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_EMC-GEFS_*interannual.daily.e7.yaml")
ds=cat.netcdf.read()
Metadata
title | SubX RMM |
location | /shared/subx/hindcast/rmm/daily/anoms/EMC-GEFS |
tags | hindcast,model,daily |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rmm_EMC-GEFS_*interannual.daily.e7.yaml |
last updated | 2020-11-11 |
Dataset Contents
<xarray.Dataset> Dimensions: (lat: 1, lon: 1, time: 12985) 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 ... 30.5 31.5 32.5 33.5 34.5 Data variables: rmm1 (time, lat, lon) float32 dask.array<chunksize=(35, 1, 1), meta=np.ndarray> rmm2 (time, lat, lon) float32 dask.array<chunksize=(35, 1, 1), meta=np.ndarray> phase (time, lat, lon) float32 dask.array<chunksize=(35, 1, 1), meta=np.ndarray> amp (time, lat, lon) float32 dask.array<chunksize=(35, 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: 2018/05/22 09:33:06 CreatedBy: kpegion MatlabSource:
xarray.Dataset
- lat: 1
- lon: 1
- time: 12985
- lat(lat)float3290.0
- 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 ... 32.5 33.5 34.5
- standard_name :
- time
- long_name :
- Time of measurements
- units :
- days since 1960-01-01
array([ 0.5, 1.5, 2.5, ..., 32.5, 33.5, 34.5])
- rmm1(time, lat, lon)float32dask.array<chunksize=(35, 1, 1), meta=np.ndarray>
- name :
- rmm1
- long_name :
- rmm1
- units :
- unitless
Array Chunk Bytes 51.94 kB 140 B Shape (12985, 1, 1) (35, 1, 1) Count 1113 Tasks 371 Chunks Type float32 numpy.ndarray - rmm2(time, lat, lon)float32dask.array<chunksize=(35, 1, 1), meta=np.ndarray>
- name :
- rmm2
- long_name :
- rmm2
- units :
- unitless
Array Chunk Bytes 51.94 kB 140 B Shape (12985, 1, 1) (35, 1, 1) Count 1113 Tasks 371 Chunks Type float32 numpy.ndarray - phase(time, lat, lon)float32dask.array<chunksize=(35, 1, 1), meta=np.ndarray>
- name :
- phase
- long_name :
- phase
- units :
- unitless
Array Chunk Bytes 51.94 kB 140 B Shape (12985, 1, 1) (35, 1, 1) Count 1113 Tasks 371 Chunks Type float32 numpy.ndarray - amp(time, lat, lon)float32dask.array<chunksize=(35, 1, 1), meta=np.ndarray>
- name :
- amp
- long_name :
- amp
- units :
- unitless
Array Chunk Bytes 51.94 kB 140 B Shape (12985, 1, 1) (35, 1, 1) Count 1113 Tasks 371 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 :
- 2018/05/22 09:33:06
- CreatedBy :
- kpegion
- MatlabSource :