MPI-ESM-P 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/tos_day_MPI-ESM-P_historical_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MPI-ESM-P model output prepared for CMIP5 historical
location	/shared/cmip5/data/historical/ocean/day/day/tos/MPI-M.MPI-ESM-P/r1i1p1
tags	gridded,global,model,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_MPI-ESM-P_historical_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 256, j: 220, time: 38716, vertices: 4)
Coordinates:
  * time          (time) float64 3.835e+05 3.835e+05 ... 4.222e+05 4.222e+05
  * j             (j) int32 1 2 3 4 5 6 7 8 ... 213 214 215 216 217 218 219 220
  * i             (i) int32 1 2 3 4 5 6 7 8 ... 249 250 251 252 253 254 255 256
    lat           (j, i) float32 dask.array<chunksize=(220, 256), meta=np.ndarray>
    lon           (j, i) float32 dask.array<chunksize=(220, 256), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds     (time, bnds) float64 dask.array<chunksize=(3652, 2), meta=np.ndarray>
    lat_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(3652, 220, 256, 4), meta=np.ndarray>
    lon_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(3652, 220, 256, 4), meta=np.ndarray>
    tos           (time, j, i) float32 dask.array<chunksize=(3652, 220, 256), meta=np.ndarray>
Attributes:
    institution:            Max Planck Institute for Meteorology
    institute_id:           MPI-M
    experiment_id:          historical
    source:                 MPI-ESM-P 2011; URL: http://svn.zmaw.de/svn/cosmo...
    model_id:               MPI-ESM-P
    forcing:                GHG Oz SD Sl Vl LU
    parent_experiment_id:   past1000
    parent_experiment_rip:  r1i1p1
    branch_time:            365242.0
    contact:                cmip5-mpi-esm@dkrz.de
    history:                Model raw output postprocessing with modelling en...
    comment:                The historical experiments with MPI-ESM-P differ ...
    references:             ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will t...
    initialization_method:  1
    physics_version:        1
    tracking_id:            a0cde74e-a4c2-4618-a398-23427b17c06a
    product:                output
    experiment:             historical
    frequency:              day
    creation_date:          2012-02-18T07:44:52Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table day (12 January 2012) 7757d80c56ae0b9009f15...
    title:                  MPI-ESM-P model output prepared for CMIP5 historical
    parent_experiment:      last millennium
    modeling_realm:         ocean
    realization:            1
    cmor_version:           2.6.0

xarray.Dataset

Dimensions:
- bnds: 2
- i: 256
- j: 220
- time: 38716
- vertices: 4

Coordinates: (5)

time
(time)
float64
3.835e+05 3.835e+05 ... 4.222e+05
bounds :
time_bnds
units :
days since 850-1-1 00:00:00
calendar :
proleptic_gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([383504.5, 383505.5, 383506.5, ..., 422217.5, 422218.5, 422219.5])
```
j
(j)
int32
1 2 3 4 5 6 ... 216 217 218 219 220
units :
1
long_name :
cell index along second dimension
```
array([  1,   2,   3, ..., 218, 219, 220], dtype=int32)
```
i
(i)
int32
1 2 3 4 5 6 ... 252 253 254 255 256
units :
1
long_name :
cell index along first dimension
```
array([  1,   2,   3, ..., 254, 255, 256], dtype=int32)
```

lat

(j, i)

float32

dask.array<chunksize=(220, 256), meta=np.ndarray>

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

	Array	Chunk
Bytes	225.28 kB	225.28 kB
Shape	(220, 256)	(220, 256)
Count	50 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(j, i)

float32

dask.array<chunksize=(220, 256), meta=np.ndarray>

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

	Array	Chunk
Bytes	225.28 kB	225.28 kB
Shape	(220, 256)	(220, 256)
Count	50 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(3652, 2), meta=np.ndarray>

	Array	Chunk
Bytes	619.46 kB	58.45 kB
Shape	(38716, 2)	(3653, 2)
Count	33 Tasks	11 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(3652, 220, 256, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	34.89 GB	3.29 GB
Shape	(38716, 220, 256, 4)	(3653, 220, 256, 4)
Count	44 Tasks	11 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(3652, 220, 256, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	34.89 GB	3.29 GB
Shape	(38716, 220, 256, 4)	(3653, 220, 256, 4)
Count	44 Tasks	11 Chunks
Type	float32	numpy.ndarray

tos

(time, j, i)

float32

dask.array<chunksize=(3652, 220, 256), meta=np.ndarray>

standard_name :: surface_temperature
long_name :: Sea Surface Temperature
comment :: temperature of liquid ocean. Note that the correct standard_name for this variable is ""sea_surface_temperature"", not ""surface_temperature"", but this was discovered too late to correct. To maintain consistency across CMIP5 models, the wrong standard_name will continue to be used.
units :: K
cell_methods :: time: mean
cell_measures :: area: areacello
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MPI-ESM-P_historical_r0i0p0.nc areacello: areacello_fx_MPI-ESM-P_historical_r0i0p0.nc

	Array	Chunk
Bytes	8.72 GB	822.95 MB
Shape	(38716, 220, 256)	(3653, 220, 256)
Count	33 Tasks	11 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
Max Planck Institute for Meteorology
institute_id :
MPI-M
experiment_id :
historical
source :
MPI-ESM-P 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-P
forcing :
GHG Oz SD Sl Vl LU
parent_experiment_id :
past1000
parent_experiment_rip :
r1i1p1
branch_time :
365242.0
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: 4304 2012-02-18T07:44:52Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
comment :
The historical experiments with MPI-ESM-P differ from those based on MPI-ESM-LR in the choice of boundary conditions: orbit (prescribed orbital parameters (PMIP3) instead of calendar-based orbit);land-cover-changes (use of historical land-cover-change maps
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 :
a0cde74e-a4c2-4618-a398-23427b17c06a
product :
output
experiment :
historical
frequency :
day
creation_date :
2012-02-18T07:44:52Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table day (12 January 2012) 7757d80c56ae0b9009f150afa4850c4e
title :
MPI-ESM-P model output prepared for CMIP5 historical
parent_experiment :
last millennium
modeling_realm :
ocean
realization :
1
cmor_version :
2.6.0