Method and System for Increasing the Resolution of Physical Gridded Data

A system for increasing a spatial resolution of gridded spatial-temporal data on weather and climate-related physical variables, comprising:

• a plurality of sensors, sensing physical data;
• one or more computing devices connected through a network to the plurality of sensors;
• memory including instructions that, when executed by the one or more computing devices, enables the system to:
• obtain weather and climate data, the weather and climate data comprising at least one of gridded numerical simulation data having at least two spatial resolutions including at least a coarse resolution and a fine resolution, or observational data that includes at least one source of sensed physical data, wherein at least one of the gridded numerical simulation data or the observational data include weather and climate-related data;
• pre-process the weather and climate data;
• train one or more probabilistic downscaling mapping functions of the at least one of the gridded numeric simulation data having at least two spatial resolutions or the observational data comprising applying interpolation filters to successively interpolate the pre-processed weather and climate data to generate output data having a resolution that is equal to the fine resolution;
• and
• generate high-resolution physical parameters for at least one of a plurality of applications utilizing the trained probabilistic downscaling mapping functions receiving different weather and climate input data that has different times or locations than the pre-processed weather and climate data used in the training.