Advanced space-weather forecasting relies on the ability to accurately predict near-Earth solar wind conditions. For this purpose, physics-based, global numerical models of the solar wind are initialized with photospheric magnetic field and coronagraph observations, but no further observation constraints are imposed between the upper corona and Earth orbit. Data assimilation (DA) of the available in situ solar wind observations into the models could potentially provide additional constraints, improving solar wind reconstructions, and forecasts. However, in order to effectively combine the model and observations, it is necessary to quantify the error introduced by assuming point measurements are representative of the model state. In particul...
Forecasting space weather is an essential activity for increasing the resilience of modern technolog...
Context. The recent launches of Parker Solar Probe, Solar Orbiter (SO), and BepiColombo, along with ...
Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather...
Advanced space-weather forecasting relies on the ability to accurately predict near-Earth solar wind...
Accurate space weather forecasting requires advanced knowledge of the solar wind conditions in near-...
International audienceVariational data assimilation (DA) has enabled huge improvements in the skill ...
International audienceData assimilation (DA) is used extensively in numerical weather prediction (NW...
International audienceRoutine in situ solar wind observations from L5, located 60° behind Earth in i...
International audienceAccurate reconstruction of global solar-wind structure is essential for connec...
Data Assimilation (DA) is used extensively in numerical weather prediction (NWP) to improve forecast...
Routine in‐situ solar wind observations from L5, located 60° behind Earth in its orbit, would provid...
Knowledge of the ambient solar wind is important for accurate space-weather forecasting. A simple-bu...
Accurate predictions of ambient solar wind conditions are a central component of space weather forec...
Forecasting space weather is an essential activity for increasing the resilience of modern technolog...
Context. The recent launches of Parker Solar Probe, Solar Orbiter (SO), and BepiColombo, along with ...
Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather...
Advanced space-weather forecasting relies on the ability to accurately predict near-Earth solar wind...
Accurate space weather forecasting requires advanced knowledge of the solar wind conditions in near-...
International audienceVariational data assimilation (DA) has enabled huge improvements in the skill ...
International audienceData assimilation (DA) is used extensively in numerical weather prediction (NW...
International audienceRoutine in situ solar wind observations from L5, located 60° behind Earth in i...
International audienceAccurate reconstruction of global solar-wind structure is essential for connec...
Data Assimilation (DA) is used extensively in numerical weather prediction (NWP) to improve forecast...
Routine in‐situ solar wind observations from L5, located 60° behind Earth in its orbit, would provid...
Knowledge of the ambient solar wind is important for accurate space-weather forecasting. A simple-bu...
Accurate predictions of ambient solar wind conditions are a central component of space weather forec...
Forecasting space weather is an essential activity for increasing the resilience of modern technolog...
Context. The recent launches of Parker Solar Probe, Solar Orbiter (SO), and BepiColombo, along with ...
Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather...