Optical attenuation coefficients of glacier ice from 350-700 nm and raw irradiance values from 350-900 nm ...

• Main Authors: Cooper, Matthew G, Smith, Laurence C, Rennermalm, Asa K, Tedesco, Marco, Muthyala, Rohi, Leidman, Sasha Z, Moustafa, Samiah E, Fayne, Jessica V
• Format: Article in Journal/Newspaper
• Language: English
• Published: PANGAEA 2021
• Subjects: Albedo; attenuation coefficient; extinction coefficient; glacier ice; ICESat-2; Lidar; Mie theory; subsurface melting; transmittance; two stream theory; glacier; Greenland; ice core; Ice Sheet
• Online Access: https://dx.doi.org/10.1594/pangaea.930278; https://doi.pangaea.de/10.1594/PANGAEA.930278

Optical attenuation coefficients of glacier ice from 350-700 nm were estimated from in-ice solar irradiance measured over the spectral range 350-900 nm and 12-124 cm depth collected at a site in the western Greenland ablation zone (67.15 oN, 50.02 oW). The acquired spectral irradiance measurements are used to calculate irradiance (flux) attenuation coefficients using an exponential decay Bouguer law model. Spectral absorption coefficients are estimated using the method of Warren et. al. (2006), which relates the attenuation coefficient to the absorption coefficient in the visible spectrum. The attenuation coefficients are calculated with linear regression between ice thickness in units of solid ice equivalent referenced to 917 kg/m3 and co-located transmittance. Solid ice equivalent thickness is calculated from in-situ ice density measured in the field on an ice core extracted from the measurement location. The ice density was 699 kg/m3 from 0-8 cm depth, 801 kg/m3 from 4-45 cm , 883 kg/m3 from 45-74 cm, and ... : These data are supplement to the article Cooper et al. (2021). Please cite these data and that article in publications that use these data. These data were collected on 20-21 July 2018 at a field site on the western Greenland Ice Sheet. Field site and methodological details are provided in the article. The data required to reproduce figures in the article are included here. The Monte Carlo model is publicly available at https://github.com/mgcooper/imcrt and can be used to replicate the results presented in the article cited here.If you use the Monte Carlo model, please cite the model using the citation given in "Further details". ...