Daymet North America Monthly Climate Variable Dataset (1980-2019)

This dataset includes the monthly observations of climate variables (i.e., precipitation, minimum and maximum temperature) with certain spatial resolutions (i.e., 5km $\times$ 5km, 10km $\times$ 10km, 20km $\times$ 20km grids). The time series spans over the past four decades from 1980 to 2019. We processed the original data and saved the data file of each year as .npz which is the compressed Python array. We used this dataset for large-scale seasonality quantification in climate systems. If you are interested, please check out: Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao (2025). Interpretable time series autoregression for periodicity quantification. arXiv preprint arXiv:2506.22895. Source: The dataset is adapted from Daymet in which the spatial resolution of original data is 1km $\times$ 1km across North America.