Daily downscaled PRISM data (tmin and tmax) from monthly data for 1961-1990

This data set is associated with the study "DDRP: real-time phenology and climatic suitability modeling of invasive insects" by Barker et al. (2020). We temporally downscaled monthly PRISM estimates for 1961‒1990 because DDRP requires daily data and PRISM daily temperature data for years prior to 1980 are not available. For each month of a given year, a bilinear interpolation method was used to assign each day an average temperature value that was iteratively smoothed and then adjusted so that the monthly averages were correct. Code for this analysis was written partially in Perl and partially in Octave, and is available at https://github.com/bbarker505/dailynorms. We temporally downscaled monthly PRISM estimates for 1961‒1990 because DDRP requires daily data and PRISM daily temperature data for years prior to 1980 are not available. For each month of a given year, a bilinear interpolation method was used to assign each day an average temperature value that was iteratively smoothed and then adjusted so that the monthly averages were correct. Code for this analysis was written partially in Perl and partially in Octave, and is available at https://github.com/bbarker505/dailynorms and https://doi.org/10.5281/zenodo.3601671.

本数据集关联Barker等人2020年发表的研究《DDRP：入侵昆虫的物候与气候适宜性实时建模》。
我们对1961–1990年的月度PRISM估算结果开展了时间降尺度处理，原因在于DDRP模型需要逐日气象数据，而1980年之前的PRISM逐日气温数据无法获取。针对给定年份的每个月份，我们采用双线性插值法为每日赋予平均气温值，随后对该值进行迭代平滑处理并加以调整，以确保月度平均气温与原始估算结果一致。
本分析的代码部分采用Perl语言编写，部分使用Octave语言编写，相关代码可在https://github.com/bbarker505/dailynorms 获取。
我们对1961–1990年的月度PRISM估算结果开展了时间降尺度处理，原因在于DDRP模型需要逐日气象数据，而1980年之前的PRISM逐日气温数据无法获取。针对给定年份的每个月份，我们采用双线性插值法为每日赋予平均气温值，随后对该值进行迭代平滑处理并加以调整，以确保月度平均气温与原始估算结果一致。
本分析的代码部分采用Perl语言编写，部分使用Octave语言编写，相关代码可通过https://github.com/bbarker505/dailynorms 以及https://doi.org/10.5281/zenodo.3601671 获取。