HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003–2020

The 1 km High-resolution Atmospheric Moisture Index Collection over China (HiMIC-Monthly) includes 6 commonly used near-surface atmospheric moisture indices: relative humidity (RH, %), actual vapor pressure (AVP, hPa), vapor pressure deficit (VPD, hPa), dew point temperature (DPT, °C), mixing ratio (MR, g/kg), and specific humidity (SH, g/kg). This dataset has a high spatial resolution of 1 km × 1 km and covers mainland China from January 2003 to December 2020. The overall R-square for all six indices exceeding 0.96 and root mean square error and mean absolute error values falling within a reasonable range. It is stacked by year, and each stack is composed of 12 monthly images in the NetCDF or GeoTIFF format. All moisture values are stored in an integer type (Int16) for saving storage space, and need to be divided by 100 to get the values in %, hPa, hPa, °C, g/kg, g/kg for RH, AVP, VPD, DPT, MR, and SH, respectively, when in use. The projection coordinate system of the dataset is Albers Equal Area Conic Projection. The naming rule and other detailed information can be found in “README.pdf”.

If you have any questions when using the HiMIC-Monthly dataset, please feel free to contact Miss Hui Zhang via zhangh573@mail2.sysu.edu.cn or Dr. Ming Luo via luom38@mail.sysu.edu.cn. More details on the procedure of producing the HiMIC-Monthly dataset and its accuracy assessment can be found in:

Hui Zhang, Ming Luo, Wenfeng Zhan, & Yongquan Zhao. HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003–2020. Sci Data 11, 425 (2024). https://doi.org/10.1038/s41597-024-03230-2