Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure

• Main Authors: Dumont, Marie, Flin, Frederic, Malinka, Aleksey, Brissaud, Olivier, Hagenmuller, Pascal, Lapalus, Philippe, Calonne, Neige, Dufour, Anne, Ando, Edward, Rolland du Roscoat, Sabine
• Format: Dataset
• Language: English
• Published: PANGAEA 2021
• Subjects: microstructure; optics; snow; The Cryosphere
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.935028; https://doi.org/10.1594/PANGAEA.935028

Snow optical properties are essential for the Earth climate. Snow optical properties, such as snow reflectance, are sensitivie to the snow microstructure, triggering potent climate feedbacks. Here we present a unique dataset consisting in combined characterization of the snow microstructure via X-ray images and of the snow directional reflectance using high accuracy measurements in cold room for 3 different snow samples. The dataset comprises : measurements of the snow bidirectional reflectance factor over 500–2500 nm, simulations of the snow bidirectional reflectance factor and chord length distribution estimated for X-ray images for 3 snow samples. The data are provided for 3 different snow samples.