Time series of alpine snow surface radiative-temperature maps from high-precision thermal-infrared imaging

Arioli, Sara; Picard, Ghislain; Arnaud, Laurent; Gascoin, Simon; Alonso-González, Esteban; Poizat, Marine; Irvine, Mark

doi:https://doi.org/10.5194/essd-16-3913-2024

Articles | Volume 16, issue 9

https://doi.org/10.5194/essd-16-3913-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-3913-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 9

Data description paper

|

02 Sep 2024

Data description paper |

| 02 Sep 2024

Time series of alpine snow surface radiative-temperature maps from high-precision thermal-infrared imaging

Sara Arioli, Ghislain Picard, Laurent Arnaud, Simon Gascoin, Esteban Alonso-González, Marine Poizat, and Mark Irvine

Data sets

Timeseries of the snow surface temperature acquired at the Col du Lautaret (French Alps) during winter 2021-2022 with an uncooled thermal infrared camera - v2 - UTC Sara Arioli et al. https://doi.org/10.57932/8ed8f0b2-e6ae-4d64-97e5-1ae23e8b97b1

Timeseries of the snow surface temperature acquired at the Col du Lautaret (French Alps) during spring 2023 with an uncooled thermal infrared camera - v2 - UTC Sara Arioli et al. https://doi.org/10.57932/1e9ff61f-1f06-48ae-92d9-6e1f7df8ad8c

Short summary

High-accuracy precision maps of the surface temperature of snow were acquired with an uncooled thermal-infrared camera during winter 2021–2022 and spring 2023. The accuracy – i.e., mean absolute error – improved from 1.28 K to 0.67 K between the seasons thanks to an improved camera setup and temperature stabilization. The dataset represents a major advance in the validation of satellite measurements and physical snow models over a complex topography.