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How to perform a long-time WRF simulation effectively?

xiao.zh

New member
Hi all,

I'm planning a long-term WRF simulation (about 20 years, 2000-2020) using six-hourly input data from ERA5. I am considering two options:
  1. Running annually with restart files.
  2. Running each year in parallel with additional spin-up time (e.g., 2 weeks).
Given that my input data remains consistent, if I choose option 2, will there be significant discrepancies compared to option 1? If so, can these discrepancies be reduced by using a longer spin-up period (e.g., 1 month, 2 months, or even 6 months)?

Thanks for your time and I look forward to any suggestions.

Best regards,
Xiao
 
Xiao,
The two approaches you proposed both are acceptable. However, the results could be quite different and such differences cannot be reduced by increasing the spin-up time. This is because there exists an essential difference between the two options: for option 1, the result is more derived from WRF physics/dynamics, while for option 2, with annual initialization the results are more like a mixing of large-scale forcing and WRF physics/dynamics.
 
Xiao,
The two approaches you proposed both are acceptable. However, the results could be quite different and such differences cannot be reduced by increasing the spin-up time. This is because there exists an essential difference between the two options: for option 1, the result is more derived from WRF physics/dynamics, while for option 2, with annual initialization the results are more like a mixing of large-scale forcing and WRF physics/dynamics.
Hi @Ming Chen,

I am running regional climate simulations. I get 12.5 years, and the first 2.5 years are treated as spinup. But I am not sure whether the first 2.5 years are enough to make the water balance. Because I also analyze the outputed soil moisture. I wonder whether we have some methods to assess the spinup time.

I am looking forward to your earlier reply. Many thanks!
 
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