Abnormal latent heat values

[Tony]

Dear Forum,

I run a simulation with CMIP6 data (Bias-corrected CMIP6 global dataset for dynamical downscaling of the Earth’s historical and future climate (1979–2100)) and LCZ land cover data. The Noah LSM and BEM/BEP are used.

In the results, I found abnormal latent heat values for both urban grid and natural grid. the latent heat values are too small compared to sensible heat. I do not know if it is normal? if not, is it caused by the driving data or surface physics?

The vegetation fraction (GREENFRC) of these two grid shown here is about 75%(Natural grid) and 15%(Urban grid). after looking at the soil moisture (at first layer), I found the soil is drying with time, is this normal?

 

[Ming Chen]

Would you please upload your namelist.input for me to take a look? Also, which version of WRF did you use to run this case?
Where is your model domain? Would you please also overlap time series of precipitation at the urban and forest points you showed in the previous post?
This is more like a physics issue, although I don't know yet what could be the possible reason behind.

 

[Tony]

Hi Ming,

Thanks for your reply. the WRF version is 4.5. here I attached the namelist file. the precipitation (houly RAINC) is updated using the black line in the previous post. the domain is over Europe at a coase resolution at 20km. Is it because the spatial resolution?

 

[Tony]

Would you please upload your namelist.input for me to take a look? Also, which version of WRF did you use to run this case?
Where is your model domain? Would you please also overlap time series of precipitation at the urban and forest points you showed in the previous post?
This is more like a physics issue, although I don't know yet what could be the possible reason behind.

Here is the namelist file

 

[Tony]

Would you please upload your namelist.input for me to take a look? Also, which version of WRF did you use to run this case?
Where is your model domain? Would you please also overlap time series of precipitation at the urban and forest points you showed in the previous post?
This is more like a physics issue, although I don't know yet what could be the possible reason behind.

An update. I also run a simulation with ERA5 reanalysis data with the same physical setting and found the latent heat values seem to be reasonable, as shown here. One difference between these two driving data is that the CMIP6 data only have monthly soil moisture data, will this has a large impact on the result?

 

[Tony]

Comparing the two case (ERA5 and CMIP6), I think maybe it because the soil moisture is much drier in the CMIP6 case (<0.10 in #1) than ERA5 (>0.26 in # 5)?

My simulation period is from May, 25 to September, 03. The CMIP6 only have monthly soil moisture, this may explain in the beginning of the plots in the #1 post, the soil moisture is near 0. Then, the soil moisture is updated in the first day of June, it shows a rapid increase. Thats my guess.