NCL: convert-GRIB-to-netCDF

Load in Python

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

Metadata

title NCL: convert-GRIB-to-netCDF
location /project/atlantic_var/OBS/Ishii/Ishii/DATA
tags PLACEHOLDER
catalog_dir https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sal.yaml
last updated 2017-04-21

Dataset Contents

<xarray.Dataset>
Dimensions:                (g0_lat_2: 180, g0_lon_3: 360, initial_time0_hours: 816, lv_DBSL1: 24, time: 68)
Coordinates:
  * initial_time0_hours    (initial_time0_hours) float64 1.271e+06 ... 1.867e+06
  * g0_lat_2               (g0_lat_2) float32 -89.5 -88.5 -87.5 ... 88.5 89.5
  * g0_lon_3               (g0_lon_3) float32 0.5 1.5 2.5 ... 357.5 358.5 359.5
  * lv_DBSL1               (lv_DBSL1) int32 0 10 20 30 ... 1200 1300 1400 1500
Dimensions without coordinates: time
Data variables:
    SALTY_GDS0_DBSL        (time, initial_time0_hours, lv_DBSL1, g0_lat_2, g0_lon_3) float32 dask.array<chunksize=(1, 816, 24, 180, 360), meta=np.ndarray>
    MSLMA_GDS0_DBSL        (time, initial_time0_hours, lv_DBSL1, g0_lat_2, g0_lon_3) float32 dask.array<chunksize=(1, 816, 24, 180, 360), meta=np.ndarray>
    initial_time0_encoded  (time, initial_time0_hours) float64 dask.array<chunksize=(1, 816), meta=np.ndarray>
    initial_time0          (time, initial_time0_hours) object dask.array<chunksize=(1, 816), meta=np.ndarray>
Attributes:
    creation_date:  Fri Apr 21 08:39:21 MDT 2017
    NCL_Version:    6.4.1-21Apr2017_0114
    system:         Linux geyser08 2.6.32-358.el6.x86_64 #1 SMP Wed Nov 2 11:...
    Conventions:    None
    grib_source:    sal.1945.grb.grb
    title:          NCL: convert-GRIB-to-netCDF