Hi,
I'm interested in creating an ensemble of 21 members with same IC to study modification of PBL parameterization on cold front. May I know the appropriate way to carry out ensemble run in WRF-4.3.3? I have come across these cases,
1) Altering the wrfinput file: Adding +/- 1 SD of 3-hour mean of a variable (Temperature, U-wind, v-wind, Specific humidity, Pressure etc) as perturbation to the wrfinput file and run WRF
2) Altering the reanalysis dataset initially: Add same perturbation to dataset before starting WPS.
3) Using rand_perturb in namelist file.
(a) In (1) do I have to add the perturbation to all the domains of wrfinput or is it enough to add perturbation only in the innermost domain?
I think the first two cases have to give the same results but (1) most likely takes less time (no need to run WPS!!) for the 21 ensemble members run. Correct me if i'm wrong. How to perform the third case? Specifically how to add perturbation in terms of std deviation of field with rand_perturb?
Thank You in advance
I'm interested in creating an ensemble of 21 members with same IC to study modification of PBL parameterization on cold front. May I know the appropriate way to carry out ensemble run in WRF-4.3.3? I have come across these cases,
1) Altering the wrfinput file: Adding +/- 1 SD of 3-hour mean of a variable (Temperature, U-wind, v-wind, Specific humidity, Pressure etc) as perturbation to the wrfinput file and run WRF
2) Altering the reanalysis dataset initially: Add same perturbation to dataset before starting WPS.
3) Using rand_perturb in namelist file.
(a) In (1) do I have to add the perturbation to all the domains of wrfinput or is it enough to add perturbation only in the innermost domain?
I think the first two cases have to give the same results but (1) most likely takes less time (no need to run WPS!!) for the 21 ensemble members run. Correct me if i'm wrong. How to perform the third case? Specifically how to add perturbation in terms of std deviation of field with rand_perturb?
Thank You in advance
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