Power for the plus_y channel (arbitrary units that give sigma0 when noise subtracted and normalized by the X factor).
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Shape
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Dask graph
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
power_minus_y
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
power for minus_y channel
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
Power for the minus_y channel (arbitrary units that give sigma0 when noise subtracted and normalized by the X factor).
\n",
- "
\n",
- "
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- "
\n",
- " \n",
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1.87 MiB
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Shape
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(489673,)
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- "
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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- "
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
coherent_power
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
coherent power combination of minus_y and plus_y channels
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
Power computed by combining the plus_y and minus_y channels coherently by co-aligning the phases (arbitrary units that give sigma0 when noise subtracted and normalized by the X factor).
\n",
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- "
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1.87 MiB
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1.87 MiB
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- "
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Shape
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(489673,)
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
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- "
\n",
- "
x_factor_plus_y
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
X factor for plus_y channel power
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
X factor for the plus_y channel power in linear units (arbitrary units to normalize noise-subtracted power to sigma0).
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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Array
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Chunk
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1.87 MiB
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1.87 MiB
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- "
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- "
Shape
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- "
(489673,)
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- "
(489673,)
\n",
- "
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
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- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
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- "
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- " \n",
- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
x_factor_minus_y
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
X factor for minus_y channel power
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
X factor for the minus_y channel power in linear units (arbitrary units to normalize noise-subtracted power to sigma0).
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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Array
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Chunk
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1.87 MiB
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Shape
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(489673,)
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(489673,)
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
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- "
float32 numpy.ndarray
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- " \n",
- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
water_frac
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
water fraction
units :
1
valid_min :
-1000.0
valid_max :
10000.0
comment :
Noisy estimate of the fraction of the pixel that is water.
\n",
- "
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- "
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- "
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- " \n",
- "
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1.87 MiB
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1.87 MiB
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Shape
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Dask graph
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- "
1 chunks in 2 graph layers
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Data type
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float32 numpy.ndarray
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- "
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- "
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- " \n",
- "
\n",
- "
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- "
water_frac_uncert
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
water fraction uncertainty
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
Uncertainty estimate of the water fraction estimate (width of noisy water frac estimate distribution).
\n",
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- "
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1.87 MiB
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1.87 MiB
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Shape
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(489673,)
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Dask graph
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- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
classification
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
classification
flag_meanings :
land land_near_water water_near_land open_water land_near_dark_water dark_water_edge dark_water
flag_values :
[ 1 2 3 4 22 23 24]
valid_min :
1
valid_max :
24
comment :
Flags indicating water detection results.
\n",
- "
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- "
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- "
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- " \n",
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1.87 MiB
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1.87 MiB
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Dask graph
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- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
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- "
float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
false_detection_rate
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
false detection rate
units :
1
valid_min :
0.0
valid_max :
1.0
comment :
Probability of falsely detecting water when there is none.
\n",
- "
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- "
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- "
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- " \n",
- "
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1.87 MiB
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
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- "
\n",
- "
missed_detection_rate
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
missed detection rate
units :
1
valid_min :
0.0
valid_max :
1.0
comment :
Probability of falsely detecting no water when there is water.
\n",
- "
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- "
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1.87 MiB
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Shape
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- "
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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- "
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- "
Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
prior_water_prob
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
prior water probability
units :
1
valid_min :
0.0
valid_max :
1.0
comment :
Prior probability of water occurring.
\n",
- "
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- "
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- "
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- " \n",
- "
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1.87 MiB
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1.87 MiB
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Shape
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(489673,)
\n",
- "
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\n",
- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- "
\n",
- "
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- "
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- " \n",
- "
\n",
- "
\n",
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bright_land_flag
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
bright land flag
standard_name :
status_flag
flag_meanings :
not_bright_land bright_land bright_land_or_water
flag_values :
[0 1 2]
valid_min :
0
valid_max :
2
comment :
Flag indicating areas that are not typically water but are expected to be bright (e.g., urban areas, ice). Flag value 2 indicates cases where prior data indicate land, but where prior_water_prob indicates possible water.
\n",
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- "
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- "
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Chunk
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1.87 MiB
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1.87 MiB
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Shape
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- "
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- "
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Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
layover_impact
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
layover impact
units :
m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Estimate of the height error caused by layover, which may not be reliable on a pixel by pixel basis, but may be useful to augment aggregated height uncertainties.
\n",
- "
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- "
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- "
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- "
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Array
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Chunk
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1.87 MiB
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- "
1.87 MiB
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- "
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- " \n",
- "
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- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
eff_num_rare_looks
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
effective number of rare looks
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
Effective number of independent looks taken to form the rare interferogram.
\n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
Array
\n",
- "
Chunk
\n",
- "
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- " \n",
- " \n",
- " \n",
- "
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Bytes
\n",
- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
height
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
height above reference ellipsoid
units :
m
valid_min :
-1500.0
valid_max :
15000.0
comment :
Height of the pixel above the reference ellipsoid.
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
\n",
- "
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- "
Array
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Chunk
\n",
- "
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- " \n",
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Bytes
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1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
cross_track
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
approximate cross-track location
units :
m
valid_min :
-75000.0
valid_max :
75000.0
comment :
Approximate cross-track location of the pixel.
\n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
Array
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Chunk
\n",
- "
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- " \n",
- " \n",
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- "
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\n",
- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
\n",
- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
pixel_area
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
pixel area
units :
m^2
valid_min :
0.0
valid_max :
999999.0
comment :
Pixel area.
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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- "
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1.87 MiB
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1.87 MiB
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- "
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Shape
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Dask graph
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1 chunks in 2 graph layers
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
inc
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
incidence angle
units :
degrees
valid_min :
0.0
valid_max :
999999.0
comment :
Incidence angle.
\n",
- "
\n",
- "
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- "
\n",
- " \n",
- "
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- "
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- "
Array
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1.87 MiB
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1.87 MiB
\n",
- "
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Shape
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(489673,)
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Dask graph
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1 chunks in 2 graph layers
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Data type
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
phase_noise_std
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
phase noise standard deviation
units :
radians
valid_min :
-999999.0
valid_max :
999999.0
comment :
Estimate of the phase noise standard deviation.
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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- "
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1.87 MiB
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- "
1.87 MiB
\n",
- "
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- " \n",
- "
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Shape
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(489673,)
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- "
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- "
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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- "
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Data type
\n",
- "
float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
dlatitude_dphase
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of latitude estimate to interferogram phase
units :
degrees/radian
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the latitude estimate to the interferogram phase.
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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- "
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Array
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1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
\n",
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(489673,)
\n",
- "
(489673,)
\n",
- "
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- "
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- "
Dask graph
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- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
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- "
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- " \n",
- "
\n",
- "
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- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
dlongitude_dphase
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of longitude estimate to interferogram phase
units :
degrees/radian
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the longitude estimate to the interferogram phase.
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
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- "
Array
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Chunk
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- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
\n",
- " \n",
- "
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- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
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- "
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- "
Dask graph
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- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
dheight_dphase
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of height estimate to interferogram phase
units :
m/radian
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the height estimate to the interferogram phase.
\n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
Array
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Chunk
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- " \n",
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- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
\n",
- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
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- "
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- "
Dask graph
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- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
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- " \n",
- "
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- "
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
dheight_droll
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of height estimate to spacecraft roll
units :
m/degrees
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the height estimate to the spacecraft roll.
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
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- "
Array
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1.87 MiB
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1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
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- "
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- "
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- "
Dask graph
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- "
1 chunks in 2 graph layers
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- "
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- "
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- "
Data type
\n",
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float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
dheight_dbaseline
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of height estimate to interferometric baseline
units :
m/m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the height estimate to the interferometric baseline.
\n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
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- "
Array
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Chunk
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1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
\n",
- "
(489673,)
\n",
- "
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\n",
- "
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
dheight_drange
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of height estimate to range (delay)
units :
m/m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the height estimate to the range (delay).
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
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- "
1.87 MiB
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- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
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- "
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- "
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
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- "
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- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
darea_dheight
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sensitivity of pixel area to reference height
units :
m^2/m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Sensitivity of the pixel area to the reference height.
\n",
- "
\n",
- "
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- "
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- " \n",
- "
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- "
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1.87 MiB
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- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
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- "
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\n",
- "
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\n",
- "
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- "
\n",
- "
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- "
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- " \n",
- "
\n",
- "
\n",
- "
illumination_time
(points)
datetime64[ns]
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
time of illumination of each pixel (UTC)
standard_name :
time
tai_utc_difference :
[Value of TAI-UTC at time of first record]
leap_second :
YYYY-MM-DD hh:mm:ss
comment :
Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.
\n",
- "
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- "
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3.74 MiB
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- "
3.74 MiB
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- "
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- "
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Shape
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- "
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- "
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Data type
\n",
- "
datetime64[ns] numpy.ndarray
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- "
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- "
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- "
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illumination_time_tai
(points)
datetime64[ns]
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
time of illumination of each pixel (TAI)
standard_name :
time
comment :
Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [illumination_time:tai_utc_difference].
\n",
- "
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- "
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- "
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- " \n",
- "
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3.74 MiB
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- "
3.74 MiB
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- "
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Shape
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- "
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- "
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Dask graph
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- "
1 chunks in 2 graph layers
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- "
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- "
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Data type
\n",
- "
datetime64[ns] numpy.ndarray
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- "
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- "
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- "
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- "
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- " \n",
- "
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- "
\n",
- "
eff_num_medium_looks
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
effective number of medium looks
units :
1
valid_min :
0.0
valid_max :
999999.0
comment :
Effective number of independent looks taken in forming the medium interferogram (after adaptive averaging).
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
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- "
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Chunk
\n",
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- " \n",
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- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
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- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
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- "
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- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
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- "
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- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
sig0
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
sigma0
units :
1
valid_min :
-999999.0
valid_max :
999999.0
comment :
Normalized radar cross section (sigma0) in real, linear units (not decibels). The value may be negative due to noise subtraction.
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
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- "
Array
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Chunk
\n",
- "
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- "
Bytes
\n",
- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
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- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
phase_unwrapping_region
(points)
float64
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
phase unwrapping region index
units :
1
valid_min :
-1
valid_max :
99999999
comment :
Phase unwrapping region index.
\n",
- "
\n",
- "
\n",
- "
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- " \n",
- "
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- "
\n",
- "
Array
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Chunk
\n",
- "
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- " \n",
- " \n",
- " \n",
- "
\n",
- "
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\n",
- "
3.74 MiB
\n",
- "
3.74 MiB
\n",
- "
\n",
- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float64 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
instrument_range_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
instrument range correction
units :
m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Term that incorporates all calibration corrections applied to range before geolocation.
\n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
Array
\n",
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Chunk
\n",
- "
\n",
- " \n",
- " \n",
- " \n",
- "
\n",
- "
Bytes
\n",
- "
1.87 MiB
\n",
- "
1.87 MiB
\n",
- "
\n",
- " \n",
- "
\n",
- "
Shape
\n",
- "
(489673,)
\n",
- "
(489673,)
\n",
- "
\n",
- "
\n",
- "
Dask graph
\n",
- "
1 chunks in 2 graph layers
\n",
- "
\n",
- "
\n",
- "
Data type
\n",
- "
float32 numpy.ndarray
\n",
- "
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- " \n",
- "
\n",
- "
\n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "
instrument_phase_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
instrument phase correction
units :
radians
valid_min :
-999999.0
valid_max :
999999.0
comment :
Term that incorporates all calibration corrections applied to phase before geolocation.
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instrument_baseline_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
instrument baseline correction
units :
m
valid_min :
-999999.0
valid_max :
999999.0
comment :
Term that incorporates all calibration corrections applied to baseline before geolocation.
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instrument_attitude_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
instrument attitude correction
units :
degrees
valid_min :
-999999.0
valid_max :
999999.0
comment :
Term that incorporates all calibration corrections applied to attitude before geolocation.
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model_dry_tropo_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
dry troposphere vertical correction
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
-3.0
valid_max :
-1.5
comment :
Equivalent vertical correction due to dry troposphere delay. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported pixel height results in the uncorrected pixel height.
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1.87 MiB
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Data type
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float32 numpy.ndarray
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model_wet_tropo_cor
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
wet troposphere vertical correction
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
-1.0
valid_max :
0.0
comment :
Equivalent vertical correction due to wet troposphere delay. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported pixel height results in the uncorrected pixel height.
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Data type
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float32 numpy.ndarray
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iono_cor_gim_ka
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
ionosphere vertical correction
source :
Global Ionosphere Maps
institution :
JPL
units :
m
valid_min :
-0.5
valid_max :
0.0
comment :
Equivalent vertical correction due to ionosphere delay. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported pixel height results in the uncorrected pixel height.
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height_cor_xover
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
height correction from KaRIn crossovers
units :
m
valid_min :
-10.0
valid_max :
10.0
comment :
Height correction from KaRIn crossover calibration. The correction is applied before geolocation but reported as an equivalent height correction.
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geoid
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
geoid height
standard_name :
geoid_height_above_reference_ellipsoid
source :
EGM2008 (Pavlis et al., 2012)
units :
m
valid_min :
-150.0
valid_max :
150.0
comment :
Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).
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solid_earth_tide
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
solid Earth tide height
source :
Cartwright and Taylor (1971) and Cartwright and Edden (1973)
units :
m
valid_min :
-1.0
valid_max :
1.0
comment :
Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.
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load_tide_fes
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
geocentric load tide height (FES)
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-0.2
valid_max :
0.2
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value is reported for reference but is not applied to the reported height.
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- "
1.87 MiB
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Shape
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load_tide_got
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
geocentric load tide height (GOT)
source :
GOT4.10c (Ray, 2013)
institution :
GSFC
units :
m
valid_min :
-0.2
valid_max :
0.2
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value is reported for reference but is not applied to the reported height.
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pole_tide
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
geocentric pole tide height
source :
Wahr (1985) and Desai et al. (2015)
units :
m
valid_min :
-0.2
valid_max :
0.2
comment :
Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth's crust).
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ancillary_surface_classification_flag
(points)
float32
dask.array<chunksize=(489673,), meta=np.ndarray>
long_name :
surface classification
standard_name :
status_flag
source :
MODIS/GlobCover
institution :
European Space Agency
flag_meanings :
open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin
flag_values :
[0 1 2 3 4 5 6]
valid_min :
0
valid_max :
6
comment :
7-state surface type classification computed from a mask built with MODIS and GlobCover data.
Unique node identifier from the prior river database. The format of the identifier is CBBBBBRRRRNNNT, where C=continent, B=basin, R=reach, N=node, T=type of water body.
Identifier of the lake from the lake prior database) associated to the pixel. The format of the identifier is CBBNNNNNNT, where C=continent, B=basin, N=counter within the basin, T=type of water body.
Tile-specific identifier of the observed feature associated to the pixel. The format of the identifier is CBBTTTSNNNNNN, where C=continent, B=basin, T=tile number, S=swath side, N=lake counter within the PIXC tile.
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|S1 numpy.ndarray
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ice_clim_f
(points)
int8
dask.array<chunksize=(489673,), meta=np.ndarray>
_FillValue :
127
long_name :
climatological ice cover flag
flag_meanings :
no_ice_cover partial_ice_cover full_ice_cover
flag_values :
[0 1 2]
institution :
University of North Carolina
coordinates :
longitude_vectorproc latitude_vectorproc
comment :
Climatological ice cover flag indicating whether the pixel is ice-covered on the day of the observation based on external climatological information (not the SWOT measurement). Values of 0, 1, and 2 indicate that the surface is not ice covered, partially ice covered, and fully ice covered, respectively. A value of 255 indicates that this flag is not available.
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478.20 kiB
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478.20 kiB
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Data type
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ice_dyn_f
(points)
int8
dask.array<chunksize=(489673,), meta=np.ndarray>
_FillValue :
127
long_name :
dynamical ice cover flag
flag_meanings :
no_ice_cover partial_ice_cover full_ice_cover
flag_values :
[0 1 2]
institution :
University of North Carolina
coordinates :
longitude_vectorproc latitude_vectorproc
comment :
Dynamic ice cover flag indicating whether the pixel is ice-covered on the day of the observation based on analysis of external satellite optical data. Values of 0, 1, and 2 indicate that the surface is not ice covered, partially ice covered, and fully ice covered, respectively. A value of 255 indicates that this flag is not available.
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Conventions :
CF-1.7
title :
Level 2 KaRIn high rate pixel cloud vector attribute product
Water surface elevation of the pixel above the geoid and after using models to subtract the effects of tides (solid_earth_tide, load_tide_fes, pole_tide).
1-sigma uncertainty in sigma0. The value is provided in linear units. This value is a one-sigma additive (not multiplicative) uncertainty term, which can be added to or subtracted from sigma0.
Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.
Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [illumination_time:tai_utc_difference].
Climatological ice cover flag indicating whether the pixel is ice-covered on the day of the observation based on external climatological information (not the SWOT measurement). Values of 0, 1, and 2 indicate that the pixel is likely not ice covered, may or may not be partially or fully ice covered, and likely fully ice covered, respectively.
Dynamic ice cover flag indicating whether the surface is ice-covered on the day of the observation based on analysis of external satellite optical data. Values of 0, 1, and 2 indicate that the pixel is not ice covered, partially ice covered, and fully ice covered, respectively.
Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).
Geocentric load tide height. The effect of the ocean tide loading of the Earth’s crust. This value is reported for reference but is not applied to the reported height.
Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth’s crust).
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
grid_mapping :
crs
units :
m
valid_min :
-3.0
valid_max :
-1.5
comment :
Equivalent vertical correction due to dry troposphere delay. The reported water surface elevation, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported water surface elevation results in the uncorrected pixel height.
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
grid_mapping :
crs
units :
m
valid_min :
-1.0
valid_max :
0.0
comment :
Equivalent vertical correction due to wet troposphere delay. The reported water surface elevation, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported water surface elevation results in the uncorrected pixel height.
Equivalent vertical correction due to ionosphere delay. The reported water surface elevation, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported water surface elevation results in the uncorrected pixel height.
Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.
[700557 values with dtype=float64]
longitude
(num_lines, num_pixels)
float64
...
long_name :
longitude (degrees East)
standard_name :
longitude
units :
degrees_east
valid_min :
0
valid_max :
359999999
comment :
Longitude of measurement. East longitude relative to Greenwich meridian.
[700557 values with dtype=float64]
latitude_nadir
(num_lines)
float64
...
long_name :
latitude of satellite nadir point
standard_name :
latitude
units :
degrees_north
valid_min :
-80000000
valid_max :
80000000
comment :
Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.
[9867 values with dtype=float64]
longitude_nadir
(num_lines)
float64
...
long_name :
longitude of satellite nadir point
standard_name :
longitude
units :
degrees_east
valid_min :
0
valid_max :
359999999
comment :
Longitude (degrees east of Grenwich meridian) of the satellite nadir point.
[9867 values with dtype=float64]
time
(num_lines)
datetime64[ns]
...
long_name :
time in UTC
standard_name :
time
leap_second :
YYYY-MM-DDThh:mm:ssZ
comment :
Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.
tai_utc_difference :
35.0
[9867 values with dtype=datetime64[ns]]
time_tai
(num_lines)
datetime64[ns]
...
long_name :
time in TAI
standard_name :
time
tai_utc_difference :
[Value of TAI-UTC at time of first record]
comment :
Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].
[9867 values with dtype=datetime64[ns]]
ssh_karin
(num_lines, num_pixels)
float64
...
long_name :
sea surface height
standard_name :
sea surface height above reference ellipsoid
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).
[700557 values with dtype=float64]
ssh_karin_uncert
(num_lines, num_pixels)
float32
...
long_name :
sea surface height anomaly uncertainty
units :
m
valid_min :
0
valid_max :
60000
comment :
1-sigma uncertainty on the sea surface height from the KaRIn measurement.
[700557 values with dtype=float32]
ssha_karin
(num_lines, num_pixels)
float64
...
long_name :
sea surface height anomaly
units :
m
valid_min :
-1000000
valid_max :
1000000
comment :
Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.
[700557 values with dtype=float64]
ssh_karin_2
(num_lines, num_pixels)
float64
...
long_name :
sea surface height
standard_name :
sea surface height above reference ellipsoid
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).
[700557 values with dtype=float64]
ssha_karin_2
(num_lines, num_pixels)
float64
...
long_name :
sea surface height anomaly
units :
m
valid_min :
-1000000
valid_max :
1000000
comment :
Sea surface height anomaly from the KaRIn measurement = ssh_karin_2 - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.
[700557 values with dtype=float64]
ssha_karin_qual
(num_lines, num_pixels)
float64
...
long_name :
sea surface height quality flag
standard_name :
status_flag
flag_meanings :
good bad
flag_values :
[0 1]
valid_min :
0
valid_max :
1
comment :
Quality flag for the SSHA from KaRIn.
[700557 values with dtype=float64]
polarization_karin
(num_lines, num_sides)
object
...
long_name :
polarization for each side of the KaRIn swath
comment :
H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.
[19734 values with dtype=object]
swh_karin
(num_lines, num_pixels)
float32
...
long_name :
significant wave height from KaRIn
standard_name :
sea_surface_wave_significant_height
units :
m
valid_min :
0
valid_max :
25000
comment :
Significant wave height from KaRIn volumetric correlation.
[700557 values with dtype=float32]
swh_karin_uncert
(num_lines, num_pixels)
float32
...
long_name :
1-sigma uncertainty on significant wave height from KaRIn
units :
m
valid_min :
0
valid_max :
25000
comment :
1-sigma uncertainty on significant wave height from KaRIn.
[700557 values with dtype=float32]
sig0_karin
(num_lines, num_pixels)
float32
...
long_name :
normalized radar cross section (sigma0) from KaRIn
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).
[700557 values with dtype=float32]
sig0_karin_uncert
(num_lines, num_pixels)
float32
...
long_name :
1-sigma uncertainty on sigma0 from KaRIn
units :
1
valid_min :
0.0
valid_max :
1000.0
comment :
1-sigma uncertainty on sigma0 from KaRIn.
[700557 values with dtype=float32]
sig0_karin_2
(num_lines, num_pixels)
float32
...
long_name :
normalized radar cross section (sigma0) from KaRIn
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).
[700557 values with dtype=float32]
wind_speed_karin
(num_lines, num_pixels)
float32
...
long_name :
wind speed from KaRIn
standard_name :
wind_speed
source :
TBD
units :
m/s
valid_min :
0
valid_max :
65000
comment :
Wind speed from KaRIn computed from sig0_karin.
[700557 values with dtype=float32]
wind_speed_karin_2
(num_lines, num_pixels)
float32
...
long_name :
wind speed from KaRIn
standard_name :
wind_speed
source :
TBD
units :
m/s
valid_min :
0
valid_max :
65000
comment :
Wind speed from KaRIn computed from sig0_karin_2.
[700557 values with dtype=float32]
swh_karin_qual
(num_lines, num_pixels)
float64
...
long_name :
quality flag for significant wave height from KaRIn.
standard_name :
status_flag
flag_meanings :
good bad
flag_values :
[0 1]
valid_min :
0
valid_max :
1
comment :
Quality flag for significant wave height from KaRIn.
[700557 values with dtype=float64]
sig0_karin_qual
(num_lines, num_pixels)
float64
...
long_name :
quality flag for sigma0 from KaRIn.
standard_name :
status_flag
flag_meanings :
good bad
flag_values :
[0 1]
valid_min :
0
valid_max :
1
comment :
Quality flag for sigma0 from KaRIn.
[700557 values with dtype=float64]
num_pt_avg
(num_lines, num_pixels)
float32
...
long_name :
number of samples averaged
units :
1
valid_min :
0
valid_max :
289
comment :
Number of native unsmoothed, beam-combined KaRIn samples averaged.
[700557 values with dtype=float32]
swh_model
(num_lines, num_pixels)
float32
...
long_name :
significant wave height from wave model
standard_name :
sea_surface_wave_significant_height
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
0
valid_max :
30000
comment :
Significant wave height from model.
[700557 values with dtype=float32]
mean_wave_direction
(num_lines, num_pixels)
float32
...
long_name :
mean sea surface wave direction
source :
Meteo France Wave Model (MF-WAM)
institution :
Meteo France
units :
degree
valid_min :
0
valid_max :
36000
comment :
Mean sea surface wave direction.
[700557 values with dtype=float32]
mean_wave_period_t02
(num_lines, num_pixels)
float32
...
long_name :
sea surface wind wave mean period
standard_name :
sea_surface_wave_significant_period
source :
Meteo France Wave Model (MF-WAM)
institution :
Meteo France
units :
s
valid_min :
0
valid_max :
100
comment :
Sea surface wind wave mean period from model spectral density second moment.
[700557 values with dtype=float32]
wind_speed_model_u
(num_lines, num_pixels)
float32
...
long_name :
u component of model wind
standard_name :
eastward_wind
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m/s
valid_min :
-30000
valid_max :
30000
comment :
Eastward component of the atmospheric model wind vector at 10 meters.
[700557 values with dtype=float32]
wind_speed_model_v
(num_lines, num_pixels)
float32
...
long_name :
v component of model wind
standard_name :
northward_wind
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m/s
valid_min :
-30000
valid_max :
30000
comment :
Northward component of the atmospheric model wind vector at 10 meters.
[700557 values with dtype=float32]
wind_speed_rad
(num_lines, num_sides)
float32
...
long_name :
wind speed from radiometer
standard_name :
wind_speed
source :
Advanced Microwave Radiometer
units :
m/s
valid_min :
0
valid_max :
65000
comment :
Wind speed from radiometer measurements.
[19734 values with dtype=float32]
distance_to_coast
(num_lines, num_pixels)
float32
...
long_name :
distance to coast
source :
MODIS/GlobCover
institution :
European Space Agency
units :
m
valid_min :
0
valid_max :
21000
comment :
Approximate distance to the nearest coast point along the Earth surface.
[700557 values with dtype=float32]
heading_to_coast
(num_lines, num_pixels)
float32
...
long_name :
heading to coast
units :
degrees
valid_min :
0
valid_max :
35999
comment :
Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.
[700557 values with dtype=float32]
ancillary_surface_classification_flag
(num_lines, num_pixels)
float32
...
long_name :
surface classification
standard_name :
status_flag
source :
MODIS/GlobCover
institution :
European Space Agency
flag_meanings :
open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin
flag_values :
[0 1 2 3 4 5 6]
valid_min :
0
valid_max :
6
comment :
7-state surface type classification computed from a mask built with MODIS and GlobCover data.
[700557 values with dtype=float32]
dynamic_ice_flag
(num_lines, num_pixels)
float32
...
long_name :
dynamic ice flag
standard_name :
status_flag
source :
EUMETSAT Ocean and Sea Ice Satellite Applications Facility
institution :
EUMETSAT
flag_meanings :
no_ice probable_ice ice
flag_values :
[0 1 2]
valid_min :
0
valid_max :
2
comment :
Dynamic ice flag for the location of the KaRIn measurement.
[700557 values with dtype=float32]
rain_flag
(num_lines, num_pixels)
float32
...
long_name :
rain flag
standard_name :
status_flag
flag_meanings :
no_rain probable_rain rain
flag_values :
[0 1 2]
valid_min :
0
valid_max :
2
comment :
Flag indicates that signal is attenuated, probably from rain.
[700557 values with dtype=float32]
rad_surface_type_flag
(num_lines, num_sides)
float32
...
long_name :
radiometer surface type flag
standard_name :
status_flag
source :
Advanced Microwave Radiometer
flag_meanings :
open_ocean coastal_ocean land
flag_values :
[0 1 2]
valid_min :
0
valid_max :
2
comment :
Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.
[19734 values with dtype=float32]
sc_altitude
(num_lines)
float64
...
long_name :
altitude of KMSF origin
standard_name :
height_above_reference_ellipsoid
units :
m
valid_min :
0
valid_max :
2000000000
comment :
Altitude of the KMSF origin.
[9867 values with dtype=float64]
orbit_alt_rate
(num_lines)
float32
...
long_name :
orbital altitude rate with respect to mean sea surface
units :
m/s
valid_min :
-3500
valid_max :
3500
comment :
Orbital altitude rate with respect to the mean sea surface.
[9867 values with dtype=float32]
cross_track_angle
(num_lines)
float64
...
long_name :
cross-track angle from true north
units :
degrees
valid_min :
0
valid_max :
359999999
comment :
Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.
[9867 values with dtype=float64]
sc_roll
(num_lines)
float64
...
long_name :
roll of the spacecraft
standard_name :
platform_roll_angle
units :
degrees
valid_min :
-1799999
valid_max :
1800000
comment :
KMSF attitude roll angle; positive values move the +y antenna down.
KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.
[9867 values with dtype=float64]
velocity_heading
(num_lines)
float64
...
long_name :
heading of the spacecraft Earth-relative velocity vector
units :
degrees
valid_min :
0
valid_max :
359999999
comment :
Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.
[9867 values with dtype=float64]
orbit_qual
(num_lines)
float32
...
long_name :
orbit quality flag
standard_name :
status_flag
valid_min :
0
valid_max :
1
comment :
Orbit quality flag.
[9867 values with dtype=float32]
latitude_avg_ssh
(num_lines, num_pixels)
float64
...
long_name :
weighted average latitude of samples used to compute SSH
standard_name :
latitude
units :
degrees_north
valid_min :
-80000000
valid_max :
80000000
comment :
Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
[700557 values with dtype=float64]
longitude_avg_ssh
(num_lines, num_pixels)
float64
...
long_name :
weighted average longitude of samples used to compute SSH
standard_name :
longitude
units :
degrees_east
valid_min :
0
valid_max :
359999999
comment :
Longitude of measurement. East longitude relative to Greenwich meridian. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
[700557 values with dtype=float64]
cross_track_distance
(num_lines, num_pixels)
float32
...
long_name :
cross track distance
units :
m
valid_min :
-75000.0
valid_max :
75000.0
comment :
Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.
[700557 values with dtype=float32]
x_factor
(num_lines, num_pixels)
float32
...
long_name :
radiometric calibration X factor as a composite value for the X factors of the +y and -y channels
units :
1
valid_min :
0.0
valid_max :
1e+20
comment :
Radiometric calibration X factor as a linear power ratio.
[700557 values with dtype=float32]
sig0_cor_atmos_model
(num_lines, num_pixels)
float32
...
long_name :
two-way atmospheric correction to sigma0 from model
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
1
valid_min :
1.0
valid_max :
10.0
comment :
Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.
[700557 values with dtype=float32]
sig0_cor_atmos_rad
(num_lines, num_pixels)
float32
...
long_name :
two-way atmospheric correction to sigma0 from radiometer data
source :
Advanced Microwave Radiometer
units :
1
valid_min :
1.0
valid_max :
10.0
comment :
Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.
[700557 values with dtype=float32]
doppler_centroid
(num_lines, num_sides)
float32
...
long_name :
doppler centroid estimated by KaRIn
units :
1/s
valid_min :
-30000
valid_max :
30000
comment :
Doppler centroid (in hertz or cycles per second) estimated by KaRIn.
[19734 values with dtype=float32]
phase_bias_ref_surface
(num_lines, num_pixels)
float64
...
long_name :
height of reference surface used for phase bias calculation
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.
[700557 values with dtype=float64]
obp_ref_surface
(num_lines, num_pixels)
float64
...
long_name :
height of reference surface used by on-board-processor
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.
[700557 values with dtype=float64]
rad_tmb_187
(num_lines, num_sides)
float32
...
long_name :
radiometer main beam brightness temperature at 18.7 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
13000
valid_max :
25000
comment :
Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).
[19734 values with dtype=float32]
rad_tmb_238
(num_lines, num_sides)
float32
...
long_name :
radiometer main beam brightness temperature at 23.8 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
13000
valid_max :
25000
comment :
Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).
[19734 values with dtype=float32]
rad_tmb_340
(num_lines, num_sides)
float32
...
long_name :
radiometer main beam brightness temperature at 34.0 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
15000
valid_max :
28000
comment :
Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).
[19734 values with dtype=float32]
rad_water_vapor
(num_lines, num_sides)
float32
...
long_name :
water vapor content from radiometer
standard_name :
atmosphere_water_vapor_content
source :
Advanced Microwave Radiometer
units :
kg/m^2
valid_min :
0
valid_max :
15000
comment :
Integrated water vapor content from radiometer measurements.
[19734 values with dtype=float32]
rad_cloud_liquid_water
(num_lines, num_sides)
float32
...
long_name :
liquid water content from radiometer
standard_name :
atmosphere_cloud_liquid_water_content
source :
Advanced Microwave Radiometer
units :
kg/m^2
valid_min :
0
valid_max :
2000
comment :
Integrated cloud liquid water content from radiometer measurements.
[19734 values with dtype=float32]
mean_sea_surface_cnescls
(num_lines, num_pixels)
float64
...
long_name :
mean sea surface height (CNES/CLS)
source :
CNES_CLS_15
institution :
CNES/CLS
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
[700557 values with dtype=float64]
mean_sea_surface_cnescls_uncert
(num_lines, num_pixels)
float32
...
long_name :
mean sea surface height accuracy (CNES/CLS)
source :
CNES_CLS_15
institution :
CNES/CLS
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean sea surface height (mean_sea_surface_cnescls).
[700557 values with dtype=float32]
mean_sea_surface_dtu
(num_lines, num_pixels)
float64
...
long_name :
mean sea surface height (DTU)
source :
DTU18
institution :
DTU
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
[700557 values with dtype=float64]
mean_sea_surface_dtu_uncert
(num_lines, num_pixels)
float32
...
long_name :
mean sea surface height accuracy (DTU)
source :
DTU18
institution :
DTU
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean sea surface height (mean_sea_surface_dtu)
[700557 values with dtype=float32]
geoid
(num_lines, num_pixels)
float64
...
long_name :
geoid height
standard_name :
geoid_height_above_reference_ellipsoid
source :
EGM2008 (Pavlis et al., 2012)
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).
[700557 values with dtype=float64]
mean_dynamic_topography
(num_lines, num_pixels)
float32
...
long_name :
mean dynamic topography
source :
CNES_CLS_18
institution :
CNES/CLS
units :
m
valid_min :
-30000
valid_max :
30000
comment :
Mean dynamic topography above the geoid.
[700557 values with dtype=float32]
mean_dynamic_topography_uncert
(num_lines, num_pixels)
float32
...
long_name :
mean dynamic topography accuracy
source :
CNES_CLS_18
institution :
CNES/CLS
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean dynamic topography.
[700557 values with dtype=float32]
depth_or_elevation
(num_lines, num_pixels)
float32
...
long_name :
ocean depth or land elevation
source :
Altimeter Corrected Elevations, version 2
institution :
European Space Agency
units :
m
valid_min :
-12000
valid_max :
10000
comment :
Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.
[700557 values with dtype=float32]
solid_earth_tide
(num_lines, num_pixels)
float32
...
long_name :
solid Earth tide height
source :
Cartwright and Taylor (1971) and Cartwright and Edden (1973)
units :
m
valid_min :
-10000
valid_max :
10000
comment :
Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.
[700557 values with dtype=float32]
ocean_tide_fes
(num_lines, num_pixels)
float64
...
long_name :
geocentric ocean tide height (FES)
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-300000
valid_max :
300000
comment :
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).
[700557 values with dtype=float64]
ocean_tide_got
(num_lines, num_pixels)
float64
...
long_name :
geocentric ocean tide height (GOT)
source :
GOT4.10c (Ray, 2013)
institution :
GSFC
units :
m
valid_min :
-300000
valid_max :
300000
comment :
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).
[700557 values with dtype=float64]
load_tide_fes
(num_lines, num_pixels)
float32
...
long_name :
geocentric load tide height (FES)
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).
[700557 values with dtype=float32]
load_tide_got
(num_lines, num_pixels)
float32
...
long_name :
geocentric load tide height (GOT)
source :
GOT4.10c (Ray, 2013)
institution :
GSFC
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).
[700557 values with dtype=float32]
ocean_tide_eq
(num_lines, num_pixels)
float32
...
long_name :
equilibrium long-period ocean tide height
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).
[700557 values with dtype=float32]
ocean_tide_non_eq
(num_lines, num_pixels)
float32
...
long_name :
non-equilibrium long-period ocean tide height
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.
[700557 values with dtype=float32]
internal_tide_hret
(num_lines, num_pixels)
float32
...
long_name :
coherent internal tide (HRET)
source :
Zaron (2019)
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.
[700557 values with dtype=float32]
internal_tide_sol2
(num_lines, num_pixels)
float32
...
long_name :
coherent internal tide (Model 2)
source :
TBD
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Coherent internal tide.
[700557 values with dtype=float32]
pole_tide
(num_lines, num_pixels)
float32
...
long_name :
geocentric pole tide height
source :
Wahr (1985) and Desai et al. (2015)
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth's crust).
[700557 values with dtype=float32]
dac
(num_lines, num_pixels)
float32
...
long_name :
dynamic atmospheric correction
source :
MOG2D
institution :
LEGOS/CNES/CLS
units :
m
valid_min :
-12000
valid_max :
12000
comment :
Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.
[700557 values with dtype=float32]
inv_bar_cor
(num_lines, num_pixels)
float32
...
long_name :
static inverse barometer effect on sea surface height
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.
[700557 values with dtype=float32]
model_dry_tropo_cor
(num_lines, num_pixels)
float32
...
long_name :
dry troposphere vertical correction
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
-30000
valid_max :
-15000
comment :
Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
[700557 values with dtype=float32]
model_wet_tropo_cor
(num_lines, num_pixels)
float32
...
long_name :
wet troposphere vertical correction from weather model data
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
-10000
valid_max :
0
comment :
Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.
[700557 values with dtype=float32]
rad_wet_tropo_cor
(num_lines, num_pixels)
float32
...
long_name :
wet troposphere vertical correction from radiometer data
source :
Advanced Microwave Radiometer
units :
m
valid_min :
-10000
valid_max :
0
comment :
Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.
[700557 values with dtype=float32]
iono_cor_gim_ka
(num_lines, num_pixels)
float32
...
long_name :
ionosphere vertical correction
source :
Global Ionosphere Maps
institution :
JPL
units :
m
valid_min :
-5000
valid_max :
0
comment :
Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
[700557 values with dtype=float32]
height_cor_xover
(num_lines, num_pixels)
float64
...
long_name :
height correction from KaRIn crossovers
units :
m
valid_min :
-100000
valid_max :
100000
comment :
Height correction from KaRIn crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.
[700557 values with dtype=float64]
correction_flag
(num_lines, num_pixels)
float32
...
long_name :
quality flag for corrections
standard_name :
status_flag
flag_meanings :
good bad
flag_values :
[0 1]
valid_min :
0
valid_max :
1
comment :
Quality flag for corrections.
[700557 values with dtype=float32]
rain_rate
(num_lines, num_pixels)
float32
...
long_name :
rain rate from weather model
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
mm/hr
valid_min :
0
valid_max :
200
comment :
Rain rate from weather model.
[700557 values with dtype=float32]
ice_conc
(num_lines, num_pixels)
float32
...
long_name :
concentration of sea ice
standard_name :
sea_ice_area_fraction
source :
EUMETSAT Ocean and Sea Ice Satellite Applications Facility
institution :
EUMETSAT
units :
%
valid_min :
0
valid_max :
10000
comment :
Concentration of sea ice from model.
[700557 values with dtype=float32]
sea_state_bias_cor
(num_lines, num_pixels)
float32
...
long_name :
sea state bias correction to height
source :
TBD
units :
m
valid_min :
-6000
valid_max :
0
comment :
Sea state bias correction to ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.
[700557 values with dtype=float32]
sea_state_bias_cor_2
(num_lines, num_pixels)
float32
...
long_name :
sea state bias correction to height
source :
TBD
units :
m
valid_min :
-6000
valid_max :
0
comment :
Sea state bias correction to ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.
[700557 values with dtype=float32]
swh_sea_state_bias
(num_lines, num_pixels)
float32
...
long_name :
SWH used in sea state bias correction
units :
m
valid_min :
0
valid_max :
25000
comment :
Significant wave height used in sea state bias correction.
[700557 values with dtype=float32]
simulated_true_ssh_karin
(num_lines, num_pixels)
float64
...
long_name :
sea surface height
standard_name :
sea surface height above reference ellipsoid
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Height of the sea surface free of measurement errors.
[700557 values with dtype=float64]
simulated_error_karin
(num_lines, num_pixels)
float64
...
long_name :
KaRIn error
units :
m
[700557 values with dtype=float64]
simulated_error_baseline_dilation
(num_lines, num_pixels)
float64
...
long_name :
Error due to baseline mast dilation
units :
m
[700557 values with dtype=float64]
simulated_error_roll
(num_lines, num_pixels)
float64
...
long_name :
Error due to roll
units :
m
[700557 values with dtype=float64]
simulated_error_phase
(num_lines, num_pixels)
float64
...
long_name :
Error due to phase
units :
m
[700557 values with dtype=float64]
simulated_error_timing
(num_lines, num_pixels)
float64
...
long_name :
Timing error
units :
m
[700557 values with dtype=float64]
simulated_error_orbital
(num_lines, num_pixels)
float64
...
long_name :
Error due to orbital perturbations
units :
m
[700557 values with dtype=float64]
Conventions :
CF-1.7
title :
Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave
institution :
CNES/JPL
source :
Simulate product
history :
2021-09-10 10:37:35Z : Creation
platform :
SWOT
product_version :
1.1.0.dev33
references :
Gaultier, L., C. Ubelmann, and L.-L. Fu, 2016: The Challenge of Using Future SWOT Data for Oceanic Field Reconstruction. J. Atmos. Oceanic Technol., 33, 119-126, doi:10.1175/jtech-d-15-0160.1. http://dx.doi.org/10.1175/JTECH-D-15-0160.1.