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February 21, 2026Tellus0 citationsOpen Access

Dynamical Emissivity for Microwave Radiance Assimilation in Regional NWP: Preparing for the Arctic Weather Satellite and EPS-Sterna

SGStéphanie GuedjMMMáté MileDSDavid Schönach

Key Points

  • The study aims to enhance the use of microwave radiance observations in numerical weather prediction by optimizing data assimilation processes.
  • Executed the HARMONIE-AROME model to assess assimilation impacts.
  • Focused on low-peaking channels affected by surface model uncertainties.
  • Developed versions of the data assimilation system, including 3D-Var and 4D-Var.
  • Improved assimilation methods were identified for low-peaking channels.
  • Dynamic emissivity method showed potential to enhance forecast accuracy.
  • Preparation was made for operational data use post-Arctic Weather Satellite launch.

Abstract

Radiance observations from microwave sounders have become one of the most valuable sources of information that is used in Numerical Weather Prediction (NWP). However, uncertainties in the land (and sea-ice) surface modelization do not permit optimal use of channels that receive a mixed contribution from the surface and the troposphere (i.e., low-peaking channels). In the context of the preparation of the Arctic Weather Satellite (AWS) mission, the HARMONIE-AROME model was run to evaluate the impact of assimilating the low-peaking channels of existing instruments using the so-called “dynamic emissivity method.” The aim of this work was also to build the best possible version of HARMONIE-AROME data assimilation system (3D-Var and 4D-Var) before the launch of the AWS instrument that happened in August 2024 and to be ready to assimilate the data as soon as the instrument was declared operational in June 2025.

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Cite This Study

Guedj et al. (2026) studied this question.

synapsesocial.com/papers/69994aab873532290d01f082https://doi.org/10.16993/tellus.4117
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