SubX RMM
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rmm_GMAO-GEOS_V2p1_*interannual.daily.e1.yaml")
ds=cat.netcdf.read()Metadata
| title | SubX RMM |
| location | /shared/subx/hindcast/rmm/daily/anoms/GMAO-GEOS_V2p1 |
| tags | hindcast,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rmm_GMAO-GEOS_V2p1_*interannual.daily.e1.yaml |
| last updated | 2020-11-11 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 1, lon: 1, time: 116955)
Coordinates:
* lat (lat) float32 -90.0
* lon (lon) float32 0.0
* time (time) float64 0.5 1.5 2.5 3.5 4.5 5.5 ... 40.5 41.5 42.5 43.5 44.5
Data variables:
rmm1 (time, lat, lon) float32 dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
rmm2 (time, lat, lon) float32 dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
phase (time, lat, lon) float32 dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
amp (time, lat, lon) float32 dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
Attributes:
title: SubX RMM
long_title: SubX RMM
comments: SubX project http://cola.gmu.edu/~kpegion/subx/
institution: IRI
source: SubX IRI
CreationDate: 2018/06/06 18:38:37
CreatedBy: kpegion
MatlabSource: xarray.Dataset
- lat: 1
- lon: 1
- time: 116955
- lat(lat)float32-90.0
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
array([-90.], dtype=float32)
- lon(lon)float320.0
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
array([0.], dtype=float32)
- time(time)float640.5 1.5 2.5 3.5 ... 42.5 43.5 44.5
- standard_name :
- time
- long_name :
- Time of measurements
- units :
- days since 1960-01-01
array([ 0.5, 1.5, 2.5, ..., 42.5, 43.5, 44.5])
- rmm1(time, lat, lon)float32dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
- name :
- rmm1
- long_name :
- rmm1
- units :
- unitless
Array Chunk Bytes 467.82 kB 180 B Shape (116955, 1, 1) (45, 1, 1) Count 7797 Tasks 2599 Chunks Type float32 numpy.ndarray - rmm2(time, lat, lon)float32dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
- name :
- rmm2
- long_name :
- rmm2
- units :
- unitless
Array Chunk Bytes 467.82 kB 180 B Shape (116955, 1, 1) (45, 1, 1) Count 7797 Tasks 2599 Chunks Type float32 numpy.ndarray - phase(time, lat, lon)float32dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
- name :
- phase
- long_name :
- phase
- units :
- unitless
Array Chunk Bytes 467.82 kB 180 B Shape (116955, 1, 1) (45, 1, 1) Count 7797 Tasks 2599 Chunks Type float32 numpy.ndarray - amp(time, lat, lon)float32dask.array<chunksize=(45, 1, 1), meta=np.ndarray>
- name :
- amp
- long_name :
- amp
- units :
- unitless
Array Chunk Bytes 467.82 kB 180 B Shape (116955, 1, 1) (45, 1, 1) Count 7797 Tasks 2599 Chunks Type float32 numpy.ndarray
- title :
- SubX RMM
- long_title :
- SubX RMM
- comments :
- SubX project http://cola.gmu.edu/~kpegion/subx/
- institution :
- IRI
- source :
- SubX IRI
- CreationDate :
- 2018/06/06 18:38:37
- CreatedBy :
- kpegion
- MatlabSource :