Implementation of an adaptive bias-aware extended Kalman filter for sea-ice data assimilation in the HARMONIE-AROME numerical weather prediction system: numerical experiments

• Main Author: Yurii Batrak
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: Sea ice
• Online Access: https://zenodo.org/record/5142089; https://doi.org/10.5281/zenodo.5142089

This data set provides the post-processed output of the numerical experiments performed to assess the possible effects of applying sea ice data assimilation within the surface analysis procedure of the HARMONIE-AROME NWP system. Results of five numerical experiments are provided: HA-REF – reference experiment without sea ice data assimilation applied, and with blending for upper-air initialization HA-EKF – sensitivity experiment with sea ice data assimilation applied, and with blending for upper-air initialization 3DVAR-REF – reference experiment without sea ice data assimilation applied, and with 3DVAR for the upper-air analysis 3DVAR-EKF – sensitivity experiment with sea ice data assimilation applied, and with 3DVAR for the upper-air analysis 3DVAR-EKF-TS – sensitivity experiment with sea ice data assimilation, and with 3DVAR for the upper-air analysis using coupled surface and atmospheric data assimilation procedures For the HA-REF and HA-EKF experiments a subset of the gridded model output is provided; for the 3DVAR-REF, 3DVAR-EKF and 3DVAR-EKF-TS experiments a subset of the gridded model output and model data extracted at the positions of the SYNOP and TEMP stations within the model domain are provided. Additionally, in-situ observations, covering the same time period as the 3DVAR-REF, 3DVAR-EKF, 3DVAR-EKF-TS experiments, are provided.