CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/snc_LImon_CSIRO-Mk3-6-0_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/landIce/mon/LImon/snc/CSIRO-QCCCE.CSIRO-Mk3-6-0/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/snc_LImon_CSIRO-Mk3-6-0_rcp85_r1i1p1.yaml |
| last updated | 2013-05-31 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 96, lon: 192, time: 3540)
Coordinates:
* time (time) float64 5.696e+04 5.698e+04 ... 1.646e+05 1.646e+05
* lat (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57
* lon (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(1140, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(1140, 96, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(1140, 192, 2), meta=np.ndarray>
snc (time, lat, lon) float32 dask.array<chunksize=(1140, 96, 192), meta=np.ndarray>
Attributes:
institution: Australian Commonwealth Scientific and Industrial...
institute_id: CSIRO-QCCCE
experiment_id: rcp85
source: CSIRO-Mk3-6-0 2010 atmosphere: AGCM v7.3.8 (T63 s...
model_id: CSIRO-Mk3-6-0
forcing: Ant,Nat (RCP 8.5)
parent_experiment_id: historical
parent_experiment_rip: r1i1p1
branch_time: 56940.0
contact: Project leaders: Stephen Jeffrey (Stephen.Jeffrey...
history: Forcing datasets for the relevant month/year are ...
comment: Model output post-processed by the CSIRO-QCCCE CM...
references: a) Rotstayn, L., Collier, M., Dix, M., Feng, Y., ...
initialization_method: 1
physics_version: 1
tracking_id: aa8c2fb6-70b9-48c1-9713-405ab1d02a43
version_number: v20120323
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2012-03-27T23:40:06Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table LImon (27 April 2011) 68513cae5122cb5d96351...
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5
parent_experiment: historical
modeling_realm: landIce land
realization: 1
cmor_version: 2.6.0xarray.Dataset
- bnds: 2
- lat: 96
- lon: 192
- time: 3540
- time(time)float645.696e+04 5.698e+04 ... 1.646e+05
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 56955.5, 56985. , 57014.5, ..., 164538.5, 164569. , 164599.5])
- lat(lat)float64-88.57 -86.72 ... 86.72 88.57
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-88.572166, -86.722534, -84.861969, -82.99894 , -81.134979, -79.270561, -77.405891, -75.541061, -73.676132, -71.811134, -69.946083, -68.080994, -66.215874, -64.350731, -62.485569, -60.620396, -58.755211, -56.890011, -55.024807, -53.159595, -51.294376, -49.429153, -47.563927, -45.698692, -43.833458, -41.96822 , -40.102978, -38.237736, -36.37249 , -34.507244, -32.641994, -30.776745, -28.911493, -27.04624 , -25.180986, -23.315731, -21.450476, -19.585218, -17.719961, -15.854704, -13.989446, -12.124187, -10.258928, -8.393669, -6.528409, -4.66315 , -2.79789 , -0.93263 , 0.93263 , 2.79789 , 4.66315 , 6.528409, 8.393669, 10.258928, 12.124187, 13.989446, 15.854704, 17.719961, 19.585218, 21.450476, 23.315731, 25.180986, 27.04624 , 28.911493, 30.776745, 32.641994, 34.507244, 36.37249 , 38.237736, 40.102978, 41.96822 , 43.833458, 45.698692, 47.563927, 49.429153, 51.294376, 53.159595, 55.024807, 56.890011, 58.755211, 60.620396, 62.485569, 64.350731, 66.215874, 68.080994, 69.946083, 71.811134, 73.676132, 75.541061, 77.405891, 79.270561, 81.134979, 82.99894 , 84.861969, 86.722534, 88.572166]) - lon(lon)float640.0 1.875 3.75 ... 356.2 358.1
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125, 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125, 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125, 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125, 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125, 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125, 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125, 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125, 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125, 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125, 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125, 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125, 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125, 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125, 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125, 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125, 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125, 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125, 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125, 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125, 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125, 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125, 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125, 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125])
- time_bnds(time, bnds)float64dask.array<chunksize=(1140, 2), meta=np.ndarray>
Array Chunk Bytes 56.64 kB 38.40 kB Shape (3540, 2) (2400, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(1140, 96, 2), meta=np.ndarray>
Array Chunk Bytes 5.44 MB 3.69 MB Shape (3540, 96, 2) (2400, 96, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(1140, 192, 2), meta=np.ndarray>
Array Chunk Bytes 10.87 MB 7.37 MB Shape (3540, 192, 2) (2400, 192, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - snc(time, lat, lon)float32dask.array<chunksize=(1140, 96, 192), meta=np.ndarray>
- standard_name :
- surface_snow_area_fraction
- long_name :
- Snow Area Fraction
- comment :
- Fractional coverage is not provided. Value = 1.0 for land pixels where the snow mass exceeds 0.1 kg/m2, otherwise value = 0.0. NOTE: no grid cells consist of a mix of ocean and land., CMIP5_table_comment: Fraction of each grid cell that is occupied by snow that rests on land portion of cell.
- units :
- %
- original_name :
- snd
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_CSIRO-Mk3-6-0_rcp85_r0i0p0.nc areacella: areacella_fx_CSIRO-Mk3-6-0_rcp85_r0i0p0.nc
Array Chunk Bytes 261.00 MB 176.95 MB Shape (3540, 96, 192) (2400, 96, 192) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- Australian Commonwealth Scientific and Industrial Research Organization (CSIRO) Marine and Atmospheric Research (Melbourne, Australia) in collaboration with the Queensland Climate Change Centre of Excellence (QCCCE) (Brisbane, Australia)
- institute_id :
- CSIRO-QCCCE
- experiment_id :
- rcp85
- source :
- CSIRO-Mk3-6-0 2010 atmosphere: AGCM v7.3.8 (T63 spectral, 1.875 degrees EW x approx. 1.875 degrees NS, 18 levels); ocean: GFDL MOM2.2 (1.875 degrees EW x approx. 0.9375 degrees NS, 31 levels)
- model_id :
- CSIRO-Mk3-6-0
- forcing :
- Ant,Nat (RCP 8.5)
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 56940.0
- contact :
- Project leaders: Stephen Jeffrey (Stephen.Jeffrey@qld.gov.au) & Leon Rotstayn (Leon.Rotstayn@csiro.au). Project team: Mark Collier (Mark.Collier@csiro.au: diagnostics & post-processing), Stacey Dravitzki (Stacey.Dravitzki@csiro.au: post-processing), Carlo Hamalainen (Carlo.Hamalainen@qld.gov.au: post-processing), Steve Jeffrey (Stephen.Jeffrey@qld.gov.au: modeling & post-processing), Chris Moeseneder (Chris.Moeseneder@csiro.au: post-processing), Leon Rotstayn (Leon.Rotstayn@csiro.au: modeling & atmos. physics), Jozef Syktus (Jozef.Syktus@qld.gov.au: model evaluation), Kenneth Wong (Kenneth.Wong@qld.gov.au: data management), Contributors: Martin Dix (Martin.Dix@csiro.au: tech. support), Hal Gordon (Hal.Gordon@csiro.au: atmos. dynamics), Eva Kowalczyk (Eva.Kowalczyk@csiro.au: land-surface), Siobhan O\'Farrell (Siobhan.OFarrell@csiro.au: ocean & sea-ice)
- history :
- Forcing datasets for the relevant month/year are used where available. Exceptions are: ozone data from 2099 are used for the period 2100-2300; aerosol emissions (and their impact on snow albedo) from 2100 are used for the period 2101-2300. 2012-03-27T23:40:06Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- Model output post-processed by the CSIRO-QCCCE CMIP5 Data post-processor for the IPCC Fifth Assessment.
- references :
- a) Rotstayn, L., Collier, M., Dix, M., Feng, Y., Gordon, H., O\'Farrell, S., Smith, I. and Syktus, J. 2010. Improved simulation of Australian climate and ENSO-related climate variability in a GCM with an interactive aerosol treatment. Int. J. Climatology, vol 30(7), pp1067-1088, DOI 10.1002/joc.1952 b) Please refer to online documentation at: http://cmip-pcmdi.llnl.gov/cmip5/
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- aa8c2fb6-70b9-48c1-9713-405ab1d02a43
- version_number :
- v20120323
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2012-03-27T23:40:06Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table LImon (27 April 2011) 68513cae5122cb5d96351c205920692e
- title :
- CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- landIce land
- realization :
- 1
- cmor_version :
- 2.6.0