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

DOI

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.

The dataset is divided into 3 folders:data_CLD : chord length distribution estimated on the X-ray imagesoptical measurements : measurements of the bidirectional reflectance factors for the the 3 snow samplessimulations : simulations of the bidirectional reflectance factors for the the 3 snow samplesEach folder contains a readme.tex file describing all the file in the folder. All data are provided in .csv file.

Identifier
DOI https://doi.org/10.1594/PANGAEA.935028
Related Identifier IsSupplementTo https://doi.org/10.5194/tc-2021-53
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.935028
Provenance
Creator Dumont, Marie ORCID logo; Flin, Frederic ORCID logo; Malinka, Aleksey ORCID logo; Brissaud, Olivier; Hagenmuller, Pascal ORCID logo; Lapalus, Philippe; Calonne, Neige ORCID logo; Dufour, Anne; Ando, Edward; Rolland du Roscoat, Sabine
Publisher PANGAEA
Publication Year 2021
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format application/zip
Size 109.1 MBytes
Discipline Earth System Research