Hİ,
I'm using GFS 0.25 data, I ran it with 0.25 degrees, no problem. I got this problem when I run it with 01, adap. I applied time step and could not solve the problem. from the first my area was large. It was a larger longitude (except almost all of Europe-Turkiye) rectangle covering latitudes 25-65. I reduced the field to adriatic to see if maybe the overly variable dx length is causing the problem. but I guess that's not the problem. why is it like this, is conus causing a problem? And as additional information; 20230803 op. If I start the model with the data on the 3rd or 4th of the month, the model explodes at noon on the 4th. so the problem seems to be different from swelling/filling. I'm confused.
namelist.input ; "namelist.input"
debug100 = "Screenshot from 2023-08-05 20-10-02.png"
debug50 = "Screenshot from 2023-08-05 20-25-43.png"
have a nice day.
I'm using GFS 0.25 data, I ran it with 0.25 degrees, no problem. I got this problem when I run it with 01, adap. I applied time step and could not solve the problem. from the first my area was large. It was a larger longitude (except almost all of Europe-Turkiye) rectangle covering latitudes 25-65. I reduced the field to adriatic to see if maybe the overly variable dx length is causing the problem. but I guess that's not the problem. why is it like this, is conus causing a problem? And as additional information; 20230803 op. If I start the model with the data on the 3rd or 4th of the month, the model explodes at noon on the 4th. so the problem seems to be different from swelling/filling. I'm confused.
namelist.input ; "namelist.input"
debug100 = "Screenshot from 2023-08-05 20-10-02.png"
debug50 = "Screenshot from 2023-08-05 20-25-43.png"
have a nice day.