Operational assimilation of Aeolus winds in the Météo‐France global <scp>NWP</scp> model <scp>ARPEGE</scp>

Pourret, Vivien; Šavli, Matic; Mahfouf, Jean‐François; Raspaud, Dominique; Doerenbecher, Alexis; Bénichou, H.; Payan, Christophe

doi:10.1002/qj.4329

Cited by 29 publications

(41 citation statements)

References 45 publications

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“…The study introduced the experimental setup, the data quality and consistency and provided an overview of the systematic changes in the analysis and impact on forecast error. The results overall confirms the promising statistical improvements demonstrated in the global impact studies of Garrett et al (2022); Laroche and St-James (2022); Pourret et al (2022) and Rennie et al (2021).…”

Section: Introductionsupporting

confidence: 80%

“…Their assimilation into global NWP models led to a significant impact on the analysis and forecasts over Europe and around the development of tropical cyclones, as well as their interaction with the midlatitude waveguide (Pu et al, 2010;Weissmann and Cardinali, 2007;Weissmann et al, 2012). Since the launch of the Aeolus satellite in August 2018, several observing system experiment (OSE) studies have been conducted to investigate the impact of the Rayleigh and Mie HLOS wind observations in various NWP models (Garrett et al, 2022;Laroche and St-James, 2022;Pourret et al, 2022;Rennie et al, 2021). Most of these studies concentrated on global forecast error statistics showing overall large improvements.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of dynamical scenarios leading to particularly high impact of Aeolus on NWP forecasts

Martin

Weißmann²,

Cress³

2022

Preprint

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Abstract. Global wind profiles from the Aeolus satellite mission provide an important source of wind information for Numerical Weather Prediction (NWP). Data assimilation experiments show large mean changes in the analysis and a significant reduction of forecast errors. At Deutscher Wetterdienst (DWD), an Observing Systems Experiment (OSE) for three months, from July 2020 to October 2020, has been performed to evaluate the impact of the Aeolus horizontal line-of-sight (HLOS) wind observations in the operational data assimilation system of the ICOsahedral Nonhydrostatic (ICON) global model. To better understand the underlying dynamics leading to the overall beneficial impact, specific time periods and regions with particularly high impact of Aeolus are investigated. In this study, we illustrate three examples of atmospheric phenomena that constitute dynamical scenarios for significant forecast error reduction through the assimilation of Aeolus: The phase shift of large-scale tropical circulation systems, namely the quasi-biennial oscillation (QBO) and the El Niño–Southern Oscillation (ENSO), and the interaction of tropical cyclones undergoing extratropical transition (ET) with the midlatitude waveguide.

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Section: Introductionsupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Investigation of dynamical scenarios leading to particularly high impact of Aeolus on NWP forecasts

Martin

Weißmann²,

Cress³

2022

Preprint

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“…For evaluating the contribution of Aeolus observations to NWP, the observing system experiments (OSEs) with and without Aeolus data assimilation have been performed with global NWP models at many institutions, including the ECMWF, National Oceanic and Atmospheric Administration (NOAA), Deutscher Wetterdienst (DWD), Météo-France, UK Met Office, etc. (Cress et al, 2022;Garrett et al, 2022;Forsythe and Halloran, 2022;Pourret et al, 2022;Rennie and Isaksen, 2022). The OSEs with the ECMWF model demonstrated that Aeolus winds are able to improve wind vector and temperature forecasts, especially in the upper troposphere and/or lower stratosphere over tropical and polar regions (Rennie et al, 2021).…”

mentioning

confidence: 99%

“…Regarding the reference dataset for evaluation, many verifications related to Aeolus OSEs were conducted by intercomparing with model analysis (Garrett et al, 2022;Pourret et al, 2022;Rennie and Isaksen, 2022). Since there are fewer in situ measurements available over tropical and polar regions, the analysis data may have large uncertainties in these regions.…”

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confidence: 99%

The impact of Aeolus winds on surface wind forecast over tropical ocean and high latitude regions

Zuo

Hasager

2022

Preprint

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Abstract. To detect global wind profiles and improve numerical weather prediction (NWP), the European Space Agency (ESA) launched the Aeolus satellite carrying a space-borne Doppler Wind Lidar in 2018. After the successful launch, the European Centre for Medium-Range Weather Forecasts (ECMWF) performed the observing system experiments (OSEs) to evaluate the contribution of Aeolus data to NWP. This study aims to assess the impact of Aeolus wind assimilation in the ECMWF model on surface wind forecast over tropical ocean regions by taking buoy measurements for reference and over high latitude regions by taking weather station data for reference for the year 2020. The assessments were conducted through inter-comparison analysis and triple collocation analysis. The results show that with Aeolus data assimilation, the tropical sea surface wind forecast could be slightly improved at some forecast time steps. The random errors of u (zonal) and v (meridional) wind components from OSEs are within 1 m s-1 with respect to the model resolution. For the high latitude regions, Aeolus can reduce the wind forecast errors in the Northern Hemisphere with forecast extending, particularly during the first half-year of 2020 and during the winter months. For the Southern Hemisphere, the positive impact is mainly found for the u component at most forecast steps during June, July and August. Moreover, compared with the tropical ocean regions and the region > 60° N, the random error of OSEs for the region > 60° S increases significantly to 3 m s-1 with forecast extending. Overall, this study demonstrates the ability of Aeolus winds to improve surface wind forecast over tropical oceans and high latitude regions, which provides valuable information for practical applications with Aeolus data in the future.

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“…As the Aeolus products are continuously calibrated and validated, the product processor is updated and the performance of the Aeolus Level-2B (L2B) wind product improves (Wu et al, 2022). Thus, the current Aeolus products are suitable for data assimilation (DA) in the global forecast system (GFS; Pourret et al, 2022;Guo et al, 2021).…”

mentioning

confidence: 99%

The impacts of assimilating Aeolus horizontal line-of-sight winds on numerical predictions of Hurricane Ida (2021) and a mesoscale convective system over the Atlantic Ocean

Feng

2023

Preprint

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Abstract. On 22 August 2018, the European Space Agency (ESA) launched the first spaceborne wind lidar, the Aeolus satellite, measuring horizontal line-of-sight (HLOS) winds globally. The assimilation of Aeolus HLOS winds has been proven to improve numerical weather predictions (NWPs). Still, its influences on forecasts of tropical cyclones (TCs) and tropical convective systems have yet to be examined in detail. This study investigates the impacts of assimilating Aeolus HLOS winds on the analysis and forecasts of Hurricane Ida (2021) and a mesoscale convective system (MCS) embedded in an African easterly wave (AEW) over the Atlantic Ocean (AO) with the mesoscale community Weather Research and Forecasting (WRF) model and the NCEP-GSI based three-dimensional ensemble-variational (3DEnVAR) hybrid data assimilation (DA) system. Mie-cloudy and Rayleigh-clear winds are assimilated. The results for Ida (2021) show that assimilating Aeolus HLOS winds leads to better track predictions. The intensity forecasts are improved in some cases, even with limited coverage of Aeolus HLOS winds within the inner core region of Ida (2021). In addition, the structure of heavy precipitation associated with Ida (2021) is refined after assimilation of Aeolus HLOS winds. Further diagnosis demonstrates that the improved intensity and precipitation forecasts result from enhanced divergence in the upper level of the troposphere after assimilation of Aeolus HLOS winds. Additional results from the MCS associated with an AEW indicate that assimilating Aeolus HLOS winds enhances forecasts of its precipitation structure and the associated low-level divergence. In short, this study demonstrates the potential of assimilation of Aeolus HLOS winds to improve forecasts for TCs and tropical convective systems.

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Operational assimilation of Aeolus winds in the Météo‐France global NWP model ARPEGE

Cited by 29 publications

References 45 publications

Investigation of dynamical scenarios leading to particularly high impact of Aeolus on NWP forecasts

Investigation of dynamical scenarios leading to particularly high impact of Aeolus on NWP forecasts

The impact of Aeolus winds on surface wind forecast over tropical ocean and high latitude regions

The impacts of assimilating Aeolus horizontal line-of-sight winds on numerical predictions of Hurricane Ida (2021) and a mesoscale convective system over the Atlantic Ocean

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