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  1. FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design

    Machine learning weather prediction (MLWP) models have demonstrated remarkable potential in delivering accurate forecasts at substantially reduced computational cost compared to traditional numerical weather prediction (NWP) systems. However, challenges remain […]

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  2. Development of new global lake brGDGT-temperature calibrations: advances, applications, challenges, and recommendations

    Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a group of temperature-sensitive membrane lipids found in bacteria that have been widely used in palaeo-temperature reconstruction. Despite recent advances in analytical methods, […]

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  3. A Global Speleothem-Based Assessment of Spontaneous Dansgaard–Oeschger Type Oscillations in Two Isotope-Enabled General Circulation Models

    Several general circulation models have now demonstrated the ability to simulate spontaneous millennial-scale oscillations that resemble Dansgaard–Oeschger (DO) events. It is often unclear how representative of DO events these simulations […]

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  4. Evidence that a highly invasive ascidian can survive the thermal conditions of a simulated transit across the sub-Antarctic and polar fronts

    The sub-Antarctic and polar fronts are features of the Antarctic Circumpolar Current that separates the South Atlantic and Southern Ocean. These fronts act as both a physical and physiological barrier […]

    Read more of: Evidence that a highly invasive ascidian can survive the thermal conditions of a simulated transit across the sub-Antarctic and polar fronts