DS10: Hawaiian Islands air temperature: Full set of regression models evaluated for mean Tmax, Tmin, Tavg, DTR

Full set of all regression models and fitted coefficients evaluated for mean daily Tmax, Tmin, Tavg, and DTR. Models are ranked by decreasing AICc and were fit using station mean annual values from the 2006-2017 period. Latitude and longitude were excluded from the final model set as they were inconsistent predictors of Tmax, Tmin, Tavg, and DTR, and, when included, obscured interpretation of the fitted model coefficients. Highlighted rows indicate models corresponding to best multiple regression model form after accounting for multicollinearity based on a variance inflation factor < 5. Other highlighted model forms include segmented linear regression of temperature as a function of elevation with a 2150 m breakpoint (Model #129) and simple linear regression of temperature as a function of elevation (Model #1).

本数据集包含所有回归模型及其拟合系数，这些模型针对平均每日最高气温（Tmax）、最低气温（Tmin）、平均气温（Tavg）和昼夜温差（DTR）进行了评估。模型按照递减的AICc值进行排序，并使用2006-2017期间的站均年值进行拟合。纬度和经度被排除在最终的模型集中，因为它们不是Tmax、Tmin、Tavg和DTR的一致预测因子，且在包含时，会掩盖拟合模型系数的解释。突出显示的行表示在考虑方差膨胀因子小于5的多重共线性后，对应最佳多重回归模型形式的模型。其他突出显示的模型形式包括将气温作为海拔高度的函数的分割线性回归（模型编号#129）以及将气温作为海拔高度的函数的简单线性回归（模型编号#1）。