Influence of light-absorbing  particles on snow  spectral irradiance profiles

Tuzet, Francois; Dumont, Marie; Arnaud, Laurent; Voisin, Didier; Lamare, Maxim; Larue, Fanny; Revuelto, Jesus; Picard, Ghislain

doi:https://doi.org/10.5194/tc-13-2169-2019

Articles | Volume 13, issue 8

https://doi.org/10.5194/tc-13-2169-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-13-2169-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 8

Research article

|

19 Aug 2019

Research article |

| 19 Aug 2019

Influence of light-absorbing particles on snow spectral irradiance profiles

Francois Tuzet, Marie Dumont, Laurent Arnaud, Didier Voisin, Maxim Lamare, Fanny Larue, Jesus Revuelto, and Ghislain Picard

Data sets

Compilations and splined-smoothed calculations of continuous records of the atmospheric greenhouse gases CO2, CH4, and N2O and their radiative forcing since the penultimate glacial maximum P. Köhler, C. Nehrbass-Ahles, J. Schmitt, T. F. Stocker, and H. Fischer, H.: https://doi.org/10.1594/PANGAEA.871273

The penultimate deglaciation: protocol for PMIP4 transient numerical simulations between 140 and 127 ka L. Menviel, E. Capron, L. Tarasov, and A. Abe-Ouchi https://doi.org/10.26190/5d0c0c0bd1f26

Short summary

Here we present a novel method to estimate the impurity content (e.g. black carbon or mineral dust) in Alpine snow based on measurements of light extinction profiles. This method is proposed as an alternative to chemical measurements, allowing rapid retrievals of vertical concentrations of impurities in the snowpack. In addition, the results provide a better understanding of the impact of impurities on visible light extinction in snow.