ea_oper_an+fc_daily_MJJAS

Load in Python

from intake import open_catalog

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

Metadata

title	ea_oper_an+fc_daily_MJJAS
location	/reanalysis/land/ERA5/daily/conus
tags	global,reanalysis,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ea_oper_an+fc_daily_MJJAS.yaml
last updated	2021-02-10

Dataset Contents

<xarray.Dataset>
Dimensions:  (lat: 95, lon: 212, time: 6426)
Coordinates:
  * lat      (lat) float32 24.30913 24.59016 24.87119 ... 50.44494 50.72598
  * lon      (lon) float32 -125.15625 -124.875 -124.59375 ... -66.09375 -65.8125
  * time     (time) float64 0.0 24.0 48.0 72.0 ... 3.6e+03 3.624e+03 3.648e+03
Data variables:
    d2m      (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    mtpr     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    sdlw     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    sdsw     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    slhf     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    snlw     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    snsw     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    sshf     (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    swvl1    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    swvl2    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    swvl3    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    swvl4    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    t2m      (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    t2max    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
    t2min    (time, lat, lon) float32 dask.array<chunksize=(153, 95, 212), meta=np.ndarray>
Attributes:
    CDI:          Climate Data Interface version 1.8.2 (http://mpimet.mpg.de/...
    Conventions:  CF-1.6
    history:      Tue Feb  9 18:18:34 2021: /usr/local/apps/nco/4.6.7/bin/nck...
    CDO:          Climate Data Operators version 1.8.2 (http://mpimet.mpg.de/...
    NCO:          4.6.7

xarray.Dataset

Dimensions:
- lat: 95
- lon: 212
- time: 6426

Coordinates: (3)

lat

(lat)

float32

24.30913 24.59016 ... 50.72598

standard_name :: latitude
long_name :: latitude
units :: degrees_north
axis :: Y

array([24.30913, 24.59016, 24.87119, 25.15222, 25.43325, 25.71428, 25.99531,
       26.27634, 26.55737, 26.8384 , 27.11943, 27.40046, 27.68149, 27.96252,
       28.24355, 28.52458, 28.80561, 29.08664, 29.36767, 29.6487 , 29.92973,
       30.21076, 30.49179, 30.77282, 31.05385, 31.33488, 31.61591, 31.89694,
       32.17797, 32.459  , 32.74004, 33.02106, 33.3021 , 33.58313, 33.86416,
       34.14519, 34.42622, 34.70725, 34.98828, 35.26931, 35.55034, 35.83137,
       36.1124 , 36.39343, 36.67446, 36.95549, 37.23652, 37.51755, 37.79858,
       38.07961, 38.36064, 38.64167, 38.9227 , 39.20373, 39.48476, 39.76579,
       40.04683, 40.32785, 40.60888, 40.88992, 41.17094, 41.45198, 41.73301,
       42.01403, 42.29507, 42.5761 , 42.85713, 43.13816, 43.41919, 43.70022,
       43.98125, 44.26228, 44.54331, 44.82434, 45.10537, 45.3864 , 45.66743,
       45.94846, 46.22949, 46.51052, 46.79155, 47.07258, 47.35361, 47.63464,
       47.91567, 48.1967 , 48.47773, 48.75876, 49.03979, 49.32082, 49.60185,
       49.88288, 50.16391, 50.44494, 50.72598], dtype=float32)

lon
(lon)
float32
-125.15625 -124.875 ... -65.8125
standard_name :
longitude
long_name :
longitude
units :
degrees_east
axis :
X
```
array([-125.15625, -124.875  , -124.59375, ...,  -66.375  ,  -66.09375,
        -65.8125 ], dtype=float32)
```
time
(time)
float64
0.0 24.0 ... 3.624e+03 3.648e+03
standard_name :
time
calendar :
standard
axis :
T
```
array([   0.,   24.,   48., ..., 3600., 3624., 3648.])
```

Data variables: (15)

d2m

(time, lat, lon)

float32