Potentials of MODIS Snow Products as a Land Surface Monitoring Tool in the Korean Peninsula

Authors: Sunyurp PARK*, Pusan National University, Jinmu CHOI, Kyung Hee University
Topics: Remote Sensing, Climatology and Meteorology, Asia
Keywords: MODIS, snow cover, Korean Peninsula, Terra, Aqua
Session Type: Paper
Day: 4/6/2020
Start / End Time: 9:35 AM / 10:50 AM
Room: Beverly, Sheraton, IM Pei Tower, Terrace Level
Presentation File: No File Uploaded


This study summarizes historical records of Moderate Resolution Imaging Spectroradiometer (MODIS) snow products (2000~2018) and comparatively evaluates their suitability as a land surface monitoring tool using ground snowfall and snow depth measurements over the Korean Peninsula. Although both Terra and Aqua snow cover data had strong correlations with the ground measurements, Terra data showed more significant relationships with them. Spatial correlation analyses revealed that the MODIS snow cover responded sensitively to places where snow depth was shallower, but their geographical sensitivity decreased as local snow depth increase. It seems that satellite-measured snow cover responses to snow depth in a linear fashion until snow accumulation reaches a certain threshold level, and it does not increase much even if snow packs become thicker. Study results indicated that snowfall, snow cover, and snow-to-precipitation (S/P) ratio might have potentials as meaningful indicators for land surface conditions. Knowing that snowfall increased with decreasing air temperature, seasonal snowfall would be negatively correlated with humidity levels. Since precipitation typically decreases as it becomes colder, more snowfall is not necessarily associated with wetter surface conditions in the study area. Although MODIS snow cover products reasonably supplemented insufficient ground snowfall observations, the MODIS snow data set tended to overestimate snow cover and was prone to commission errors. Cloud-snow confusion has been reduced, but its improvement is not consistent, depending on atmospheric conditions, cloud types, and land cover.

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