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

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Liu, J.P.^1,2 ; Zhang, W.C.^1

Academy Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, CAS, Beijing

100094, China^1

University of Chinese Academy of Sciences, Beijing

100049, China^2

关键词: Hydrological years;    Long-term series;    Mean bias errors;    Mountainous regions;    Removing cloud;    Snow cover durations;    Snow-cover products;    Spatiotemporal analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012033/pdf
DOI  :  10.1088/1755-1315/57/1/012033

来源: IOP

【 摘 要 】

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