FGOALS-g3 output prepared for CMIP6

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/siconc_SImon_FGOALS-g3_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()

Metadata

title	FGOALS-g3 output prepared for CMIP6
location	/shared/cmip6/data/piControl/seaIce/mon/OImon/siconc/CAS.FGOALS-g3/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/siconc_SImon_FGOALS-g3_piControl_r1i1p1f1_gn.yaml
last updated	2020-10-21

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, i: 360, j: 218, time: 8400)
Coordinates:
  * time       (time) float64 7.265e+04 7.268e+04 ... 3.281e+05 3.281e+05
  * j          (j) int32 0 1 2 3 4 5 6 7 8 ... 210 211 212 213 214 215 216 217
  * i          (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359
    latitude   (time, j, i) float64 dask.array<chunksize=(240, 218, 180), meta=np.ndarray>
    longitude  (time, j, i) float64 dask.array<chunksize=(240, 218, 180), meta=np.ndarray>
    type       |S7 b'sea_ice'
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(1200, 2), meta=np.ndarray>
    siconc     (time, j, i) float32 dask.array<chunksize=(1200, 218, 360), meta=np.ndarray>
Attributes:
    Conventions:            CF-1.7 CMIP-6.2
    activity_id:            CMIP
    branch_method:          Spin-up documentation
    branch_time_in_child:   72635.0
    branch_time_in_parent:  72635.0
    contact:                Lijuan Li (ljli@mail.iap.ac.cn)
    creation_date:          2019-10-30T03:23:57Z
    data_specs_version:     01.00.30
    experiment:             pre-industrial control
    experiment_id:          piControl
    external_variables:     areacello
    forcing_index:          1
    frequency:              mon
    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CAS.FGOALS-g...
    grid:                   gs1x1
    grid_label:             gn
    initialization_index:   1
    institution:            Chinese Academy of Sciences, Beijing 100029, China
    institution_id:         CAS
    mip_era:                CMIP6
    nominal_resolution:     100 km
    parent_activity_id:     CMIP
    parent_experiment_id:   piControl-spinup
    parent_mip_era:         CMIP6
    parent_source_id:       FGOALS-g3
    parent_time_units:      days since 0001-01-01
    parent_variant_label:   r1i1p1f1
    physics_index:          1
    product:                model-output
    realization_index:      1
    realm:                  seaIce
    source:                 FGOALS-g3 (2017):
aerosol: none,
atmos: GAMIL3....
    source_id:              FGOALS-g3
    source_type:            AOGCM
    sub_experiment:         none
    sub_experiment_id:      none
    table_id:               SImon
    table_info:             Creation Date:(09 May 2019) MD5:cde930676e68ac678...
    title:                  FGOALS-g3 output prepared for CMIP6
    tracking_id:            hdl:21.14100/eeff4470-7891-4752-aaf2-1795ab7e5208
    variable_id:            siconc
    variant_label:          r1i1p1f1
    license:                CMIP6 model data produced by LASG, Institute of A...
    cmor_version:           3.4.0

xarray.Dataset

Dimensions:
- bnds: 2
- i: 360
- j: 218
- time: 8400

Coordinates: (6)

time
(time)
float64
7.265e+04 7.268e+04 ... 3.281e+05
bounds :
time_bnds
units :
days since 0001-01-01 00:00:00
calendar :
365_day
axis :
T
long_name :
time
standard_name :
time
```
array([ 72650.5,  72680. ,  72709.5, ..., 328058.5, 328089. , 328119.5])
```
j
(j)
int32
0 1 2 3 4 5 ... 213 214 215 216 217
units :
1
long_name :
cell index along second dimension
```
array([  0,   1,   2, ..., 215, 216, 217], dtype=int32)
```
i
(i)
int32
0 1 2 3 4 5 ... 355 356 357 358 359
units :
1
long_name :
cell index along first dimension
```
array([  0,   1,   2, ..., 357, 358, 359], dtype=int32)
```

latitude

(time, j, i)

float64

dask.array<chunksize=(240, 218, 180), meta=np.ndarray>

standard_name :: latitude
long_name :: latitude
units :: degrees_north

	Array	Chunk
Bytes	5.27 GB	376.70 MB
Shape	(8400, 218, 360)	(1200, 218, 180)
Count	91 Tasks	62 Chunks
Type	float64	numpy.ndarray

longitude

(time, j, i)

float64

dask.array<chunksize=(240, 218, 180), meta=np.ndarray>

standard_name :: longitude
long_name :: longitude
units :: degrees_east

	Array	Chunk
Bytes	5.27 GB	376.70 MB
Shape	(8400, 218, 360)	(1200, 218, 180)
Count	91 Tasks	62 Chunks
Type	float64	numpy.ndarray

type
()
|S7
b'sea_ice'
long_name :
Sea Ice area type
standard_name :
area_type
```
array(b'sea_ice', dtype='|S7')
```

Data variables: (2)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(1200, 2), meta=np.ndarray>

	Array	Chunk
Bytes	134.40 kB	19.20 kB
Shape	(8400, 2)	(1200, 2)
Count	21 Tasks	7 Chunks
Type	float64	numpy.ndarray

siconc

(time, j, i)

float32

dask.array<chunksize=(1200, 218, 360), meta=np.ndarray>

standard_name :: sea_ice_area_fraction
long_name :: Sea-Ice Area Percentage (Ocean Grid)
comment :: Percentage of grid cell covered by sea ice
units :: %
cell_methods :: area: mean where sea time: mean
cell_measures :: area: areacello

	Array	Chunk
Bytes	2.64 GB	376.70 MB
Shape	(8400, 218, 360)	(1200, 218, 360)
Count	21 Tasks	7 Chunks
Type	float32	numpy.ndarray

Attributes: (44)
Conventions :
CF-1.7 CMIP-6.2
activity_id :
CMIP
branch_method :
Spin-up documentation
branch_time_in_child :
72635.0
branch_time_in_parent :
72635.0
contact :
Lijuan Li (ljli@mail.iap.ac.cn)
creation_date :
2019-10-30T03:23:57Z
data_specs_version :
01.00.30
experiment :
pre-industrial control
experiment_id :
piControl
external_variables :
areacello
forcing_index :
1
frequency :
mon
further_info_url :
https://furtherinfo.es-doc.org/CMIP6.CAS.FGOALS-g3.piControl.none.r1i1p1f1
grid :
gs1x1
grid_label :
gn
initialization_index :
1
institution :
Chinese Academy of Sciences, Beijing 100029, China
institution_id :
CAS
mip_era :
CMIP6
nominal_resolution :
100 km
parent_activity_id :
CMIP
parent_experiment_id :
piControl-spinup
parent_mip_era :
CMIP6
parent_source_id :
FGOALS-g3
parent_time_units :
days since 0001-01-01
parent_variant_label :
r1i1p1f1
physics_index :
1
product :
model-output
realization_index :
1
realm :
seaIce
source :
FGOALS-g3 (2017): aerosol: none, atmos: GAMIL3.0 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), atmosChem: none, land: CLM4.0, landIce: none, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), ocnBgchem: none, seaIce: CICE4.0
source_id :
FGOALS-g3
source_type :
AOGCM
sub_experiment :
none
sub_experiment_id :
none
table_id :
SImon
table_info :
Creation Date:(09 May 2019) MD5:cde930676e68ac6780d5e4c62d3898f6
title :
FGOALS-g3 output prepared for CMIP6
tracking_id :
hdl:21.14100/eeff4470-7891-4752-aaf2-1795ab7e5208
variable_id :
siconc
variant_label :
r1i1p1f1
license :
CMIP6 model data produced by LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
cmor_version :
3.4.0