How to average Multiple months of 2D data

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Rascal07
Rascal07 2018-2-12
评论： Rik 2018-2-12
The data im using is shown below. as you can see there are multiple values for temperature and salinity at each lat lon location due to multiple time intervals. I want to average the temperatures and salinity respectively at each location to plot a pcolor of the average temp and salinity over the entire time period. Does anyone know how to average the 4D matrix int a 3D matrix?
Dimensions: [1x4 struct]
Variables: [1x6 struct]
Attributes: [1x15 struct]
Groups: []
Format: 'classic'
Format:
classic
Global Attributes:
title = 'monthly mean fields from Global Ocean Physics Analysis and Forecast updated monthly'
institution = 'Mercator Ocean'
references = 'http://marine.copernicus.eu'
source = 'MERCATOR PSY4QV3R1'
Conventions = 'CF-1.0'
history = 'Data extracted from dataset http://opendap-glo.mercator-ocean.fr:8080/thredds/dodsC/global-analysis-forecast-phy-001-024-monthly'
time_min = 543852
time_max = 569412
julian_day_unit = 'hours since 1950-01-01'
z_min = 55.7643
z_max = 55.7643
latitude_min = -8
latitude_max = -2
longitude_min = 69
longitude_max = 80
Dimensions:
time = 36
depth = 1
latitude = 73
longitude = 133
Variables:
time
Size: 36x1
Dimensions: time
Datatype: int32
Attributes:
units = 'hours since 1950-01-01'
axis = 'T'
long_name = 'Time (hours since 1950-01-01)'
standard_name = 'time'
calendar = 'gregorian'
_CoordinateAxisType = 'Time'
so
Size: 133x73x1x36
Dimensions: longitude,latitude,depth,time
Datatype: int16
Attributes:
_CoordinateAxes = 'time depth latitude longitude '
_FillValue = -32767
long_name = 'Salinity'
standard_name = 'sea_water_salinity'
units = '1e-3'
unit_long = 'Practical Salinity Unit'
cell_methods = 'area: mean'
add_offset = -0.0015259
scale_factor = 0.0015259
thetao
Size: 133x73x1x36
Dimensions: longitude,latitude,depth,time
Datatype: int16
Attributes:
_CoordinateAxes = 'time depth latitude longitude '
_FillValue = -32767
long_name = 'Temperature'
standard_name = 'sea_water_potential_temperature'
units = 'degrees_C'
unit_long = 'Degrees Celsius'
cell_methods = 'area: mean'
add_offset = 21
scale_factor = 0.00073244
longitude
Size: 133x1
Dimensions: longitude
Datatype: single
Attributes:
_FillValue = NaN
step = 0.083328
units = 'degrees_east'
unit_long = 'Degrees East'
long_name = 'Longitude'
standard_name = 'longitude'
axis = 'X'
_CoordinateAxisType = 'Lon'
latitude
Size: 73x1
Dimensions: latitude
Datatype: single
Attributes:
_FillValue = NaN
step = 0.083336
units = 'degrees_north'
unit_long = 'Degrees North'
long_name = 'Latitude'
standard_name = 'latitude'
axis = 'Y'
_CoordinateAxisType = 'Lat'
depth
Size: 1x1
Dimensions: depth
Datatype: single
Attributes:
_FillValue = NaN
units = 'm'
positive = 'down'
unit_long = 'Meters'
long_name = 'Depth'
standard_name = 'depth'
axis = 'Z'
_CoordinateAxisType = 'Height'
_CoordinateZisPositive = 'down'

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Rik
Rik 2018-2-12
  2 个评论
Rik
Rik 2018-2-12
The layout is much better, thank you. However, it is a bit unclear to me what variable contains the actual data, so I can't help you more with the syntax you should use. You can specify the dimension mean should operate on, as you can read in the doc (see link). Does that help?

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