MIROC-ESM-CHEM model output prepared for CMIP5 pre-industrial control

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/so_Omon_MIROC-ESM-CHEM_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MIROC-ESM-CHEM model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/ocean/mon/Omon/so/MIROC.MIROC-ESM-CHEM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/so_Omon_MIROC-ESM-CHEM_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:     (bnds: 2, lat: 192, lev: 44, lon: 256, time: 3060)
Coordinates:
  * time        (time) float64 15.5 45.0 74.5 ... 9.306e+04 9.309e+04 9.312e+04
  * lev         (lev) float64 2.5 7.5 12.5 17.5 ... 5.025e+03 5.275e+03 5.45e+03
  * lat         (lat) float64 -89.14 -87.43 -85.87 -84.46 ... 85.87 87.43 89.14
  * lon         (lon) float64 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3
Dimensions without coordinates: bnds
Data variables:
    time_bnds   (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
    lev_bnds    (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
    sigma       (time, lev) float64 dask.array<chunksize=(120, 44), meta=np.ndarray>
    eta         (time, lat, lon) float32 dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
    depth       (time, lat, lon) float32 dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
    depth_c     (time) float64 45.0 45.0 45.0 45.0 45.0 ... 45.0 45.0 45.0 45.0
    nsigma      (time) int32 8 8 8 8 8 8 8 8 8 8 8 8 ... 8 8 8 8 8 8 8 8 8 8 8 8
    zlev        (time, lev) float64 dask.array<chunksize=(120, 44), meta=np.ndarray>
    sigma_bnds  (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
    zlev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
    lat_bnds    (time, lat, bnds) float64 dask.array<chunksize=(120, 192, 2), meta=np.ndarray>
    lon_bnds    (time, lon, bnds) float64 dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
    so          (time, lev, lat, lon) float32 dask.array<chunksize=(120, 44, 192, 256), meta=np.ndarray>
Attributes:
    institution:            JAMSTEC (Japan Agency for Marine-Earth Science an...
    institute_id:           MIROC
    experiment_id:          piControl
    source:                 MIROC-ESM-CHEM 2010 atmosphere: MIROC-AGCM (MIROC...
    model_id:               MIROC-ESM-CHEM
    forcing:                N/A
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru...
    references:             Watanabe et al., : MIROC-ESM: model description a...
    initialization_method:  1
    physics_version:        1
    tracking_id:            2d426cc3-d2f3-43ac-a4c9-8d44e19f68ad
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2011-10-03T05:31:04Z
    history:                2011-10-03T05:31:04Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
    title:                  MIROC-ESM-CHEM model output prepared for CMIP5 pr...
    parent_experiment:      N/A
    modeling_realm:         ocean
    realization:            1
    cmor_version:           2.7.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 192
- lev: 44
- lon: 256
- time: 3060

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 9.309e+04 9.312e+04
bounds :
time_bnds
units :
days since 1846-1-1
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 9.30605e+04, 9.30910e+04,
       9.31215e+04])
```

lev

(lev)

float64

2.5 7.5 12.5 ... 5.275e+03 5.45e+03

bounds :: lev_bnds
axis :: Z
long_name :: ocean sigma over z coordinate
standard_name :: ocean_sigma_z
formula :: for k <= nsigma: z = eta + sigma*(min(depth_c,depth)+eta) ; for k > nsigma: z = zlev
formula_terms :: sigma: sigma eta: eta depth: depth depth_c: depth_c nsigma: nsigma zlev: zlev

array([2.500e+00, 7.500e+00, 1.250e+01, 1.750e+01, 2.250e+01, 2.750e+01,
       3.375e+01, 4.125e+01, 5.000e+01, 6.000e+01, 7.000e+01, 8.000e+01,
       9.250e+01, 1.100e+02, 1.325e+02, 1.575e+02, 1.850e+02, 2.250e+02,
       2.875e+02, 3.625e+02, 4.500e+02, 5.500e+02, 6.750e+02, 8.250e+02,
       9.750e+02, 1.125e+03, 1.300e+03, 1.525e+03, 1.775e+03, 2.025e+03,
       2.275e+03, 2.525e+03, 2.775e+03, 3.025e+03, 3.275e+03, 3.525e+03,
       3.775e+03, 4.025e+03, 4.275e+03, 4.525e+03, 4.775e+03, 5.025e+03,
       5.275e+03, 5.450e+03])

lat

(lat)

float64

-89.14 -87.43 ... 87.43 89.14

bounds :: lat_bnds
units :: degrees_north
axis :: Y
long_name :: latitude
standard_name :: latitude

array([-89.14444 , -87.433311, -85.872566, -84.462212, -83.056526, -81.655525,
       -80.255852, -78.857513, -77.459747, -76.062538, -74.665627, -73.269012,
       -71.872559, -70.476288, -69.080116, -67.684059, -66.288071, -64.892159,
       -63.728931, -62.798389, -61.867851, -60.937336, -60.006847, -59.076359,
       -58.145885, -57.215435, -56.284985, -55.354549, -54.424126, -53.493706,
       -52.563293, -51.632896, -50.702496, -49.772106, -48.841724, -47.911346,
       -46.980972, -46.050606, -45.120239, -44.18988 , -43.259529, -42.329174,
       -41.398827, -40.468483, -39.538139, -38.6078  , -37.677467, -36.747131,
       -35.816799, -34.886471, -33.956146, -33.025818, -32.095497, -31.165176,
       -30.234858, -29.304541, -28.374224, -27.443909, -26.513596, -25.583284,
       -24.652973, -23.722664, -22.792355, -21.862047, -20.931742, -20.001436,
       -19.071131, -18.140827, -17.210524, -16.396509, -15.698783, -15.001057,
       -14.303331, -13.605605, -12.907881, -12.210155, -11.512431, -10.814707,
       -10.116982,  -9.419259,  -8.721535,  -8.093584,  -7.535406,  -6.977227,
        -6.419048,  -5.86087 ,  -5.302691,  -4.744514,  -4.186335,  -3.628157,
        -3.069979,  -2.511801,  -1.953623,  -1.395445,  -0.837267,  -0.279089,
         0.279089,   0.837267,   1.395445,   1.953623,   2.511801,   3.069979,
         3.628157,   4.186335,   4.744514,   5.302691,   5.86087 ,   6.419048,
         6.977227,   7.535406,   8.093584,   8.721535,   9.419259,  10.116982,
        10.814707,  11.512431,  12.210155,  12.907881,  13.605605,  14.303331,
        15.001057,  15.698783,  16.396509,  17.210524,  18.140827,  19.071131,
        20.001436,  20.931742,  21.862047,  22.792355,  23.722664,  24.652973,
        25.583284,  26.513596,  27.443909,  28.374224,  29.304541,  30.234858,
        31.165176,  32.095497,  33.025818,  33.956146,  34.886471,  35.816799,
        36.747131,  37.677467,  38.6078  ,  39.538139,  40.468483,  41.398827,
        42.329174,  43.259529,  44.18988 ,  45.120239,  46.050606,  46.980972,
        47.911346,  48.841724,  49.772106,  50.702496,  51.632896,  52.563293,
        53.493706,  54.424126,  55.354549,  56.284985,  57.215435,  58.145885,
        59.076359,  60.006847,  60.937336,  61.867851,  62.798389,  63.728931,
        64.892159,  66.288071,  67.684059,  69.080116,  70.476288,  71.872559,
        73.269012,  74.665627,  76.062538,  77.459747,  78.857513,  80.255852,
        81.655525,  83.056526,  84.462212,  85.872566,  87.433311,  89.14444 ])

lon
(lon)
float64
0.7031 2.109 3.516 ... 357.9 359.3
bounds :
lon_bnds
units :
degrees_east
axis :
X
long_name :
longitude
standard_name :
longitude
```
array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,
       359.296875])
```

Data variables: (13)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(120, 2), meta=np.ndarray>

	Array	Chunk
Bytes	48.96 kB	1.92 kB
Shape	(3060, 2)	(120, 2)
Count	78 Tasks	26 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(120, 44, 2), meta=np.ndarray>

formula :: for k <= nsigma: z = eta + sigma*(min(depth_c,depth)+eta) ; for k > nsigma: z = zlev
standard_name :: ocean_sigma_z
units :
formula_terms :: sigma: sigma_bnds eta: eta depth: depth depth_c: depth_c nsigma: nsigma zlev: zlev_bnds

	Array	Chunk
Bytes	2.15 MB	84.48 kB
Shape	(3060, 44, 2)	(120, 44, 2)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

sigma

(time, lev)

float64

dask.array<chunksize=(120, 44), meta=np.ndarray>

long_name :: vertical coordinate formula term: sigma(k)

	Array	Chunk
Bytes	1.08 MB	42.24 kB
Shape	(3060, 44)	(120, 44)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

eta

(time, lat, lon)

float32

dask.array<chunksize=(120, 192, 256), meta=np.ndarray>

long_name :: Sea Surface Height
units :: m
original_units :: cm
history :: 2011-10-03T05:31:04Z altered by CMOR: Converted units from 'cm' to 'm'.
cell_methods :: time: mean

	Array	Chunk
Bytes	601.62 MB	23.59 MB
Shape	(3060, 192, 256)	(120, 192, 256)
Count	78 Tasks	26 Chunks
Type	float32	numpy.ndarray

depth

(time, lat, lon)

float32

dask.array<chunksize=(120, 192, 256), meta=np.ndarray>

long_name :: Sea Floor Depth
comment :: Ocean bathymetry.
units :: m

	Array	Chunk
Bytes	601.62 MB	23.59 MB
Shape	(3060, 192, 256)	(120, 192, 256)
Count	104 Tasks	26 Chunks
Type	float32	numpy.ndarray

depth_c
(time)
float64
45.0 45.0 45.0 ... 45.0 45.0 45.0
long_name :
vertical coordinate formula term: depth_c
```
array([45., 45., 45., ..., 45., 45., 45.])
```
nsigma
(time)
int32
8 8 8 8 8 8 8 8 ... 8 8 8 8 8 8 8 8
long_name :
vertical coordinate formula term: nsigma
```
array([8, 8, 8, ..., 8, 8, 8], dtype=int32)
```

zlev

(time, lev)

float64

dask.array<chunksize=(120, 44), meta=np.ndarray>

long_name :: vertical coordinate formula term: zlev(k)

	Array	Chunk
Bytes	1.08 MB	42.24 kB
Shape	(3060, 44)	(120, 44)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

sigma_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(120, 44, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: sigma(k+1/2)

	Array	Chunk
Bytes	2.15 MB	84.48 kB
Shape	(3060, 44, 2)	(120, 44, 2)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

zlev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(120, 44, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: zlev(k+1/2)

	Array	Chunk
Bytes	2.15 MB	84.48 kB
Shape	(3060, 44, 2)	(120, 44, 2)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(120, 192, 2), meta=np.ndarray>

	Array	Chunk
Bytes	9.40 MB	368.64 kB
Shape	(3060, 192, 2)	(120, 192, 2)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(120, 256, 2), meta=np.ndarray>

	Array	Chunk
Bytes	12.53 MB	491.52 kB
Shape	(3060, 256, 2)	(120, 256, 2)
Count	104 Tasks	26 Chunks
Type	float64	numpy.ndarray

(time, lev, lat, lon)

float32

dask.array<chunksize=(120, 44, 192, 256), meta=np.ndarray>

standard_name :: sea_water_salinity
long_name :: Sea Water Salinity
units :: psu
original_name :: so
cell_methods :: time: mean
cell_measures :: area: areacello volume: volcello
history :: 2011-10-03T05:31:04Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MIROC-ESM-CHEM_piControl_r0i0p0.nc areacello: areacello_fx_MIROC-ESM-CHEM_piControl_r0i0p0.nc volcello: volcello_fx_MIROC-ESM-CHEM_piControl_r0i0p0.nc

	Array	Chunk
Bytes	26.47 GB	1.04 GB
Shape	(3060, 44, 192, 256)	(120, 44, 192, 256)
Count	78 Tasks	26 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), and NIES (National Institute for Environmental Studies, Ibaraki, Japan)
institute_id :
MIROC
experiment_id :
piControl
source :
MIROC-ESM-CHEM 2010 atmosphere: MIROC-AGCM (MIROC-AGCM 2010, T42L80); ocean: COCO (COCO3.4, 256x192 L44); sea ice: COCO (COCO3.4); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T42L80):atmospheric-chemistry: CHASER (CHASER 4.1, T42L80): ocean-biogeochemistry: NPZD ; land-biogeochemistry: SEIB-DGVM (SEIB-DGVM, T42)
model_id :
MIROC-ESM-CHEM
forcing :
N/A
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru Nozawa (nozawa@nies.go.jp)
references :
Watanabe et al., : MIROC-ESM: model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev. Discuss., 4, 1063-1128, doi:10.5194/gmdd-4-1063-2011, 2011.
initialization_method :
1
physics_version :
1
tracking_id :
2d426cc3-d2f3-43ac-a4c9-8d44e19f68ad
product :
output
experiment :
pre-industrial control
frequency :
mon
creation_date :
2011-10-03T05:31:04Z
history :
2011-10-03T05:31:04Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Omon (26 July 2011) 25bb94a0408beca44c0f5b601258a94e
title :
MIROC-ESM-CHEM model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
ocean
realization :
1
cmor_version :
2.7.1