NorESM1-ME 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/uo_Omon_NorESM1-ME_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NorESM1-ME model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/uo/NCC.NorESM1-ME/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/uo_Omon_NorESM1-ME_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 320, j: 384, lev: 70, time: 3024, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 9.19e+04 9.193e+04 9.196e+04
* lev (lev) float64 0.0 5.0 10.0 15.0 ... 6.25e+03 6.5e+03 6.75e+03
* j (j) int32 1 2 3 4 5 6 7 8 ... 377 378 379 380 381 382 383 384
* i (i) int32 1 2 3 4 5 6 7 8 ... 313 314 315 316 317 318 319 320
lat (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray>
lon (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(48, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(48, 70, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(48, 384, 320, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(48, 384, 320, 4), meta=np.ndarray>
uo (time, lev, j, i) float32 dask.array<chunksize=(48, 70, 384, 320), meta=np.ndarray>
Attributes:
institution: Norwegian Climate Centre
institute_id: NCC
experiment_id: piControl
source: NorESM1-ME 2011 atmosphere: CAM-Oslo (CAM4-Oslo-...
model_id: NorESM1-ME
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: Please send any requests or bug reports to noresm...
initialization_method: 1
physics_version: 1
tracking_id: 594969d5-5668-4b3a-a585-64cdbd11745d
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2012-02-26T14:44:13Z
history: 2012-02-26T14:44:13Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (01 February 2012) 526fcd1ec53ee040039...
title: NorESM1-ME model output prepared for CMIP5 pre-in...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 320
- j: 384
- lev: 70
- time: 3024
- vertices: 4
- time(time)float6415.5 45.0 ... 9.193e+04 9.196e+04
- bounds :
- time_bnds
- units :
- days since 0901-01-01 00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 9.19035e+04, 9.19340e+04, 9.19645e+04]) - lev(lev)float640.0 5.0 10.0 ... 6.5e+03 6.75e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([0.000e+00, 5.000e+00, 1.000e+01, 1.500e+01, 2.000e+01, 2.500e+01, 3.000e+01, 4.000e+01, 5.000e+01, 6.250e+01, 7.500e+01, 8.750e+01, 1.000e+02, 1.125e+02, 1.250e+02, 1.375e+02, 1.500e+02, 1.750e+02, 2.000e+02, 2.250e+02, 2.500e+02, 2.750e+02, 3.000e+02, 3.500e+02, 4.000e+02, 4.500e+02, 5.000e+02, 5.500e+02, 6.000e+02, 6.500e+02, 7.000e+02, 7.500e+02, 8.000e+02, 8.500e+02, 9.000e+02, 9.500e+02, 1.000e+03, 1.050e+03, 1.100e+03, 1.150e+03, 1.200e+03, 1.250e+03, 1.300e+03, 1.350e+03, 1.400e+03, 1.450e+03, 1.500e+03, 1.625e+03, 1.750e+03, 1.875e+03, 2.000e+03, 2.250e+03, 2.500e+03, 2.750e+03, 3.000e+03, 3.250e+03, 3.500e+03, 3.750e+03, 4.000e+03, 4.250e+03, 4.500e+03, 4.750e+03, 5.000e+03, 5.250e+03, 5.500e+03, 5.750e+03, 6.000e+03, 6.250e+03, 6.500e+03, 6.750e+03]) - j(j)int321 2 3 4 5 6 ... 380 381 382 383 384
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 382, 383, 384], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 316 317 318 319 320
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 318, 319, 320], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(384, 320), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 491.52 kB 491.52 kB Shape (384, 320) (384, 320) Count 310 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(384, 320), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 491.52 kB 491.52 kB Shape (384, 320) (384, 320) Count 310 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(48, 2), meta=np.ndarray>
Array Chunk Bytes 48.38 kB 768 B Shape (3024, 2) (48, 2) Count 189 Tasks 63 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(48, 70, 2), meta=np.ndarray>
Array Chunk Bytes 3.39 MB 53.76 kB Shape (3024, 70, 2) (48, 70, 2) Count 252 Tasks 63 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(48, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 5.95 GB 94.37 MB Shape (3024, 384, 320, 4) (48, 384, 320, 4) Count 252 Tasks 63 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(48, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 5.95 GB 94.37 MB Shape (3024, 384, 320, 4) (48, 384, 320, 4) Count 252 Tasks 63 Chunks Type float32 numpy.ndarray - uo(time, lev, j, i)float32dask.array<chunksize=(48, 70, 384, 320), meta=np.ndarray>
- standard_name :
- sea_water_x_velocity
- long_name :
- Sea Water X Velocity
- units :
- m s-1
- original_name :
- uvellvl
- cell_methods :
- time: mean
- history :
- 2012-02-26T14:44:12Z altered by CMOR: replaced missing value flag (1e+20) with standard missing value (1e+20). 2012-02-26T14:44:13Z altered by CMOR: Converted type from 'd' to 'f'.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_NorESM1-ME_piControl_r0i0p0.nc
Array Chunk Bytes 104.04 GB 1.65 GB Shape (3024, 70, 384, 320) (48, 70, 384, 320) Count 189 Tasks 63 Chunks Type float32 numpy.ndarray
- institution :
- Norwegian Climate Centre
- institute_id :
- NCC
- experiment_id :
- piControl
- source :
- NorESM1-ME 2011 atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r139, f19L26); ocean: MICOM (MICOM-noresm-ver1_cmip5-r139, gx1v6L53); ocean biogeochemistry: HAMOCC (HAMOCC-noresm-ver1_cmip5-r139, gx1v6L53); sea ice: CICE (CICE4-noresm-ver1_cmip5-r139); land: CLM (CLM4-noresm-ver1_cmip5-r139)
- model_id :
- NorESM1-ME
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Please send any requests or bug reports to noresm-ncc@met.no.
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 594969d5-5668-4b3a-a585-64cdbd11745d
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2012-02-26T14:44:13Z
- history :
- 2012-02-26T14:44:13Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (01 February 2012) 526fcd1ec53ee040039b66c564ff1a9b
- title :
- NorESM1-ME model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1