【摘要】 选取朔州市国家基本站2011—2019年逐日草温、气温、地温资料,采用气候统计诊断法、相关分析等,分析草温变化规律及其与气象因子间的关系。结果表明:草温、气温及地温的年振幅地温>草温>气温,季节振幅春季地温>草温>气温,夏、秋和冬季草温>地温>气温,草温和气温(地温)间存在显著的正相关关系,相关系数为0.994(0.992),通过了99%的极显著性水平检验。更多还原

【Abstract】 In this paper, the daily grass temperature, air temperature and ground temperature data of Shuozhou National basic station from 2011 to 2019 were selected to analyze the change law of grass temperature and its relationship with meteorological factors by climate statistical diagnosis method and correlation analysis. Results showed that the temperature, air temperature and ground temperature in the amplitude of geothermal temperature > temperature >grass, spring season amplitude geothermal temperature > temperature > grass, summer,autumn and winter grass warm temperature > ground temperature > temperature. There was significant positive correlation between grass temperature and temperature(ground temperature). The correlation coefficient was 0.994(0.992), through the extremely significant level of 99% inspection.更多还原