CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/prsn_Amon_CanCM4_decadal2005_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
location	/shared/cmip5/data/decadal2005/atmos/mon/Amon/prsn/CCCma.CanCM4/r1i1p1/20111115
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/prsn_Amon_CanCM4_decadal2005_r1i1p1.yaml
last updated	2011-04-24

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 64, lon: 128, time: 360)
Coordinates:
  * time       (time) float64 5.696e+04 5.698e+04 ... 6.784e+04 6.787e+04
  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86
  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(120, 64, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(120, 128, 2), meta=np.ndarray>
    prsn       (time, lat, lon) float32 dask.array<chunksize=(120, 64, 128), meta=np.ndarray>
Attributes:
    institution:            CCCma (Canadian Centre for Climate Modelling and ...
    institute_id:           CCCma
    experiment_id:          decadal2005
    source:                 CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ...
    model_id:               CanCM4
    forcing:                GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2...
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                cccma_info@ec.gc.ca
    references:             http://www.cccma.ec.gc.ca/models
    initialization_method:  1
    physics_version:        1
    tracking_id:            56bab4d3-db84-4435-922f-9bb104305143
    branch_time_YMDH:       2006:01:01:00
    CCCma_runid:            DHFP1B_E001_I2006_M01
    CCCma_parent_runid:     DHFP1_E001
    CCCma_data_licence:     1) GRANT OF LICENCE - The Government of Canada (E...
    product:                output
    experiment:             10- or 30-year run initialized in year 2005
    frequency:              mon
    creation_date:          2011-04-24T07:37:10Z
    history:                2011-04-24T07:37:10Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (28 March 2011) 0afcb2d7f190557bfb8b99...
    title:                  CanCM4 model output prepared for CMIP5 10- or 30-...
    parent_experiment:      N/A
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.4

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 64
- lon: 128
- time: 360

Coordinates: (3)

time
(time)
float64
5.696e+04 5.698e+04 ... 6.787e+04
bounds :
time_bnds
units :
days since 1850-1-1
calendar :
365_day
axis :
T
long_name :
time
standard_name :
time
```
array([56955.5, 56985. , 57014.5, ..., 67813.5, 67844. , 67874.5])
```

lat

(lat)

float64

-87.86 -85.1 -82.31 ... 85.1 87.86

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

array([-87.863801, -85.096529, -82.312915, -79.525609, -76.736902, -73.947518,
       -71.157755, -68.367759, -65.57761 , -62.787354, -59.997023, -57.206634,
       -54.416202, -51.625736, -48.835243, -46.044729, -43.254197, -40.463651,
       -37.673092, -34.882523, -32.091946, -29.301362, -26.510772, -23.720176,
       -20.929577, -18.138973, -15.348367, -12.557759,  -9.767148,  -6.976536,
        -4.185923,  -1.395309,   1.395309,   4.185923,   6.976536,   9.767148,
        12.557759,  15.348367,  18.138973,  20.929577,  23.720176,  26.510772,
        29.301362,  32.091946,  34.882523,  37.673092,  40.463651,  43.254197,
        46.044729,  48.835243,  51.625736,  54.416202,  57.206634,  59.997023,
        62.787354,  65.57761 ,  68.367759,  71.157755,  73.947518,  76.736902,
        79.525609,  82.312915,  85.096529,  87.863801])

lon

(lon)

float64

0.0 2.812 5.625 ... 354.4 357.2

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

array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,
        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,
        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,
        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,
        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,
        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,
       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,
       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,
       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,
       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,
       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,
       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,
       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,
       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,
       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,
       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,
       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,
       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,
       354.375 , 357.1875])

Data variables: (4)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	5.76 kB	1.92 kB
Shape	(360, 2)	(120, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(120, 64, 2), meta=np.ndarray>

	Array	Chunk
Bytes	368.64 kB	122.88 kB
Shape	(360, 64, 2)	(120, 64, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(120, 128, 2), meta=np.ndarray>

	Array	Chunk
Bytes	737.28 kB	245.76 kB
Shape	(360, 128, 2)	(120, 128, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

prsn

(time, lat, lon)

float32

dask.array<chunksize=(120, 64, 128), meta=np.ndarray>

standard_name :: snowfall_flux
long_name :: Snowfall Flux
comment :: at surface; includes precipitation of all forms of water in the solid phase
units :: kg m-2 s-1
original_name :: PCPN
cell_methods :: time: mean (interval: 15 minutes)
cell_measures :: area: areacella
history :: 2011-04-24T07:37:10Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanCM4_decadal2005_r0i0p0.nc areacella: areacella_fx_CanCM4_decadal2005_r0i0p0.nc

	Array	Chunk
Bytes	11.80 MB	3.93 MB
Shape	(360, 64, 128)	(120, 64, 128)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (31)
institution :
CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)
institute_id :
CCCma
experiment_id :
decadal2005
source :
CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7
model_id :
CanCM4
forcing :
GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
cccma_info@ec.gc.ca
references :
http://www.cccma.ec.gc.ca/models
initialization_method :
1
physics_version :
1
tracking_id :
56bab4d3-db84-4435-922f-9bb104305143
branch_time_YMDH :
2006:01:01:00
CCCma_runid :
DHFP1B_E001_I2006_M01
CCCma_parent_runid :
DHFP1_E001
CCCma_data_licence :
1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the owner of all intellectual property rights (including copyright) that may exist in this Data product. You (as "The Licensee") are hereby granted a non-exclusive, non-assignable, non-transferable unrestricted licence to use this data product for any purpose including the right to share these data with others and to make value-added and derivative products from it. This licence is not a sale of any or all of the owner's rights. 2) NO WARRANTY - This Data product is provided "as-is"; it has not been designed or prepared to meet the Licensee's particular requirements. Environment Canada makes no warranty, either express or implied, including but not limited to, warranties of merchantability and fitness for a particular purpose. In no event will Environment Canada be liable for any indirect, special, consequential or other damages attributed to the Licensee's use of the Data product.
product :
output
experiment :
10- or 30-year run initialized in year 2005
frequency :
mon
creation_date :
2011-04-24T07:37:10Z
history :
2011-04-24T07:37:10Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (28 March 2011) 0afcb2d7f190557bfb8b993eeabc39c9
title :
CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
parent_experiment :
N/A
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.4