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_ESRL-FIMr1p1_interannual.daily.yaml")
ds=cat.netcdf.read()Metadata
| title | SubX RMM |
| location | /shared/subx/hindcast/rmm/daily/anoms/ESRL-FIMr1p1 |
| tags | hindcast,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rmm_ESRL-FIMr1p1_interannual.daily.yaml |
| last updated | 2020-11-11 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 1, lon: 1, time: 146240)
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 ... 27.5 28.5 29.5 30.5 31.5
Data variables:
rmm1 (time, lat, lon) float32 dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
rmm2 (time, lat, lon) float32 dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
phase (time, lat, lon) float32 dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
amp (time, lat, lon) float32 dask.array<chunksize=(32, 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: 2018/04/18 03:39:25
CreatedBy: kpegion
MatlabSource: xarray.Dataset
- lat: 1
- lon: 1
- time: 146240
- 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 ... 29.5 30.5 31.5
- standard_name :
- time
- long_name :
- Time of measurements
- units :
- days since 1960-01-01
array([ 0.5, 1.5, 2.5, ..., 29.5, 30.5, 31.5])
- rmm1(time, lat, lon)float32dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
- name :
- rmm1
- long_name :
- rmm1
- units :
- unitless
Array Chunk Bytes 584.96 kB 128 B Shape (146240, 1, 1) (32, 1, 1) Count 13710 Tasks 4570 Chunks Type float32 numpy.ndarray - rmm2(time, lat, lon)float32dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
- name :
- rmm2
- long_name :
- rmm2
- units :
- unitless
Array Chunk Bytes 584.96 kB 128 B Shape (146240, 1, 1) (32, 1, 1) Count 13710 Tasks 4570 Chunks Type float32 numpy.ndarray - phase(time, lat, lon)float32dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
- name :
- phase
- long_name :
- phase
- units :
- unitless
Array Chunk Bytes 584.96 kB 128 B Shape (146240, 1, 1) (32, 1, 1) Count 13710 Tasks 4570 Chunks Type float32 numpy.ndarray - amp(time, lat, lon)float32dask.array<chunksize=(32, 1, 1), meta=np.ndarray>
- name :
- amp
- long_name :
- amp
- units :
- unitless
Array Chunk Bytes 584.96 kB 128 B Shape (146240, 1, 1) (32, 1, 1) Count 13710 Tasks 4570 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 :
- 2018/04/18 03:39:25
- CreatedBy :
- kpegion
- MatlabSource :