When using the 3DVAR for data assimilation, it is necessary to use error covariance to determine the contribution of background field and observation. Among them, the background field error covariance depends not only on the atmospheric prediction model (such as resolution, parameterization scheme, etc.), but also on the simulation area. Based on the Weather Forecast and Research (WRF) model, this data is estimated by NMC method through the simulation of the Central Asian Great Lakes region (27 km horizontal resolution) in 2017. The variables include stream function, velocity potential function, temperature, relative humidity and surface pressure. This data can be applied to the study and application of data assimilation in the Central Asia Great Lakes region based on WRF model.

File naming and required software

This binary format data that can be used directly in WRF model. The file name is“ be.dat ”。
When 3D variational assimilation is carried out based on this data and WRF model, the settings of the model region and horizontal resolution should be consistent with those in this data.
The specific settings include: the horizontal resolution is 27 km, the grid number in the east-west direction is 151, the grid number in the north-south direction is 142, the projection mode is Lambert projection, and the regional center point is (41.4N, 69.0E).

Data Citations Data citation guideline What's data citation?

Cite as:

Yao, Y. (2020). Background field error covariance data for data assimilation in the Great Lakes region of Central Asia (1979-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271010. CSTR: 18406.11.Meteoro.tpdc.271010. (Download the reference： RIS | Bibtex )

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

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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