Simulated reflectance above snow constrained by airborne measurements of solar radiation: implications for the snow grain morphology in the Arctic

Jafariserajehlou, Soheila; Rozanov, Vladimir V.; Vountas, Marco; Gatebe, Charles K.; Burrows, John P.

doi:https://doi.org/10.5194/amt-14-369-2021

Articles | Volume 14, issue 1

https://doi.org/10.5194/amt-14-369-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-369-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Research article

|

18 Jan 2021

Research article |

| 18 Jan 2021

Simulated reflectance above snow constrained by airborne measurements of solar radiation: implications for the snow grain morphology in the Arctic

Soheila Jafariserajehlou, Vladimir V. Rozanov, Marco Vountas, Charles K. Gatebe, and John P. Burrows

Data sets

CAR data Goddard Earth Sciences Data and Information Services Center (GES DISC) https://acdisc.gesdisc.eosdis.nasa.gov/data/CAR/CAR_ARCTAS_L1C.1/

AERONET Data Goddard Space Flight Center (GSFC) https://aeronet.gsfc.nasa.gov/

Short summary

In this work, we study retrieval of snow grain morphologies and their impact on the reflectance in a coupled snow–atmosphere system. We present a sensitivity study to highlight the importance of having adequate information about snow and atmosphere. A novel two-stage algorithm for retrieving the size and shape of snow grains is presented. The reflectance simulation results are compared to that of airborne measurements; high correlations of 0.98 at IR and 0.88–0.98 at VIS are achieved.