mean daily NMC reanalysis (1999)
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/vwnd.10m.gauss.yaml")
ds=cat.netcdf.read()
Metadata
title | mean daily NMC reanalysis (1999) |
location | /shared/subx/verif/vas/daily/orig |
tags | verif,model,daily |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/vwnd.10m.gauss.yaml |
last updated | 2018-06-25 |
Dataset Contents
<xarray.Dataset> Dimensions: (lat: 94, lon: 192, time: 6940) Coordinates: * lat (lat) float32 88.542 86.6531 84.7532 ... -84.7532 -86.6531 -88.542 * lon (lon) float32 0.0 1.875 3.75 5.625 ... 352.5 354.375 356.25 358.125 * time (time) float64 1.744e+06 1.744e+06 ... 1.911e+06 1.911e+06 Data variables: vwnd (time, lat, lon) float32 dask.array<chunksize=(365, 94, 192), meta=np.ndarray> Attributes: Conventions: COARDS title: mean daily NMC reanalysis (1999) description: Data is from NMC initialized reanalysis (4x/day). It co... platform: Model history: created 99/01/04 by Hoop (netCDF2.3) Converted to chunke... References: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reana... dataset_title: NCEP-NCAR Reanalysis 1
xarray.Dataset
- lat: 94
- lon: 192
- time: 6940
- lat(lat)float3288.542 86.6531 ... -86.6531 -88.542
- units :
- degrees_north
- actual_range :
- [ 88.542 -88.542]
- long_name :
- Latitude
- standard_name :
- latitude
- axis :
- Y
array([ 88.542 , 86.6531 , 84.7532 , 82.8508 , 80.9473 , 79.0435 , 77.1394 , 75.2351 , 73.3307 , 71.4262 , 69.5217 , 67.6171 , 65.7125 , 63.8079 , 61.9033 , 59.9986 , 58.0939 , 56.1893 , 54.2846 , 52.3799 , 50.4752 , 48.5705 , 46.6658 , 44.7611 , 42.8564 , 40.9517 , 39.047 , 37.1422 , 35.2375 , 33.3328 , 31.4281 , 29.5234 , 27.6186 , 25.7139 , 23.8092 , 21.9044 , 19.9997 , 18.095 , 16.1902 , 14.2855 , 12.3808 , 10.47604 , 8.57131 , 6.66657 , 4.76184 , 2.8571 , 0.952368, -0.952368, -2.8571 , -4.76184 , -6.66657 , -8.57131 , -10.47604 , -12.3808 , -14.2855 , -16.1902 , -18.095 , -19.9997 , -21.9044 , -23.8092 , -25.7139 , -27.6186 , -29.5234 , -31.4281 , -33.3328 , -35.2375 , -37.1422 , -39.047 , -40.9517 , -42.8564 , -44.7611 , -46.6658 , -48.5705 , -50.4752 , -52.3799 , -54.2846 , -56.1893 , -58.0939 , -59.9986 , -61.9033 , -63.8079 , -65.7125 , -67.6171 , -69.5217 , -71.4262 , -73.3307 , -75.2351 , -77.1394 , -79.0435 , -80.9473 , -82.8508 , -84.7532 , -86.6531 , -88.542 ], dtype=float32)
- lon(lon)float320.0 1.875 3.75 ... 356.25 358.125
- units :
- degrees_east
- long_name :
- Longitude
- actual_range :
- [ 0. 358.125]
- standard_name :
- longitude
- axis :
- X
array([ 0. , 1.875, 3.75 , 5.625, 7.5 , 9.375, 11.25 , 13.125, 15. , 16.875, 18.75 , 20.625, 22.5 , 24.375, 26.25 , 28.125, 30. , 31.875, 33.75 , 35.625, 37.5 , 39.375, 41.25 , 43.125, 45. , 46.875, 48.75 , 50.625, 52.5 , 54.375, 56.25 , 58.125, 60. , 61.875, 63.75 , 65.625, 67.5 , 69.375, 71.25 , 73.125, 75. , 76.875, 78.75 , 80.625, 82.5 , 84.375, 86.25 , 88.125, 90. , 91.875, 93.75 , 95.625, 97.5 , 99.375, 101.25 , 103.125, 105. , 106.875, 108.75 , 110.625, 112.5 , 114.375, 116.25 , 118.125, 120. , 121.875, 123.75 , 125.625, 127.5 , 129.375, 131.25 , 133.125, 135. , 136.875, 138.75 , 140.625, 142.5 , 144.375, 146.25 , 148.125, 150. , 151.875, 153.75 , 155.625, 157.5 , 159.375, 161.25 , 163.125, 165. , 166.875, 168.75 , 170.625, 172.5 , 174.375, 176.25 , 178.125, 180. , 181.875, 183.75 , 185.625, 187.5 , 189.375, 191.25 , 193.125, 195. , 196.875, 198.75 , 200.625, 202.5 , 204.375, 206.25 , 208.125, 210. , 211.875, 213.75 , 215.625, 217.5 , 219.375, 221.25 , 223.125, 225. , 226.875, 228.75 , 230.625, 232.5 , 234.375, 236.25 , 238.125, 240. , 241.875, 243.75 , 245.625, 247.5 , 249.375, 251.25 , 253.125, 255. , 256.875, 258.75 , 260.625, 262.5 , 264.375, 266.25 , 268.125, 270. , 271.875, 273.75 , 275.625, 277.5 , 279.375, 281.25 , 283.125, 285. , 286.875, 288.75 , 290.625, 292.5 , 294.375, 296.25 , 298.125, 300. , 301.875, 303.75 , 305.625, 307.5 , 309.375, 311.25 , 313.125, 315. , 316.875, 318.75 , 320.625, 322.5 , 324.375, 326.25 , 328.125, 330. , 331.875, 333.75 , 335.625, 337.5 , 339.375, 341.25 , 343.125, 345. , 346.875, 348.75 , 350.625, 352.5 , 354.375, 356.25 , 358.125], dtype=float32)
- time(time)float641.744e+06 1.744e+06 ... 1.911e+06
- long_name :
- Time
- delta_t :
- 0000-00-01 00:00:00
- avg_period :
- 0000-00-01 00:00:00
- standard_name :
- time
- axis :
- T
- units :
- hours since 1800-01-01 00:00:0.0
array([1744392., 1744416., 1744440., ..., 1910880., 1910904., 1910928.])
- vwnd(time, lat, lon)float32dask.array<chunksize=(365, 94, 192), meta=np.ndarray>
- long_name :
- mean Daily v-wind at 10 m
- units :
- m/s
- precision :
- 2
- GRIB_id :
- 34
- GRIB_name :
- V GRD
- var_desc :
- v-wind
- dataset :
- NCEP Reanalysis Daily Averages
- level_desc :
- 10 m
- statistic :
- Mean
- parent_stat :
- Individual Obs
- actual_range :
- [-23.039993 24.970001]
- valid_range :
- [-102.2 102.2]
Array Chunk Bytes 501.01 MB 26.42 MB Shape (6940, 94, 192) (366, 94, 192) Count 57 Tasks 19 Chunks Type float32 numpy.ndarray
- Conventions :
- COARDS
- title :
- mean daily NMC reanalysis (1999)
- description :
- Data is from NMC initialized reanalysis (4x/day). It consists of T62 variables interpolated to pressure surfaces from model (sigma) surfaces.
- platform :
- Model
- history :
- created 99/01/04 by Hoop (netCDF2.3) Converted to chunked, deflated non-packed NetCDF4 2014/09
- References :
- http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html
- dataset_title :
- NCEP-NCAR Reanalysis 1