• Mashup Score: 1

    This paper proposes a low-cost machine learning correction for physics-based dynamical models that improves subseasonal forecasting of temperature and precipitation two to six weeks ahead.

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    • Mouatadid, @LesterMackey @judah47 @GFlaspohler et al. propose a low-cost #MachineLearning correction for physics-based dynamical models that improves #subseasonal #forecasting of #temperature and #precipitation @UofT @MSFTResearch @AER_inc @MIT https://t.co/nfUeNdndhu https://t.co/AXGSGEdPju

  • Mashup Score: 4

    World-first ‘phase change inks’ that could transform how we heat and cool buildings, homes and cars – to achieve sophisticated ‘passive climate’ control – have been developed, with enormous potential to help reduce energy use and global greenhouse gas emissions.

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    • World-first ‘phase change inks’ that could transform how we heat and cool buildings, homes and cars through ‘passive climate’ control have been developed @UniMelb #climatechange #phasetransitions #temperature #chemicalreactions #nanotechnology https://t.co/NL8j6r4uTc