Long term spatio-temporal analyses of snow cover in Central Asia using ERA-Interim and MODIS products

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

In this study, an approach for generating a long term series of snow-cover products from 1979 to 2015 was proposed by integrating the data of ERA-Interim snow-depth and 8-day cloud-free MODIS snow-cover derived by removing cloud from MOD10A2/MYD10A2 product. On the basis of the spatio-temporal analyses and evaluation of snow-cover duration (SCD) during the hydrological year from 1979/1980 to 2014/2015 over Central Asia, the average start and melt date of snow-cover (SCS and SCM, respectively) were estimated using the long term snow-cover product. The results suggested that the snow-cover product derived by this approach is fairly satisfactory with the mean bias error (MBE) of -.55%5.03%. The SCD, SCS and SCM all presented an apparent north-south towards gradient as long as mountainous regions and waterbodies were avoided. The mean SCD over the high-latitude and high-mountainous regions were all beyond 122 days, however, it gradually became shorter with a significant level of a < 0.05 or even a < 0.001 from 1979/1980 to 2014/2015. In contrast, the SCD over low-latitude and low-altitude regions, like Turkmenistan and Uzbekistan, were evidently shorter than the former, but it became significantly longer with a significant level of a < 0.05 or even a < 0.001 in the southwestern, northern Turkmenistan and most of Uzbekistan in the same duration. Notably, most of Turkmenistan and Uzbekistan, where snow-cover usually appeared late and melting out early, even always stay snow-free throughout the year.

Cite

CITATION STYLE

APA

Liu, J. P., & Zhang, W. C. (2017). Long term spatio-temporal analyses of snow cover in Central Asia using ERA-Interim and MODIS products. In IOP Conference Series: Earth and Environmental Science (Vol. 57). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/57/1/012033

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free