Method and system for determining emission distribution of a gas using a surrogate model

Abstract

Obtaining accurate estimates of emission distribution of gases is a technically challenging as well as environmentally relevant problem. Existing techniques have high computational cost, need deep mathematical and computational expertise, and are prone to errors. Hence, embodiments of present disclosure provide a method and system for determining emission distribution using a surrogate model. The method takes prior emission distributions of gas and updates them using its future concentrations in the atmosphere by using a trained surrogate of a numerical transport model by maintaining consistency between the emissions, atmospheric transport, and future concentrations. The surrogate model is trained in a data-driven way to improve transport models, which is less complicated and time-consuming than correcting the parameterizations and constants used in numerically modeling various processes in transport.