ACCESS1.3 model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_ACCESS1-3_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | ACCESS1.3 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/tos/CSIRO-BOM.ACCESS1-3/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_ACCESS1-3_piControl_r1i1p1.yaml |
| last updated | 2013-05-27 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 360, j: 300, time: 6000, vertices: 4)
Coordinates:
* time (time) float64 9.096e+04 9.099e+04 ... 2.735e+05 2.736e+05
* j (j) int32 0 1 2 3 4 5 6 7 ... 292 293 294 295 296 297 298 299
* i (i) int32 0 1 2 3 4 5 6 7 ... 352 353 354 355 356 357 358 359
lat (j, i) float32 dask.array<chunksize=(300, 360), meta=np.ndarray>
lon (j, i) float32 dask.array<chunksize=(300, 360), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(3000, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3000, 300, 360, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3000, 300, 360, 4), meta=np.ndarray>
tos (time, j, i) float32 dask.array<chunksize=(3000, 300, 360), meta=np.ndarray>
Attributes:
institution: CSIRO (Commonwealth Scientific and Industrial Res...
institute_id: CSIRO-BOM
experiment_id: piControl
source: ACCESS1.3: unknown source
model_id: ACCESS1.3
forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: The ACCESS wiki: http://wiki.csiro.au/confluence/...
history: CMIP5 compliant file produced from raw ACCESS mod...
references: See http://wiki.csiro.au/confluence/display/ACCES...
initialization_method: 1
physics_version: 1
tracking_id: d5ddd8bc-6882-494f-bce1-ac28fcf731bc
version_number: v20120413
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2012-04-12T18:09:01Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (01 February 2012) 67b7e578e148f9423f7...
title: ACCESS1.3 model output prepared for CMIP5 pre-ind...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.8.0xarray.Dataset
- bnds: 2
- i: 360
- j: 300
- time: 6000
- vertices: 4
- time(time)float649.096e+04 9.099e+04 ... 2.736e+05
- bounds :
- time_bnds
- units :
- days since 0001-01-01
- calendar :
- proleptic_gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 90960.5, 90990. , 91019.5, ..., 273489.5, 273520. , 273550.5])
- j(j)int320 1 2 3 4 5 ... 295 296 297 298 299
- units :
- 1
- long_name :
- cell index along second dimension
array([ 0, 1, 2, ..., 297, 298, 299], dtype=int32)
- i(i)int320 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)
- lat(j, i)float32dask.array<chunksize=(300, 360), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 432.00 kB 432.00 kB Shape (300, 360) (300, 360) Count 5 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(300, 360), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 432.00 kB 432.00 kB Shape (300, 360) (300, 360) Count 5 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(3000, 2), meta=np.ndarray>
Array Chunk Bytes 96.00 kB 48.00 kB Shape (6000, 2) (3000, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(3000, 300, 360, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 10.37 GB 5.18 GB Shape (6000, 300, 360, 4) (3000, 300, 360, 4) Count 8 Tasks 2 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(3000, 300, 360, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 10.37 GB 5.18 GB Shape (6000, 300, 360, 4) (3000, 300, 360, 4) Count 8 Tasks 2 Chunks Type float32 numpy.ndarray - tos(time, j, i)float32dask.array<chunksize=(3000, 300, 360), meta=np.ndarray>
- standard_name :
- sea_surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- "this may differ from ""surface temperature"" in regions of sea ice."
- units :
- K
- cell_methods :
- time: mean
- cell_measures :
- area: areacello
- history :
- 2012-04-12T18:09:00Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_ACCESS1-3_piControl_r0i0p0.nc areacello: areacello_fx_ACCESS1-3_piControl_r0i0p0.nc
Array Chunk Bytes 2.59 GB 1.30 GB Shape (6000, 300, 360) (3000, 300, 360) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)
- institute_id :
- CSIRO-BOM
- experiment_id :
- piControl
- source :
- ACCESS1.3: unknown source
- model_id :
- ACCESS1.3
- forcing :
- GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a), (Constant Pre-Industrial (1850) forcings for GHG and aerosols, and the 1844-1856 average value for solar forcing)
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.
- history :
- CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-04-12T18:09:01Z CMOR rewrote data to comply with CF standards and CMIP5 requirements. Wed May 2 12:17:37 2012: updated version number to v20120413.
- references :
- See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- d5ddd8bc-6882-494f-bce1-ac28fcf731bc
- version_number :
- v20120413
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2012-04-12T18:09:01Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (01 February 2012) 67b7e578e148f9423f77c0e16f72bbab
- title :
- ACCESS1.3 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.8.0