<xarray.DataArray (time: 37, y: 120, x: 80)>
        dask.array<getitem, shape=(37, 120, 80), dtype=float32, chunksize=(4, 120, 80), chunktype=numpy.ndarray>
        Coordinates:
          * x        (x) float32 -1.761e+06 -1.748e+06 ... -7.834e+05 -7.708e+05
          * y        (y) float32 6.831e+05 6.956e+05 7.082e+05 ... 2.162e+06 2.175e+06
          * time     (time) object 1984-04-29 00:00:00 ... 2020-04-29 00:00:00

xarray.DataArray

• time: 37
• y: 120
• x: 80

• dask.array<chunksize=(4, 120, 80), meta=np.ndarray>

  Array Chunk Bytes 1.35 MiB 150.00 kiB Shape (37, 120, 80) (4, 120, 80) Count 113 Tasks 10 Chunks Type float32 numpy.ndarray

• Coordinates: (3)
  • x
    (x)
    float32
    -1.761e+06 ... -7.708e+05

    array([-1760993.6 , -1748459.9 , -1735926.1 , -1723392.4 , -1710858.6 ,
                   -1698324.9 , -1685791.  , -1673257.2 , -1660723.5 , -1648189.8 ,
                   -1635656.  , -1623122.2 , -1610588.5 , -1598054.8 , -1585521.  ,
                   -1572987.2 , -1560453.4 , -1547919.6 , -1535385.9 , -1522852.1 ,
                   -1510318.4 , -1497784.6 , -1485250.9 , -1472717.1 , -1460183.4 ,
                   -1447649.6 , -1435115.8 , -1422582.  , -1410048.2 , -1397514.5 ,
                   -1384980.8 , -1372447.  , -1359913.2 , -1347379.5 , -1334845.8 ,
                   -1322312.  , -1309778.1 , -1297244.4 , -1284710.6 , -1272176.9 ,
                   -1259643.1 , -1247109.4 , -1234575.6 , -1222041.9 , -1209508.1 ,
                   -1196974.4 , -1184440.5 , -1171906.8 , -1159373.  , -1146839.2 ,
                   -1134305.5 , -1121771.8 , -1109238.  , -1096704.2 , -1084170.5 ,
                   -1071636.8 , -1059102.9 , -1046569.2 , -1034035.4 , -1021501.6 ,
                   -1008967.9 ,  -996434.1 ,  -983900.4 ,  -971366.6 ,  -958832.8 ,
                    -946299.06,  -933765.3 ,  -921231.56,  -908697.75,  -896164.  ,
                    -883630.25,  -871096.5 ,  -858562.75,  -846029.  ,  -833495.2 ,
                    -820961.44,  -808427.7 ,  -795893.94,  -783360.1 ,  -770826.4 ],
                  dtype=float32)

  • y
    (y)
    float32
    6.831e+05 6.956e+05 ... 2.175e+06

    array([ 683090.06,  695623.8 ,  708157.56,  720691.4 ,  733225.1 ,  745758.9 ,
                    758292.6 ,  770826.4 ,  783360.1 ,  795893.94,  808427.7 ,  820961.44,
                    833495.2 ,  846029.  ,  858562.75,  871096.5 ,  883630.25,  896164.  ,
                    908697.75,  921231.56,  933765.3 ,  946299.06,  958832.8 ,  971366.6 ,
                    983900.4 ,  996434.1 , 1008967.9 , 1021501.6 , 1034035.4 , 1046569.2 ,
                   1059102.9 , 1071636.8 , 1084170.5 , 1096704.2 , 1109238.  , 1121771.8 ,
                   1134305.5 , 1146839.2 , 1159373.  , 1171906.8 , 1184440.5 , 1196974.4 ,
                   1209508.1 , 1222041.9 , 1234575.6 , 1247109.4 , 1259643.1 , 1272176.9 ,
                   1284710.6 , 1297244.4 , 1309778.1 , 1322312.  , 1334845.8 , 1347379.5 ,
                   1359913.2 , 1372447.  , 1384980.8 , 1397514.5 , 1410048.2 , 1422582.  ,
                   1435115.8 , 1447649.6 , 1460183.4 , 1472717.1 , 1485250.9 , 1497784.6 ,
                   1510318.4 , 1522852.1 , 1535385.9 , 1547919.6 , 1560453.4 , 1572987.2 ,
                   1585521.  , 1598054.8 , 1610588.5 , 1623122.2 , 1635656.  , 1648189.8 ,
                   1660723.5 , 1673257.2 , 1685791.  , 1698324.9 , 1710858.6 , 1723392.4 ,
                   1735926.1 , 1748459.9 , 1760993.6 , 1773527.4 , 1786061.1 , 1798594.9 ,
                   1811128.6 , 1823662.5 , 1836196.2 , 1848730.  , 1861263.8 , 1873797.5 ,
                   1886331.2 , 1898865.  , 1911398.8 , 1923932.5 , 1936466.2 , 1949000.1 ,
                   1961533.9 , 1974067.6 , 1986601.4 , 1999135.1 , 2011668.9 , 2024202.6 ,
                   2036736.4 , 2049270.1 , 2061803.9 , 2074337.8 , 2086871.5 , 2099405.2 ,
                   2111939.  , 2124472.8 , 2137006.5 , 2149540.2 , 2162074.  , 2174607.8 ],
                  dtype=float32)

  • time
    (time)
    object
    1984-04-29 00:00:00 ... 2020-04-...

    array([cftime.DatetimeJulian(1984, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1985, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1986, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1987, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1988, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1989, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1990, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1991, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1992, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1993, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1994, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1995, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1996, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1997, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1998, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(1999, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2000, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2001, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2002, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2003, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2004, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2005, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2006, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2007, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2008, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2009, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2010, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2011, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2012, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2013, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2014, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2015, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2016, 4, 29, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2017, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2018, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2019, 4, 30, 0, 0, 0, 0, has_year_zero=False),
                   cftime.DatetimeJulian(2020, 4, 29, 0, 0, 0, 0, has_year_zero=False)],
                  dtype=object)

• Attributes: (0)