Sensing the Polycrisis by Mari Keski-Korsu

“…The focus lies on sensory registers related to the environment in the Arctic village of Abisko in northern Sweden, an area that is changing rapidly and which has been extensively researched within the natural sciences. …”
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Corrigendum to “Spatio‐temporal Variability and Trends in Extreme Temperature Events in Finland over the Recent Decades: Influence of Northern Hemisphere Teleconnection Patterns”... by Masoud Irannezhad, Hamid Moradkhani, Bjørn Kløve

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Spatiotemporal Variability and Trends in Extreme Temperature Events in Finland over the Recent Decades: Influence of Northern Hemisphere Teleconnection Patterns by Masoud Irannezhad, Hamid Moradkhani, Bjørn Kløve

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The use of eDNA in the reconstruction of present and past polar vertebrates’ populations by Rodrigo Goldenberg-Barbosa, Anna Donato, Dafne Anjos, Cesar Amaral

“… The polar regions are home to a great biodiversity of vertebrates that are highly impacted by climate change. As extreme and pristine ecosystems, the use of environmental DNA (eDNA) presents itself as a noninvasive tool for the monitoring of polar vertebrates’ species, essential for their preservation. …”
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Adaptation of global primary production model to the Greenland Sea conditions: parameterization and monitoring for 1998-2022 by Aleksandra Cherkasheva, Rustam Manurov, Piotr Kowalczuk, Alexandra N. Loginova, Monika Zabłocka, Astrid Bracher, Astrid Bracher

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Amplification of Northern Hemisphere winter stationary waves in a warming world by Jueun Lee, S.-Y. Simon Wang, Seok-Woo Son, Daehyun Kim, Jee-Hoon Jeong, Hyungjun Kim, Jin-Ho Yoon

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An Overview: Organophosphate Flame Retardants in the Atmosphere by Hsin-Chieh Kung, Yen-Kung Hsieh, Bo-Wun Huang, Nicholas Kiprotich Cheruiyot, Guo-Ping Chang-Chien

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Giant pit craters on the modern seafloor above magma-induced hydrothermal vent complexes of Scotia Sea, offshore Antarctica by L. Somoza, K. M. Andreassen, A. Plaza-Faverola, T. Medialdea, J. Gafeira, F. J. González, G. R. Dickens

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STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

“…This article contributes to the expanding literature by developing a data-driven, artificial intelligence (AI)-based solution for forecasting sea ice concentration in the Arctic. Specifically, we introduced STEPNet—a spatial and temporal encoding pipeline capable of handling the temporal heterogeneity of multivariate sea ice drivers, including various climate and environmental factors with varying impacts on sea ice concentration changes. …”
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