NOAA GFDL GFDL-CM3, pre-industrial control (run 1) experiment output for CMIP5 AR5

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sic_OImon_GFDL-CM3_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	NOAA GFDL GFDL-CM3, pre-industrial control (run 1) experiment output for CMIP5 AR5
location	/shared/cmip5/data/piControl/seaIce/mon/OImon/sic/NOAA-GFDL.GFDL-CM3/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sic_OImon_GFDL-CM3_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, rlat: 200, rlon: 360, time: 6000, vertices: 4)
Coordinates:
  * bnds          (bnds) float64 1.0 2.0
  * time          (time) float64 15.5 45.0 74.5 ... 1.825e+05 1.825e+05
  * rlon          (rlon) float64 -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
  * rlat          (rlat) float64 -81.5 -80.5 -79.5 -78.5 ... 86.5 87.5 88.5 89.5
    lat           (rlat, rlon) float32 dask.array<chunksize=(200, 360), meta=np.ndarray>
    lon           (rlat, rlon) float32 dask.array<chunksize=(200, 360), meta=np.ndarray>
  * vertices      (vertices) int32 0 1 2 3
Data variables:
    average_DT    (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
    average_T1    (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
    average_T2    (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
    sic           (time, rlat, rlon) float32 dask.array<chunksize=(60, 200, 360), meta=np.ndarray>
    time_bnds     (time, bnds) float64 dask.array<chunksize=(60, 2), meta=np.ndarray>
    lat_vertices  (time, rlat, rlon, vertices) float64 dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
    lon_vertices  (time, rlat, rlon, vertices) float64 dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
Attributes:
    title:                  NOAA GFDL GFDL-CM3, pre-industrial control (run 1...
    institute_id:           NOAA GFDL
    source:                 GFDL-CM3 2010 atmosphere: AM3 (AM3p9,C48L48); sea...
    contact:                gfdl.climate.model.info@noaa.gov
    project_id:             CMIP5
    table_id:               Table OImon (31 Jan 2011)
    experiment_id:          piControl
    realization:            1
    modeling_realm:         seaIce ocean
    tracking_id:            42afa1b1-4635-4913-80e6-322e29268be2
    Conventions:            CF-1.4
    references:             The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
    comment:                GFDL experiment name: CM3Z_Control-1860_D1
GFDL ...
    gfdl_experiment_name:   CM3Z_Control-1860_D1
    creation_date:          2012-05-06T18:56:42Z
    model_id:               GFDL-CM3
    branch_time:            0.0
    experiment:             pre-industrial control
    forcing:                N/A
    frequency:              mon
    initialization_method:  1
    parent_experiment_id:   N/A
    physics_version:        1
    product:                output1
    institution:            NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
    history:                File was processed by fremetar (GFDL analog of CM...
    parent_experiment_rip:  N/A

xarray.Dataset

Dimensions:
- bnds: 2
- rlat: 200
- rlon: 360
- time: 6000
- vertices: 4

Coordinates: (7)

bnds
(bnds)
float64
1.0 2.0
long_name :
vertex number
cartesian_axis :
N
```
array([1., 2.])
```
time
(time)
float64
15.5 45.0 ... 1.825e+05 1.825e+05
long_name :
time
units :
days since 0001-01-01 00:00:00
cartesian_axis :
T
calendar_type :
noleap
calendar :
noleap
bounds :
time_bnds
standard_name :
time
axis :
T
```
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.824235e+05,
       1.824540e+05, 1.824845e+05])
```
rlon
(rlon)
float64
-279.5 -278.5 -277.5 ... 78.5 79.5
long_name :
longitude in rotated pole grid
units :
degrees
axis :
X
standard_name :
grid_longitude
```
array([-279.5, -278.5, -277.5, ...,   77.5,   78.5,   79.5])
```

rlat

(rlat)

float64

-81.5 -80.5 -79.5 ... 88.5 89.5

long_name :: latitude in rotated pole grid
units :: degrees
axis :: Y
standard_name :: grid_latitude

array([-81.5     , -80.5     , -79.5     , -78.5     , -77.5     , -76.5     ,
       -75.5     , -74.5     , -73.5     , -72.5     , -71.5     , -70.5     ,
       -69.5     , -68.5     , -67.5     , -66.5     , -65.5     , -64.5     ,
       -63.5     , -62.5     , -61.5     , -60.5     , -59.5     , -58.5     ,
       -57.5     , -56.5     , -55.5     , -54.5     , -53.5     , -52.5     ,
       -51.5     , -50.5     , -49.5     , -48.5     , -47.5     , -46.5     ,
       -45.5     , -44.5     , -43.5     , -42.5     , -41.5     , -40.5     ,
       -39.5     , -38.5     , -37.5     , -36.5     , -35.5     , -34.5     ,
       -33.5     , -32.5     , -31.5     , -30.5     , -29.5     , -28.501426,
       -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584,
       -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333,
       -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 ,
       -12.353125, -11.673771, -11.001426, -10.333333,  -9.666666,  -9.002051,
        -8.343542,  -7.695041,  -7.060205,  -6.442354,  -5.844389,  -5.268724,
        -4.717221,  -4.191149,  -3.691149,  -3.217221,  -2.768724,  -2.344389,
        -1.942354,  -1.560205,  -1.195041,  -0.843542,  -0.502051,  -0.166666,
         0.166667,   0.502052,   0.843543,   1.195042,   1.560206,   1.942354,
         2.34439 ,   2.768725,   3.217222,   3.69115 ,   4.19115 ,   4.717222,
         5.268725,   5.84439 ,   6.442354,   7.060206,   7.695042,   8.343543,
         9.002052,   9.666667,  10.333334,  11.001426,  11.673772,  12.353125,
        13.042121,  13.743229,  14.458711,  15.190584,  15.940584,  16.710137,
        17.500334,  18.311913,  19.145246,  20.000334,  20.876804,  21.773918,
        22.690585,  23.625378,  24.576563,  25.542122,  26.519792,  27.507106,
        28.501427,  29.500001,  30.500001,  31.500001,  32.500001,  33.500001,
        34.500001,  35.500001,  36.500001,  37.500001,  38.500001,  39.500001,
        40.500001,  41.500001,  42.500001,  43.500001,  44.500001,  45.500001,
        46.500001,  47.500001,  48.500001,  49.500001,  50.500001,  51.500001,
        52.500001,  53.500001,  54.500001,  55.500001,  56.500001,  57.500001,
        58.500001,  59.500001,  60.500001,  61.500001,  62.500001,  63.500001,
        64.500001,  65.500001,  66.500001,  67.500001,  68.500001,  69.500001,
        70.500001,  71.500001,  72.500001,  73.500001,  74.500001,  75.500001,
        76.500001,  77.500001,  78.500001,  79.500001,  80.500001,  81.500001,
        82.500001,  83.500001,  84.500001,  85.500001,  86.500001,  87.500001,
        88.500001,  89.500001])

lat

(rlat, rlon)

float32

dask.array<chunksize=(200, 360), meta=np.ndarray>

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

	Array	Chunk
Bytes	288.00 kB	288.00 kB
Shape	(200, 360)	(200, 360)
Count	495 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(rlat, rlon)

float32

dask.array<chunksize=(200, 360), meta=np.ndarray>

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

	Array	Chunk
Bytes	288.00 kB	288.00 kB
Shape	(200, 360)	(200, 360)
Count	495 Tasks	1 Chunks
Type	float32	numpy.ndarray

vertices
(vertices)
int32
0 1 2 3
```
array([0, 1, 2, 3], dtype=int32)
```

Data variables: (7)

average_DT

(time)

float64

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

long_name :: Length of average period
units :: days

	Array	Chunk
Bytes	48.00 kB	480 B
Shape	(6000,)	(60,)
Count	300 Tasks	100 Chunks
Type	float64	numpy.ndarray

average_T1

(time)

float64

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

long_name :: Start time for average period
units :: days since 0001-01-01 00:00:00

	Array	Chunk
Bytes	48.00 kB	480 B
Shape	(6000,)	(60,)
Count	300 Tasks	100 Chunks
Type	float64	numpy.ndarray

average_T2

(time)

float64

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

long_name :: End time for average period
units :: days since 0001-01-01 00:00:00

	Array	Chunk
Bytes	48.00 kB	480 B
Shape	(6000,)	(60,)
Count	300 Tasks	100 Chunks
Type	float64	numpy.ndarray

sic

(time, rlat, rlon)

float32

dask.array<chunksize=(60, 200, 360), meta=np.ndarray>

original_name :: dim_sum_n(CN, 1)*100
cell_methods :: time: mean
units :: %
long_name :: Sea Ice Area Fraction
standard_name :: sea_ice_area_fraction
cell_measures :: area: areacello
comments :: Note: This model output is presented on the model's tripolar grid. The North Pole singularity is avoided by using this nonregular grid north of 65N. More information about the ocean and sea ice model's grid can be found at http://nomads.gfdl.noaa.gov/.
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_GFDL-CM3_piControl_r0i0p0.nc areacello: areacello_fx_GFDL-CM3_piControl_r0i0p0.nc
original_units :: %

	Array	Chunk
Bytes	1.73 GB	17.28 MB
Shape	(6000, 200, 360)	(60, 200, 360)
Count	300 Tasks	100 Chunks
Type	float32	numpy.ndarray

time_bnds

(time, bnds)

float64

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

long_name :: time axis boundaries
units :: days since 0001-01-01 00:00:00

	Array	Chunk
Bytes	96.00 kB	960 B
Shape	(6000, 2)	(60, 2)
Count	300 Tasks	100 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, rlat, rlon, vertices)

float64

dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	13.82 GB	138.24 MB
Shape	(6000, 200, 360, 4)	(60, 200, 360, 4)
Count	400 Tasks	100 Chunks
Type	float64	numpy.ndarray

lon_vertices

(time, rlat, rlon, vertices)

float64

dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	13.82 GB	138.24 MB
Shape	(6000, 200, 360, 4)	(60, 200, 360, 4)
Count	400 Tasks	100 Chunks
Type	float64	numpy.ndarray

Attributes: (27)
title :
NOAA GFDL GFDL-CM3, pre-industrial control (run 1) experiment output for CMIP5 AR5
institute_id :
NOAA GFDL
source :
GFDL-CM3 2010 atmosphere: AM3 (AM3p9,C48L48); sea ice: SIS (SISp2,Tripolar360x200); land: LM3 (LM3p7_cCM3,C48); ocean: MOM4 (MOM4p1_x1_Z50_cCM3,Tripolar360x200L50)
contact :
gfdl.climate.model.info@noaa.gov
project_id :
CMIP5
table_id :
Table OImon (31 Jan 2011)
experiment_id :
piControl
realization :
1
modeling_realm :
seaIce ocean
tracking_id :
42afa1b1-4635-4913-80e6-322e29268be2
Conventions :
CF-1.4
references :
The GFDL Data Portal (http://nomads.gfdl.noaa.gov/) provides access to NOAA/GFDL's publicly available model input and output data sets. From this web site one can view and download data sets and documentation, including those related to the GFDL coupled models experiments run for the IPCC's 5th Assessment Report and the US CCSP.
comment :
GFDL experiment name: CM3Z_Control-1860_D1 GFDL parent experiment name: N/A CMIP5 experiment ID: piControl Initial conditions from this experiment (CMIP5 expt. 3.1) were taken from 01Jan0281 of the 1860 control model spin-up experiment CM3Y_Control-1860_I7_TIM_RCP2. Spin up for this experiment included experiments CM3Y_Control-1860_I2 (0001-0300, dynamic potential vegetation), CM3Y_I6_1700-1860_LandUse (1701-1859, dynamic vegetation, historical land use), CM3Y_Control-1860_I7_TIM (0001-0100, static 1859 vegetation, TIM solar irradiance), CM3Y_Control-1860_I7_TIM_RCP (0101-0200), and CM3Y_Control-1860_I7_TIM_RCP2 (0201-0280). This model includes direct and indirect aerosol effects.
gfdl_experiment_name :
CM3Z_Control-1860_D1
creation_date :
2012-05-06T18:56:42Z
model_id :
GFDL-CM3
branch_time :
0.0
experiment :
pre-industrial control
forcing :
N/A
frequency :
mon
initialization_method :
1
parent_experiment_id :
N/A
physics_version :
1
product :
output1
institution :
NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
history :
File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_bjHsI67ZTv,realiz_id_cbf2FR2EN8,run_id_XhhqRnrz0b]
parent_experiment_rip :
N/A