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/cli_Amon_CSIRO-Mk3-6-0_rcp85_r3i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/cli/CSIRO-QCCCE.CSIRO-Mk3-6-0/r3i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cli_Amon_CSIRO-Mk3-6-0_rcp85_r3i1p1.yaml |
| last updated | 2013-05-31 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 96, lev: 18, lon: 192, time: 3540)
Coordinates:
* time (time) float64 5.696e+04 5.698e+04 ... 1.646e+05 1.646e+05
* lev (lev) float64 0.9955 0.9784 0.9458 ... 0.0542 0.0216 0.0045
* 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=(240, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
p0 (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0
a (time, lev) float64 dask.array<chunksize=(240, 18), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(240, 18), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(240, 96, 192), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(240, 96, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(240, 192, 2), meta=np.ndarray>
cli (time, lev, lat, lon) float32 dask.array<chunksize=(240, 18, 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: r3i1p1
branch_time: 56940.0
contact: Project leaders: Stephen Jeffrey (Stephen.Jeffrey...
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: 1375b6b0-8fbd-416e-a992-f07ab1ecba1c
version_number: v20110518
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2011-08-10T00:39:33Z
history: Experiment was initially truncated at December 20...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (27 April 2011) 36bda60a55c2e1a01b1b17...
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5
parent_experiment: historical
modeling_realm: atmos
realization: 3
cmor_version: 2.6.0xarray.Dataset
- bnds: 2
- lat: 96
- lev: 18
- 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])
- lev(lev)float640.9955 0.9784 ... 0.0216 0.0045
- bounds :
- lev_bnds
- units :
- 1
- axis :
- Z
- positive :
- down
- long_name :
- hybrid sigma pressure coordinate
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- formula :
- p = a*p0 + b*ps
- formula_terms :
- p0: p0 a: a b: b ps: ps
array([0.9955, 0.9784, 0.9458, 0.8999, 0.8426, 0.7761, 0.7023, 0.6235, 0.5415, 0.4585, 0.3765, 0.2977, 0.2239, 0.1574, 0.1001, 0.0542, 0.0216, 0.0045]) - 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=(240, 2), meta=np.ndarray>
Array Chunk Bytes 56.64 kB 3.84 kB Shape (3540, 2) (240, 2) Count 45 Tasks 15 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
- formula :
- p = a*p0 + b*ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- units :
- 1
- formula_terms :
- p0: p0 a: a_bnds b: b_bnds ps: ps
Array Chunk Bytes 1.02 MB 69.12 kB Shape (3540, 18, 2) (240, 18, 2) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - p0(time)float32100000.0 100000.0 ... 100000.0
- long_name :
- vertical coordinate formula term: reference pressure
- units :
- Pa
array([100000., 100000., 100000., ..., 100000., 100000., 100000.], dtype=float32) - a(time, lev)float64dask.array<chunksize=(240, 18), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 509.76 kB 34.56 kB Shape (3540, 18) (240, 18) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(240, 18), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 509.76 kB 34.56 kB Shape (3540, 18) (240, 18) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(240, 96, 192), meta=np.ndarray>
- standard_name :
- surface_air_pressure
- long_name :
- Surface Air Pressure
- comment :
- not, in general, the same as mean sea-level pressure
- units :
- Pa
- original_units :
- hPa
- history :
- 2011-08-10T00:39:33Z altered by CMOR: Converted units from 'hPa' to 'Pa'.
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
Array Chunk Bytes 261.00 MB 17.69 MB Shape (3540, 96, 192) (240, 96, 192) Count 45 Tasks 15 Chunks Type float32 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 1.02 MB 69.12 kB Shape (3540, 18, 2) (240, 18, 2) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 18, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 1.02 MB 69.12 kB Shape (3540, 18, 2) (240, 18, 2) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(240, 96, 2), meta=np.ndarray>
Array Chunk Bytes 5.44 MB 368.64 kB Shape (3540, 96, 2) (240, 96, 2) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(240, 192, 2), meta=np.ndarray>
Array Chunk Bytes 10.87 MB 737.28 kB Shape (3540, 192, 2) (240, 192, 2) Count 60 Tasks 15 Chunks Type float64 numpy.ndarray - cli(time, lev, lat, lon)float32dask.array<chunksize=(240, 18, 96, 192), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_ice_in_air
- long_name :
- Mass Fraction of Cloud Ice
- comment :
- Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- i01_i18
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CSIRO-Mk3-6-0_rcp85_r0i0p0.nc areacella: areacella_fx_CSIRO-Mk3-6-0_rcp85_r0i0p0.nc
- history :
- 2011-08-10T00:39:33Z altered by CMOR: Inverted axis: lev.
Array Chunk Bytes 4.70 GB 318.50 MB Shape (3540, 18, 96, 192) (240, 18, 96, 192) Count 45 Tasks 15 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 :
- r3i1p1
- 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)
- 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 :
- 1375b6b0-8fbd-416e-a992-f07ab1ecba1c
- version_number :
- v20110518
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2011-08-10T00:39:33Z
- history :
- Experiment was initially truncated at December 2099 as RCP data for ozone were not available for 2100 and beyond. Modelling for year 2100 was performed using ozone data from 2099. 2011-08-10T00:39:33Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (27 April 2011) 36bda60a55c2e1a01b1b1782daf91fea
- title :
- CSIRO-Mk3-6-0 model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 3
- cmor_version :
- 2.6.0