CMCC-CESM 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/ua_Amon_CMCC-CESM_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CMCC-CESM model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/atmos/mon/Amon/ua/CMCC.CMCC-CESM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_Amon_CMCC-CESM_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 48, lon: 96, plev: 33, time: 3324)
Coordinates:
  * time       (time) float64 15.5 45.5 75.5 106.0 ... 258.0 288.5 319.0 349.5
  * plev       (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 10.0 4.0 2.0 1.0
  * lat        (lat) float64 -87.16 -83.48 -79.78 -76.07 ... 79.78 83.48 87.16
  * lon        (lon) float64 0.0 3.75 7.5 11.25 15.0 ... 345.0 348.8 352.5 356.2
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(72, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(72, 48, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(72, 96, 2), meta=np.ndarray>
    ua         (time, plev, lat, lon) float32 dask.array<chunksize=(72, 33, 48, 96), meta=np.ndarray>
Attributes:
    institution:            CMCC - Centro Euro-Mediterraneo per i Cambiamenti...
    institute_id:           CMCC
    experiment_id:          piControl
    source:                 CMCC-CESM
    model_id:               CMCC-CESM
    forcing:                Nat,Ant,GHG,SA,Oz,Sl
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                Marcello Vichi (marcello.vichi@cmcc.it)
    history:                Model output postprocessed with Afterburner and C...
    comment:                Equilibrium reached after more than 1500-year spi...
    references:             model described in the documentation at http://ww...
    initialization_method:  1
    physics_version:        1
    tracking_id:            12c23e87-97ac-43eb-9083-fa60070dd5c2
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2012-08-16T12:19:19Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
    title:                  CMCC-CESM model output prepared for CMIP5 pre-ind...
    parent_experiment:      N/A
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.7.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 48
- lon: 96
- plev: 33
- time: 3324

Coordinates: (4)

time
(time)
float64
15.5 45.5 75.5 ... 319.0 349.5
bounds :
time_bnds
calendar :
standard
axis :
T
long_name :
time
standard_name :
time
```
array([ 15.5,  45.5,  75.5, ..., 288.5, 319. , 349.5])
```

plev

(plev)

float64

1e+05 9.25e+04 8.5e+04 ... 2.0 1.0

units :: Pa
axis :: Z
positive :: down
long_name :: pressure
standard_name :: air_pressure

array([1.00e+05, 9.25e+04, 8.50e+04, 7.00e+04, 6.00e+04, 5.00e+04, 4.00e+04,
       3.00e+04, 2.50e+04, 2.00e+04, 1.70e+04, 1.50e+04, 1.30e+04, 1.15e+04,
       1.00e+04, 9.00e+03, 8.00e+03, 7.00e+03, 5.00e+03, 3.00e+03, 2.00e+03,
       1.00e+03, 7.00e+02, 5.00e+02, 3.00e+02, 2.00e+02, 1.00e+02, 4.00e+01,
       2.00e+01, 1.00e+01, 4.00e+00, 2.00e+00, 1.00e+00])

lat

(lat)

float64

-87.16 -83.48 ... 83.48 87.16

bounds :: lat_bnds
units :: degrees_north
axis :: Y
long_name :: latitude
standard_name :: latitude

array([-87.159095, -83.478937, -79.777046, -76.070244, -72.361581, -68.652017,
       -64.941949, -61.231573, -57.520994, -53.810274, -50.099453, -46.388558,
       -42.677606, -38.96661 , -35.25558 , -31.544523, -27.833444, -24.122348,
       -20.411238, -16.700118, -12.988989,  -9.277853,  -5.566714,  -1.855571,
         1.855571,   5.566714,   9.277853,  12.988989,  16.700118,  20.411238,
        24.122348,  27.833444,  31.544523,  35.25558 ,  38.96661 ,  42.677606,
        46.388558,  50.099453,  53.810274,  57.520994,  61.231573,  64.941949,
        68.652017,  72.361581,  76.070244,  79.777046,  83.478937,  87.159095])

lon

(lon)

float64

0.0 3.75 7.5 ... 348.8 352.5 356.2

bounds :: lon_bnds
units :: degrees_east
axis :: X
long_name :: longitude
standard_name :: longitude

array([  0.  ,   3.75,   7.5 ,  11.25,  15.  ,  18.75,  22.5 ,  26.25,  30.  ,
        33.75,  37.5 ,  41.25,  45.  ,  48.75,  52.5 ,  56.25,  60.  ,  63.75,
        67.5 ,  71.25,  75.  ,  78.75,  82.5 ,  86.25,  90.  ,  93.75,  97.5 ,
       101.25, 105.  , 108.75, 112.5 , 116.25, 120.  , 123.75, 127.5 , 131.25,
       135.  , 138.75, 142.5 , 146.25, 150.  , 153.75, 157.5 , 161.25, 165.  ,
       168.75, 172.5 , 176.25, 180.  , 183.75, 187.5 , 191.25, 195.  , 198.75,
       202.5 , 206.25, 210.  , 213.75, 217.5 , 221.25, 225.  , 228.75, 232.5 ,
       236.25, 240.  , 243.75, 247.5 , 251.25, 255.  , 258.75, 262.5 , 266.25,
       270.  , 273.75, 277.5 , 281.25, 285.  , 288.75, 292.5 , 296.25, 300.  ,
       303.75, 307.5 , 311.25, 315.  , 318.75, 322.5 , 326.25, 330.  , 333.75,
       337.5 , 341.25, 345.  , 348.75, 352.5 , 356.25])

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(72, 2), meta=np.ndarray>

	Array	Chunk
Bytes	53.18 kB	1.15 kB
Shape	(3324, 2)	(72, 2)
Count	141 Tasks	47 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(72, 48, 2), meta=np.ndarray>

	Array	Chunk
Bytes	2.55 MB	55.30 kB
Shape	(3324, 48, 2)	(72, 48, 2)
Count	188 Tasks	47 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(72, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	5.11 MB	110.59 kB
Shape	(3324, 96, 2)	(72, 96, 2)
Count	188 Tasks	47 Chunks
Type	float64	numpy.ndarray

(time, plev, lat, lon)

float32

dask.array<chunksize=(72, 33, 48, 96), meta=np.ndarray>

standard_name :: eastward_wind
long_name :: Eastward Wind
units :: m s-1
original_name :: u
original_units :: m/s
history :: 2012-08-16T12:19:19Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2012-08-16T12:19:19Z altered by CMOR: Inverted axis: lat.
cell_methods :: time: mean (interval: 1 month)
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CMCC-CESM_piControl_r0i0p0.nc

	Array	Chunk
Bytes	2.02 GB	43.79 MB
Shape	(3324, 33, 48, 96)	(72, 33, 48, 96)
Count	141 Tasks	47 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
CMCC - Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy
institute_id :
CMCC
experiment_id :
piControl
source :
CMCC-CESM
model_id :
CMCC-CESM
forcing :
Nat,Ant,GHG,SA,Oz,Sl
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
Marcello Vichi (marcello.vichi@cmcc.it)
history :
Model output postprocessed with Afterburner and CDO (https://code.zmaw.de/projects) 2012-08-16T12:19:19Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
comment :
Equilibrium reached after more than 1500-year spin-up of the physics, 200-year spin-up of carbon content at pre-industrial GHG concentrations after which data were output with nominal date of January .
references :
model described in the documentation at http://www.cmcc.it/data-models/models
initialization_method :
1
physics_version :
1
tracking_id :
12c23e87-97ac-43eb-9083-fa60070dd5c2
product :
output
experiment :
pre-industrial control
frequency :
mon
creation_date :
2012-08-16T12:19:19Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
title :
CMCC-CESM model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
atmos
realization :
1
cmor_version :
2.7.1