GFS saSAS Shallow Convection Module

This subroutine contains the entirety of the SAMF shallow convection scheme.This routine follows the GFS saSAS Deep Convection Module quite closely, although it can be interpreted as only having the "static" and "feedback" control portions, since the "dynamic" control is not necessary to find the cloud base mass flux. The algorithm is simplified from SAMF deep convection by excluding convective downdrafts and being confined to operate below \(p=0.7p_{sfc}\). Also, entrainment is both simpler and stronger in magnitude compared to the deep scheme. More...

Functions/Subroutines
subroutine, public	progomega::progomega_calc (first_time_step, flag_restart, im, km, kbcon1, ktcon, omegain, delt, del, zi, cnvflg, omegaout, grav, buo, drag, wush, tentr, bb1, bb2)
	This subroutine computes a prognostic updraft vertical velocity used in the closure computations in the samfdeepcnv.f and cu_c3_conv.f scheme This subroutine computes a prognostic updraft vertical velocity used in the closure computations in the samfshalcnv. and cu_c3_shal scheme.
subroutine	samfshalcnv::samfshalcnv_run (im, km, itc, ntc, cliq, cp, cvap, eps, epsm1, fv, grav, hvap, rd, rv, t0c, delt, ntk, ntr, delp, first_time_step, restart, tmf, qmicro, progsigma, progomega, prslp, psp, phil, tkeh, qtr, prevsq, q, q1, t1, u1, v1, fscav, rn, kbot, ktop, kcnv, islimsk, garea, dot, ncloud, hpbl, ud_mf, dt_mf, cnvw, cnvc, clam, c0s, c1, evef, pgcon, asolfac, hwrf_samfshal, sigmain, sigmaout, omegain, omegaout, betadcu, betamcu, betascu, errmsg, errflg)

Detailed Description

Argument Table

GFS samfshalcnv General Algorithm

1. Compute preliminary quantities needed for the static and feedback control portions of the algorithm.
2. Perform calculations related to the updraft of the entraining/detraining cloud model ("static control").
3. The cloud base mass flux is obtained using the cumulus updraft velocity averaged ove the whole cloud depth.
4. Calculate the tendencies of the state variables (per unit cloud base mass flux) and the cloud base mass flux.
5. For the "feedback control", calculate updated values of the state variables by multiplying the cloud base mass flux and the tendencies calculated per unit cloud base mass flux from the static control.

GFS samfshalcnv Detailed Algorithm