IPSL-CM5B-LR 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/tauvo_Omon_IPSL-CM5B-LR_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | IPSL-CM5B-LR model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/tauvo/IPSL.IPSL-CM5B-LR/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauvo_Omon_IPSL-CM5B-LR_piControl_r1i1p1.yaml |
| last updated | 2015-01-16 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 182, j: 149, time: 3600, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.095e+05 1.095e+05
* j (j) int32 1 2 3 4 5 6 7 8 ... 142 143 144 145 146 147 148 149
* i (i) int32 1 2 3 4 5 6 7 8 ... 175 176 177 178 179 180 181 182
lat (j, i) float32 -77.98417 -77.98417 ... 50.504086 49.96794
lon (j, i) float32 78.00008 80.0 81.99992 ... 80.33356 80.0
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 0.0 31.0 31.0 ... 1.095e+05 1.095e+05
lat_vertices (j, i, vertices) float32 ...
lon_vertices (j, i, vertices) float32 ...
tauvo (time, j, i) float32 ...
Attributes:
institution: IPSL (Institut Pierre Simon Laplace, Paris, France)
institute_id: IPSL
experiment_id: piControl
source: IPSL-CM5B-LR (2011) : atmos : LMDZ5 (LMDZ5_NPv3.1...
model_id: IPSL-CM5B-LR
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Se...
comment: This is the preindustrial control simulation. Thi...
references: Model documentation and further reference availab...
initialization_method: 1
physics_version: 1
tracking_id: ce258242-c2a7-4912-9903-72bccb59eb3a
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2012-01-26T04:42:56Z
history: 2012-01-26T04:42:56Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (31 January 2011) d2d6beec2b8fea5bbed3...
title: IPSL-CM5B-LR model output prepared for CMIP5 pre-...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- i: 182
- j: 149
- time: 3600
- vertices: 4
- time(time)float6415.5 45.0 ... 1.095e+05 1.095e+05
- bounds :
- time_bnds
- units :
- days since 1830-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.094235e+05, 1.094540e+05, 1.094845e+05]) - j(j)int321 2 3 4 5 6 ... 145 146 147 148 149
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149], dtype=int32) - i(i)int321 2 3 4 5 6 ... 178 179 180 181 182
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182], dtype=int32) - lat(j, i)float32...
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
array([[-77.98417 , -77.98417 , -77.98417 , ..., -77.98417 , -77.98417 , -77.98417 ], [-77.56062 , -77.56062 , -77.56062 , ..., -77.56062 , -77.56062 , -77.56062 ], [-77.12238 , -77.12238 , -77.12238 , ..., -77.12238 , -77.12238 , -77.12238 ], ..., [ 50.523174, 49.989574, 50.523174, ..., 51.196697, 50.523174, 49.989574], [ 50.523174, 49.989574, 50.523174, ..., 51.196697, 50.523174, 49.989574], [ 50.504086, 49.96794 , 50.504086, ..., 51.17734 , 50.504086, 49.96794 ]], dtype=float32) - lon(j, i)float32...
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
array([[78.00008 , 80. , 81.99992 , ..., 76.00015 , 78.00008 , 80. ], [78.00008 , 80. , 81.99992 , ..., 76.00015 , 78.00008 , 80. ], [78.00008 , 80. , 81.99992 , ..., 76.00015 , 78.00008 , 80. ], ..., [79.89064 , 80. , 80.10936 , ..., 79.83363 , 79.89064 , 80. ], [80.10936 , 80. , 79.89064 , ..., 80.16637 , 80.10936 , 80. ], [80.33356 , 80. , 79.66644 , ..., 80.506714, 80.33356 , 80. ]], dtype=float32)
- time_bnds(time, bnds)float64...
array([[0.00000e+00, 3.10000e+01], [3.10000e+01, 5.90000e+01], [5.90000e+01, 9.00000e+01], ..., [1.09408e+05, 1.09439e+05], [1.09439e+05, 1.09469e+05], [1.09469e+05, 1.09500e+05]]) - lat_vertices(j, i, vertices)float32...
- units :
- degrees_north
[108472 values with dtype=float32]
- lon_vertices(j, i, vertices)float32...
- units :
- degrees_east
[108472 values with dtype=float32]
- tauvo(time, j, i)float32...
- standard_name :
- surface_downward_y_stress
- long_name :
- Surface Downward Y Stress
- comment :
- This is the stress on the liquid ocean from overlying atmosphere, sea ice, ice shelf, etc.
- units :
- N m-2
- original_name :
- sometauy
- original_units :
- N/m2
- history :
- 2012-01-26T04:42:53Z altered by CMOR: Converted units from 'N/m2' to 'N m-2'. 2012-01-26T04:42:53Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 minutes) area: mean where sea
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_IPSL-CM5B-LR_piControl_r0i0p0.nc
[97624800 values with dtype=float32]
- institution :
- IPSL (Institut Pierre Simon Laplace, Paris, France)
- institute_id :
- IPSL
- experiment_id :
- piControl
- source :
- IPSL-CM5B-LR (2011) : atmos : LMDZ5 (LMDZ5_NPv3.1, 96x95x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)
- model_id :
- IPSL-CM5B-LR
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Sebastien Denvil
- comment :
- This is the preindustrial control simulation. This simulation was initiated from a preindustrial spinup simulation when equilibrium was reached.
- references :
- Model documentation and further reference available here : http://icmc.ipsl.fr
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- ce258242-c2a7-4912-9903-72bccb59eb3a
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2012-01-26T04:42:56Z
- history :
- 2012-01-26T04:42:56Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (31 January 2011) d2d6beec2b8fea5bbed33920a6e08bbe
- title :
- IPSL-CM5B-LR model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1