MPI-ESM-1-2-HAM output prepared for CMIP6

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()

Metadata

title	MPI-ESM-1-2-HAM output prepared for CMIP6
location	/shared/cmip6/data/piControl/ocean/mon/Omon/thetao/MPI-ESM-1-2-HAM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn.yaml
last updated	2020-10-22

Dataset Contents

<xarray.Dataset>
Dimensions:             (bnds: 2, i: 256, j: 220, lev: 40, time: 9360, vertices: 4)
Coordinates:
  * time                (time) float64 15.5 45.0 74.5 ... 2.848e+05 2.849e+05
  * lev                 (lev) float64 6.0 17.0 27.0 ... 5.17e+03 5.72e+03
  * j                   (j) int32 0 1 2 3 4 5 6 ... 213 214 215 216 217 218 219
  * i                   (i) int32 0 1 2 3 4 5 6 ... 249 250 251 252 253 254 255
    latitude            (j, i) float64 dask.array<chunksize=(220, 256), meta=np.ndarray>
    longitude           (j, i) float64 dask.array<chunksize=(220, 256), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds           (time, bnds) float64 dask.array<chunksize=(240, 2), meta=np.ndarray>
    lev_bnds            (time, lev, bnds) float64 dask.array<chunksize=(240, 40, 2), meta=np.ndarray>
    vertices_latitude   (time, j, i, vertices) float64 dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
    vertices_longitude  (time, j, i, vertices) float64 dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
    thetao              (time, lev, j, i) float32 dask.array<chunksize=(240, 40, 220, 256), meta=np.ndarray>
Attributes:
    Conventions:            CF-1.7 CMIP-6.2
    activity_id:            CMIP
    branch_method:          standard
    branch_time_in_child:   0.0
    branch_time_in_parent:  0.0
    contact:                david.neubauer@env.ethz.ch
    creation_date:          2019-12-07T13:16:10Z
    data_specs_version:     01.00.30
    experiment:             pre-industrial control
    experiment_id:          piControl
    external_variables:     areacello volcello
    forcing_index:          1
    frequency:              mon
    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.MPI-M.MPI-ES...
    grid:                   gn
    grid_label:             gn
    history:                2019-12-07T13:16:10Z ; CMOR rewrote data to be co...
    initialization_index:   1
    institution:            ETH Zurich, Switzerland; Max Planck Institut fur ...
    institution_id:         HAMMOZ-Consortium
    mip_era:                CMIP6
    nominal_resolution:     250 km
    parent_activity_id:     CMIP
    parent_experiment_id:   piControl-spinup
    parent_mip_era:         CMIP6
    parent_source_id:       MPI-ESM-1-2-HAM
    parent_time_units:      days since 1850-1-1 00:00:00
    parent_variant_label:   r1i1p1f1
    physics_index:          1
    product:                model-output
    project_id:             CMIP6
    realization_index:      1
    realm:                  ocean
    references:             MPI-ESM1.2-HAM: Mauritsen, T. et al. (2019), Deve...
    source:                 MPI-ESM1.2-HAM (2017): 
aerosol: HAM2.3
atmos: ...
    source_id:              MPI-ESM-1-2-HAM
    source_type:            AOGCM
    sub_experiment:         none
    sub_experiment_id:      none
    table_id:               Omon
    table_info:             Creation Date:(09 May 2019) MD5:e6ef8ececc8f33864...
    title:                  MPI-ESM-1-2-HAM output prepared for CMIP6
    variable_id:            thetao
    variant_label:          r1i1p1f1
    license:                CMIP6 model data produced by the HAMMOZ-Consortiu...
    cmor_version:           3.5.0
    tracking_id:            hdl:21.14100/b531aca3-3ea2-4c6b-b510-84bd4bd2f6ab

xarray.Dataset

Dimensions:
- bnds: 2
- i: 256
- j: 220
- lev: 40
- time: 9360
- vertices: 4

Coordinates: (6)

time
(time)
float64
15.5 45.0 ... 2.848e+05 2.849e+05
bounds :
time_bnds
units :
days since 1850-1-1 00:00:00
calendar :
proleptic_gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 2.848125e+05,
       2.848430e+05, 2.848735e+05])
```

lev

(lev)

float64

6.0 17.0 27.0 ... 5.17e+03 5.72e+03

bounds :: lev_bnds
units :: m
axis :: Z
positive :: down
long_name :: ocean depth coordinate
standard_name :: depth

array([   6. ,   17. ,   27. ,   37. ,   47. ,   57. ,   68.5,   82.5,  100. ,
        122.5,  150. ,  182.5,  220. ,  262.5,  310. ,  362.5,  420. ,  485. ,
        560. ,  645. ,  740. ,  845. ,  960. , 1085. , 1220. , 1365. , 1525. ,
       1700. , 1885. , 2080. , 2290. , 2525. , 2785. , 3070. , 3395. , 3770. ,
       4195. , 4670. , 5170. , 5720. ])

j
(j)
int32
0 1 2 3 4 5 ... 215 216 217 218 219
units :
1
long_name :
cell index along second dimension
```
array([  0,   1,   2, ..., 217, 218, 219], dtype=int32)
```
i
(i)
int32
0 1 2 3 4 5 ... 251 252 253 254 255
units :
1
long_name :
cell index along first dimension
```
array([  0,   1,   2, ..., 253, 254, 255], dtype=int32)
```

latitude

(j, i)

float64

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

standard_name :: latitude
long_name :: latitude
units :: degrees_north
bounds :: vertices_latitude

	Array	Chunk
Bytes	450.56 kB	450.56 kB
Shape	(220, 256)	(220, 256)
Count	190 Tasks	1 Chunks
Type	float64	numpy.ndarray

longitude

(j, i)

float64

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

standard_name :: longitude
long_name :: longitude
units :: degrees_east
bounds :: vertices_longitude

	Array	Chunk
Bytes	450.56 kB	450.56 kB
Shape	(220, 256)	(220, 256)
Count	190 Tasks	1 Chunks
Type	float64	numpy.ndarray

Data variables: (5)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(240, 2), meta=np.ndarray>

	Array	Chunk
Bytes	149.76 kB	3.84 kB
Shape	(9360, 2)	(240, 2)
Count	117 Tasks	39 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(240, 40, 2), meta=np.ndarray>

	Array	Chunk
Bytes	5.99 MB	153.60 kB
Shape	(9360, 40, 2)	(240, 40, 2)
Count	156 Tasks	39 Chunks
Type	float64	numpy.ndarray

vertices_latitude

(time, j, i, vertices)

float64

dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	16.87 GB	432.54 MB
Shape	(9360, 220, 256, 4)	(240, 220, 256, 4)
Count	156 Tasks	39 Chunks
Type	float64	numpy.ndarray

vertices_longitude

(time, j, i, vertices)

float64

dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	16.87 GB	432.54 MB
Shape	(9360, 220, 256, 4)	(240, 220, 256, 4)
Count	156 Tasks	39 Chunks
Type	float64	numpy.ndarray

thetao

(time, lev, j, i)

float32

dask.array<chunksize=(240, 40, 220, 256), meta=np.ndarray>

standard_name :: sea_water_potential_temperature
long_name :: Sea Water Potential Temperature
comment :: Diagnostic should be contributed even for models using conservative temperature as prognostic field.
units :: degC
original_name :: thetao
cell_methods :: area: mean where sea time: mean
cell_measures :: area: areacello volume: volcello
history :: 2019-12-07T13:16:10Z altered by CMOR: replaced missing value flag (-9e+33) and corresponding data with standard missing value (1e+20).

	Array	Chunk
Bytes	84.34 GB	2.16 GB
Shape	(9360, 40, 220, 256)	(240, 40, 220, 256)
Count	117 Tasks	39 Chunks
Type	float32	numpy.ndarray

Attributes: (47)
Conventions :
CF-1.7 CMIP-6.2
activity_id :
CMIP
branch_method :
standard
branch_time_in_child :
0.0
branch_time_in_parent :
0.0
contact :
david.neubauer@env.ethz.ch
creation_date :
2019-12-07T13:16:10Z
data_specs_version :
01.00.30
experiment :
pre-industrial control
experiment_id :
piControl
external_variables :
areacello volcello
forcing_index :
1
frequency :
mon
further_info_url :
https://furtherinfo.es-doc.org/CMIP6.MPI-M.MPI-ESM-1-2-HAM.piControl.none.r1i1p1f1
grid :
gn
grid_label :
gn
history :
2019-12-07T13:16:10Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
initialization_index :
1
institution :
ETH Zurich, Switzerland; Max Planck Institut fur Meteorologie, Germany; Forschungszentrum Julich, Germany; University of Oxford, UK; Finnish Meteorological Institute, Finland; Leibniz Institute for Tropospheric Research, Germany; Center for Climate Systems Modeling (C2SM) at ETH Zurich, Switzerland
institution_id :
HAMMOZ-Consortium
mip_era :
CMIP6
nominal_resolution :
250 km
parent_activity_id :
CMIP
parent_experiment_id :
piControl-spinup
parent_mip_era :
CMIP6
parent_source_id :
MPI-ESM-1-2-HAM
parent_time_units :
days since 1850-1-1 00:00:00
parent_variant_label :
r1i1p1f1
physics_index :
1
product :
model-output
project_id :
CMIP6
realization_index :
1
realm :
ocean
references :
MPI-ESM1.2-HAM: Mauritsen, T. et al. (2019), Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400, Tegen, I. et al. (2019), The global aerosolclimate model ECHAM6.3HAM2.3 Part 1: Aerosol evaluation, Geosci. Model Dev., 12, 16431677, https://doi.org/10.5194/gmd-12-1643-2019
source :
MPI-ESM1.2-HAM (2017): aerosol: HAM2.3 atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa) atmosChem: sulfur chemistry (unnamed) land: JSBACH 3.20 landIce: none ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m) ocnBgchem: HAMOCC6 seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model)
source_id :
MPI-ESM-1-2-HAM
source_type :
AOGCM
sub_experiment :
none
sub_experiment_id :
none
table_id :
Omon
table_info :
Creation Date:(09 May 2019) MD5:e6ef8ececc8f338646ebfb3aeed36bfc
title :
MPI-ESM-1-2-HAM output prepared for CMIP6
variable_id :
thetao
variant_label :
r1i1p1f1
license :
CMIP6 model data produced by the HAMMOZ-Consortium is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
cmor_version :
3.5.0
tracking_id :
hdl:21.14100/b531aca3-3ea2-4c6b-b510-84bd4bd2f6ab