Temperature and salinity analysis

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/bnoushin7/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/en4.2.1.yaml")
ds = cat['netcdf'].to_dask()
ds

Metadata

title	Temperature and salinity analysis
location	/project/atlantic_var/ogozdz/EN4/downloaded
tags	gridded,obs,ocn
catalog_dir	https://raw.githubusercontent.com/bnoushin7/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/en4.2.1.yaml
last updated	2019-08-01

Dataset Contents

xarray.Dataset

Dimensions:
- bnds: 2
- depth: 42
- lat: 173
- lon: 360
- time: 1428

Coordinates: (4)

lon
(lon)
float32
1.0 2.0 3.0 ... 358.0 359.0 360.0
long_name :
longitude
units :
degrees_east
standard_name :
longitude
```
array([  1.,   2.,   3., ..., 358., 359., 360.], dtype=float32)
```

depth

(depth)

float32

5.0215898 15.07854 ... 5350.272

long_name :: depth
units :: metres
positive :: down
standard_name :: depth
bounds :: depth_bnds

array([5.021590e+00, 1.507854e+01, 2.516046e+01, 3.527829e+01, 4.544776e+01,
       5.569149e+01, 6.604198e+01, 7.654591e+01, 8.727029e+01, 9.831118e+01,
       1.098062e+02, 1.219519e+02, 1.350285e+02, 1.494337e+02, 1.657285e+02,
       1.846975e+02, 2.074254e+02, 2.353862e+02, 2.705341e+02, 3.153741e+02,
       3.729655e+02, 4.468009e+02, 5.405022e+02, 6.573229e+02, 7.995496e+02,
       9.679958e+02, 1.161806e+03, 1.378661e+03, 1.615291e+03, 1.868071e+03,
       2.133517e+03, 2.408583e+03, 2.690780e+03, 2.978166e+03, 3.269278e+03,
       3.563041e+03, 3.858676e+03, 4.155628e+03, 4.453502e+03, 4.752021e+03,
       5.050990e+03, 5.350272e+03], dtype=float32)

lat

(lat)

float32

-83.0 -82.0 -81.0 ... 88.0 89.0

long_name :: latitude
units :: degrees_north
standard_name :: latitude

array([-83., -82., -81., -80., -79., -78., -77., -76., -75., -74., -73., -72.,
       -71., -70., -69., -68., -67., -66., -65., -64., -63., -62., -61., -60.,
       -59., -58., -57., -56., -55., -54., -53., -52., -51., -50., -49., -48.,
       -47., -46., -45., -44., -43., -42., -41., -40., -39., -38., -37., -36.,
       -35., -34., -33., -32., -31., -30., -29., -28., -27., -26., -25., -24.,
       -23., -22., -21., -20., -19., -18., -17., -16., -15., -14., -13., -12.,
       -11., -10.,  -9.,  -8.,  -7.,  -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,
         1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.,  11.,  12.,
        13.,  14.,  15.,  16.,  17.,  18.,  19.,  20.,  21.,  22.,  23.,  24.,
        25.,  26.,  27.,  28.,  29.,  30.,  31.,  32.,  33.,  34.,  35.,  36.,
        37.,  38.,  39.,  40.,  41.,  42.,  43.,  44.,  45.,  46.,  47.,  48.,
        49.,  50.,  51.,  52.,  53.,  54.,  55.,  56.,  57.,  58.,  59.,  60.,
        61.,  62.,  63.,  64.,  65.,  66.,  67.,  68.,  69.,  70.,  71.,  72.,
        73.,  74.,  75.,  76.,  77.,  78.,  79.,  80.,  81.,  82.,  83.,  84.,
        85.,  86.,  87.,  88.,  89.], dtype=float32)

time

(time)

datetime64[ns]

1900-01-16T12:00:00 ... 2018-12-16T12:00:00

standard_name :: time
bounds :: time_bnds

array(['1900-01-16T12:00:00.000000000', '1900-02-15T00:00:00.000000000',
       '1900-03-16T12:00:00.000000000', ..., '2018-10-16T12:00:00.000000000',
       '2018-11-16T00:00:00.000000000', '2018-12-16T12:00:00.000000000'],
      dtype='datetime64[ns]')

Data variables: (8)

temperature

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: temperature
standard_name :: sea_water_potential_temperature
units :: kelvin
valid_min :: -5.0
valid_max :: 45.0





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

salinity

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: salinity
units :: psu
standard_name :: sea_water_salinity
valid_min :: -5.0
valid_max :: 48.0





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

temperature_uncertainty

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: temperature error standard deviation
units :: kelvin





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

salinity_uncertainty

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: salinity error standard deviation
units :: 1





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

temperature_observation_weights

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: temperature observation weights
comment :: The total weighting given to the observation increments when forming the analysis





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

salinity_observation_weights

(time, depth, lat, lon)

float32

dask.array<chunksize=(1, 42, 173, 360), meta=np.ndarray>

long_name :: salinity observation weights
comment :: The total weighting given to the observation increments when forming the analysis





  
      Array  Chunk 
  
  
     Bytes  14.94 GB   10.46 MB 
     Shape  (1428, 42, 173, 360)   (1, 42, 173, 360) 
     Count  4284 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

time_bnds

(time, bnds)

datetime64[ns]

dask.array<chunksize=(1, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  22.85 kB   16 B 
     Shape  (1428, 2)   (1, 2) 
     Count  4284 Tasks  1428 Chunks 
     Type  datetime64[ns]  numpy.ndarray

depth_bnds

(time, depth, bnds)

float32

dask.array<chunksize=(1, 42, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  479.81 kB   336 B 
     Shape  (1428, 42, 2)   (1, 42, 2) 
     Count  5712 Tasks  1428 Chunks 
     Type  float32  numpy.ndarray

Attributes: (21)
Conventions :
CF-1.0
title :
Temperature and salinity analysis
DSD_entry_id :
UKMO-L4UHFnd-GLOB-v01
references :
None
institution :
UK Met Office
contact :
Simon Good - simon.good@metoffice.gov.uk
GDS_version_id :
v1.7
netcdf_version_id :
3.5
creation_date :
2017-04-07 15:28:00.135 -00:00
product_version :
1.0
history :
grid_resolution :
1.00000 degree
start_date :
2001-01-01 UTC
start_time :
00:00:00 UTC
stop_date :
2001-01-01 UTC
stop_time :
00:00:00 UTC
southernmost_latitude :
-90.5
northernmost_latitude :
89.5
westernmost_longitude :
0.5
easternmost_longitude :
362.5
file_quality_index :
0