Alphabetical Listing of GrADS Functions
aave()      
Calculates an areal average over an X-Y region (latitude-weighted)
abs()       
Returns the absolute value
acos()      
Calculates the inverse cosine
amean()     
Calculates
an areal average over an X-Y region (not latitude-weighted)
asin()      
Calculates the inverse sine
asum()      
Calculates the sum over an X-Y region (grid weighted)
asumg()     
Calculates
the sum over an X-Y region (not grid weighted)
atan2()     
Calculates
the inverse tangent
ave()       
Calculates an average over any dimension
cdiff()     
Performs
a centered difference operation
coll2gr()   
Creates
a grid from a collection of station data
const()     
Changes
missing or non-missing values
cos()       
Calculates the cosine
exp()       
Calculates the exponential
fndlvl()    
Finds
the vertical level at which a given value occurs in a variable
gint()      
General integral
gr2stn()    
Grid-to-station
interpolator
gsfallow()  
Enables the dynamic loading of script functions
gsfpath()   
Specifies the private path directory list where script functions are located
hcurl()     
Calculates
the vertical component of the curl
hdivg()     
Calculates
the horizontal divergence using finite differencing
log()       
Calculates the natural logarithm
log10()     
Calculates
the logarithm base 10
mag()       
Calculates the wind speed given u,v components
maskout()   
Sets certain
data values to missing
max()       
Returns the maximum value over a given grid dimension
maxloc()    
Returns
the grid location of the maximum value
mean()      
Calculates an average over any dimension (not latitude weighted)
min()       
Returns the minimum value over a given grid dimension
minloc()    
Returns
grid location of the minimum value
oabin()     
Bins
station observations into grid cells
oacres()    
Returns
a gridded result that represents station data
pow()       
Raises the values of arg1
to the power of arg2
scorr()     
Calculates
the spatial correlation over an X-Y domain
sin()       
Calculates the sine
skip()      
Sets alternating data values to missing
smth9()     
Performs
a 9 point smoothing operation on gridded data
sqrt()      
Calculates the square root
sregr()     
Calculates
the linear least-squares regression over an X-Y domain
stnave()    
Calculates
a time average of station data
stnmin()    
Returns
the minimum value over a time series of station data
stnmax()    
Returns
the maximum value over a time series of station data
sum()       
Calculates the sum over any dimension (grid weighted)
sumg()      
Calculates the sum over any dimension (not grid weighted)
tan()       
Calculates the tangent
tcorr()     
Produces
a spatial map of temporal correlation coefficients
tloop()     
Reconstructs
a time series after doing calculations at fixed times
tmave()     
Calculates
a time averag while applying a mask
tregr()     
Calculates
the least-squares regression over the time domain
tvrh2q()    
Calculates
specific humidity given virtual temperature and relative humidity
tvrh2t()    
Calculates
temperature given virtual temperature and relative humidity
vint()      
Calculates a mass-weighted vertical integral in mb pressure coordinates