MIROC-ESM 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/uo_Omon_MIROC-ESM_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MIROC-ESM model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/ocean/mon/Omon/uo/MIROC.MIROC-ESM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/uo_Omon_MIROC-ESM_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:     (bnds: 2, lat: 192, lev: 44, lon: 256, time: 7560)
Coordinates:
  * time        (time) float64 15.5 45.0 74.5 ... 2.3e+05 2.301e+05 2.301e+05
  * lev         (lev) float64 2.5 7.5 12.5 17.5 ... 5.025e+03 5.275e+03 5.45e+03
  * lat         (lat) float64 -88.29 -86.58 -85.17 -83.76 ... 86.58 88.29 90.0
  * lon         (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6
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>
    uo          (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 2010 atmosphere: MIROC-AGCM (MIROC-AGCM...
    model_id:               MIROC-ESM
    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:            4b575873-e008-498f-b30c-99089bc671ca
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2011-09-13T13:22:20Z
    history:                2011-09-13T13:22:20Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
    title:                  MIROC-ESM model output prepared for CMIP5 pre-ind...
    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: 7560

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 2.301e+05 2.301e+05
bounds :
time_bnds
units :
days since 1800-1-1
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 2.300265e+05,
       2.300570e+05, 2.300875e+05])
```

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

-88.29 -86.58 -85.17 ... 88.29 90.0

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

array([-8.828887e+01, -8.657775e+01, -8.516739e+01, -8.375703e+01,
       -8.235603e+01, -8.095502e+01, -7.955669e+01, -7.815835e+01,
       -7.676115e+01, -7.536394e+01, -7.396732e+01, -7.257070e+01,
       -7.117442e+01, -6.977814e+01, -6.838209e+01, -6.698602e+01,
       -6.559011e+01, -6.419420e+01, -6.326366e+01, -6.233312e+01,
       -6.140258e+01, -6.047209e+01, -5.954160e+01, -5.861111e+01,
       -5.768066e+01, -5.675021e+01, -5.581976e+01, -5.488934e+01,
       -5.395892e+01, -5.302849e+01, -5.209809e+01, -5.116769e+01,
       -5.023730e+01, -4.930692e+01, -4.837653e+01, -4.744616e+01,
       -4.651579e+01, -4.558542e+01, -4.465506e+01, -4.372470e+01,
       -4.279435e+01, -4.186400e+01, -4.093365e+01, -4.000331e+01,
       -3.907297e+01, -3.814263e+01, -3.721230e+01, -3.628196e+01,
       -3.535163e+01, -3.442131e+01, -3.349098e+01, -3.256066e+01,
       -3.163034e+01, -3.070002e+01, -2.976970e+01, -2.883938e+01,
       -2.790907e+01, -2.697875e+01, -2.604844e+01, -2.511813e+01,
       -2.418782e+01, -2.325751e+01, -2.232720e+01, -2.139689e+01,
       -2.046659e+01, -1.953628e+01, -1.860598e+01, -1.767568e+01,
       -1.674537e+01, -1.604765e+01, -1.534992e+01, -1.465219e+01,
       -1.395447e+01, -1.325674e+01, -1.255902e+01, -1.186129e+01,
       -1.116357e+01, -1.046585e+01, -9.768121e+00, -9.070397e+00,
       -8.372673e+00, -7.814495e+00, -7.256316e+00, -6.698138e+00,
       -6.139959e+00, -5.581780e+00, -5.023602e+00, -4.465425e+00,
       -3.907246e+00, -3.349068e+00, -2.790890e+00, -2.232712e+00,
       -1.674534e+00, -1.116356e+00, -5.581779e-01, -1.600047e-09,
        5.581779e-01,  1.116356e+00,  1.674534e+00,  2.232712e+00,
        2.790890e+00,  3.349068e+00,  3.907246e+00,  4.465425e+00,
        5.023602e+00,  5.581780e+00,  6.139959e+00,  6.698138e+00,
        7.256316e+00,  7.814495e+00,  8.372673e+00,  9.070397e+00,
        9.768121e+00,  1.046585e+01,  1.116357e+01,  1.186129e+01,
        1.255902e+01,  1.325674e+01,  1.395447e+01,  1.465219e+01,
        1.534992e+01,  1.604765e+01,  1.674537e+01,  1.767568e+01,
        1.860598e+01,  1.953628e+01,  2.046659e+01,  2.139689e+01,
        2.232720e+01,  2.325751e+01,  2.418782e+01,  2.511813e+01,
        2.604844e+01,  2.697875e+01,  2.790907e+01,  2.883938e+01,
        2.976970e+01,  3.070002e+01,  3.163034e+01,  3.256066e+01,
        3.349098e+01,  3.442131e+01,  3.535163e+01,  3.628196e+01,
        3.721230e+01,  3.814263e+01,  3.907297e+01,  4.000331e+01,
        4.093365e+01,  4.186400e+01,  4.279435e+01,  4.372470e+01,
        4.465506e+01,  4.558542e+01,  4.651579e+01,  4.744616e+01,
        4.837653e+01,  4.930692e+01,  5.023730e+01,  5.116769e+01,
        5.209809e+01,  5.302849e+01,  5.395892e+01,  5.488934e+01,
        5.581976e+01,  5.675021e+01,  5.768066e+01,  5.861111e+01,
        5.954160e+01,  6.047209e+01,  6.140258e+01,  6.233312e+01,
        6.326366e+01,  6.419420e+01,  6.559011e+01,  6.698602e+01,
        6.838209e+01,  6.977814e+01,  7.117442e+01,  7.257070e+01,
        7.396732e+01,  7.536394e+01,  7.676115e+01,  7.815835e+01,
        7.955669e+01,  8.095502e+01,  8.235603e+01,  8.375703e+01,
        8.516739e+01,  8.657775e+01,  8.828887e+01,  9.000000e+01])

lon
(lon)
float64
0.0 1.406 2.812 ... 357.2 358.6
bounds :
lon_bnds
units :
degrees_east
axis :
X
long_name :
longitude
standard_name :
longitude
```
array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])
```

Data variables: (13)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	120.96 kB	1.92 kB
Shape	(7560, 2)	(120, 2)
Count	192 Tasks	64 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	5.32 MB	84.48 kB
Shape	(7560, 44, 2)	(120, 44, 2)
Count	256 Tasks	64 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	2.66 MB	42.24 kB
Shape	(7560, 44)	(120, 44)
Count	256 Tasks	64 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 :: 2011-09-13T13:22:20Z altered by CMOR: Converted units from 'cm' to 'm'.
cell_methods :: time: mean

	Array	Chunk
Bytes	1.49 GB	23.59 MB
Shape	(7560, 192, 256)	(120, 192, 256)
Count	192 Tasks	64 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	1.49 GB	23.59 MB
Shape	(7560, 192, 256)	(120, 192, 256)
Count	256 Tasks	64 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	2.66 MB	42.24 kB
Shape	(7560, 44)	(120, 44)
Count	256 Tasks	64 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	5.32 MB	84.48 kB
Shape	(7560, 44, 2)	(120, 44, 2)
Count	256 Tasks	64 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	5.32 MB	84.48 kB
Shape	(7560, 44, 2)	(120, 44, 2)
Count	256 Tasks	64 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

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

	Array	Chunk
Bytes	23.22 MB	368.64 kB
Shape	(7560, 192, 2)	(120, 192, 2)
Count	256 Tasks	64 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

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

	Array	Chunk
Bytes	30.97 MB	491.52 kB
Shape	(7560, 256, 2)	(120, 256, 2)
Count	256 Tasks	64 Chunks
Type	float64	numpy.ndarray

(time, lev, lat, lon)

float32

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

standard_name :: sea_water_x_velocity
long_name :: Sea Water X Velocity
units :: m s-1
original_name :: uo
original_units :: m/s
history :: 2011-09-13T13:22:20Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2011-09-13T13:22:20Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
cell_methods :: time: mean
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MIROC-ESM_piControl_r0i0p0.nc

	Array	Chunk
Bytes	65.40 GB	1.04 GB
Shape	(7560, 44, 192, 256)	(120, 44, 192, 256)
Count	192 Tasks	64 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 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):ocean-biogeochemistry: NPZD ; land-biogeochemistry: SEIB-DGVM (SEIB-DGVM, T42)
model_id :
MIROC-ESM
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 :
4b575873-e008-498f-b30c-99089bc671ca
product :
output
experiment :
pre-industrial control
frequency :
mon
creation_date :
2011-09-13T13:22:20Z
history :
2011-09-13T13:22:20Z 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 model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
ocean
realization :
1
cmor_version :
2.7.1