MPI-ESM-MR model output prepared for CMIP5 historical

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/transiy_OImon_MPI-ESM-MR_historical_r3i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MPI-ESM-MR model output prepared for CMIP5 historical
location	/shared/cmip5/data/historical/seaIce/mon/OImon/transiy/MPI-M.MPI-ESM-MR/r3i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/transiy_OImon_MPI-ESM-MR_historical_r3i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 802, j: 404, time: 1872, vertices: 4)
Coordinates:
  * time          (time) float64 15.5 45.0 74.5 ... 5.69e+04 5.693e+04 5.696e+04
  * j             (j) int32 1 2 3 4 5 6 7 8 ... 397 398 399 400 401 402 403 404
  * i             (i) int32 1 2 3 4 5 6 7 8 ... 795 796 797 798 799 800 801 802
    lat           (j, i) float32 dask.array<chunksize=(404, 802), meta=np.ndarray>
    lon           (j, i) float32 dask.array<chunksize=(404, 802), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds     (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
    lat_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>
    lon_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>
    transiy       (time, j, i) float32 dask.array<chunksize=(600, 404, 802), meta=np.ndarray>
Attributes:
    institution:            Max Planck Institute for Meteorology
    institute_id:           MPI-M
    experiment_id:          historical
    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...
    model_id:               MPI-ESM-MR
    forcing:                GHG,Oz,SD,Sl,Vl,LU
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            42368.0
    contact:                cmip5-mpi-esm@dkrz.de
    history:                Model raw output postprocessing with modelling en...
    references:             ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will t...
    initialization_method:  1
    physics_version:        1
    tracking_id:            28d2380b-99b4-4b68-a434-0669e00adb3f
    product:                output
    experiment:             historical
    frequency:              mon
    creation_date:          2011-11-25T18:46:16Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table OImon (27 April 2011) f04ba250f3acd5b9e847c...
    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...
    parent_experiment:      pre-industrial control
    modeling_realm:         seaIce
    realization:            3
    cmor_version:           2.6.0

xarray.Dataset

Dimensions:
- bnds: 2
- i: 802
- j: 404
- time: 1872
- vertices: 4

Coordinates: (5)

time
(time)
float64
15.5 45.0 ... 5.693e+04 5.696e+04
bounds :
time_bnds
units :
days since 1850-1-1 00:00:00
calendar :
proleptic_gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.69015e+04, 5.69320e+04,
       5.69625e+04])
```
j
(j)
int32
1 2 3 4 5 6 ... 400 401 402 403 404
units :
1
long_name :
cell index along second dimension
```
array([  1,   2,   3, ..., 402, 403, 404], dtype=int32)
```
i
(i)
int32
1 2 3 4 5 6 ... 798 799 800 801 802
units :
1
long_name :
cell index along first dimension
```
array([  1,   2,   3, ..., 800, 801, 802], dtype=int32)
```

lat

(j, i)

float32

dask.array<chunksize=(404, 802), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.30 MB	1.30 MB
Shape	(404, 802)	(404, 802)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(j, i)

float32

dask.array<chunksize=(404, 802), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.30 MB	1.30 MB
Shape	(404, 802)	(404, 802)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(600, 2), meta=np.ndarray>

	Array	Chunk
Bytes	29.95 kB	19.20 kB
Shape	(1872, 2)	(1200, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	9.70 GB	6.22 GB
Shape	(1872, 404, 802, 4)	(1200, 404, 802, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	9.70 GB	6.22 GB
Shape	(1872, 404, 802, 4)	(1200, 404, 802, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

transiy

(time, j, i)

float32

dask.array<chunksize=(600, 404, 802), meta=np.ndarray>

standard_name :: sea_ice_y_transport
long_name :: Y-Component of Sea Ice Mass Transport
comment :: The sea ice mass transport is 0.0 in ice-free regions of the ocean. Snow is included in calculation of mass.
units :: kg s-1
cell_methods :: time: mean
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_MPI-ESM-MR_historical_r0i0p0.nc

	Array	Chunk
Bytes	2.43 GB	1.56 GB
Shape	(1872, 404, 802)	(1200, 404, 802)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
Max Planck Institute for Meteorology
institute_id :
MPI-M
experiment_id :
historical
source :
MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 5051), T63L47; land: JSBACH (REV: 5051); ocean: MPIOM (REV: 5051), GR15L40; sea ice: 5051; marine bgc: HAMOCC (REV: 5051);
model_id :
MPI-ESM-MR
forcing :
GHG,Oz,SD,Sl,Vl,LU
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
42368.0
contact :
cmip5-mpi-esm@dkrz.de
history :
Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3998 2011-11-25T18:45:58Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
references :
ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8; MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127; HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;
initialization_method :
1
physics_version :
1
tracking_id :
28d2380b-99b4-4b68-a434-0669e00adb3f
product :
output
experiment :
historical
frequency :
mon
creation_date :
2011-11-25T18:46:16Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table OImon (27 April 2011) f04ba250f3acd5b9e847c21d5752eb85
title :
MPI-ESM-MR model output prepared for CMIP5 historical
parent_experiment :
pre-industrial control
modeling_realm :
seaIce
realization :
3
cmor_version :
2.6.0