Texture characterization of some large hailstones with an automated technique - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Glaciology Année : 2021

Texture characterization of some large hailstones with an automated technique

Résumé

Abstract Hailstone structures have been studied for over a century, but so far mainly by manual optical means. This paper presents new texture and microstructure data (i.e. crystal lattice orientations, grain sizes and shapes) measured with an Automatic Ice Texture Analyzer, which gives access to high spatial and angular resolutions. The hailstones show two main characteristics: (1) they are structured with several concentric layers composed of alternating fine equiaxed grains and coarse elongated and radially oriented grains, and (2) they show two texture types with c -axes oriented either parallel or perpendicular to the radial direction. Such textures are compared with the ones observed in lake S1 and S2 ices, respectively. The S1 texture type (with c -axes parallel to the columnar crystals that grew in the radial direction) may result from epitaxial growth from a polycrystalline embryo, while the S2 texture ( c -axes in the plane perpendicular to the column direction) may result from the growth from an embryo made of a few crystals with mainly one crystallographic orientation. Our novel high-resolution maps and measurements of both microstructure and texture may help to shed new light on the long-term discussion on the growth mechanisms of large hailstones.

Domaines

Glaciologie
Fichier principal
Vignette du fichier
Montagnat2021_TexturesLargeHailstones.pdf (2.79 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03409459 , version 1 (02-11-2021)

Identifiants

Citer

Maurine Montagnat, Mathieu Bourcier, Armelle Philip, Paul Bons, Catherine Bauer, et al.. Texture characterization of some large hailstones with an automated technique. Journal of Glaciology, 2021, pp.1-15. ⟨10.1017/jog.2021.66⟩. ⟨hal-03409459⟩
34 Consultations
30 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More