CMCC-CMS 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/cl_Amon_CMCC-CMS_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CMCC-CMS model output prepared for CMIP5 RCP8.5
location	/shared/cmip5/data/rcp85/atmos/mon/Amon/cl/CMCC.CMCC-CMS/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cl_Amon_CMCC-CMS_rcp85_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 96, lev: 95, lon: 192, time: 1140)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 3.94e+03 3.971e+03 4.002e+03
  * lev        (lev) float64 0.9961 0.9826 0.959 ... 2.341e-05 9.946e-06
  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57
  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(48, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(48, 95, 2), meta=np.ndarray>
    p0         (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0
    a          (time, lev) float64 dask.array<chunksize=(48, 95), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(48, 95), meta=np.ndarray>
    ps         (time, lat, lon) float32 dask.array<chunksize=(48, 96, 192), meta=np.ndarray>
    a_bnds     (time, lev, bnds) float64 dask.array<chunksize=(48, 95, 2), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(48, 95, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(48, 96, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(48, 192, 2), meta=np.ndarray>
    cl         (time, lev, lat, lon) float32 dask.array<chunksize=(48, 95, 96, 192), meta=np.ndarray>
Attributes:
    institution:            CMCC - Centro Euro-Mediterraneo per i Cambiamenti...
    institute_id:           CMCC
    experiment_id:          rcp85
    source:                 CMCC-CMS
    model_id:               CMCC-CMS
    forcing:                Nat,Ant,GHG,SA,Oz,Sl
    parent_experiment_id:   historical
    parent_experiment_rip:  r1i1p1
    branch_time:            56978.0
    contact:                Chiara Cagnazzo (chiara.cagnazzo@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:            aef37d5d-0ec5-4ada-a22f-3b0dc9b2909e
    product:                output
    experiment:             RCP8.5
    frequency:              mon
    creation_date:          2011-12-05T01:38:49Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
    title:                  CMCC-CMS 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: 96
- lev: 95
- lon: 192
- time: 1140

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 3.971e+03 4.002e+03
bounds :
time_bnds
calendar :
standard
axis :
T
long_name :
time
standard_name :
time
```
array([  15.5,   45. ,   74.5, ..., 3940.5, 3971. , 4001.5])
```

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([9.961500e-01, 9.826500e-01, 9.589603e-01, 9.276684e-01, 8.908989e-01,
       8.502702e-01, 8.070535e-01, 7.623319e-01, 7.169114e-01, 6.713331e-01,
       6.260363e-01, 5.813728e-01, 5.377849e-01, 4.956406e-01, 4.552756e-01,
       4.171562e-01, 3.815715e-01, 3.486066e-01, 3.182166e-01, 2.903014e-01,
       2.646975e-01, 2.412543e-01, 2.198421e-01, 2.003042e-01, 1.824695e-01,
       1.662021e-01, 1.513659e-01, 1.378259e-01, 1.254849e-01, 1.142516e-01,
       1.040031e-01, 9.464436e-02, 8.611726e-02, 7.834965e-02, 7.127059e-02,
       6.480854e-02, 5.891588e-02, 5.354861e-02, 4.865748e-02, 4.419883e-02,
       4.013442e-02, 3.642941e-02, 3.305201e-02, 2.997324e-02, 2.716671e-02,
       2.460834e-02, 2.227619e-02, 2.015025e-02, 1.821230e-02, 1.644571e-02,
       1.483607e-02, 1.337090e-02, 1.203853e-02, 1.082812e-02, 9.729578e-03,
       8.733544e-03, 7.831334e-03, 7.014911e-03, 6.276840e-03, 5.610251e-03,
       5.008809e-03, 4.466674e-03, 3.978474e-03, 3.539270e-03, 3.144528e-03,
       2.790092e-03, 2.472154e-03, 2.187233e-03, 1.932146e-03, 1.703989e-03,
       1.500118e-03, 1.318122e-03, 1.155811e-03, 1.011195e-03, 8.824687e-04,
       7.679964e-04, 6.662973e-04, 5.760329e-04, 4.959941e-04, 4.250906e-04,
       3.624672e-04, 3.074482e-04, 2.593635e-04, 2.175580e-04, 1.814001e-04,
       1.502881e-04, 1.236552e-04, 1.009729e-04, 8.175334e-05, 6.555011e-05,
       5.195851e-05, 4.061463e-05, 3.119388e-05, 2.340897e-05, 9.945912e-06])

lat

(lat)

float64

-88.57 -86.72 ... 86.72 88.57

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

array([-88.572169, -86.722531, -84.86197 , -82.998942, -81.134977, -79.270559,
       -77.405888, -75.541061, -73.676132, -71.811132, -69.946081, -68.080991,
       -66.215872, -64.35073 , -62.485571, -60.620396, -58.755209, -56.890013,
       -55.024808, -53.159595, -51.294377, -49.429154, -47.563926, -45.698694,
       -43.833459, -41.96822 , -40.102979, -38.237736, -36.372491, -34.507243,
       -32.641994, -30.776744, -28.911492, -27.046239, -25.180986, -23.315731,
       -21.450475, -19.585219, -17.719962, -15.854704, -13.989446, -12.124187,
       -10.258928,  -8.393669,  -6.528409,  -4.66315 ,  -2.79789 ,  -0.93263 ,
         0.93263 ,   2.79789 ,   4.66315 ,   6.528409,   8.393669,  10.258928,
        12.124187,  13.989446,  15.854704,  17.719962,  19.585219,  21.450475,
        23.315731,  25.180986,  27.046239,  28.911492,  30.776744,  32.641994,
        34.507243,  36.372491,  38.237736,  40.102979,  41.96822 ,  43.833459,
        45.698694,  47.563926,  49.429154,  51.294377,  53.159595,  55.024808,
        56.890013,  58.755209,  60.620396,  62.485571,  64.35073 ,  66.215872,
        68.080991,  69.946081,  71.811132,  73.676132,  75.541061,  77.405888,
        79.270559,  81.134977,  82.998942,  84.86197 ,  86.722531,  88.572169])

lon

(lon)

float64

0.0 1.875 3.75 ... 356.2 358.1

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

array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,
        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,
        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,
        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,
        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,
        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,
        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,
       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,
       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,
       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,
       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,
       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,
       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,
       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,
       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,
       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,
       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,
       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,
       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,
       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,
       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,
       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,
       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,
       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])

Data variables: (11)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	18.24 kB	2.11 kB
Shape	(1140, 2)	(132, 2)
Count	30 Tasks	10 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(48, 95, 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	1.73 MB	200.64 kB
Shape	(1140, 95, 2)	(132, 95, 2)
Count	40 Tasks	10 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=(48, 95), meta=np.ndarray>

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

	Array	Chunk
Bytes	866.40 kB	100.32 kB
Shape	(1140, 95)	(132, 95)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(48, 95), meta=np.ndarray>

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

	Array	Chunk
Bytes	866.40 kB	100.32 kB
Shape	(1140, 95)	(132, 95)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

(time, lat, lon)

float32

dask.array<chunksize=(48, 96, 192), 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	84.05 MB	9.73 MB
Shape	(1140, 96, 192)	(132, 96, 192)
Count	30 Tasks	10 Chunks
Type	float32	numpy.ndarray

a_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(48, 95, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.73 MB	200.64 kB
Shape	(1140, 95, 2)	(132, 95, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(48, 95, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.73 MB	200.64 kB
Shape	(1140, 95, 2)	(132, 95, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(48, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	1.75 MB	202.75 kB
Shape	(1140, 96, 2)	(132, 96, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(48, 192, 2), meta=np.ndarray>

	Array	Chunk
Bytes	3.50 MB	405.50 kB
Shape	(1140, 192, 2)	(132, 192, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

(time, lev, lat, lon)

float32

dask.array<chunksize=(48, 95, 96, 192), meta=np.ndarray>

standard_name :: cloud_area_fraction_in_atmosphere_layer
long_name :: Cloud Area Fraction
comment :: Includes both large-scale and convective cloud.
units :: %
original_name :: aclcac
original_units :: percent
history :: 2011-12-05T01:38:49Z altered by CMOR: Converted units from 'percent' to '%'. 2011-12-05T01:38:49Z altered by CMOR: Inverted axis: lev. 2011-12-05T01:38:49Z 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-CMS_rcp85_r0i0p0.nc areacella: areacella_fx_CMCC-CMS_rcp85_r0i0p0.nc

	Array	Chunk
Bytes	7.98 GB	924.55 MB
Shape	(1140, 95, 96, 192)	(132, 95, 96, 192)
Count	30 Tasks	10 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-CMS
model_id :
CMCC-CMS
forcing :
Nat,Ant,GHG,SA,Oz,Sl
parent_experiment_id :
historical
parent_experiment_rip :
r1i1p1
branch_time :
56978.0
contact :
Chiara Cagnazzo (chiara.cagnazzo@cmcc.it)
history :
Model output postprocessed with Afterburner and CDO (https://code.zmaw.de/projects) 2011-12-05T01:38:49Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
comment :
Equilibrium reached after more than 1500-year spin-up 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 :
aef37d5d-0ec5-4ada-a22f-3b0dc9b2909e
product :
output
experiment :
RCP8.5
frequency :
mon
creation_date :
2011-12-05T01:38:49Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
title :
CMCC-CMS model output prepared for CMIP5 RCP8.5
parent_experiment :
historical
modeling_realm :
atmos
realization :
1
cmor_version :
2.7.1