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Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant computational resources. To address this, researchers developed a novel method to solve data assimilation on quantum computers, significantly reducing the computation time. The findings of the study have the potential to advance NWP systems and will inspire practical applications of quantum computers for advancing data assimilation.

Open access notables 'Despite the potential for positive methane–climate feedbacks from global wetlands, most Earth System Models (ESMs) and Integrated Assessment Models (IAMs) that informed the last Assessment Report of the IPCC do not directly incorporate this process.' Publishing in Nature Climate Change, Zheng et al. unpack the implications of this oversight in Recent intensification of wetland methane feedback. The authors find that compared to climate models CH4 emissions are rising notably faster than projected, on the order of perhaps 25%. This of course is no...

Several years of global research performed have flashed the big question—can the weather be controlled by humans? As per the study reported recently in the Nonlinear Processes of Geophysics journal, this may turn out to be a new reality.