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Rainfall highly overestimation over Africa

Dear concern,

I get (800 mm/day) highly overestimated rainfall (compared to observation) over the middle part of Africa for domain that covers Africa, Asia and Australia (picture attached) using a local assimilated GFS dataset. But I am getting same overestimation using raw NCEP GFS (0.25x0.25) dataset. I tried to find the reason by selecting a domain that only covers only Africa. I have also checked by changing mp_physics 1,3,6 for different IC & BC. But, nothing solves the issue. Required things are attached.

Why does it happen? What can i do to solve this issue?

Thanks in advance.
Rabbani
 

Attachments

  • namelist.wps
    1.4 KB · Views: 3
  • namelist.input
    4.2 KB · Views: 7
  • observation_satellite.png
    observation_satellite.png
    286.8 KB · Views: 0
  • NCEP_GFS_6h2.png
    NCEP_GFS_6h2.png
    554 KB · Views: 0
  • NCEP_GFS_6h1.png
    NCEP_GFS_6h1.png
    580.1 KB · Views: 0
  • gfs_apcpn24_safr_3.png
    gfs_apcpn24_safr_3.png
    108.6 KB · Views: 0
  • gfs_apcpn24_nafr_3.png
    gfs_apcpn24_nafr_3.png
    98.7 KB · Views: 0
  • assimilated_gfs2.png
    assimilated_gfs2.png
    806.9 KB · Views: 0
  • assimilated_gfs1.png
    assimilated_gfs1.png
    847.8 KB · Views: 0
Rabbani,
I have a few concerns of your namelist.input options:
(1) the time step of 30 is too small for 9km resolution.
(2) sf_surface_physics =0 is not a reasonable option. Please specify the surface scheme for your case.
(3) radt = 4 should be changed to radt =9
(4) please try the following options:
mp_physics = 8,
ra_lw_physics =4,
ra_sw_physics = 4,
 
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