WVP
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- Column integrated water vapor
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/m2
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
average_DT
(time)
timedelta64[ns]
dask.array<chunksize=(120,), meta=np.ndarray>
- long_name :
- Length of average period
|
Array |
Chunk |
Bytes |
231.14 kiB |
0.94 kiB |
Shape |
(29586,) |
(120,) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
timedelta64[ns] numpy.ndarray |
|
|
average_T1
(time)
object
dask.array<chunksize=(120,), meta=np.ndarray>
- long_name :
- Start time for average period
|
Array |
Chunk |
Bytes |
231.14 kiB |
0.94 kiB |
Shape |
(29586,) |
(120,) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
object numpy.ndarray |
|
|
average_T2
(time)
object
dask.array<chunksize=(120,), meta=np.ndarray>
- long_name :
- End time for average period
|
Array |
Chunk |
Bytes |
231.14 kiB |
0.94 kiB |
Shape |
(29586,) |
(120,) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
object numpy.ndarray |
|
|
evap
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- evaporation rate
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/m2/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
grid_xt_bnds
(grid_xt, bnds)
float64
dask.array<chunksize=(576, 2), meta=np.ndarray>
- cartesian_axis :
- X
- long_name :
- T-cell longitude
- units :
- degrees_E
|
Array |
Chunk |
Bytes |
9.00 kiB |
9.00 kiB |
Shape |
(576, 2) |
(576, 2) |
Dask graph |
1 chunks in 2 graph layers |
Data type |
float64 numpy.ndarray |
|
|
grid_yt_bnds
(grid_yt, bnds)
float64
dask.array<chunksize=(360, 2), meta=np.ndarray>
- cartesian_axis :
- Y
- long_name :
- T-cell latitude
- units :
- degrees_N
|
Array |
Chunk |
Bytes |
5.62 kiB |
5.62 kiB |
Shape |
(360, 2) |
(360, 2) |
Dask graph |
1 chunks in 2 graph layers |
Data type |
float64 numpy.ndarray |
|
|
h250
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 250-mb hght
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
h500
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 500-mb hght
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
h700
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 700-mb hght
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
h850
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 850-mb hght
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
lwdn_sfc
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- LW flux down at surface
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- watts/m2
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
lwup_sfc
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- LW flux up at surface
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- watts/m2
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
olr
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- outgoing longwave radiation
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- watts/m2
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
prec_ls
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- Precipitation rate from strat cloud
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/m2/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
precip
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order1
- long_name :
- Total precipitation rate
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/m2/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
ps
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- surface pressure
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- Pa
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
q250
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 250-mb specific humidity
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/kg
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
q500
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 500-mb specific humidity
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/kg
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
q700
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 700-mb specific humidity
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/kg
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
q850
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 850-mb specific humidity
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/kg
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
q_ref
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- specific humidity at 2 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/kg
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
rh_ref
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- relative humidity at 2 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- percent
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
slp
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- sea-level pressure
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- mb
- valid_range :
- [800.0, 1200.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
snow_ls
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- Frozen precip rate from strat cloud
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg/m2/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
snow_tot
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order1
- long_name :
- Frozen precip rate from all sources
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- kg(h2o)/m2/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
swdn_sfc
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- SW flux down at surface
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- watts/m2
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t250
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 250-mb temperature
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- K
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t500
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 500-mb temperature
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- K
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t700
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 700-mb temperature
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- K
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t850
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 850-mb temperature
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- K
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t_ref
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- temperature at 2 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- deg_k
- valid_range :
- [100.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t_ref_max
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: max
- interp_method :
- conserve_order2
- long_name :
- temperature at 2 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- deg_k
- valid_range :
- [100.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
t_ref_min
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: min
- interp_method :
- conserve_order2
- long_name :
- temperature at 2 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- deg_k
- valid_range :
- [100.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
time_bounds
(time, bnds)
timedelta64[ns]
dask.array<chunksize=(120, 2), meta=np.ndarray>
- calendar :
- JULIAN
- long_name :
- time axis boundaries
|
Array |
Chunk |
Bytes |
462.28 kiB |
1.88 kiB |
Shape |
(29586, 2) |
(120, 2) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
timedelta64[ns] numpy.ndarray |
|
|
u250
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 250-mb u-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
u500
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 500-mb u-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
u700
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 700-mb u-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
u850
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 850-mb u-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
u_ref
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- zonal wind component at 10 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m/s
- valid_range :
- [-400.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
v250
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 250-mb v-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
v500
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 500-mb v-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
v700
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 700-mb v-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
v850
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- 850-mb v-wind
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- 1/s
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
v_ref
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- meridional wind component at 10 m
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m/s
- valid_range :
- [-400.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
wind
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order2
- long_name :
- wind speed for flux calculations
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m/s
- valid_range :
- [0.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|
wind_max
(time, grid_yt, grid_xt)
float32
dask.array<chunksize=(120, 360, 576), meta=np.ndarray>
- cell_methods :
- time: max
- interp_method :
- conserve_order2
- long_name :
- wind speed for flux calculations
- time_avg_info :
- average_T1,average_T2,average_DT
- units :
- m/s
- valid_range :
- [0.0, 400.0]
|
Array |
Chunk |
Bytes |
22.85 GiB |
94.92 MiB |
Shape |
(29586, 360, 576) |
(120, 360, 576) |
Dask graph |
247 chunks in 2 graph layers |
Data type |
float32 numpy.ndarray |
|
|