NOAA GFDL GFDL-CM2p1, historical (run 10) 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/sit_OImon_GFDL-CM2p1_historical_r10i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	NOAA GFDL GFDL-CM2p1, historical (run 10) experiment output for CMIP5 AR5
location	/shared/cmip5/data/historical/seaIce/mon/OImon/sit/NOAA-GFDL.GFDL-CM2p1/r10i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sit_OImon_GFDL-CM2p1_historical_r10i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, rlat: 200, rlon: 360, time: 2160, vertices: 4)
Coordinates:
  * bnds          (bnds) float64 1.0 2.0
  * time          (time) float64 15.5 45.0 74.5 ... 6.567e+04 6.57e+04 6.573e+04
  * 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>
    sit           (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:
    history:                File was processed by fremetar (GFDL analog of CM...
    title:                  NOAA GFDL GFDL-CM2p1, historical (run 10) experim...
    institute_id:           NOAA GFDL
    source:                 GFDL-CM2p1 2010 ocean: MOM4 (MOM4p1_x1_Z50_cCM2M,...
    contact:                gfdl.climate.model.info@noaa.gov
    project_id:             CMIP5
    table_id:               Table OImon (31 Jan 2011)
    experiment_id:          historical
    realization:            10
    modeling_realm:         seaIce ocean
    tracking_id:            a07ca505-bb92-4021-b29d-6794d7fbf6f2
    Conventions:            CF-1.4
    references:             The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
    comment:                GFDL experiment name = CM2.1RG_1861_2040_AllForc_...
    gfdl_experiment_name:   CM2.1RG_1861_2040_AllForc_rcp4.5
    creation_date:          2012-05-07T13:17:32Z
    model_id:               GFDL-CM2p1
    branch_time:            0.0
    experiment:             historical
    forcing:                GHG,SD,Oz,Sl,Vl,SS,BC,MD,OC (GHG includes CO2, CH...
    frequency:              mon
    initialization_method:  1
    parent_experiment_id:   N/A
    physics_version:        1
    product:                output1
    institution:            NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
    parent_experiment_rip:  N/A

xarray.Dataset

Dimensions:
- bnds: 2
- rlat: 200
- rlon: 360
- time: 2160
- 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 ... 6.57e+04 6.573e+04
long_name :
time
units :
days since 1861-01-01 00:00:00
cartesian_axis :
T
calendar_type :
julian
calendar :
julian
bounds :
time_bnds
standard_name :
time
axis :
T
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 6.56685e+04, 6.56990e+04,
       6.57295e+04])
```
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	175 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	175 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	17.28 kB	480 B
Shape	(2160,)	(60,)
Count	108 Tasks	36 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 1861-01-01 00:00:00

	Array	Chunk
Bytes	17.28 kB	480 B
Shape	(2160,)	(60,)
Count	108 Tasks	36 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 1861-01-01 00:00:00

	Array	Chunk
Bytes	17.28 kB	480 B
Shape	(2160,)	(60,)
Count	108 Tasks	36 Chunks
Type	float64	numpy.ndarray

sit

(time, rlat, rlon)

float32

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

long_name :: Sea Ice Thickness
units :: m
cell_methods :: time: mean area: mean where sea
original_name :: sic*(HI/100)
standard_name :: sea_ice_thickness
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/.
original_units :: m
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_GFDL-CM2p1_historical_r0i0p0.nc areacello: areacello_fx_GFDL-CM2p1_historical_r0i0p0.nc

	Array	Chunk
Bytes	622.08 MB	17.28 MB
Shape	(2160, 200, 360)	(60, 200, 360)
Count	108 Tasks	36 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 1861-01-01 00:00:00

	Array	Chunk
Bytes	34.56 kB	960 B
Shape	(2160, 2)	(60, 2)
Count	108 Tasks	36 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	4.98 GB	138.24 MB
Shape	(2160, 200, 360, 4)	(60, 200, 360, 4)
Count	144 Tasks	36 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	4.98 GB	138.24 MB
Shape	(2160, 200, 360, 4)	(60, 200, 360, 4)
Count	144 Tasks	36 Chunks
Type	float64	numpy.ndarray

Attributes: (27)
history :
File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_DPDg7v0V9c,realiz_id_4wJ0BR72x3,run_id_elG9yBUiAS]
title :
NOAA GFDL GFDL-CM2p1, historical (run 10) experiment output for CMIP5 AR5
institute_id :
NOAA GFDL
source :
GFDL-CM2p1 2010 ocean: MOM4 (MOM4p1_x1_Z50_cCM2M,Tripolar360x200L50); atmosphere: AM2 (AM2p14,M45L24); sea ice: SIS (SISp2,Tripolar360x200L50); land: LM2 (LM2,M45)
contact :
gfdl.climate.model.info@noaa.gov
project_id :
CMIP5
table_id :
Table OImon (31 Jan 2011)
experiment_id :
historical
realization :
10
modeling_realm :
seaIce ocean
tracking_id :
a07ca505-bb92-4021-b29d-6794d7fbf6f2
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 = CM2.1RG_1861_2040_AllForc_rcp4.5 PCMDI experiment name = CM2.1RG_1861_2040_AllForc_rcp4.5. Historical CM2.1 M45L24 run initialized from 600 year control. Model forced with ?????? until year 2006. rcp45 scenario forcing therafter to year 2040
gfdl_experiment_name :
CM2.1RG_1861_2040_AllForc_rcp4.5
creation_date :
2012-05-07T13:17:32Z
model_id :
GFDL-CM2p1
branch_time :
0.0
experiment :
historical
forcing :
GHG,SD,Oz,Sl,Vl,SS,BC,MD,OC (GHG includes CO2, CH4, N2O)
frequency :
mon
initialization_method :
1
parent_experiment_id :
N/A
physics_version :
1
product :
output1
institution :
NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
parent_experiment_rip :
N/A