Hi all,
I am running the WRF-Noah MP model in East Asia during 2021.6-2021.8 without any errors reported. However, I found some strange things in my wrf.output files:
(1) Strange time dimension. Generally, my daily wrfout files have a dimension of 159*159*1 (My study area covers 159 grid cells). But an unusual length of time dimension (i.e., 159*159*59) occurred for specific dates (e.g., output on 12th July and others), with the size of the output file (~9 Mb) almost twice of previous outputs (~5 Mb). I checked that file and found the values of the dimension 2-59 are invalid, I only need the 1st-order results (159*159*1).
(2) Lower results. Since the WRF model is forced using ERA5 single level and pressure level data, I compared the WRF-based soil moisture and skin temperature with raw ERA5 results. I found a consistent underestimation existing in WRF results, which is forced by ERA5. I know errors are very common in such simulations, but I am not sure if this phenomenon is reasonable. Please see the figures below:


(3) The deep soil moisture (variable: SMCWTD) modeled by Noah MP is always zeros on all days during the 3-month simulation in summer. Is it normal? How to see it?
Could you please give me some suggestions about how to solve/explain these issues? Any feedback would be deeply appreciated.
The namelist.wps and namelist.input files are attached.
Best,
Jinghua
I am running the WRF-Noah MP model in East Asia during 2021.6-2021.8 without any errors reported. However, I found some strange things in my wrf.output files:
(1) Strange time dimension. Generally, my daily wrfout files have a dimension of 159*159*1 (My study area covers 159 grid cells). But an unusual length of time dimension (i.e., 159*159*59) occurred for specific dates (e.g., output on 12th July and others), with the size of the output file (~9 Mb) almost twice of previous outputs (~5 Mb). I checked that file and found the values of the dimension 2-59 are invalid, I only need the 1st-order results (159*159*1).
(2) Lower results. Since the WRF model is forced using ERA5 single level and pressure level data, I compared the WRF-based soil moisture and skin temperature with raw ERA5 results. I found a consistent underestimation existing in WRF results, which is forced by ERA5. I know errors are very common in such simulations, but I am not sure if this phenomenon is reasonable. Please see the figures below:


(3) The deep soil moisture (variable: SMCWTD) modeled by Noah MP is always zeros on all days during the 3-month simulation in summer. Is it normal? How to see it?
Could you please give me some suggestions about how to solve/explain these issues? Any feedback would be deeply appreciated.
The namelist.wps and namelist.input files are attached.
Best,
Jinghua