<xarray.Dataset> Size: 104GB
Dimensions: (S: 414, M: 40, L: 12, Y: 181, X: 360, nbound: 2)
Coordinates:
* S (S) datetime64[ns] 3kB 1990-01-01 1990-02-01 ... 2024-06-01
* M (M) int64 320B 1 2 3 4 5 6 7 8 9 ... 32 33 34 35 36 37 38 39 40
* L (L) int64 96B 0 1 2 3 4 5 6 7 8 9 10 11
target (S, L) datetime64[ns] 40kB 1990-01-01 1990-02-01 ... 2025-05-01
* Y (Y) float64 1kB -90.0 -89.0 -88.0 -87.0 ... 87.0 88.0 89.0 90.0
* X (X) float64 3kB 0.0 1.0 2.0 3.0 4.0 ... 356.0 357.0 358.0 359.0
target_bnds (S, L, nbound) datetime64[ns] 79kB 1990-01-01 ... 2025-06-01
Dimensions without coordinates: nbound
Data variables:
prcp (S, M, L, Y, X) float64 104GB dask.array<chunksize=(1, 40, 12, 181, 360), meta=np.ndarray>
Attributes:
Conventions: CF-1.13
institution: Canadian Meteorological Service - Montrealarray(['1990-01-01T00:00:00.000000000', '1990-02-01T00:00:00.000000000',
'1990-03-01T00:00:00.000000000', ..., '2024-04-01T00:00:00.000000000',
'2024-05-01T00:00:00.000000000', '2024-06-01T00:00:00.000000000'],
shape=(414,), dtype='datetime64[ns]')array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
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