MIROC4h model output prepared for CMIP5 10- or 30-year run initialized in year 1980

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sim_OImon_MIROC4h_decadal1980_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MIROC4h model output prepared for CMIP5 10- or 30-year run initialized in year 1980
location	/shared/cmip5/data/decadal1980/seaIce/mon/OImon/sim/MIROC.MIROC4h/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sim_OImon_MIROC4h_decadal1980_r1i1p1.yaml
last updated	2013-05-26

Dataset Contents

<xarray.Dataset>
Dimensions:                     (bnds: 2, rlat: 912, rlon: 1280, time: 360, vertices: 4)
Coordinates:
  * time                        (time) float64 15.5 45.0 ... 1.091e+04 1.094e+04
  * rlat                        (rlat) float64 -85.41 -85.22 ... 85.22 85.41
  * rlon                        (rlon) float64 0.1406 0.4219 ... 359.6 359.9
    lat                         (rlat, rlon) float32 dask.array<chunksize=(912, 1280), meta=np.ndarray>
    lon                         (rlat, rlon) float32 dask.array<chunksize=(912, 1280), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds                   (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
    rlat_bnds                   (time, rlat, bnds) float64 dask.array<chunksize=(120, 912, 2), meta=np.ndarray>
    rlon_bnds                   (time, rlon, bnds) float64 dask.array<chunksize=(120, 1280, 2), meta=np.ndarray>
    rotated_latitude_longitude  (time) int32 -2147483647 ... -2147483647
    lat_vertices                (time, rlat, rlon, vertices) float32 dask.array<chunksize=(120, 912, 1280, 4), meta=np.ndarray>
    lon_vertices                (time, rlat, rlon, vertices) float32 dask.array<chunksize=(120, 912, 1280, 4), meta=np.ndarray>
    sim                         (time, rlat, rlon) float32 dask.array<chunksize=(120, 912, 1280), meta=np.ndarray>
Attributes:
    institution:            AORI (Atmosphere and Ocean Research Institute, Th...
    institute_id:           MIROC
    experiment_id:          decadal1980
    source:                 MIROC4h 2009 atmosphere: AGCM (AGCM5.8, T213L56);...
    model_id:               MIROC4h
    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp), Masa...
    references:             Sakamoto et al., 2011: MIROC4h -- a new high-reso...
    initialization_method:  1
    physics_version:        1
    tracking_id:            9cce8217-eba1-47e5-9362-e8b4a7f59401
    product:                output
    experiment:             10- or 30-year run initialized in year 1980
    frequency:              mon
    creation_date:          2011-06-13T16:50:00Z
    history:                2011-06-13T16:50:00Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table OImon (11 April 2011) c685058342b6615c12d34...
    title:                  MIROC4h model output prepared for CMIP5 10- or 30...
    parent_experiment:      N/A
    modeling_realm:         seaIce ocean
    realization:            1
    cmor_version:           2.5.8

xarray.Dataset

Dimensions:
- bnds: 2
- rlat: 912
- rlon: 1280
- time: 360
- vertices: 4

Coordinates: (5)

time
(time)
float64
15.5 45.0 ... 1.091e+04 1.094e+04
bounds :
time_bnds
units :
days since 1981-1-1
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([   15.5,    45. ,    74.5, ..., 10880.5, 10911. , 10941.5])
```
rlat
(rlat)
float64
-85.41 -85.22 ... 85.22 85.41
bounds :
rlat_bnds
units :
degrees
axis :
Y
long_name :
latitude in rotated pole grid
standard_name :
grid_latitude
```
array([-85.40625, -85.21875, -85.03125, ...,  85.03125,  85.21875,  85.40625])
```
rlon
(rlon)
float64
0.1406 0.4219 ... 359.6 359.9
bounds :
rlon_bnds
units :
degrees
axis :
X
long_name :
longitude in rotated pole grid
standard_name :
grid_longitude
```
array([1.406250e-01, 4.218750e-01, 7.031250e-01, ..., 3.592969e+02,
       3.595781e+02, 3.598594e+02])
```

lat

(rlat, rlon)

float32

dask.array<chunksize=(912, 1280), meta=np.ndarray>

standard_name :: latitude
long_name :: latitude coordinate
units :: degrees_north
bounds :: lat_vertices

	Array	Chunk
Bytes	4.67 MB	4.67 MB
Shape	(912, 1280)	(912, 1280)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(rlat, rlon)

float32

dask.array<chunksize=(912, 1280), meta=np.ndarray>

standard_name :: longitude
long_name :: longitude coordinate
units :: degrees_east
bounds :: lon_vertices

	Array	Chunk
Bytes	4.67 MB	4.67 MB
Shape	(912, 1280)	(912, 1280)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (7)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	5.76 kB	1.92 kB
Shape	(360, 2)	(120, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

rlat_bnds

(time, rlat, bnds)

float64

dask.array<chunksize=(120, 912, 2), meta=np.ndarray>

	Array	Chunk
Bytes	5.25 MB	1.75 MB
Shape	(360, 912, 2)	(120, 912, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

rlon_bnds

(time, rlon, bnds)

float64

dask.array<chunksize=(120, 1280, 2), meta=np.ndarray>

	Array	Chunk
Bytes	7.37 MB	2.46 MB
Shape	(360, 1280, 2)	(120, 1280, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

rotated_latitude_longitude

(time)

int32

-2147483647 ... -2147483647

grid_mapping_name :: rotated_latitude_longitude
grid_north_pole_latitude :: 77.0
grid_north_pole_longitude :: -40.0
north_pole_grid_longitude :: 90.0

array([-2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
...
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,
       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647],
      dtype=int32)

lat_vertices

(time, rlat, rlon, vertices)

float32

dask.array<chunksize=(120, 912, 1280, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	6.72 GB	2.24 GB
Shape	(360, 912, 1280, 4)	(120, 912, 1280, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, rlat, rlon, vertices)

float32

dask.array<chunksize=(120, 912, 1280, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	6.72 GB	2.24 GB
Shape	(360, 912, 1280, 4)	(120, 912, 1280, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

sim

(time, rlat, rlon)

float32

dask.array<chunksize=(120, 912, 1280), meta=np.ndarray>

standard_name :: sea_ice_and_surface_snow_amount
long_name :: Sea Ice Plus Surface Snow Amount
comment :: the mass per unit area of sea ice plus snow in the ocean portion of the grid cell (averaging over the entire ocean portion, including the ice-free fraction). Reported as 0.0 in regions free of sea ice.
units :: kg m-2
original_name :: HIG+HSG
original_units :: kg/m**2
history :: 2011-06-13T16:49:59Z altered by CMOR: Converted units from 'kg/m**2' to 'kg m-2'. 2011-06-13T16:49:59Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
cell_methods :: time: mean area: mean where sea
cell_measures :: area: areacello
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_MIROC4h_decadal1980_r0i0p0.nc areacello: areacello_fx_MIROC4h_decadal1980_r0i0p0.nc
grid_mapping :: rotated_latitude_longitude

	Array	Chunk
Bytes	1.68 GB	560.33 MB
Shape	(360, 912, 1280)	(120, 912, 1280)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), and JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)
institute_id :
MIROC
experiment_id :
decadal1980
source :
MIROC4h 2009 atmosphere: AGCM (AGCM5.8, T213L56); ocean: COCO (COCO3.4, rotated pole 1280x912 L48); sea ice: COCO (COCO3.4); land: MATSIRO (MATSIRO, 2x3L5)
model_id :
MIROC4h
forcing :
GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2)
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp), Masayoshi Ishii (ism@jamstec.go.jp)
references :
Sakamoto et al., 2011: MIROC4h -- a new high-resolution atmosphere-ocean coupled general circulation model. (in preparation); Tatebe et al., 2011: (in preparation)
initialization_method :
1
physics_version :
1
tracking_id :
9cce8217-eba1-47e5-9362-e8b4a7f59401
product :
output
experiment :
10- or 30-year run initialized in year 1980
frequency :
mon
creation_date :
2011-06-13T16:50:00Z
history :
2011-06-13T16:50:00Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table OImon (11 April 2011) c685058342b6615c12d34dc34a53e6fa
title :
MIROC4h model output prepared for CMIP5 10- or 30-year run initialized in year 1980
parent_experiment :
N/A
modeling_realm :
seaIce ocean
realization :
1
cmor_version :
2.5.8