z_ea_global_an_daily

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/z_ea_global_an_daily.yaml")
ds=cat.netcdf.read()

Metadata

title	z_ea_global_an_daily
location	/reanalysis/land/ERA5/daily/global_3d/z
tags	global,reanalysis,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/z_ea_global_an_daily.yaml
last updated	2021-02-27

Dataset Contents

<xarray.Dataset>
Dimensions:  (plev: 5, rgrid: 542080, time: 15341)
Coordinates:
  * time     (time) float64 1.979e+07 1.979e+07 1.979e+07 ... 2.02e+07 2.02e+07
  * plev     (plev) float64 3e+04 5e+04 7e+04 8.5e+04 1e+05
Dimensions without coordinates: rgrid
Data variables:
    z        (time, plev, rgrid) float32 dask.array<chunksize=(31, 5, 542080), meta=np.ndarray>

xarray.Dataset

Dimensions:
- plev: 5
- rgrid: 542080
- time: 15341
Coordinates: (2)
- time
  (time)
  float64
  1.979e+07 1.979e+07 ... 2.02e+07
  standard_name :
  time
  units :
  day as %Y%m%d.%f
  calendar :
  proleptic_gregorian
  axis :
  T
```
array([19790101.479167, 19790102.479167, 19790103.479167, ..., 20201229.479167,
       20201230.479167, 20201231.479167])
```
- plev
  (plev)
  float64
  3e+04 5e+04 7e+04 8.5e+04 1e+05
  standard_name :
  air_pressure
  long_name :
  pressure
  units :
  Pa
  positive :
  down
  axis :
  Z
```
array([ 30000.,  50000.,  70000.,  85000., 100000.])
```

Data variables: (1)

(time, plev, rgrid)

float32

dask.array<chunksize=(31, 5, 542080), meta=np.ndarray>

table :: 128
CDI_grid_type :: gaussian_reduced
CDI_grid_num_LPE :: 320
CDI_grid_latitudes :: lat
CDI_grid_reduced_points :: reduced_points
institution :: ECMWF
standard_name :: Geopotential
long_name :: Geopotential
units :: m^2/s^2

	Array	Chunk
Bytes	166.32 GB	336.09 MB
Shape	(15341, 5, 542080)	(31, 5, 542080)
Count	1512 Tasks	504 Chunks
Type	float32	numpy.ndarray

Attributes: (0)