Do you mean added resolution of input data, or improved resolution at which the models are run? Input data is frankly very limited - IMO we are barely measuring

Do you mean added resolution of input data, or improved resolution at which the models are run? Input data is frankly very limited - IMO we are barely measuring the atmosphere. Model runs are higher resolutions are only good if there is sufficient input data to seed the models. It's my lifelong passion to increase the usable input data (live atmosphere measurements) that models can assimilate. My latest attempt is to use the barometers in phones to create billions of new 'virtual weather stations'. My US-only Android app (iOS and international coming soon) is https://play.google.com/store/apps/details?id=com.allclearweather.android https://play.google.com/store/apps/details?id=com.allclearwe... You can see an animation of the data recorded in the Orlando, FL area when Dorian was churning off the coast: https://www.allclearweather.com/hurricane-dorian https://www.allclearweather.com/hurricane-dorian The data requires significant QA and bias correction to use, but it is possible (see Cliff Mass research papers) and the trends in the data are already clear and usable, regardless of actual pressure value recorded. Let's add a source code link for Android background/foreground sensor access that I wrote to further these goals: https://github.com/JacobSheehy/AllClearSensorLibrary https://github.com/JacobSheehy/AllClearSensorLibrary