hadisst
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hadisst.yaml")
ds=cat.netcdf.read()Metadata
| title | hadisst |
| location | /project/atlantic_var/ogozdz/HadISST/downloaded |
| tags | gridded,obs,ocn,sst,global,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hadisst.yaml |
| last updated | 2019-07-22 |
Dataset Contents
xarray.Dataset
- latitude: 180
- longitude: 360
- nv: 2
- time: 1796
- latitude(latitude)float3289.5 88.5 87.5 ... -88.5 -89.5
- units :
- degrees_north
- long_name :
- Latitude
- standard_name :
- latitude
array([ 89.5, 88.5, 87.5, 86.5, 85.5, 84.5, 83.5, 82.5, 81.5, 80.5, 79.5, 78.5, 77.5, 76.5, 75.5, 74.5, 73.5, 72.5, 71.5, 70.5, 69.5, 68.5, 67.5, 66.5, 65.5, 64.5, 63.5, 62.5, 61.5, 60.5, 59.5, 58.5, 57.5, 56.5, 55.5, 54.5, 53.5, 52.5, 51.5, 50.5, 49.5, 48.5, 47.5, 46.5, 45.5, 44.5, 43.5, 42.5, 41.5, 40.5, 39.5, 38.5, 37.5, 36.5, 35.5, 34.5, 33.5, 32.5, 31.5, 30.5, 29.5, 28.5, 27.5, 26.5, 25.5, 24.5, 23.5, 22.5, 21.5, 20.5, 19.5, 18.5, 17.5, 16.5, 15.5, 14.5, 13.5, 12.5, 11.5, 10.5, 9.5, 8.5, 7.5, 6.5, 5.5, 4.5, 3.5, 2.5, 1.5, 0.5, -0.5, -1.5, -2.5, -3.5, -4.5, -5.5, -6.5, -7.5, -8.5, -9.5, -10.5, -11.5, -12.5, -13.5, -14.5, -15.5, -16.5, -17.5, -18.5, -19.5, -20.5, -21.5, -22.5, -23.5, -24.5, -25.5, -26.5, -27.5, -28.5, -29.5, -30.5, -31.5, -32.5, -33.5, -34.5, -35.5, -36.5, -37.5, -38.5, -39.5, -40.5, -41.5, -42.5, -43.5, -44.5, -45.5, -46.5, -47.5, -48.5, -49.5, -50.5, -51.5, -52.5, -53.5, -54.5, -55.5, -56.5, -57.5, -58.5, -59.5, -60.5, -61.5, -62.5, -63.5, -64.5, -65.5, -66.5, -67.5, -68.5, -69.5, -70.5, -71.5, -72.5, -73.5, -74.5, -75.5, -76.5, -77.5, -78.5, -79.5, -80.5, -81.5, -82.5, -83.5, -84.5, -85.5, -86.5, -87.5, -88.5, -89.5], dtype=float32) - longitude(longitude)float32-179.5 -178.5 ... 178.5 179.5
- units :
- degrees_east
- long_name :
- Longitude
- standard_name :
- longitude
array([-179.5, -178.5, -177.5, ..., 177.5, 178.5, 179.5], dtype=float32)
- time(time)datetime64[ns]2019-01-16T12:00:00 ... 2019-04-16T12:00:00
- long_name :
- Time
- standard_name :
- time
array(['2019-01-16T12:00:00.000000000', '2019-02-16T12:00:00.000000000', '2019-03-16T12:00:00.000000000', ..., '2019-02-16T12:00:00.000000000', '2019-03-16T12:00:00.000000000', '2019-04-16T12:00:00.000000000'], dtype='datetime64[ns]')
- time_bnds(time, nv)float32dask.array<chunksize=(4, 2), meta=np.ndarray>
Array Chunk Bytes 14.37 kB 14.34 kB Shape (1796, 2) (1792, 2) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray - sst(time, latitude, longitude)float32dask.array<chunksize=(4, 180, 360), meta=np.ndarray>
- standard_name :
- sea_surface_temperature
- long_name :
- sst
- units :
- C
- cell_methods :
- time: lat: lon: mean
Array Chunk Bytes 465.52 MB 464.49 MB Shape (1796, 180, 360) (1792, 180, 360) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- Title :
- Monthly version of hadisst sea surface temperature component
- description :
- hadisst 1.1 monthly average sea surface temperature
- institution :
- Met Office Hadley Centre
- source :
- hadisst
- reference :
- Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., Kaplan, A. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century J. Geophys. Res.Vol. 108, No. D14, 4407 10.1029/2002JD002670
- Conventions :
- CF-1.0
- history :
- 12/6/2019 converted to netcdf from pp format
- supplementary_information :
- Updates and supplementary information will be available from http://www.metoffice.gov.uk/hadobs/hadisst
- comment :
- Data restrictions: for academic research use only. Data are Crown copyright see (http://www.opsi.gov.uk/advice/crown-copyright/copyright-guidance/index.htm)