IPSL-CM5A-MR 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/clw_Amon_IPSL-CM5A-MR_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | IPSL-CM5A-MR model output prepared for CMIP5 RCP8.5 |
location | /shared/cmip5/data/rcp85/atmos/mon/Amon/clw/IPSL.IPSL-CM5A-MR/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_IPSL-CM5A-MR_rcp85_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 143, lev: 39, lon: 144, time: 1140) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 3.46e+04 3.463e+04 3.466e+04 * lev (lev) float64 0.9958 0.9863 0.9736 ... 0.0001571 4.251e-05 * lat (lat) float64 -90.0 -88.73 -87.46 -86.2 ... 86.2 87.46 88.73 90.0 * lon (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray> lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray> ap (time, lev) float64 dask.array<chunksize=(600, 39), meta=np.ndarray> b (time, lev) float64 dask.array<chunksize=(600, 39), meta=np.ndarray> ps (time, lat, lon) float32 dask.array<chunksize=(600, 143, 144), meta=np.ndarray> ap_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray> b_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(600, 143, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(600, 144, 2), meta=np.ndarray> clw (time, lev, lat, lon) float32 dask.array<chunksize=(600, 39, 143, 144), meta=np.ndarray> Attributes: institution: IPSL (Institut Pierre Simon Laplace, Paris, France) institute_id: IPSL experiment_id: rcp85 source: IPSL-CM5A-MR (2010) : atmos : LMDZ4 (LMDZ4_v5, 14... model_id: IPSL-CM5A-MR forcing: Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA parent_experiment_id: historical parent_experiment_rip: r1i1p1 branch_time: 2005.0 contact: ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Se... comment: This 21th century simulation has been forced by p... references: Model documentation and further reference availab... initialization_method: 1 physics_version: 1 tracking_id: 02fb4932-7a35-4de2-bda8-365c6bca57f7 product: output experiment: RCP8.5 frequency: mon creation_date: 2011-11-05T12:44:28Z history: 2011-11-05T12:44:28Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (31 January 2011) 53b766a395ac41696af4... title: IPSL-CM5A-MR model output prepared for CMIP5 RCP8.5 parent_experiment: historical modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 143
- lev: 39
- lon: 144
- time: 1140
- time(time)float6415.5 45.0 ... 3.463e+04 3.466e+04
- bounds :
- time_bnds
- units :
- days since 2006-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 3.45985e+04, 3.46290e+04, 3.46595e+04])
- lev(lev)float640.9958 0.9863 ... 4.251e-05
- bounds :
- lev_bnds
- units :
- 1
- axis :
- Z
- positive :
- down
- long_name :
- hybrid sigma pressure coordinate
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- formula :
- p = ap + b*ps
- formula_terms :
- ap: ap b: b ps: ps
array([9.957716e-01, 9.862627e-01, 9.736140e-01, 9.558820e-01, 9.313989e-01, 8.988125e-01, 8.571400e-01, 8.058494e-01, 7.449900e-01, 6.753821e-01, 5.988512e-01, 5.184424e-01, 4.384500e-01, 3.639867e-01, 2.998238e-01, 2.486269e-01, 2.096053e-01, 1.791188e-01, 1.532737e-01, 1.299950e-01, 1.088261e-01, 8.982668e-02, 7.305642e-02, 5.850303e-02, 4.608948e-02, 3.568636e-02, 2.712528e-02, 2.021213e-02, 1.473953e-02, 1.049771e-02, 7.283558e-03, 4.907410e-03, 3.197900e-03, 2.004757e-03, 1.199952e-03, 6.774612e-04, 3.520031e-04, 1.570627e-04, 4.250516e-05])
- lat(lat)float64-90.0 -88.73 -87.46 ... 88.73 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -88.732391, -87.46479 , -86.197182, -84.929581, -83.661972, -82.394363, -81.126762, -79.859154, -78.591553, -77.323944, -76.056335, -74.788734, -73.521126, -72.253525, -70.985916, -69.718307, -68.450706, -67.183098, -65.915489, -64.647888, -63.380283, -62.112675, -60.84507 , -59.577465, -58.30986 , -57.042255, -55.774647, -54.507042, -53.239437, -51.971832, -50.704224, -49.436619, -48.169014, -46.901409, -45.633804, -44.366196, -43.098591, -41.830986, -40.563381, -39.295776, -38.028168, -36.760563, -35.492958, -34.225353, -32.957745, -31.690142, -30.422535, -29.15493 , -27.887323, -26.619719, -25.352112, -24.084507, -22.816902, -21.549295, -20.281691, -19.014084, -17.746479, -16.478872, -15.211267, -13.943662, -12.676056, -11.408451, -10.140845, -8.87324 , -7.605634, -6.338028, -5.070423, -3.802817, -2.535211, -1.267606, 0. , 1.267606, 2.535211, 3.802817, 5.070423, 6.338028, 7.605634, 8.87324 , 10.140845, 11.408451, 12.676056, 13.943662, 15.211267, 16.478872, 17.746479, 19.014084, 20.281691, 21.549295, 22.816902, 24.084507, 25.352112, 26.619719, 27.887323, 29.15493 , 30.422535, 31.690142, 32.957745, 34.225353, 35.492958, 36.760563, 38.028168, 39.295776, 40.563381, 41.830986, 43.098591, 44.366196, 45.633804, 46.901409, 48.169014, 49.436619, 50.704224, 51.971832, 53.239437, 54.507042, 55.774647, 57.042255, 58.30986 , 59.577465, 60.84507 , 62.112675, 63.380283, 64.647888, 65.915489, 67.183098, 68.450706, 69.718307, 70.985916, 72.253525, 73.521126, 74.788734, 76.056335, 77.323944, 78.591553, 79.859154, 81.126762, 82.394363, 83.661972, 84.929581, 86.197182, 87.46479 , 88.732391, 90. ])
- lon(lon)float640.0 2.5 5.0 ... 352.5 355.0 357.5
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 2.5, 5. , 7.5, 10. , 12.5, 15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, 85. , 87.5, 90. , 92.5, 95. , 97.5, 100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5, 125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5, 150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5, 175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5, 200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5, 225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5, 250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5, 275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5, 300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5, 325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5, 350. , 352.5, 355. , 357.5])
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 9.60 kB Shape (1140, 2) (600, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
- formula :
- p = ap + b*ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- units :
- 1
- formula_terms :
- ap: ap_bnds b: b_bnds ps: ps
Array Chunk Bytes 711.36 kB 374.40 kB Shape (1140, 39, 2) (600, 39, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - ap(time, lev)float64dask.array<chunksize=(600, 39), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: ap(k)
- units :
- Pa
Array Chunk Bytes 355.68 kB 187.20 kB Shape (1140, 39) (600, 39) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(600, 39), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 355.68 kB 187.20 kB Shape (1140, 39) (600, 39) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(600, 143, 144), 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
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
Array Chunk Bytes 93.90 MB 49.42 MB Shape (1140, 143, 144) (600, 143, 144) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray - ap_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: ap(k+1/2)
- units :
- Pa
Array Chunk Bytes 711.36 kB 374.40 kB Shape (1140, 39, 2) (600, 39, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 711.36 kB 374.40 kB Shape (1140, 39, 2) (600, 39, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 143, 2), meta=np.ndarray>
Array Chunk Bytes 2.61 MB 1.37 MB Shape (1140, 143, 2) (600, 143, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 144, 2), meta=np.ndarray>
Array Chunk Bytes 2.63 MB 1.38 MB Shape (1140, 144, 2) (600, 144, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - clw(time, lev, lat, lon)float32dask.array<chunksize=(600, 39, 143, 144), meta=np.ndarray>
- standard_name :
- mass_fraction_of_cloud_liquid_water_in_air
- long_name :
- Mass Fraction of Cloud Liquid Water
- comment :
- Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
- units :
- 1
- original_name :
- lwcon
- original_units :
- kg/kg
- history :
- 2011-11-05T12:44:11Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2011-11-05T12:44:11Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2011-11-05T12:44:28Z altered by CMOR: Inverted axis: lat.
- cell_methods :
- time: mean (interval: 30 minutes)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_IPSL-CM5A-MR_rcp85_r0i0p0.nc areacella: areacella_fx_IPSL-CM5A-MR_rcp85_r0i0p0.nc
Array Chunk Bytes 3.66 GB 1.93 GB Shape (1140, 39, 143, 144) (600, 39, 143, 144) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- IPSL (Institut Pierre Simon Laplace, Paris, France)
- institute_id :
- IPSL
- experiment_id :
- rcp85
- source :
- IPSL-CM5A-MR (2010) : atmos : LMDZ4 (LMDZ4_v5, 144x143x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)
- model_id :
- IPSL-CM5A-MR
- forcing :
- Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 2005.0
- contact :
- ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Sebastien Denvil
- comment :
- This 21th century simulation has been forced by prescribed concentration following the rcp 8.5 scenario.
- references :
- Model documentation and further reference available here : http://icmc.ipsl.fr
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 02fb4932-7a35-4de2-bda8-365c6bca57f7
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2011-11-05T12:44:28Z
- history :
- 2011-11-05T12:44:28Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5
- title :
- IPSL-CM5A-MR model output prepared for CMIP5 RCP8.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1