Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

1)Add changes of total cloud fraction for FV3 GFS; 2)Tweak DBZI. #142

Merged
merged 1 commit into from
Jun 19, 2020

Conversation

WenMeng-NOAA
Copy link
Collaborator

The main changes:
1)Add changes of total cloud fraction for FV3 GFS;
2)Tweak DBZI.

@WenMeng-NOAA WenMeng-NOAA requested a review from yangfanglin June 19, 2020 12:56
Copy link

@yangfanglin yangfanglin left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The changes look good. Since GFS predicts fractional cloudiness, it makes more since to directly use the model output instead of computing in the POST using a method that was designed for models with binary cloud covers.

@WenMeng-NOAA WenMeng-NOAA merged commit 35da4f5 into NOAA-EMC:release/gfs_v16 Jun 19, 2020
@yangfanglin
Copy link

yangfanglin commented Jun 19, 2020 via email

@yangfanglin
Copy link

yangfanglin commented Jun 19, 2020

To keep a record ....

Brad Ferrier developed a scheme to compute instantaneous Low/Mid/High cloud fractions in the POST for NAM. Because NAM only has binary cloud fraction (1 vs 0) at each model grid, he used the average over a few model grids over a 14 by 14-km box to compute "fractional" cloud covers.

Wen applied this method to compute instantaneous  L/M/H clouds for GFS.v16. It worked in the offline post; however, it caused the model to hang in the inline post. After long hours of debugging, Wen found an MPI gathering call in this section of code caused the model to hang. The computation needs points to cross the boundaries within each MPI task.

Unlike NAM, GFS produces true fractional clouds. We decided to not use the  complicated "NAM" approach, and instead directly use GFS predicted 3-D cloud fractions to derive instantaneous  L/M/H clouds in the post.  This "NAM" approach is nevertheless ad hoc  in nature since the corresponding L/M/H cloud-base pressures used in the post are point values instead of area averages.  ( PCLDBASE=PMID(I,J,L) !-- Using PCLDBASE variable for convenience).

@WenMeng-NOAA WenMeng-NOAA deleted the post_TCDC branch September 9, 2020 12:06
EricJames-NOAA pushed a commit to EricJames-NOAA/UPP that referenced this pull request Dec 14, 2022
EricJames-NOAA pushed a commit to EricJames-NOAA/UPP that referenced this pull request Dec 14, 2022
…C#142)

track UPP control and params(params_grib2_tbl_new) files
RTMA-related updates (sync rtma with latest RRFS_dev1, update convinfo.rtma, etc)
check the existence of ${FFG_DIR}/latest.FFG before continuing
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants