Figure 5 - available via license: Creative Commons Attribution 4.0 International
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(a) Average CPD and (b) Average CCOH by vegetation class with interval of confidence (95%) for orbit 24 (31°, descending). Pixels values were extracted from GPS dataset (see Fig. 2c), where NColtsfoot = 33, NDryas = 140, NLupine = 118, NShrub = 29. Winter period (mid-September to mid-May) is shows in shaded area. Windows pixels size is 1x1 pixel (5x5m). (c) Meteorological data from Qikiqtaruk Herschel Island station (dataset from Environment Canada (2021)). The meteorological station is not equipped with a telemetry system and since the island is inaccessible during the winter, the lack of data during the winters 2015 and 2018 was caused by a malfunction of the
Source publication
Changes in snowpack associated with climatic warming has drastic impacts on surface energy balance in the cryosphere. Yet, traditional monitoring techniques, such as punctual measurements in the field, do not cover the full snowpack spatial and temporal variability, which hampers efforts to upscale measurements to the global scale. This variability...
Contexts in source publication
Context 1
... period with presence of snow was set between midSeptember and mid-May based on prior observations (Burn and Zhang, 2009;Stettner et al., 2018). Figure 5c shows the monthly average temperature and cumulative monthly precipitation on Qikiqtaruk-Herschel Island. 300 A periodicity was observed with the CPD signal, with on one side, the period of snow-free condition where the signal oscillates around zero, and on the other side, the period with snow where the signal decreased over the season suggesting an influence from the snowpack. ...
Context 2
... high-resolution vegetation classification used in this paper allowed us to show that CPD varies greatly according to seasons and vegetation class (Fig. 5). Overall, the CPD signal decreased during winter and increased rapidly during melt. This concurs with observations from Leinss et al. (2014Leinss et al. ( , 2016 made in Sodankylä. According to the model developed by Leinss (2014Leinss ( , 2016, the strong CPD decrease observed in 2015 and 2017 winters over shrubs areas could be ...
Context 3
... TWI variance analysis shows that there is no significant variance between Coltsfoot-Shrub classes and between LupineDryas classes, which could explain the strong decrease of the signal observed in mid-winter (Fig. 5). A high TWI indicates a high-water accumulation potential, hence a higher saturation of the soil. In the microwave range, soil saturation increases the dielectric properties of the soil. The sensitivity of the X-band radar signal is then higher, which allows the interface between the snowpack and the ground to be well discriminated. ...