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Snow cover trend analysis using Interactive Multisensor Snow and Ice Mapping System data over Turkey

机译:使用交互式多传感器冰雪地图系统数据在土耳其进行积雪趋势分析

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摘要

The daily snow cover data from Interactive Multisensor Snow and Ice Mapping System (IMS) by National Oceanic and Atmospheric Administration's National Environmental Satellite Data and Information Service (NOAA/NESDIS) covering the 2004-2012 time period is used in this study. In the first part of the study, daily IMS product is validated over Turkey using daily ground truth snow depth measurements from 219 climatological and synoptic sites. The categorical statistics of probability of detection (POD) and false alarm rates (FAR) are provided both for whole Turkey and with respect to geographical sub-regions. The overall POD and FAR amounts for Turkey are obtained as 73.55 and 25.11%, respectively. The performed analysis indicates an increase in IMS accuracies as the snowpack depth at the stations increase. In the second part of the study, the nonparametric Mann-Kendall test is performed to analyse the snow cover trend over Turkey with respect to sub-regions considering the whole year and each season separately. A negative trend in snow-covered area percentage is obtained for Turkey at the significance level of α =0.05. From the seasonal perspective for Turkey, negative trend for spring and summer seasons, positive trend for autumn season and combination of negative and no trend for winter season are obtained at the same significance level. Almost the same results are valid for the sub-regions with some local and seasonal variations.
机译:本研究使用了由美国国家海洋和大气管理局的国家环境卫星数据和信息服务(NOAA / NESDIS)提供的交互式多传感器冰雪制图系统(IMS)覆盖的2004-2012年期间的每日积雪数据。在研究的第一部分中,使用来自219个气候和天气站点的每日地面真实积雪深度测量值,对土耳其的每日IMS产品进行了验证。提供了整个土耳其以及各个地理区域的分类概率统计(POD)和误报率(FAR)。土耳其的POD和FAR总量分别为73.55%和25.11%。进行的分析表明,随着测站雪堆深度的增加,IMS精度也会提高。在研究的第二部分中,进行了非参数Mann-Kendall检验,以分别考虑全年和每个季节来分析次区域相对于土耳其的积雪趋势。在土耳其的显着性水平为α= 0.05时,积雪面积百分比呈负趋势。从土耳其的季节性角度来看,在相同的显着性水平下,获得了春季和夏季的负趋势,秋季的正趋势以及冬季的负趋势和无趋势的组合。对于具有局部和季节性变化的次区域,几乎相同的结果是有效的。

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