LEAP Data Catalog

latitude

(latitude)

float32

89.5 88.5 87.5 ... -88.5 -89.5

long_name :: Latitude
standard_name :: latitude
units :: degrees_north

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
long_name :
Longitude
standard_name :
longitude
units :
degrees_east
```
array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5], dtype=float32)
```

time

(time)

datetime64[ns]

1870-01-16T11:59:59.505615234 .....

long_name :: Time
standard_name :: time

array(['1870-01-16T11:59:59.505615234', '1870-02-14T23:59:59.340820312',
       '1870-03-16T11:59:59.340820312', ..., '2022-03-16T12:00:00.000000000',
       '2022-04-16T12:00:00.000000000', '2022-05-16T12:00:00.000000000'],
      dtype='datetime64[ns]')

sst

(time, latitude, longitude)

float32

dask.array<chunksize=(1829, 180, 360), meta=np.ndarray>

cell_methods :: time: lat: lon: mean
long_name :: sst
standard_name :: sea_surface_temperature
units :: C

	Array	Chunk
Bytes	452.11 MiB	452.11 MiB
Shape	(1829, 180, 360)	(1829, 180, 360)
Dask graph	1 chunks in 2 graph layers
Data type	float32 numpy.ndarray

time_bnds

(time, nv)

float32

dask.array<chunksize=(1829, 2), meta=np.ndarray>

	Array	Chunk
Bytes	14.29 kiB	14.29 kiB
Shape	(1829, 2)	(1829, 2)
Dask graph	1 chunks in 2 graph layers
Data type	float32 numpy.ndarray

latitude

PandasIndex

PandasIndex(Index([ 89.5,  88.5,  87.5,  86.5,  85.5,  84.5,  83.5,  82.5,  81.5,  80.5,
       ...
       -80.5, -81.5, -82.5, -83.5, -84.5, -85.5, -86.5, -87.5, -88.5, -89.5],
      dtype='float32', name='latitude', length=180))

longitude

PandasIndex

PandasIndex(Index([-179.5, -178.5, -177.5, -176.5, -175.5, -174.5, -173.5, -172.5, -171.5,
       -170.5,
       ...
        170.5,  171.5,  172.5,  173.5,  174.5,  175.5,  176.5,  177.5,  178.5,
        179.5],
      dtype='float32', name='longitude', length=360))

time

PandasIndex

PandasIndex(DatetimeIndex(['1870-01-16 11:59:59.505615234',
               '1870-02-14 23:59:59.340820312',
               '1870-03-16 11:59:59.340820312',
               '1870-04-15 23:59:59.340820312',
                         '1870-05-16 12:00:00',
                         '1870-06-16 00:00:00',
                         '1870-07-16 12:00:00',
                         '1870-08-16 12:00:00',
                         '1870-09-16 00:00:00',
                         '1870-10-16 12:00:00',
               ...
                         '2021-08-16 12:00:00',
                         '2021-09-16 12:00:00',
                         '2021-10-16 12:00:00',
                         '2021-11-16 12:00:00',
                         '2021-12-16 12:00:00',
                         '2022-01-16 12:00:00',
                         '2022-02-16 12:00:00',
                         '2022-03-16 12:00:00',
                         '2022-04-16 12:00:00',
                         '2022-05-16 12:00:00'],
              dtype='datetime64[ns]', name='time', length=1829, freq=None))

Conventions :: CF-1.0
Title :: Monthly version of HadISST sea surface temperature component
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)
description :: HadISST 1.1 monthly average sea surface temperature
history :: 22/7/2022 converted to netcdf from pp format
institution :: Met Office Hadley Centre
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
source :: HadISST
supplementary_information :: Updates and supplementary information will be available from http://www.metoffice.gov.uk/hadobs/hadisst

latitude

(latitude)

float32

89.5 88.5 87.5 ... -88.5 -89.5

long_name :: Latitude
standard_name :: latitude
units :: degrees_north

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
long_name :
Longitude
standard_name :
longitude
units :
degrees_east
```
array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5], dtype=float32)
```

time

(time)

datetime64[ns]

1870-01-16T11:59:59.505615234 .....

long_name :: Time
standard_name :: time

array(['1870-01-16T11:59:59.505615234', '1870-02-14T23:59:59.340820312',
       '1870-03-16T11:59:59.340820312', ..., '2022-03-16T12:00:00.000000000',
       '2022-04-16T12:00:00.000000000', '2022-05-16T12:00:00.000000000'],
      dtype='datetime64[ns]')

sst

(time, latitude, longitude)

float32

dask.array<chunksize=(1829, 180, 360), meta=np.ndarray>

cell_methods :: time: lat: lon: mean
long_name :: sst
standard_name :: sea_surface_temperature
units :: C

	Array	Chunk
Bytes	452.11 MiB	452.11 MiB
Shape	(1829, 180, 360)	(1829, 180, 360)
Dask graph	1 chunks in 2 graph layers
Data type	float32 numpy.ndarray

time_bnds

(time, nv)

float32

dask.array<chunksize=(1829, 2), meta=np.ndarray>

	Array	Chunk
Bytes	14.29 kiB	14.29 kiB
Shape	(1829, 2)	(1829, 2)
Dask graph	1 chunks in 2 graph layers
Data type	float32 numpy.ndarray

latitude

PandasIndex

PandasIndex(Index([ 89.5,  88.5,  87.5,  86.5,  85.5,  84.5,  83.5,  82.5,  81.5,  80.5,
       ...
       -80.5, -81.5, -82.5, -83.5, -84.5, -85.5, -86.5, -87.5, -88.5, -89.5],
      dtype='float32', name='latitude', length=180))

longitude

PandasIndex

PandasIndex(Index([-179.5, -178.5, -177.5, -176.5, -175.5, -174.5, -173.5, -172.5, -171.5,
       -170.5,
       ...
        170.5,  171.5,  172.5,  173.5,  174.5,  175.5,  176.5,  177.5,  178.5,
        179.5],
      dtype='float32', name='longitude', length=360))

time

PandasIndex

PandasIndex(DatetimeIndex(['1870-01-16 11:59:59.505615234',
               '1870-02-14 23:59:59.340820312',
               '1870-03-16 11:59:59.340820312',
               '1870-04-15 23:59:59.340820312',
                         '1870-05-16 12:00:00',
                         '1870-06-16 00:00:00',
                         '1870-07-16 12:00:00',
                         '1870-08-16 12:00:00',
                         '1870-09-16 00:00:00',
                         '1870-10-16 12:00:00',
               ...
                         '2021-08-16 12:00:00',
                         '2021-09-16 12:00:00',
                         '2021-10-16 12:00:00',
                         '2021-11-16 12:00:00',
                         '2021-12-16 12:00:00',
                         '2022-01-16 12:00:00',
                         '2022-02-16 12:00:00',
                         '2022-03-16 12:00:00',
                         '2022-04-16 12:00:00',
                         '2022-05-16 12:00:00'],
              dtype='datetime64[ns]', name='time', length=1829, freq=None))

Conventions :: CF-1.0
Title :: Monthly version of HadISST sea surface temperature component
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)
description :: HadISST 1.1 monthly average sea surface temperature
history :: 22/7/2022 converted to netcdf from pp format
institution :: Met Office Hadley Centre
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
source :: HadISST
supplementary_information :: Updates and supplementary information will be available from http://www.metoffice.gov.uk/hadobs/hadisst