{5} Assigned, Active Tickets by Owner (Full Description) (12 matches)

Fill in Data copy with NaNs for missing samples.

...and find the minimum of those maximums across all samples.

Convert speed to matplotlib colorspec.

Data from the YSI 6600 V2 unit on the automated vertical profilers (AVPs) report lower salinity values than calculated salinity from cond, depth and temp using UNESCO seawater function.

We need to verify which is correct value.

Profile Time: 23:30:00 Profile Date: 09/22/2008 Profile Depth: 362.0 cm Profile Location: Morgan Bay Serial No: 00016B55, ID: Ford_SERDP 09/22/08 23:30:07 22.81 33.57 21.06 0.155 7.91 1.9 10.5 7.84

month, day, year, hour, min, sec, temp (deg. C), conductivity (mS/cm), salinity (ppt), depth (meters), pH, turbidity (NTU), chlorophyll (micrograms per liter), DO (micrograms per liter)

mS/cm == mmho/cm

matlab salin= sw_salt(cond/sw_c3515, wtemp, press) >> salin= sw_salt(33.57/sw_c3515, 22.81,0.155)

salin =

22.0735

Compared to 21.06 reported from ysi.

See raw2proc page for info on this component.

In each proc_*.py creator module, change dimension names to match corresponding variable name. It might not make reading the file by humans easy, but it will allow pydap to work correctly to grab data dependency.

For example, pydap cannot load d2.wtemp[:] because ntime dimension does not match time var. pydap is looking for the dependency based on dimension values.

>>> d2= pydap.open_url('http://whewell.marine.unc.edu/dods/nccoos/level1/b2/ctd1/b2_ctd1_2011_11.nc')             
>>> d2.wtemp
{'wtemp': <pydap.model.BaseType object at 0xb792fb8c>, 'ntime': <pydap.model.BaseType object at 0xb792fc2c>}

>>> d2.wtemp[:]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/env/haines/dataproc/lib/python2.6/site-packages/pydap/model.py", line 662, in __getitem__
    var.data = var.data[slice_]
  File "/opt/env/haines/dataproc/lib/python2.6/site-packages/pydap/proxy.py", line 115, in __getitem__
    resp, data = request(url)
  File "/opt/env/haines/dataproc/lib/python2.6/site-packages/pydap/util/http.py", line 50, in request
    raise ServerError(msg)
pydap.exceptions.ServerError: 'Server error 42: "\'ntime\'"'

However, we can still read the data via pydap, but have to know to get time separately, e.g.

>>> d2.wtemp.array[:]
array([ 23.10750008,  23.14500046,  23.38870049, ...,  22.0807991 ,
        22.06220055,  22.07489967], dtype=float32)
>>> d2.time.array[:]
array([1320121566, 1320132726, 1320137406, ..., 1322696548, 1322696908,
       1322697268])

So change the following in creator():

# dimension names use tuple so order of initialization is maintained                                                     
    dim_inits = (
        ('ntime', NC.UNLIMITED),
        ('nlat', 1),
        ('nlon', 1),
        ('nz', 1),
        )

to

# dimension names use tuple so order of initialization is maintained                                                     
    dim_inits = (
        ('time', NC.UNLIMITED),
        ('lat', 1),
        ('lon', 1),
        ('z', 1),
        )

and any ntime to time (or nlat to lat or nlon to lon or nz to z, etc)

# (varName, varType, (dimName1, [dimName2],                                                                        
    var_inits = (
        # coordinate variables                                                                                               
        ('time', NC.INT, ('time',)),
        ('lat', NC.FLOAT, ('lat',)),
        ('lon', NC.FLOAT, ('lon',)),
        ('z',  NC.FLOAT, ('z',)),
        # data variables                                                                                                     
        ('wtemp', NC.FLOAT, ('time',)),
        ('cond', NC.FLOAT, ('time',)),
        ('press', NC.FLOAT, ('time',)),
        # derived variables                                                                                                  
        ('depth', NC.FLOAT, ('time',)),
        ('salin', NC.FLOAT, ('time',)),
        ('density', NC.FLOAT, ('time',)),
        )

There is no need for functions like meters2feet(), etc now that udunits is implemented. Clean-up code and make appropriate changes to calls to old conversions throughout plotting and processing.