The differences between continuous run and long run consist of several reinitialized runs

[Mey]

Hi All,
I am planning to use WRF to downscale ERA5 for a long time(probably ten years or longer). I have read some papers related to downscaling long term data. I found many of them choose to conduct a continuous run to get a multiyear-long downscaled data. However, one of them used a re-initialization forcing strategy to generate, arguing that this strategy avoids the model from deviating too far from the forcing data and provides computational flexibility since daily runs are totally independent of each other and can be computed in parallel and in any sequence. I'm more inclined to make a re-initialized run for its computational flexibility, but I am not sure If this would lead to a discontinuous data from a climatological perspective or other potential risks.
The attachments include two papers, of which one is an example for the continuous run and the other for the reinitialized run. As one of the file is too large to upload, I only attach part of the paper.
Thank you for your attention to this matter. Any suggestion is welcome!

 

[Ming Chen]

Mey,
The 'continuous' run and the 'reinitialization' run are two approaches people use to conduct climate simulation. Both are acceptable, although their results could be quite different. In the late 1980s to 1990s, many papers used the 2nd approach for regional climate simulation and downscaling. Linda Mearns and some other scientists are distinguished scholars in this field. You can find quite a few publications here.
Hope this is helpful for you.

 

[Mey]

Thank you very much!