Monthly daily maximum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2016

Mean daily maximum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily maximum temperature for each month as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.

本数据集收录了1970年至2016年间澳大利亚大陆各月的日均最高气温。日均气温不仅调控植物生长速率，同时决定了开花、结果阶段的霜冻等临界环境条件。本研究以格点化的1976-2005年各月日均最高气温平均值（由ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005提供）为基准，将各月气温数值表示为距平差值以构建分析模型。随后，借助ANUSPLIN 4.5版本软件，通过经度、纬度及垂直拉伸高程的三元薄盘平滑样条函数，对月度距平数据进行空间插值。月度数据值源自澳大利亚气象局（Bureau of Meteorology）台站的每日气温观测数据，台站需至少包含25天的有效观测记录；1970年至2016年间，各月平均有效数据点数量为634个。自动质量评估流程会平均每月剔除约2个存在极端学生化残差的数据点。本次样条分析得到的所有交叉验证残差的均方根值为0.73摄氏度。目前，关于本次插值分析的全面评估，以及影响最终插值格点质量的相关因素的研究工作正在筹备中。