CMCC-CESM model output prepared for CMIP5 RCP8.5

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_CMCC-CESM_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CMCC-CESM model output prepared for CMIP5 RCP8.5
location	/shared/cmip5/data/rcp85/atmos/mon/Amon/clw/CMCC.CMCC-CESM/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_CMCC-CESM_rcp85_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 48, lev: 39, lon: 96, time: 1152)
Coordinates:
  * time       (time) float64 15.5 45.5 75.5 ... 3.576e+03 3.606e+03 3.636e+03
  * lev        (lev) float64 0.9961 0.9826 0.9548 ... 3.543e-05 9.946e-06
  * 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=(60, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(60, 39, 2), meta=np.ndarray>
    p0         (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0
    a          (time, lev) float64 dask.array<chunksize=(60, 39), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(60, 39), meta=np.ndarray>
    ps         (time, lat, lon) float32 dask.array<chunksize=(60, 48, 96), meta=np.ndarray>
    a_bnds     (time, lev, bnds) float64 dask.array<chunksize=(60, 39, 2), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(60, 39, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(60, 96, 2), meta=np.ndarray>
    clw        (time, lev, lat, lon) float32 dask.array<chunksize=(60, 39, 48, 96), meta=np.ndarray>
Attributes:
    institution:            CMCC - Centro Euro-Mediterraneo per i Cambiamenti...
    institute_id:           CMCC
    experiment_id:          rcp85
    source:                 CMCC-CESM
    model_id:               CMCC-CESM
    forcing:                Nat,Ant,GHG,SA,Oz,Sl
    parent_experiment_id:   historical
    parent_experiment_rip:  r1i1p1
    branch_time:            56978.0
    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:            dc992bc7-6fa7-4c42-9403-6174345b7f22
    product:                output
    experiment:             RCP8.5
    frequency:              mon
    creation_date:          2012-07-26T14:51:46Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
    title:                  CMCC-CESM model output prepared for CMIP5 RCP8.5
    parent_experiment:      historical
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.7.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 48
- lev: 39
- lon: 96
- time: 1152

Coordinates: (4)

time
(time)
float64
15.5 45.5 ... 3.606e+03 3.636e+03
bounds :
time_bnds
calendar :
standard
axis :
T
long_name :
time
standard_name :
time
```
array([  15.5,   45.5,   75.5, ..., 3575.5, 3606. , 3636.5])
```

lev

(lev)

float64

0.9961 0.9826 ... 9.946e-06

bounds :: lev_bnds
units :: 1
axis :: Z
positive :: down
long_name :: hybrid sigma pressure coordinate
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
formula :: p = a*p0 + b*ps
formula_terms :: p0: p0 a: a b: b ps: ps

array([9.961407e-01, 9.826334e-01, 9.547820e-01, 9.092581e-01, 8.464436e-01,
       7.691647e-01, 6.816637e-01, 5.887858e-01, 4.965112e-01, 4.111473e-01,
       3.369508e-01, 2.745220e-01, 2.222662e-01, 1.787704e-01, 1.427904e-01,
       1.132339e-01, 8.914075e-02, 6.966111e-02, 5.403643e-02, 4.159872e-02,
       3.177400e-02, 2.407468e-02, 1.809012e-02, 1.347742e-02, 9.952803e-03,
       7.283551e-03, 5.280590e-03, 3.791768e-03, 2.695854e-03, 1.894518e-03,
       1.310861e-03, 8.905416e-04, 5.934676e-04, 3.875889e-04, 2.457438e-04,
       1.463488e-04, 7.804715e-05, 3.543221e-05, 9.945912e-06])

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: (11)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	18.43 kB	1.92 kB
Shape	(1152, 2)	(120, 2)
Count	33 Tasks	11 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(60, 39, 2), meta=np.ndarray>

formula :: p = a*p0 + b*ps
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
units :: 1
formula_terms :: p0: p0 a: a_bnds b: b_bnds ps: ps

	Array	Chunk
Bytes	718.85 kB	74.88 kB
Shape	(1152, 39, 2)	(120, 39, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

p0
(time)
float32
100000.0 100000.0 ... 100000.0
long_name :
vertical coordinate formula term: reference pressure
units :
Pa
```
array([100000., 100000., 100000., ..., 100000., 100000., 100000.],
      dtype=float32)
```

(time, lev)

float64

dask.array<chunksize=(60, 39), meta=np.ndarray>

long_name :: vertical coordinate formula term: a(k)

	Array	Chunk
Bytes	359.42 kB	37.44 kB
Shape	(1152, 39)	(120, 39)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(60, 39), meta=np.ndarray>

long_name :: vertical coordinate formula term: b(k)

	Array	Chunk
Bytes	359.42 kB	37.44 kB
Shape	(1152, 39)	(120, 39)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

(time, lat, lon)

float32

dask.array<chunksize=(60, 48, 96), meta=np.ndarray>

standard_name :: surface_air_pressure
long_name :: Surface Air Pressure
comment :: not, in general, the same as mean sea-level pressure
units :: Pa
cell_methods :: time: mean
cell_measures :: area: areacella

	Array	Chunk
Bytes	21.23 MB	2.21 MB
Shape	(1152, 48, 96)	(120, 48, 96)
Count	33 Tasks	11 Chunks
Type	float32	numpy.ndarray

a_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(60, 39, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: a(k+1/2)

	Array	Chunk
Bytes	718.85 kB	74.88 kB
Shape	(1152, 39, 2)	(120, 39, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(60, 39, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: b(k+1/2)

	Array	Chunk
Bytes	718.85 kB	74.88 kB
Shape	(1152, 39, 2)	(120, 39, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(60, 48, 2), meta=np.ndarray>

	Array	Chunk
Bytes	884.74 kB	92.16 kB
Shape	(1152, 48, 2)	(120, 48, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(60, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	1.77 MB	184.32 kB
Shape	(1152, 96, 2)	(120, 96, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

clw

(time, lev, lat, lon)

float32

dask.array<chunksize=(60, 39, 48, 96), meta=np.ndarray>

standard_name :: mass_fraction_of_cloud_liquid_water_in_air
long_name :: Mass Fraction of Cloud Liquid Water
comment :: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
units :: 1
original_name :: xl
original_units :: kg/kg
history :: 2012-07-26T14:51:45Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2012-07-26T14:51:46Z altered by CMOR: Inverted axis: lev. 2012-07-26T14:51:46Z altered by CMOR: Inverted axis: lat.
cell_methods :: time: mean (interval: 1 month)
cell_measures :: area: areacella
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CMCC-CESM_rcp85_r0i0p0.nc areacella: areacella_fx_CMCC-CESM_rcp85_r0i0p0.nc

	Array	Chunk
Bytes	828.11 MB	86.26 MB
Shape	(1152, 39, 48, 96)	(120, 39, 48, 96)
Count	33 Tasks	11 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
CMCC - Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy
institute_id :
CMCC
experiment_id :
rcp85
source :
CMCC-CESM
model_id :
CMCC-CESM
forcing :
Nat,Ant,GHG,SA,Oz,Sl
parent_experiment_id :
historical
parent_experiment_rip :
r1i1p1
branch_time :
56978.0
contact :
Marcello Vichi (marcello.vichi@cmcc.it)
history :
Model output postprocessed with Afterburner and CDO (https://code.zmaw.de/projects) 2012-07-26T14:51:46Z 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 and 276 year at pre-industrial GHG concentrations after which data were output with nominal date of January 1850.
references :
model described in the documentation at http://www.cmcc.it/data-models/models
initialization_method :
1
physics_version :
1
tracking_id :
dc992bc7-6fa7-4c42-9403-6174345b7f22
product :
output
experiment :
RCP8.5
frequency :
mon
creation_date :
2012-07-26T14:51:46Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
title :
CMCC-CESM model output prepared for CMIP5 RCP8.5
parent_experiment :
historical
modeling_realm :
atmos
realization :
1
cmor_version :
2.7.1