-term adaptive strategies for affected communities.

MD AHINUR ISLAM2026-07-23

📄 other

Estimating Biomass in Trans-Himalayan Rangelands Using Sentinel-2 Data and Machine Learning Approaches

This study demonstrates that integrating Sentinel-2 satellite imagery with Random Forest machine learning algorithms provides an accurate and scalable method for estimating above-ground biomass in Trans-Himalayan rangelands, offering a vital tool for sustainable land management and pastoral livelihood protection.

Sidra Farish, Rukhsana Kausar, Zahir Ali, Saba Yousafzai2026-07-23

📄 earth science

Machine Learning-Based Landslide Susceptibility Mapping and Environmental Controls in Hanang District, Northern Tanzania

This study utilizes a Random Forest machine learning model integrated with GIS and remote sensing data to map landslide susceptibility in Hanang District, Tanzania, achieving 93.5% accuracy and identifying NDVI as the primary predictor while revealing that nearly 44% of the district is highly vulnerable to future landslides.

Asnath Alberto Malekela2026-07-23

📄 earth science

Width-dominant rupture of an Mw 7.4 earthquake off Aomori Prefecture, Japan, on 8 December 2025 and its relationship with fault scaling

This study analyzes the December 2025 Mw 7.4 earthquake off Aomori, Japan, revealing a unique width-dominant rupture pattern that deviates from standard fault scaling laws and suggests a complex plate interface geometry involving multiple asperities.

Tatsuya Kubota, Hisahiko Kubo, Hiroaki Tsushima, Tatsuhiko Saito, Yusaku Ohta2026-07-23

📄 earth science

Deep-learning climate emulator ACE2 reveals a global decrease in tropical cyclone frequency in the 15th Century under an El Niño-like sea surface temperature pattern

Using the deep-learning-based ACE2 emulator, this study reveals that an El Niño-like sea surface temperature pattern in the 15th Century drove a global decrease in tropical cyclone frequency through enhanced vertical wind shear and a drier midtroposphere, thereby demonstrating the utility of deep learning in paleoclimate analysis to improve future projections.

Mu-Ting Chien, Wenchang Yang, Eric D. Maloney, Gabriel A Vecchi, Elizabeth A. Barnes2026-07-23

📄 earth science

Climate overshoot and irreversibility: Implications for the social cost of greenhouse gases and emission metrics

This study demonstrates that accounting for irreversible climate damages in temperature overshoot pathways significantly increases the social cost of methane and contrail cirrus relative to carbon dioxide before peak warming, thereby challenging conventional emission metrics while lowering post-peak cost estimates due to locked-in damages.

Daniel Johansson, Christian Azar, Jan Fuglestvedt, Peter Howard, Thomas Sterner, Katsumasa Tanaka2026-07-23

📄 earth science

The acoustic environment is a property of place and fine particulate matter a property of time: co-located measurements across Providence, Rhode Island

This study demonstrates that in Providence, Rhode Island, the acoustic environment is primarily determined by static place-based factors like land use and tree canopy, whereas fine particulate matter (PM2.5) is driven by dynamic temporal factors like weather conditions, indicating that these two pollutants should be assessed separately rather than combined into a single environmental quality index.

Erica D. Walker, Sai Venkat Mandalapu, Sage Lefebvre2026-07-23

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