Computes a zonal mean meridional stream function.
function zonal_mpsi ( v : numeric, lat [*] : numeric, p [*] : numeric, ps : numeric ) return_val [(time),lev,lat] : numeric
A multi-dimensional array of meridional wind values in which the rightmost three dimensions must be level, latitude, longitude e.g. [v(lev,lat,lon), v(time,lev,lat,lon)]. Units must be m/s. The level dimension must be ordered top-to-bottom.lat
A one-dimensional array of latitudes. The size must be the same as the corresponding dimension of v.p
A one-dimensional array of pressure level values ordered top-to-bottom. The size must be the same as the corresponding dimension of v. The units must be in Pa. The first value must be greater than 500 Pa (5mb), and the last value must be less than 100500 Pa (1005mb). (e.e. 500 < p(0) < p(1) < ... < 100500.)ps
A multi-dimensional numeric array of surface pressures. The size must be the same as the corresponding dimensions of v. Usually ps corresponds with v in all but the level dimension. Units must be Pa.
A multi-dimensional numeric array in which the rightmost two dimensions are level and latitude. The level dimension is ordered top-to-bottom. Missing values (return_val@_FillValue) are assigned to where v occurs below ground. Units are kg/s.
Computes a zonal mean meridional stream function using a modified definition of the CESM Processor zonal mean meridional stream function. The modified definition used is given by:
/ PS | 2 pi a cos(lat) | ZONAL_MPSI(lev,lat) = --------------- | V(lev,lat) dp g | | / pwhere V is the zonal mean meridional wind (calculated internally using the input variable v), p pressure, PS surface pressure, a the radius of the earth, and g the acceleration of gravity.
Buja, L. E. (1994) CCM Processor User's Guide(Unicos Version). NCAR Technical Note NCAR/TN-384+IA, pages B-17 to B-18.
Use zonal_mpsi_Wrap if retention of metadata is desired.
Let v be an array with dimension lev, lat, and lon. lat and p are one-dimensional arrays with dimensions lat and lev respectively. ps is a two-dimensional array with dimensions lat and lon. The level dimensions of p and v are ordered top-to-bottom (i.e. p(0) < p(1) < p(2) ...). The units of p and ps must be Pascals. (If they are millibars, multiply by 100.)
zmpsi = zonal_mpsi(v,lat,p,ps) ; returns zmpsi(klev,nlat)
if v has coordinate variables and they are in the correct order, then the one-dimensional coordinate arrays associated with v can be accessed directly using the & operator:
zmpsi = zonal_mpsi(v,v&lat,v&lev,ps)
if v has coordinate variables but they are in the incorrect order (e.g. bottom-to-top), then they can be accessed directly and reordered within the function call:
zmpsi = zonal_mpsi(v(::-1,:,:),v&lat,v&lev(::-1),ps)Example 2
Now v has a time dimension. All other variables are the same as example 1.
zmpsi = zonal_mpsi(v,lat,p,ps) ; returns zmpsi(ntim,klev,nlat)Example 3
Here the v and p are ordered bottom-to-top and require reordering. Additionally, p and ps are in mb and must be converted to Pa.
vt2b = v(:,::-1,:,:) ; reverse the "lev" order to top-to-bottom pPa = p(::-1)*100. ; reverse and make Pa psPa = ps*100. ; make Pa zmpsi = zonal_mpsi(vt2b,lat,pPa,psPa) ; zmpsi(ntim,klev,nlat)
Alternatively, the required conversions could be invoked directly in the function.
zmpsi = zonal_mpsi(v(:,::-1,:,:),lat,p(::-1)*100.,ps*100.)Example 4
The level dimension of v is in hybrid coordinates and must be converted to pressure coordinates before calling zonal_mpsi. The order of the level dimension is correct.
; vinth2p requires the lev_p to be expressed in mb [hPa] lev_p = (/ 10, 20, 30, 50, 70,100,150,200,250 , 300,400,500,600,700,850,925,1000 /) lev_p!0 = "lev_p" ; variable/dim name lev_p&lev_p = lev_p ; create coordinate variable lev_p@long_name = "pressure" ; attach some attributes lev_p@units = "hPa" lev_p@positive = "down" hyam = f->hyam ; read from file hybm = f->hybm P0mb = f->P0*0.01 ps = f->ps ; these are in Pa v = f->V ; convert to pressure levels vp = vinth2p(v,hyam,hybm,lev_p,ps,intyp,P0mb,1,False) ; calculate zonal meridional streamfunction zmpsi = zonal_mpsi(vp,lat,lev_p*100.,ps)