Tóth et al. (2026) Impact of ASCAT Level-2 Soil Moisture Assimilation Using a Simplified Extended Kalman Filter in the AROME Model

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Identification

• Journal: Meteorology
• Year: 2026
• Date: 2026-07-25
• Authors: Helga Tóth, Balázs Szintai, Hajnalka Breuer
• DOI: 10.3390/meteorology5030021

Research Groups

• Hungarian Meteorological Service

Short Summary

This study evaluates the impact of assimilating ASCAT Level-2 surface soil moisture retrievals into the AROME model, demonstrating improvements in soil states, near-surface atmospheric variables, and precipitation forecasts.

Objective

• To quantify the added value of assimilating ASCAT surface soil moisture retrievals into the AROME numerical weather prediction system compared to a reference configuration.

Study Configuration

• Spatial Scale: Mesoscale (Regional)
• Temporal Scale: May–October 2023

Methodology and Data

• Models used: AROME (Numerical Weather Prediction), SURFEX (surface modeling platform), Simplified Extended Kalman Filter (SEKF).
• Data sources: ASCAT Level-2 surface soil moisture retrievals (0–0.05 m), 2 m temperature observations, and relative humidity observations.

Main Results

• Systematic improvements were observed in root-zone soil moisture and soil temperature, indicating that surface-layer assimilation benefits deeper soil layers.
• Positive impacts were found on near-surface atmospheric variables, specifically 2 m temperature and humidity, with the most significant improvements occurring during nighttime.
• Precipitation forecasts showed measurable improvement, attributed to enhanced land–atmosphere coupling.

Contributions

• Demonstrates that the assimilation of satellite-derived surface soil moisture (0–0.05 m) effectively propagates to deeper soil layers and improves short-range atmospheric and precipitation forecasts within an operational mesoscale framework.

Funding

• Not specified

Citation

@article{Tóth2026Impact,
  author = {Tóth, Helga and Szintai, Balázs and Breuer, Hajnalka},
  title = {Impact of ASCAT Level-2 Soil Moisture Assimilation Using a Simplified Extended Kalman Filter in the AROME Model},
  journal = {Meteorology},
  year = {2026},
  doi = {10.3390/meteorology5030021},
  url = {https://doi.org/10.3390/meteorology5030021}
}