CESM_POP_hires_RCP8_5

NCAR CESM POP model run BRCP85C5CN_ne120_t12_pop62.c13b17.asdphys.001

Load in Python

from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean/CESM_POP.yaml") ds = cat["CESM_POP_hires_RCP8_5"].to_dask()

Working with requester pays data

Several of the datasets within the cloud data catalog are contained in requester pays storage buckets. This means that a user requesting data must provide their own billing project (created and authenticated through Google Cloud Platform) to be billed for the charges associated with accessing a dataset. To set up an GCP billing project and use it for authentication in applications:

Metadata

time_period 2000-2050
tags ['ocean', 'model']

Dataset Contents

Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • nlat: 2400
    • nlon: 3600
    • time: 16401
    • z_t: 62
    • z_t_150m: 15
    • z_w: 62
    • z_w_bot: 62
    • z_w_top: 62
    • ANGLE
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      angle grid makes with latitude line
      units :
      radians
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • ANGLET
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      angle grid makes with latitude line on T grid
      units :
      radians
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • DXT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      x-spacing centered at T points
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • DXU
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      x-spacing centered at U points
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • DYT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      y-spacing centered at T points
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • DYU
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      y-spacing centered at U points
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      ocean depth at T points
      units :
      centimeter
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HTE
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      cell widths on East sides of T cell
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HTN
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      cell widths on North sides of T cell
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HU
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      ocean depth at U points
      units :
      centimeter
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HUS
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      cell widths on South sides of U cell
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • HUW
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      cell widths on West sides of U cell
      units :
      centimeters
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • KMT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      k Index of Deepest Grid Cell on T Grid
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • KMU
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      k Index of Deepest Grid Cell on U Grid
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • REGION_MASK
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      basin index number (signed integers)
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • T0_Kelvin
      ()
      float64
      ...
      long_name :
      Zero Point for Celsius
      units :
      degK
      array(273.15)
    • TAREA
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      area of T cells
      units :
      centimeter^2
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • TLAT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      array of t-grid latitudes
      units :
      degrees_north
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • TLONG
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      array of t-grid longitudes
      units :
      degrees_east
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • UAREA
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      area of U cells
      units :
      centimeter^2
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • ULAT
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      array of u-grid latitudes
      units :
      degrees_north
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • ULONG
      (nlat, nlon)
      float64
      dask.array<chunksize=(2400, 3600), meta=np.ndarray>
      long_name :
      array of u-grid longitudes
      units :
      degrees_east
      Array Chunk
      Bytes 69.12 MB 69.12 MB
      Shape (2400, 3600) (2400, 3600)
      Count 2 Tasks 1 Chunks
      Type float64 numpy.ndarray
      3600 2400
    • cp_air
      ()
      float64
      ...
      long_name :
      Heat Capacity of Air
      units :
      joule/kg/degK
      array(1004.64)
    • cp_sw
      ()
      float64
      ...
      long_name :
      Specific Heat of Sea Water
      units :
      erg/g/K
      array(39960000.)
    • days_in_norm_year
      ()
      timedelta64[ns]
      ...
      long_name :
      Calendar Length
      array(31536000000000000, dtype='timedelta64[ns]')
    • dz
      (z_t)
      float32
      dask.array<chunksize=(62,), meta=np.ndarray>
      long_name :
      thickness of layer k
      units :
      centimeters
      Array Chunk
      Bytes 248 B 248 B
      Shape (62,) (62,)
      Count 2 Tasks 1 Chunks
      Type float32 numpy.ndarray
      62 1
    • dzw
      (z_w)
      float32
      dask.array<chunksize=(62,), meta=np.ndarray>
      long_name :
      midpoint of k to midpoint of k+1
      units :
      centimeters
      Array Chunk
      Bytes 248 B 248 B
      Shape (62,) (62,)
      Count 2 Tasks 1 Chunks
      Type float32 numpy.ndarray
      62 1
    • fwflux_factor
      ()
      float64
      ...
      long_name :
      Convert Net Fresh Water Flux to Salt Flux (in model units)
      array(0.0001)
    • grav
      ()
      float64
      ...
      long_name :
      Acceleration Due to Gravity
      units :
      centimeter/s^2
      array(980.616)
    • heat_to_PW
      ()
      float64
      ...
      long_name :
      Convert Heat Flux to Petawatts
      array(4.186e-15)
    • hflux_factor
      ()
      float64
      ...
      long_name :
      Convert Heat and Solar Flux to Temperature Flux
      array(2.439086e-05)
    • latent_heat_fusion
      ()
      float64
      ...
      long_name :
      Latent Heat of Fusion
      units :
      erg/g
      array(3.337e+09)
    • latent_heat_vapor
      ()
      float64
      ...
      long_name :
      Latent Heat of Vaporization
      units :
      J/kg
      array(2501000.)
    • mass_to_Sv
      ()
      float64
      ...
      long_name :
      Convert Mass Flux to Sverdrups
      array(1.e-12)
    • momentum_factor
      ()
      float64
      ...
      long_name :
      Convert Windstress to Velocity Flux
      array(10.)
    • nsurface_t
      ()
      float64
      ...
      long_name :
      Number of Ocean T Points at Surface
      array(5413142.)
    • nsurface_u
      ()
      float64
      ...
      long_name :
      Number of Ocean U Points at Surface
      array(5371534.)
    • ocn_ref_salinity
      ()
      float64
      ...
      long_name :
      Ocean Reference Salinity
      units :
      g/kg
      array(34.7)
    • omega
      ()
      float64
      ...
      long_name :
      Earths Angular Velocity
      units :
      1/second
      array(7.292124e-05)
    • ppt_to_salt
      ()
      float64
      ...
      long_name :
      Convert Salt in g/kg to gram/gram
      array(0.001)
    • radius
      ()
      float64
      ...
      long_name :
      Earths Radius
      units :
      centimeters
      array(6.37122e+08)
    • rho_air
      ()
      float64
      ...
      long_name :
      Ambient Air Density
      units :
      kg/m^3
      array(1.292318)
    • rho_fw
      ()
      float64
      ...
      long_name :
      Density of Fresh Water
      units :
      gram/centimeter^3
      array(1.)
    • rho_sw
      ()
      float64
      ...
      long_name :
      Density of Sea Water
      units :
      gram/centimeter^3
      array(1.026)
    • salinity_factor
      ()
      float64
      ...
      array(-0.00347)
    • salt_to_Svppt
      ()
      float64
      ...
      long_name :
      Convert Salt Flux to Sverdrups*g/kg
      array(1.e-09)
    • salt_to_mmday
      ()
      float64
      ...
      long_name :
      Convert Salt to Water (millimeters/day)
      array(315360.)
    • salt_to_ppt
      ()
      float64
      ...
      long_name :
      Convert Salt in gram/gram to g/kg
      array(1000.)
    • sea_ice_salinity
      ()
      float64
      ...
      long_name :
      Salinity of Sea Ice
      units :
      g/kg
      array(4.)
    • sflux_factor
      ()
      float64
      ...
      long_name :
      Convert Salt Flux to Salt Flux (in model units)
      array(0.1)
    • sound
      ()
      float64
      ...
      long_name :
      Speed of Sound
      units :
      centimeter/s
      array(150000.)
    • stefan_boltzmann
      ()
      float64
      ...
      long_name :
      Stefan-Boltzmann Constant
      units :
      watt/m^2/degK^4
      array(5.67e-08)
    • time
      (time)
      object
      2006-01-02 00:00:00 ... 2051-01-01 00:00:00
      bounds :
      time_bound
      long_name :
      time
      array([cftime.DatetimeNoLeap(2006, 1, 2, 0, 0, 0, 0),
             cftime.DatetimeNoLeap(2006, 1, 3, 0, 0, 0, 0),
             cftime.DatetimeNoLeap(2006, 1, 4, 0, 0, 0, 0), ...,
             cftime.DatetimeNoLeap(2050, 12, 30, 0, 0, 0, 0),
             cftime.DatetimeNoLeap(2050, 12, 31, 0, 0, 0, 0),
             cftime.DatetimeNoLeap(2051, 1, 1, 0, 0, 0, 0)], dtype=object)
    • vonkar
      ()
      float64
      ...
      long_name :
      von Karman Constant
      array(0.4)
    • z_t
      (z_t)
      float32
      500.0 1500.0 ... 587499.06
      long_name :
      depth from surface to midpoint of layer
      positive :
      down
      units :
      centimeters
      valid_max :
      587499.0625
      valid_min :
      500.0
      array([5.000000e+02, 1.500000e+03, 2.500000e+03, 3.500000e+03, 4.500000e+03,
             5.500000e+03, 6.500000e+03, 7.500000e+03, 8.500000e+03, 9.500000e+03,
             1.050000e+04, 1.150000e+04, 1.250000e+04, 1.350000e+04, 1.450000e+04,
             1.550000e+04, 1.650984e+04, 1.754790e+04, 1.862913e+04, 1.976603e+04,
             2.097114e+04, 2.225783e+04, 2.364088e+04, 2.513702e+04, 2.676542e+04,
             2.854837e+04, 3.051192e+04, 3.268680e+04, 3.510935e+04, 3.782276e+04,
             4.087846e+04, 4.433777e+04, 4.827367e+04, 5.277280e+04, 5.793729e+04,
             6.388626e+04, 7.075633e+04, 7.870025e+04, 8.788252e+04, 9.847059e+04,
             1.106204e+05, 1.244567e+05, 1.400497e+05, 1.573946e+05, 1.764003e+05,
             1.968944e+05, 2.186457e+05, 2.413972e+05, 2.649001e+05, 2.889385e+05,
             3.133405e+05, 3.379793e+05, 3.627670e+05, 3.876452e+05, 4.125768e+05,
             4.375392e+05, 4.625190e+05, 4.875083e+05, 5.125028e+05, 5.375000e+05,
             5.624991e+05, 5.874991e+05], dtype=float32)
    • z_t_150m
      (z_t_150m)
      float32
      500.0 1500.0 ... 13500.0 14500.0
      long_name :
      depth from surface to midpoint of layer
      positive :
      down
      units :
      centimeters
      valid_max :
      14500.0
      valid_min :
      500.0
      array([  500.,  1500.,  2500.,  3500.,  4500.,  5500.,  6500.,  7500.,  8500.,
              9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)
    • z_w
      (z_w)
      float32
      0.0 1000.0 ... 549999.06 574999.06
      long_name :
      depth from surface to top of layer
      positive :
      down
      units :
      centimeters
      valid_max :
      574999.0625
      valid_min :
      0.0
      array([     0.   ,   1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,
               6000.   ,   7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,
              12000.   ,  13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,
              18076.129,  19182.125,  20349.932,  21592.344,  22923.312,  24358.453,
              25915.58 ,  27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,
              39258.047,  42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,
              67072.86 ,  74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016,
             131809.36 , 148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  ,
             252990.4  , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  ,
             400101.16 , 425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 ,
             549999.06 , 574999.06 ], dtype=float32)
    • z_w_bot
      (z_w_bot)
      float32
      1000.0 2000.0 ... 599999.06
      long_name :
      depth from surface to bottom of layer
      positive :
      down
      units :
      centimeters
      valid_max :
      599999.0625
      valid_min :
      1000.0
      array([  1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,   6000.   ,
               7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,  12000.   ,
              13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,  18076.129,
              19182.125,  20349.932,  21592.344,  22923.312,  24358.453,  25915.58 ,
              27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,  39258.047,
              42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,  67072.86 ,
              74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016, 131809.36 ,
             148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  , 252990.4  ,
             276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  , 400101.16 ,
             425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 , 549999.06 ,
             574999.06 , 599999.06 ], dtype=float32)
    • z_w_top
      (z_w_top)
      float32
      0.0 1000.0 ... 549999.06 574999.06
      long_name :
      depth from surface to top of layer
      positive :
      down
      units :
      centimeters
      valid_max :
      574999.0625
      valid_min :
      0.0
      array([     0.   ,   1000.   ,   2000.   ,   3000.   ,   4000.   ,   5000.   ,
               6000.   ,   7000.   ,   8000.   ,   9000.   ,  10000.   ,  11000.   ,
              12000.   ,  13000.   ,  14000.   ,  15000.   ,  16000.   ,  17019.682,
              18076.129,  19182.125,  20349.932,  21592.344,  22923.312,  24358.453,
              25915.58 ,  27615.26 ,  29481.47 ,  31542.373,  33831.227,  36387.473,
              39258.047,  42498.887,  46176.656,  50370.688,  55174.91 ,  60699.668,
              67072.86 ,  74439.805,  82960.695,  92804.35 , 104136.82 , 117104.016,
             131809.36 , 148290.08 , 166499.2  , 186301.44 , 207487.39 , 229803.9  ,
             252990.4  , 276809.84 , 301067.06 , 325613.84 , 350344.88 , 375189.2  ,
             400101.16 , 425052.47 , 450026.06 , 475012.   , 500004.7  , 525000.94 ,
             549999.06 , 574999.06 ], dtype=float32)
    • SSH_2
      (time, nlat, nlon)
      float32
      dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>
      cell_methods :
      time: mean
      grid_loc :
      2110
      long_name :
      Sea Surface Height
      units :
      centimeter
      Array Chunk
      Bytes 566.82 GB 34.56 MB
      Shape (16401, 2400, 3600) (1, 2400, 3600)
      Count 16402 Tasks 16401 Chunks
      Type float32 numpy.ndarray