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/grFrazil_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/grFrazil/MIROC.MIROC4h/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/grFrazil_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>
    grFrazil                    (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:            6ff25918-d2c1-4703-b529-3fb2e86d7be3
    product:                output
    experiment:             10- or 30-year run initialized in year 1980
    frequency:              mon
    creation_date:          2011-06-13T18:15:54Z
    history:                2011-06-13T18:15:54Z 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
    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

grFrazil

(time, rlat, rlon)

float32

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

standard_name :: tendency_of_sea_ice_amount_due_to_frazil_ice_accumulation_in_leads
long_name :: Frazil Sea Ice Growth (Leads) Rate
comment :: the rate of change of sea ice mass due to frazil sea ice formation divided by the area of the ocean portion of the grid cell. Reported as 0.0 in regions free of sea ice.
units :: kg m-2 s-1
original_name :: IGRFRA
original_units :: g/cm^2/s
history :: 2011-06-13T18:15:53Z altered by CMOR: Converted units from 'g/cm^2/s' to 'kg m-2 s-1'. 2011-06-13T18:15:53Z 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 :
6ff25918-d2c1-4703-b529-3fb2e86d7be3
product :
output
experiment :
10- or 30-year run initialized in year 1980
frequency :
mon
creation_date :
2011-06-13T18:15:54Z
history :
2011-06-13T18:15:54Z 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
realization :
1
cmor_version :
2.5.8