AI Emulator Replicates Ammonia Ensembles 3300 Times Faster Than Physics Model
A new AI emulator reproduces GEM-MACH ammonia ensembles about 3300 times faster while delivering nearly identical emissions inversion results.
A new AI emulator reproduces GEM-MACH ammonia ensembles about 3300 times faster while delivering nearly identical emissions inversion results.
OceanTracker 0.5 computes trajectories for more than a million ocean particles over ten times faster than OpenDrift on a single ...
A PyTorch-based 3DVar data assimilation system for WRF-Chem achieves a 26.2-fold speedup on GPU hardware while matching the accuracy of ...
A new study quantifies the detection limits of MODIS and VIIRS fire radiative power products and builds observation operators showing ...
Researchers rebuilt the green-roof physics in the WRF weather model and cut simulated ground heat flux errors from over 100 ...
Researchers have rebuilt the Agro-C crop model so that carbon allocation between roots and leaves responds dynamically to soil moisture ...
A new performance-based weighting framework gives greater influence to hard-to-simulate variables like precipitation and wind when selecting WRF model physics ...
A new open-source tool called EnviFlux uses simplified 4D-Var data assimilation on a desktop computer to reveal how model errors ...
A field-based evaluation in London, Ontario reveals that the widely used EcoRoof and WRF green roof models diverge sharply in ...
Scientists overhauled the snow physics of Canada's CLASSIC land surface model, cutting Arctic snow depth and soil temperature errors dramatically ...
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© 2025 Scienmag - Science Magazine