Meteorological elements of the dataset include the near-surface land-air exchange parameters, such as downward/upward longwave/shortwave radiation flux, momentum flux, sensible heat flux, latent heat flux, etc. In addition, the vertical distributions of 3-dimensional wind, temperature, humidity, and pressure from the surface to the tropopause are also included. Independent evaluations were conducted for the dataset by comparison between the observational data and the most recent ERA5 reanalysis data. The results demonstrate the accuracy and superiority of this dataset against reanalysis data, which provides great potential for future climate change research.

File naming and required software

File name: the data is stored in binary format, and the file name is "TPbigdata_yyyy-mm-dd.dat", where yyyy represents the year, mm represents the month, and dd represents the day.
Data reading method: All data share one data description file. Binary files in this dataset can be directly opened in Fortran. If you want to display them in a diagram, you can open them in GridS. The displayed grid file is the graphical representation of the binary file.

Data Citations Data citation guideline What's data citation?

Cite as:

Li, F., Ma, S., Zhu, J., Zou, H., Li, P., Zhou, L. (2022). A high-resolution dataset for lower atmospheric process studies over the Tibetan Plateau from 1981 to 2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272909. CSTR: 18406.11.Atmos.tpdc.272909. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Skamarock, W. C., et al. (2019). A Description of the Advanced Research WRF Model Version 4. NCAR Tech. Note NCAR/TN-475+STR 145.( View Details | Bibtex)

2. Hersbach, H., Dee, D. (2016). ERA5 reanalysis is in production. ECMWF newsletter, 147(7), 5-6.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)