Better weather forecasting through satellite isotope data assimilation

Real satellite water vapor isotope data were assimilated in a general circulation model to determine whether including these data could improve forecast accuracy at both the global and local scales. Overall, forecast accuracy was improved by several percentage points. The effect was especially notable for variables closely related to water vapor isotope fractionation, such as air temperature and specific humidity, and a local-scale pressure pattern over Japan in 2013 was modeled more clearly.

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