《Table 2 Correlation coefficients between snowfall and predictor variables》
![《Table 2 Correlation coefficients between snowfall and predictor variables》](http://bookimg.mtoou.info/tubiao/gif/GHKX201901002_17800.gif)
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《"Environmental factors influencing snowfall and snowfall prediction in the Tianshan Mountains, Northwest China"》
Note:RH,relative humidity;**,significant correlation at P<0.05 level.
A statistical description of snowfall and climatic,geographical and topographic variables during the model calibration and validation periods during 1960–2015 is presented in Table 1.Highly similar statistical results for each variable are shown.It is possible that there was no significant difference between the two groups(calibration and validation)of variables(P>0.05)based on the results of variance analysis(ANOVA).This similarity revealed that the validation dataset can be representative of the calibration dataset.The response variable,i.e.,snowfall,had higher standard deviation(SD)and coefficient of variation(CV)values,indicating a greater variability in snowfall over the year during both calibration and validation periods.The mean value of temperature was negative,resulting in a negative CV value.The CV value of temperature exhibited the strongest variation among variables.In comparison,relative humidity exhibited a moderate variation and geographical factors(longitude and latitude)showed a lower variation with CV values less than 7.00%.The CV values for other topographic properties ranged from54.85%to 162.53%in both datasets,indicating that topographic factors had a greater heterogeneity in the study area.
图表编号 | XD0031564800 严禁用于非法目的 |
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绘制时间 | 2019.02.01 |
作者 | ZHANG Xueting、LI Xuemei、LI Lanhai、ZHANG Shan、QIN Qirui |
绘制单位 | Faculty of Geomatics, Lanzhou Jiaotong University、Gansu Provincial Engineering Laboratory for National Geographic State Monitoring、Faculty of Geomatics, Lanzhou Jiaotong University、Gansu Provincial Engineering Laboratory for National Geographic State Moni |
更多格式 | 高清、无水印(增值服务) |
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