Paleoclimate data assimilation with CLIMBER-X: An ensemble Kalman filter for the last deglaciation.

ABSTRACT: Using the climate model CLIMBER-X, we present an efficient method for assimilating the temporal evolution of surface temperatures for the last deglaciation covering the period 22000 to 6500 years before the present. The data assimilation methodology combines the data and the underlying dynamical principles governing the climate system to provide a state estimate of the system, which is better than that which could be obtained using just the data or the model alone. In applying an ensemble Kalman filter approach, we make use of the advances in the parallel data assimilation framework (PDAF), which provides parallel data assimilation functionality with a relatively small increase in computation time. We find that the data assimilation solution depends strongly on the background evolution of

SUBMITTER: Masoum A 

PROVIDER: S-EPMC10994341 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature