Results 211 to 220 of about 10,073 (308)

Evolution Model for the Paleoproterozoic Talvivaara Mudstone‐Hosted Ni‐Zn‐Cu‐Co Deposit in Fennoscandia

open access: yesTerra Nova, Volume 38, Issue 4, Page 221-232, August 2026.
ABSTRACT The Paleoproterozoic Talvivaara mudstone is a very large sulfidic Ni‐Co deposit that records enhanced organic matter accumulation during the global Shunga Event. Here, rock geochemistry and microscale S and Fe isotope composition of in situ pyrrhotites and pyrites are studied in well‐characterised, well‐preserved drill core samples.
Raimo Lahtinen   +3 more
wiley   +1 more source

Tree‐Ring Oxygen Isotope Values During the Last Glacial Maximum and Insights to Future Changes in Climate

open access: yesTerra Nova, Volume 38, Issue 4, Page 259-265, August 2026.
ABSTRACT Annual tree‐ring oxygen‐isotope values were measured from sections of two fossil logs of Picea mariana (black spruce) recovered from last glacial maximum proglacial sediment in Illinois, USA. Collectively, the specimens date from ca. 25,130 to 24,720 cal years BP.
Dana M. Labotka   +2 more
wiley   +1 more source

Upgradient Storage Features Control Timing and Magnitude of Solute Export at Stream Outlets

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Concentration‐discharge (C‐Q) relations are used to infer water and solute storage and transport but are often informed by coarse‐temporal data. Here, we use high‐frequency and long‐term C‐Q datasets from two adjacent, but geologically and geomorphically distinct, watersheds in Colorado to evaluate how vertical and lateral flowpaths ...
Sara Warix   +6 more
wiley   +1 more source

The influence of short term soil sealing and crusting on hydrology and erosion at Balaton Uplands, Hungary [PDF]

open access: yes, 2013
Szalai, Zoltán   +5 more
core  

AI Agent for Hydrologic Modeling: Definition, Development, and Application

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Hydrologic modeling supports flood forecasting and water resources management, but complex preprocessing, parameterization, and configuration limit broader use. This study defines a six‐level framework for artificial intelligence (AI)‐agent autonomy in hydrologic modeling and develops a Level‐4 agent, powered by large language models, that ...
Songkun Yan   +11 more
wiley   +1 more source

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