thetao_Omon_CESM2-WACCM_piControl_r1i1p1f1_gn

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_CESM2-WACCM_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()

Metadata

title	thetao_Omon_CESM2-WACCM_piControl_r1i1p1f1_gn
location	/shared/cmip6/data/piControl/ocean/mon/Omon/thetao/NCAR.CESM2-WACCM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CESM2-WACCM_piControl_r1i1p1f1_gn.yaml
last updated	2020-10-05

Dataset Contents

<xarray.Dataset>
Dimensions:    (d2: 2, lev: 60, nlat: 384, nlon: 320, time: 5988, vertices: 4)
Coordinates:
    lat        (nlat, nlon) float64 dask.array<chunksize=(384, 320), meta=np.ndarray>
  * lev        (lev) float64 500.0 1.5e+03 2.5e+03 ... 5.125e+05 5.375e+05
    lon        (nlat, nlon) float64 dask.array<chunksize=(384, 320), meta=np.ndarray>
  * nlat       (nlat) int32 1 2 3 4 5 6 7 8 ... 377 378 379 380 381 382 383 384
  * nlon       (nlon) int32 1 2 3 4 5 6 7 8 ... 313 314 315 316 317 318 319 320
  * time       (time) float64 14.54 44.0 73.5 ... 1.821e+05 1.821e+05 1.821e+05
Dimensions without coordinates: d2, vertices
Data variables:
    thetao     (time, lev, nlat, nlon) float32 dask.array<chunksize=(1188, 60, 384, 320), meta=np.ndarray>
    time_bnds  (time, d2) float64 dask.array<chunksize=(1188, 2), meta=np.ndarray>
    lat_bnds   (time, nlat, nlon, vertices) float32 dask.array<chunksize=(1188, 384, 320, 4), meta=np.ndarray>
    lon_bnds   (time, nlat, nlon, vertices) float32 dask.array<chunksize=(1188, 384, 320, 4), meta=np.ndarray>
    lev_bnds   (time, lev, d2) float32 dask.array<chunksize=(1188, 60, 2), meta=np.ndarray>
Attributes:
    Conventions:            CF-1.7 CMIP-6.2
    activity_id:            CMIP
    case_id:                1
    cesm_casename:          b.e21.BW1850.f09_g17.CMIP6-piControl.001
    contact:                cesm_cmip6@ucar.edu
    creation_date:          2019-01-29T16:54:00Z
    data_specs_version:     01.00.29
    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.NCAR.CESM2-W...
    grid:                   native gx1v7 displaced pole grid (384x320 latxlon)
    grid_label:             gn
    initialization_index:   1
    institution:            National Center for Atmospheric Research, Climate...
    institution_id:         NCAR
    license:                CMIP6 model data produced by <The National Center...
    mip_era:                CMIP6
    model_doi_url:          https://doi.org/10.5065/D67H1H0V
    nominal_resolution:     100 km
    parent_mip_era:         CMIP6
    parent_source_id:       CESM2-WACCM
    parent_time_units:      days since 0001-01-01 00:00:00
    physics_index:          1
    product:                model-output
    realization_index:      1
    realm:                  ocean
    source:                 CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite v...
    source_id:              CESM2-WACCM
    source_type:            AOGCM BGC CHEM AER
    sub_experiment:         none
    sub_experiment_id:      none
    table_id:               Omon
    tracking_id:            hdl:21.14100/cf932d20-889b-4ac4-9c21-dbd62287cdf1
    variable_id:            thetao
    variant_info:           CMIP6 CESM2 piControl experiment with high-top at...
    variant_label:          r1i1p1f1
    parent_experiment_id:   piControl-spinup
    parent_activity_id:     CMIP
    parent_variant_label:   r1i1p1f1
    branch_time_in_parent:  48545.0
    branch_time_in_child:   0.0
    branch_method:          standard

xarray.Dataset

Dimensions:
- d2: 2
- lev: 60
- nlat: 384
- nlon: 320
- time: 5988
- vertices: 4

Coordinates: (6)

lat

(nlat, nlon)

float64

dask.array<chunksize=(384, 320), meta=np.ndarray>

axis :: Y
bounds :: lat_bnds
standard_name :: latitude
title :: Latitude
type :: double
units :: degrees_north
valid_max :: 90.0
valid_min :: -90.0

	Array	Chunk
Bytes	983.04 kB	983.04 kB
Shape	(384, 320)	(384, 320)
Count	30 Tasks	1 Chunks
Type	float64	numpy.ndarray

lev

(lev)

float64

500.0 1.5e+03 ... 5.375e+05

axis :: Z
bounds :: lev_bnds
positive :: down
standard_name :: olevel
title :: ocean model level
type :: double
units :: centimeters

array([5.000000e+02, 1.500000e+03, 2.500000e+03, 3.500000e+03, 4.500000e+03,
       5.500000e+03, 6.500000e+03, 7.500000e+03, 8.500000e+03, 9.500000e+03,
       1.050000e+04, 1.150000e+04, 1.250000e+04, 1.350000e+04, 1.450000e+04,
       1.550000e+04, 1.650984e+04, 1.754790e+04, 1.862913e+04, 1.976603e+04,
       2.097114e+04, 2.225783e+04, 2.364088e+04, 2.513702e+04, 2.676542e+04,
       2.854837e+04, 3.051192e+04, 3.268680e+04, 3.510935e+04, 3.782276e+04,
       4.087846e+04, 4.433777e+04, 4.827367e+04, 5.277280e+04, 5.793729e+04,
       6.388626e+04, 7.075633e+04, 7.870025e+04, 8.788252e+04, 9.847059e+04,
       1.106204e+05, 1.244567e+05, 1.400497e+05, 1.573946e+05, 1.764003e+05,
       1.968944e+05, 2.186457e+05, 2.413972e+05, 2.649001e+05, 2.889385e+05,
       3.133405e+05, 3.379793e+05, 3.627670e+05, 3.876452e+05, 4.125768e+05,
       4.375392e+05, 4.625190e+05, 4.875083e+05, 5.125028e+05, 5.375000e+05])

lon

(nlat, nlon)

float64

dask.array<chunksize=(384, 320), meta=np.ndarray>

axis :: X
bounds :: lon_bnds
standard_name :: longitude
title :: Longitude
type :: double
units :: degrees_east
valid_max :: 360.0
valid_min :: 0.0

	Array	Chunk
Bytes	983.04 kB	983.04 kB
Shape	(384, 320)	(384, 320)
Count	30 Tasks	1 Chunks
Type	float64	numpy.ndarray

nlat
(nlat)
int32
1 2 3 4 5 6 ... 380 381 382 383 384
long_name :
cell index along second dimension
units :
1
```
array([  1,   2,   3, ..., 382, 383, 384], dtype=int32)
```
nlon
(nlon)
int32
1 2 3 4 5 6 ... 316 317 318 319 320
long_name :
cell index along first dimension
units :
1
```
array([  1,   2,   3, ..., 318, 319, 320], dtype=int32)
```
time
(time)
float64
14.54 44.0 ... 1.821e+05 1.821e+05
axis :
T
bounds :
time_bnds
standard_name :
time
title :
time
type :
double
units :
days since 0001-01-01 00:00:00
calendar :
noleap
```
array([1.454167e+01, 4.400000e+01, 7.350000e+01, ..., 1.820575e+05,
       1.820880e+05, 1.821185e+05])
```

Data variables: (5)

thetao

(time, lev, nlat, nlon)

float32

dask.array<chunksize=(1188, 60, 384, 320), meta=np.ndarray>

cell_measures :: area: areacello volume: volcello
cell_methods :: area: mean where sea time: mean
comment :: Diagnostic should be contributed even for models using conservative temperature as prognostic field.
description :: Diagnostic should be contributed even for models using conservative temperature as prognostic field.
frequency :: mon
id :: thetao
long_name :: Sea Water Potential Temperature
mipTable :: Omon
out_name :: thetao
prov :: Omon ((isd.003))
realm :: ocean
standard_name :: sea_water_potential_temperature
time :: time
time_label :: time-mean
time_title :: Temporal mean
title :: Sea Water Potential Temperature
type :: real
units :: degC
variable_id :: thetao

	Array	Chunk
Bytes	176.59 GB	35.39 GB
Shape	(5988, 60, 384, 320)	(1200, 60, 384, 320)
Count	21 Tasks	7 Chunks
Type	float32	numpy.ndarray

time_bnds

(time, d2)

float64

dask.array<chunksize=(1188, 2), meta=np.ndarray>

calendar :: noleap
units :: days since 0001-01-01 00:00:00

	Array	Chunk
Bytes	95.81 kB	19.20 kB
Shape	(5988, 2)	(1200, 2)
Count	21 Tasks	7 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, nlat, nlon, vertices)

float32

dask.array<chunksize=(1188, 384, 320, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	11.77 GB	2.36 GB
Shape	(5988, 384, 320, 4)	(1200, 384, 320, 4)
Count	28 Tasks	7 Chunks
Type	float32	numpy.ndarray

lon_bnds

(time, nlat, nlon, vertices)

float32

dask.array<chunksize=(1188, 384, 320, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	11.77 GB	2.36 GB
Shape	(5988, 384, 320, 4)	(1200, 384, 320, 4)
Count	28 Tasks	7 Chunks
Type	float32	numpy.ndarray

lev_bnds

(time, lev, d2)

float32

dask.array<chunksize=(1188, 60, 2), meta=np.ndarray>

units :: m

	Array	Chunk
Bytes	2.87 MB	576.00 kB
Shape	(5988, 60, 2)	(1200, 60, 2)
Count	28 Tasks	7 Chunks
Type	float32	numpy.ndarray

Attributes: (45)
Conventions :
CF-1.7 CMIP-6.2
activity_id :
CMIP
case_id :
1
cesm_casename :
b.e21.BW1850.f09_g17.CMIP6-piControl.001
contact :
cesm_cmip6@ucar.edu
creation_date :
2019-01-29T16:54:00Z
data_specs_version :
01.00.29
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.NCAR.CESM2-WACCM.piControl.none.r1i1p1f1
grid :
native gx1v7 displaced pole grid (384x320 latxlon)
grid_label :
gn
initialization_index :
1
institution :
National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA
institution_id :
NCAR
license :
CMIP6 model data produced by <The National Center for Atmospheric Research> 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)[]. 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.
mip_era :
CMIP6
model_doi_url :
https://doi.org/10.5065/D67H1H0V
nominal_resolution :
100 km
parent_mip_era :
CMIP6
parent_source_id :
CESM2-WACCM
parent_time_units :
days since 0001-01-01 00:00:00
physics_index :
1
product :
model-output
realization_index :
1
realm :
ocean
source :
CESM2 (2017): atmosphere: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-6 mb); ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m); sea_ice: CICE5.1 (same grid as ocean); land: CLM5 0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-6 mb); aerosol: MAM4 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-6 mb); atmosChem: WACCM (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-6 mb; landIce: CISM2.1; ocnBgchem: MARBL (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m)
source_id :
CESM2-WACCM
source_type :
AOGCM BGC CHEM AER
sub_experiment :
none
sub_experiment_id :
none
table_id :
Omon
tracking_id :
hdl:21.14100/cf932d20-889b-4ac4-9c21-dbd62287cdf1
variable_id :
thetao
variant_info :
CMIP6 CESM2 piControl experiment with high-top atmosphere (WACCM6) with interactive chemistry (TSMLT1), interactive land (CLM5), coupled ocean (POP2) with biogeochemistry (MARBL), interactive sea ice (CICE5.1), and non-evolving land ice (CISM2.1)
variant_label :
r1i1p1f1
parent_experiment_id :
piControl-spinup
parent_activity_id :
CMIP
parent_variant_label :
r1i1p1f1
branch_time_in_parent :
48545.0
branch_time_in_child :
0.0
branch_method :
standard