Daily maximum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014

Daily maximum temperature for the Australian continent between 1970-2014. Daily maximum temperature regulates rates of plant growth and crop yield. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily maximum temperatures as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 675 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 2.6 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 0.76 degrees Celsius and a root mean square value of 1.06 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily maximum temperature grids is in preparation.

本数据集包含1970年至2014年澳大利亚大陆的逐日最高气温数据。逐日最高气温对植物生长速率与作物产量具有调控作用。本数据集的建模方式为：将每日气温值与ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005提供的网格化1976-2005年月均逐日最高气温序列的差值距平进行表征。研究团队采用ANUSPLIN 4.5版本软件，基于经度、纬度及垂直放大高程的三元薄盘平滑样条函数，对逐日距平值完成空间插值。1970年至2014年间，每日平均可获取675条澳大利亚气象局（Bureau of Meteorology）的原始观测数据点。自动化质量评估环节每日平均剔除2.6条数据，此类数据普遍存在极端学生化残差，且多与缺失观测值的后续日期记录相关。所有经筛选保留的有效数据点的交叉验证残差平均绝对误差为0.76摄氏度，均方根误差为1.06摄氏度。针对本分析方法及影响最终插值逐日最高气温格网数据质量的各类因素的全面评估工作，目前正在筹备中。