CESM1-FASTCHEM model output prepared for CMIP5 pre-industrial control

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_CESM1-FASTCHEM_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CESM1-FASTCHEM model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/ocean/mon/Omon/thetao/NSF-DOE-NCAR.CESM1-FASTCHEM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CESM1-FASTCHEM_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 320, j: 384, lev: 60, time: 2664, vertices: 4)
Coordinates:
  * time          (time) float64 2.557e+04 2.56e+04 ... 1.065e+05 1.066e+05
  * lev           (lev) float64 5.0 15.0 25.0 ... 4.875e+03 5.125e+03 5.375e+03
  * j             (j) int32 1 2 3 4 5 6 7 8 ... 377 378 379 380 381 382 383 384
  * i             (i) int32 1 2 3 4 5 6 7 8 ... 313 314 315 316 317 318 319 320
    lat           (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray>
    lon           (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds     (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
    lev_bnds      (time, lev, bnds) float64 dask.array<chunksize=(120, 60, 2), meta=np.ndarray>
    lat_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(120, 384, 320, 4), meta=np.ndarray>
    lon_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(120, 384, 320, 4), meta=np.ndarray>
    thetao        (time, lev, j, i) float32 dask.array<chunksize=(120, 60, 384, 320), meta=np.ndarray>
Attributes:
    institution:                  NSF/DOE NCAR (National Center for Atmospher...
    institute_id:                 NSF-DOE-NCAR
    experiment_id:                piControl
    source:                       CESM1-FASTCHEM
    model_id:                     CESM1-FASTCHEM
    forcing:                      Sl GHG SS Ds SD BC MD OC Oz AA (all fixed a...
    parent_experiment_id:         N/A
    parent_experiment_rip:        N/A
    branch_time:                  0.0
    contact:                      cesm_data@ucar.edu
    comment:                      CESM home page: http://www.cesm.ucar.edu
    references:                   TBD
    initialization_method:        1
    physics_version:              1
    tracking_id:                  eb581c0e-89c0-4ab8-8a59-3f9a84da4f4e
    acknowledgements:             The CESM project is supported by the Nation...
    cesm_casename:                trk1_1deg_chm_1850_b55.01
    cesm_repotag:                 ccsm4_0_beta55
    cesm_compset:                 B_1850_CN_CHEM
    resolution:                   f09_g16 (0.9x1.25_gx1v6)
    forcing_note:                 Additional information on the external forc...
    processed_by:                 strandwg on silver.cgd.ucar.edu at 20120522...
    processing_code_information:  Last Changed Rev: 786 Last Changed Date: 20...
    product:                      output
    experiment:                   pre-industrial control
    frequency:                    mon
    creation_date:                2012-05-22T17:47:27Z
    history:                      2012-05-22T17:47:27Z CMOR rewrote data to c...
    Conventions:                  CF-1.4
    project_id:                   CMIP5
    table_id:                     Table Omon (12 January 2012) 980e0aeb02de42...
    title:                        CESM1-FASTCHEM model output prepared for CM...
    parent_experiment:            N/A
    modeling_realm:               ocean
    realization:                  1
    cmor_version:                 2.8.1

xarray.Dataset

Dimensions:
- bnds: 2
- i: 320
- j: 384
- lev: 60
- time: 2664
- vertices: 4

Coordinates: (6)

time
(time)
float64
2.557e+04 2.56e+04 ... 1.066e+05
bounds :
time_bnds
units :
days since 0000-01-01 00:00:00
calendar :
noleap
axis :
T
long_name :
time
standard_name :
time
```
array([ 25565.5,  25595. ,  25624.5, ..., 106503.5, 106534. , 106564.5])
```

lev

(lev)

float64

5.0 15.0 ... 5.125e+03 5.375e+03

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

array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01,
       5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01,
       1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02,
       1.550000e+02, 1.650984e+02, 1.754790e+02, 1.862913e+02, 1.976603e+02,
       2.097114e+02, 2.225783e+02, 2.364088e+02, 2.513702e+02, 2.676542e+02,
       2.854837e+02, 3.051192e+02, 3.268680e+02, 3.510935e+02, 3.782276e+02,
       4.087846e+02, 4.433777e+02, 4.827367e+02, 5.277280e+02, 5.793729e+02,
       6.388626e+02, 7.075633e+02, 7.870025e+02, 8.788252e+02, 9.847059e+02,
       1.106204e+03, 1.244567e+03, 1.400497e+03, 1.573946e+03, 1.764003e+03,
       1.968944e+03, 2.186457e+03, 2.413972e+03, 2.649001e+03, 2.889385e+03,
       3.133405e+03, 3.379793e+03, 3.627670e+03, 3.876452e+03, 4.125768e+03,
       4.375392e+03, 4.625190e+03, 4.875083e+03, 5.125028e+03, 5.375000e+03])

j
(j)
int32
1 2 3 4 5 6 ... 380 381 382 383 384
units :
1
long_name :
cell index along second dimension
```
array([  1,   2,   3, ..., 382, 383, 384], dtype=int32)
```
i
(i)
int32
1 2 3 4 5 6 ... 316 317 318 319 320
units :
1
long_name :
cell index along first dimension
```
array([  1,   2,   3, ..., 318, 319, 320], dtype=int32)
```

lat

(j, i)

float32

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

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

	Array	Chunk
Bytes	491.52 kB	491.52 kB
Shape	(384, 320)	(384, 320)
Count	110 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(j, i)

float32

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

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

	Array	Chunk
Bytes	491.52 kB	491.52 kB
Shape	(384, 320)	(384, 320)
Count	110 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (5)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(120, 2), meta=np.ndarray>

	Array	Chunk
Bytes	42.62 kB	1.92 kB
Shape	(2664, 2)	(120, 2)
Count	69 Tasks	23 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(120, 60, 2), meta=np.ndarray>

	Array	Chunk
Bytes	2.56 MB	115.20 kB
Shape	(2664, 60, 2)	(120, 60, 2)
Count	92 Tasks	23 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(120, 384, 320, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	5.24 GB	235.93 MB
Shape	(2664, 384, 320, 4)	(120, 384, 320, 4)
Count	92 Tasks	23 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(120, 384, 320, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	5.24 GB	235.93 MB
Shape	(2664, 384, 320, 4)	(120, 384, 320, 4)
Count	92 Tasks	23 Chunks
Type	float32	numpy.ndarray

thetao

(time, lev, j, i)

float32

dask.array<chunksize=(120, 60, 384, 320), meta=np.ndarray>

standard_name :: sea_water_potential_temperature
long_name :: Sea Water Potential Temperature
units :: K
original_name :: TEMP
comment :: TEMP no change, units from C to K
original_units :: degC
history :: 2012-05-22T17:47:27Z altered by CMOR: Converted units from 'degC' to 'K'. 2012-05-22T17:47:27Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20).
cell_methods :: time: mean (interval: 30 days)
cell_measures :: area: areacello volume: volcello
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CESM1-FASTCHEM_piControl_r0i0p0.nc areacello: areacello_fx_CESM1-FASTCHEM_piControl_r0i0p0.nc volcello: volcello_fx_CESM1-FASTCHEM_piControl_r0i0p0.nc

	Array	Chunk
Bytes	78.56 GB	3.54 GB
Shape	(2664, 60, 384, 320)	(120, 60, 384, 320)
Count	69 Tasks	23 Chunks
Type	float32	numpy.ndarray

Attributes: (36)
institution :
NSF/DOE NCAR (National Center for Atmospheric Research) Boulder, CO, USA
institute_id :
NSF-DOE-NCAR
experiment_id :
piControl
source :
CESM1-FASTCHEM
model_id :
CESM1-FASTCHEM
forcing :
Sl GHG SS Ds SD BC MD OC Oz AA (all fixed at 1850 values)
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
cesm_data@ucar.edu
comment :
CESM home page: http://www.cesm.ucar.edu
references :
TBD
initialization_method :
1
physics_version :
1
tracking_id :
eb581c0e-89c0-4ab8-8a59-3f9a84da4f4e
acknowledgements :
The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. NCAR is sponsored by the National Science Foundation. Computing resources were provided by the Climate Simulation Laboratory at the NCAR Computational and Information Systems Laboratory (CISL), sponsored by the National Science Foundation and other agencies.
cesm_casename :
trk1_1deg_chm_1850_b55.01
cesm_repotag :
ccsm4_0_beta55
cesm_compset :
B_1850_CN_CHEM
resolution :
f09_g16 (0.9x1.25_gx1v6)
forcing_note :
Additional information on the external forcings used in this experiment can be found at http://www.cesm.ucar.edu/CMIP5/forcing_information
processed_by :
strandwg on silver.cgd.ucar.edu at 20120522 -114727.213
processing_code_information :
Last Changed Rev: 786 Last Changed Date: 2012-05-21 16:23:02 -0600 (Mon, 21 May 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
product :
output
experiment :
pre-industrial control
frequency :
mon
creation_date :
2012-05-22T17:47:27Z
history :
2012-05-22T17:47:27Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Omon (12 January 2012) 980e0aeb02de4233251f100571014e41
title :
CESM1-FASTCHEM model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
ocean
realization :
1
cmor_version :
2.8.1