Published March 3, 2021 | Version v1
Dataset Open

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

  • 1. Development Centre for Weather Forecasting, Norwegian Meteorological Institute

Description

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.

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