Hi Juliet,Since anomaly is the variable you want to plot, There should be space between plot and anomalylike this:plot anomaly[x=...,y=...]Cheers--On Mon, Nov 30, 2015 at 4:33 PM, afwande juliet <afwandej965@xxxxxxxxx> wrote:Dear users,I have GPCP.nc data for 44years. I have used seasonal mask to create data precip_MAM_mean.nc that has only 30yrs data for MAM season only.Now I want to plot the timeseries anomaly for this data as below but get the error. Can someone help point out difference . I have tried to follow this example http://www.pmel.noaa.gov/maillists/tmap/ferret_users/fu_99/msg00291.htmlbut not able.
[anyuola@login01 validation]$ ferret
NOAA/PMEL TMAP
FERRET v6.93
Linux 2.6.32-504.el6.x86_64 64-bit - 11/13/14
1-Dec-15 00:14yes? use precip_MAM_mean.nc
yes? show data grids
yes? show data
currently SET data sets:
1> ./precip_MAM_mean.nc (default)
name title I J K L M N
PRECIP_MAM
MAM Seasonal Mean precip 1:144 1:72 ... 1:30 ... ...
(X=0E:0E(360), Y=90S:90N)
yes? show grids precip_mam
GRID GPN1
name axis # pts start end
LON LONGITUDE 144mr 1.25E 1.25W
LAT LATITUDE 72 r 88.75S 88.75N
normal Z
TYEAR T (years) 30 r 1980 2009
normal E
normal F
yes? use climatological_axes
*** NOTE: regarding /opt/Ferret/V693/go/climatological_axes.cdf ...
*** NOTE: Climatological axes SEASONAL_REG, MONTH_REG, MONTH_IRREG, MONTH_GREGORIAN, MONTH_NOLEAP, MONTH_360_DAY, MONTH_ALL_LEAP defined
yes? cancel data climatological_axes
yes? define grid/like=precip_MAM mygrid
yes? let climatology = precip_MAM[gt=seasonal_reg@mod]
yes? let anomaly = precip_MAM - climatology[gt=mygrid]
yes? plot/anomaly [x=22:55@ave,y=-12:22@ave]
**ERROR: unknown command qualifier: anomaly
yes? plot anomaly [x=22:55@ave,y=-12:22@ave]
**ERROR: command syntax: anomaly [x=22:55@ave,y=-12:22@ave]
omaly [x=Ulrich Jacques DIASSO
Climate Change assessment Expert
Montoring for Environment and Security in Africa (MESA)
African Centre of Meteorological Applications for Development (ACMAD)85, Avenue des MinisteresNiamey - NIGERCell Phone: +227 91 63 80 91
+226 76 17 76 00