Mapping snow depth on Canadian sub-arctic lakes using ground-penetrating radar

Pouw, Alicia F.; Kheyrollah Pour, Homa; MacLean, Alex

doi:https://doi.org/10.5194/tc-17-2367-2023

Articles | Volume 17, issue 6

https://doi.org/10.5194/tc-17-2367-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-2367-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 6

Research article

|

15 Jun 2023

Research article |

| 15 Jun 2023

Mapping snow depth on Canadian sub-arctic lakes using ground-penetrating radar

Alicia F. Pouw, Homa Kheyrollah Pour, and Alex MacLean

Data sets

Lake Snow depth observations derived from Ground Penetrating Radar for four lakes near Yellowknife, Northwest Territories Alicia Pouw and Homa Kheyrollah Pour https://doi.org/10.5683/SP3/LZ8AZU

Short summary

Collecting spatial lake snow depth data is essential for improving lake ice models. Lake ice growth is directly affected by snow on the lake. However, snow on lake ice is highly influenced by wind redistribution, making it important but challenging to measure accurately in a fast and efficient way. This study utilizes ground-penetrating radar on lakes in Canada's sub-arctic to capture spatial lake snow depth and shows success within 10 % error when compared to manual snow depth measurements.