Terrafuse, Inc.

Mayur Mudigonda

Adrian Albert

Brian White

Ashray Manepalli

Alok Singh

Apparatuses, methods, and systems for increasing a spatial resolution of gridded spatial-temporal data on weather and climate-related physical variables are disclosed. One method includes obtaining weather and climate data including at least a coarse resolution and a fine resolution, or observational data that includes physical data, pre-processing the weather and climate data, training one or more probabilistic downscaling mapping functions of the at least one of the gridded numeric simulation data 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 generating 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.

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Berkeley, CA, United States of America

Mayur Mudigonda