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.yaml")
ds=cat.netcdf.read()Metadata
| title | RMM |
| location | /shared/subx/verif/rmm/daily/orig |
| tags | verif,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rmm.yaml |
| last updated | 2017-12-07 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 1, lon: 1, time: 6575)
Coordinates:
* lat (lat) float32 90.0
* lon (lon) float32 0.0
* time (time) float64 1.0 2.0 3.0 4.0 5.0 ... 363.0 364.0 365.0 366.0
Data variables:
rmm1 (time, lat, lon) float32 dask.array<chunksize=(365, 1, 1), meta=np.ndarray>
rmm2 (time, lat, lon) float32 dask.array<chunksize=(365, 1, 1), meta=np.ndarray>
Attributes:
title: RMM
long_title: SubX RMM Full fields (not anomalies) calculted from WH04; ...
comments:
institution: NOAA/ESRL/PSD
source: NOAA INTERP OLR & NCEPR2 U850,U200
CreationDate: 2017/12/07 16:08:06
CreatedBy: kpegion
MatlabSource: calcRMMFullObsxarray.Dataset
- lat: 1
- lon: 1
- time: 6575
- 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)float641.0 2.0 3.0 ... 364.0 365.0 366.0
- standard_name :
- time
- long_name :
- Time of measurements
- units :
- days since 1960-01-01
array([ 1., 2., 3., ..., 364., 365., 366.])
- rmm1(time, lat, lon)float32dask.array<chunksize=(365, 1, 1), meta=np.ndarray>
- name :
- rmm1
- long_name :
- rmm1
- units :
- unitless
Array Chunk Bytes 26.30 kB 1.46 kB Shape (6575, 1, 1) (366, 1, 1) Count 54 Tasks 18 Chunks Type float32 numpy.ndarray - rmm2(time, lat, lon)float32dask.array<chunksize=(365, 1, 1), meta=np.ndarray>
- name :
- rmm2
- long_name :
- rmm2
- units :
- unitless
Array Chunk Bytes 26.30 kB 1.46 kB Shape (6575, 1, 1) (366, 1, 1) Count 54 Tasks 18 Chunks Type float32 numpy.ndarray
- title :
- RMM
- long_title :
- SubX RMM Full fields (not anomalies) calculted from WH04; interannual not removed
- comments :
- institution :
- NOAA/ESRL/PSD
- source :
- NOAA INTERP OLR & NCEPR2 U850,U200
- CreationDate :
- 2017/12/07 16:08:06
- CreatedBy :
- kpegion
- MatlabSource :
- calcRMMFullObs