EC-Earth3-Veg-LR 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_EC-Earth3-Veg-LR_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()

Metadata

title	EC-Earth3-Veg-LR output prepared for CMIP6
location	/shared/cmip6/data/piControl/seaIce/mon/OImon/siconc/EC-Earth3-Veg-LR/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/siconc_SImon_EC-Earth3-Veg-LR_piControl_r1i1p1f1_gn.yaml
last updated	2020-10-21

Dataset Contents

<xarray.Dataset>
Dimensions:             (bnds: 2, i: 362, j: 292, time: 6012, vertices: 4)
Coordinates:
  * time                (time) float64 15.5 45.0 74.5 ... 1.829e+05 1.83e+05
  * j                   (j) int32 1 2 3 4 5 6 7 ... 286 287 288 289 290 291 292
  * i                   (i) int32 1 2 3 4 5 6 7 ... 356 357 358 359 360 361 362
    latitude            (j, i) float64 dask.array<chunksize=(292, 362), meta=np.ndarray>
    longitude           (j, i) float64 dask.array<chunksize=(292, 362), meta=np.ndarray>
    type                |S7 b'sea_ice'
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds           (time, bnds) float64 dask.array<chunksize=(12, 2), meta=np.ndarray>
    vertices_latitude   (time, j, i, vertices) float64 dask.array<chunksize=(12, 292, 362, 4), meta=np.ndarray>
    vertices_longitude  (time, j, i, vertices) float64 dask.array<chunksize=(12, 292, 362, 4), meta=np.ndarray>
    siconc              (time, j, i) float32 dask.array<chunksize=(12, 292, 362), meta=np.ndarray>
Attributes:
    Conventions:                        CF-1.7 CMIP-6.2
    activity_id:                        CMIP
    branch_method:                      standard
    branch_time_in_parent:              164359.0
    contact:                            cmip6-data@ec-earth.org
    creation_date:                      2020-02-13T15:36:34Z
    data_specs_version:                 01.00.31
    experiment:                         pre-industrial control
    experiment_id:                      piControl
    external_variables:                 areacello
    forcing_index:                      1
    frequency:                          mon
    further_info_url:                   https://furtherinfo.es-doc.org/CMIP6....
    grid:                               T159L62-ORCA1L75
    grid_label:                         gn
    initialization_index:               1
    institution:                        AEMET, Spain; BSC, Spain; CNR-ISAC, I...
    institution_id:                     EC-Earth-Consortium
    mip_era:                            CMIP6
    nominal_resolution:                 100 km
    parent_activity_id:                 CMIP
    parent_experiment_id:               piControl-spinup
    parent_mip_era:                     CMIP6
    parent_source_id:                   EC-Earth3-Veg-LR
    parent_time_units:                  days since 1850-01-01
    parent_variant_label:               r1i1p1f1
    physics_index:                      1
    product:                            model-output
    realization_index:                  1
    realm:                              seaIce
    source:                             EC-Earth3-Veg-LR (2019): 
aerosol: n...
    source_id:                          EC-Earth3-Veg-LR
    source_type:                        AOGCM
    sub_experiment:                     none
    sub_experiment_id:                  none
    table_id:                           SImon
    table_info:                         Creation Date:(24 July 2019) MD5:7064...
    title:                              EC-Earth3-Veg-LR output prepared for ...
    variable_id:                        siconc
    variant_label:                      r1i1p1f1
    license:                            CMIP6 model data produced by EC-Earth...
    cmor_version:                       3.5.0
    branch_time_in_child:               164359.0
    tracking_id:                        hdl:21.14100/42491610-1331-4601-9dac-...
    history:                            2020-02-13T15:31:17Z ; CMOR rewrote d...
    latest_applied_cmor_fixer_version:  v3.0

xarray.Dataset

Dimensions:
- bnds: 2
- i: 362
- j: 292
- time: 6012
- vertices: 4

Coordinates: (6)

time
(time)
float64
15.5 45.0 ... 1.829e+05 1.83e+05
bounds :
time_bnds
units :
days since 2300-01-01 00:00:00
calendar :
proleptic_gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.829105e+05,
       1.829410e+05, 1.829715e+05])
```
j
(j)
int32
1 2 3 4 5 6 ... 288 289 290 291 292
units :
1
long_name :
cell index along second dimension
```
array([  1,   2,   3, ..., 290, 291, 292], dtype=int32)
```
i
(i)
int32
1 2 3 4 5 6 ... 358 359 360 361 362
units :
1
long_name :
cell index along first dimension
```
array([  1,   2,   3, ..., 360, 361, 362], dtype=int32)
```

latitude

(j, i)

float64

dask.array<chunksize=(292, 362), meta=np.ndarray>

standard_name :: latitude
long_name :: latitude
units :: degrees_north
bounds :: vertices_latitude

	Array	Chunk
Bytes	845.63 kB	845.63 kB
Shape	(292, 362)	(292, 362)
Count	2500 Tasks	1 Chunks
Type	float64	numpy.ndarray

longitude

(j, i)

float64

dask.array<chunksize=(292, 362), meta=np.ndarray>

standard_name :: longitude
long_name :: longitude
units :: degrees_east
bounds :: vertices_longitude

	Array	Chunk
Bytes	845.63 kB	845.63 kB
Shape	(292, 362)	(292, 362)
Count	2500 Tasks	1 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: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(12, 2), meta=np.ndarray>

	Array	Chunk
Bytes	96.19 kB	192 B
Shape	(6012, 2)	(12, 2)
Count	1503 Tasks	501 Chunks
Type	float64	numpy.ndarray

vertices_latitude

(time, j, i, vertices)

float64

dask.array<chunksize=(12, 292, 362, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	20.34 GB	40.59 MB
Shape	(6012, 292, 362, 4)	(12, 292, 362, 4)
Count	2004 Tasks	501 Chunks
Type	float64	numpy.ndarray

vertices_longitude

(time, j, i, vertices)

float64

dask.array<chunksize=(12, 292, 362, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	20.34 GB	40.59 MB
Shape	(6012, 292, 362, 4)	(12, 292, 362, 4)
Count	2004 Tasks	501 Chunks
Type	float64	numpy.ndarray

siconc

(time, j, i)

float32

dask.array<chunksize=(12, 292, 362), 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 :: %
original_name :: siconc
cell_methods :: area: mean where sea time: mean
cell_measures :: area: areacello
history :: 2020-02-13T15:36:34Z altered by CMOR: Treated scalar dimension: 'type'. 2020-02-13T15:36:34Z altered by CMOR: Reordered dimensions, original order: j i time.

	Array	Chunk
Bytes	2.54 GB	5.07 MB
Shape	(6012, 292, 362)	(12, 292, 362)
Count	1503 Tasks	501 Chunks
Type	float32	numpy.ndarray

Attributes: (46)
Conventions :
CF-1.7 CMIP-6.2
activity_id :
CMIP
branch_method :
standard
branch_time_in_parent :
164359.0
contact :
cmip6-data@ec-earth.org
creation_date :
2020-02-13T15:36:34Z
data_specs_version :
01.00.31
experiment :
pre-industrial control
experiment_id :
piControl
external_variables :
areacello
forcing_index :
1
frequency :
mon
further_info_url :
https://furtherinfo.es-doc.org/CMIP6.EC-Earth-Consortium.EC-Earth3-Veg-LR.piControl.none.r1i1p1f1
grid :
T159L62-ORCA1L75
grid_label :
gn
initialization_index :
1
institution :
AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden
institution_id :
EC-Earth-Consortium
mip_era :
CMIP6
nominal_resolution :
100 km
parent_activity_id :
CMIP
parent_experiment_id :
piControl-spinup
parent_mip_era :
CMIP6
parent_source_id :
EC-Earth3-Veg-LR
parent_time_units :
days since 1850-01-01
parent_variant_label :
r1i1p1f1
physics_index :
1
product :
model-output
realization_index :
1
realm :
seaIce
source :
EC-Earth3-Veg-LR (2019): aerosol: none atmos: IFS cy36r4 (TL159, linearly reduced Gaussian grid equivalent to 320 x 160 longitude/latitude; 62 levels; top level 5 hPa) atmosChem: none land: HTESSEL (land surface scheme built in IFS) and LPJ-GUESS v4 landIce: none ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m) ocnBgchem: none seaIce: LIM3
source_id :
EC-Earth3-Veg-LR
source_type :
AOGCM
sub_experiment :
none
sub_experiment_id :
none
table_id :
SImon
table_info :
Creation Date:(24 July 2019) MD5:70649eeb16bc90c431e35b583fac7375
title :
EC-Earth3-Veg-LR output prepared for CMIP6
variable_id :
siconc
variant_label :
r1i1p1f1
license :
CMIP6 model data produced by EC-Earth-Consortium 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 http://www.ec-earth.org. 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 :
3.5.0
branch_time_in_child :
164359.0
tracking_id :
hdl:21.14100/42491610-1331-4601-9dac-ac6c6065decb
history :
2020-02-13T15:31:17Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.; processed by ece2cmor v1.3.0, git rev. 1dffae19d25e71b416496a3126a26ef2cf46f87a-changes The cmor-fixer version v3.0 script has been applied.
latest_applied_cmor_fixer_version :
v3.0