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Multi-Source Based Spatio-Temporal Distribution of Snow in a Semi-Arid Headwater Catchment of Northern Mongolia.

Authors :
Munkhjargal, Munkhdavaa
Groos, Simon
Pan, Caleb G.
Yadamsuren, Gansukh
Yamkin, Jambaljav
Menzel, Lucas
Source :
Geosciences (2076-3263). Jan2019, Vol. 9 Issue 1, p53-1. 1p.
Publication Year :
2019

Abstract

Knowledge of the duration and distribution of seasonal snow cover is important for understanding the hydrologic regime in mountainous regions within semi-arid climates. In the headwater of the semi-arid Sugnugur catchment (in the Khentii Mountains, northern Mongolia), a spatial analysis of seasonal snow cover duration (SCD) was performed on a 30 m spatial resolution by integrating the spatial resolution of Landsat-7, Landsat-8, and Sentinel-2A images with the daily temporal resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) snow products (2000–2017). Validation was achieved using in situ time series measurements from winter field campaigns and distributed surface temperature loggers. We found a mean increase of SCD with altitude at approximately +6 days/100 m. However, we found no altitude-dependent changes in snow depth during field campaigns. The southern exposed valley slopes are either snow free or covered by intermittent snow throughout the winter months due to high sublimation rates and prevailing wind. The estimated mean SCD ranges from 124 days in the lower parts of the catchment to 226 days on the mountain peaks, with a mean underestimation of 12–13 days. Snow onset and melt dates exhibited large inter-annual variability, but no significant trend in the seasonal SCD was evident. This method can be applied to high-resolution snow mapping in similar mountainous regions. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*SNOW cover
*WATERSHEDS
*SNOWMELT

Details

Language :
English
ISSN :
20763263
Volume :
9
Issue :
1
Database :
Academic Search Index
Journal :
Geosciences (2076-3263)
Publication Type :
Academic Journal
Accession number :
134358209
Full Text :
https://doi.org/10.3390/geosciences9010053