Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Gabriëlle J M de Lannoy , Michel Bechtold , Clément Albergel , Luca Brocca , Jean-Christophe Calvet (1) , Alberto Carrassi , Wade T Crow , Patricia de Rosnay , Michael Durand , Barton Forman , Gernot Geppert , Manuela Girotto , Harrie-Jan Hendricks Franssen , Tobias Jonas , Sujay Kumar , Hans Lievens , Yang Lu , Christian Massari , Valentijn R N Pauwels , Rolf H Reichle , Susan Steele-Dunne

1 CNRM - Centre national de recherches météorologiques

Mots clés: data assimilation; soil moisture; snow; vegetation; microwave remote sensing; land surface modeling; targeted observations

Domaines: Sciences de l'environnement

Gabriëlle J M de Lannoy, Michel Bechtold, Clément Albergel, Luca Brocca, Jean-Christophe Calvet, et al.. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water, 2022, ⟨10.3389/frwa.2022.981745⟩. ⟨meteo-03842227⟩