Fluorometric CDOM Concentration is a measure of how much light has been re-emitted (fluoresced) from colored organic compounds found in the colored dissolved organic matter (CDOM) in seawater. Examples of CDOM include tannins (polyphenols that bind to proteins and other large molecules) or lignins (polymers of phenolic acids) from decaying plant material and byproducts from the decomposition of animals. It accounts for the tea-like color in seawater. CDOM is not particulate, but seawater can contain both CDOM and turbidity.
coordinates :
lat depth lon time
data_product_identifier :
CDOMFLO_L1
long_name :
CDOM Concentration
precision :
6
units :
ppb
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
fluorometric_cdom_qc_executed
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
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196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
fluorometric_cdom_qc_results
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
fluorometric_chlorophyll_a
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
ancillary_variables :
raw_signal_chl
comment :
Fluorometric Chlorophyll-a Concentration is an estimate of phytoplankton biomass using fluorescence. The fluorometer emits light at a specific wavelength that is absorbed by chlorophyll and re-emitted as light at a different wavelength. By measuring the intensity of the re-emitted wavelength of light the chlorophyll-a concentration in the surrounding seawater can be estimated. Chlorophyll-a concentrations can be used as a proxy for phytoplankton biomass as it is a dominant photosynthetic pigment.
coordinates :
lat depth lon time
data_product_identifier :
CHLAFLO_L1
long_name :
Chlorophyll-a Concentration
precision :
6
standard_name :
mass_concentration_of_chlorophyll_a_in_sea_water
units :
µg L-1
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
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196 Tasks
195 Chunks
Type
float64
numpy.ndarray
fluorometric_chlorophyll_a_qc_executed
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
fluorometric_chlorophyll_a_qc_results
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
ingestion_timestamp
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
The NTP Timestamp for when the granule was ingested
coordinates :
lat depth lon time
long_name :
Ingestion Timestamp, UTC
units :
seconds since 1900-01-01
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
int_ctd_pressure
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.
coordinates :
lat depth lon time
data_product_identifier :
PRESWAT_L1
long_name :
Seawater Pressure
standard_name :
sea_water_pressure
units :
dbar
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
internal_timestamp
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Internal timestamp, UTC
coordinates :
lat depth lon time
long_name :
Internal Timestamp, UTC
units :
seconds since 1900-01-01
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
measurement_wavelength_beta
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Wavelength used by sensor for its scattering measurement.
coordinates :
lat depth lon time
long_name :
Measurement Wavelength, Scattering
units :
nm
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
measurement_wavelength_cdom
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Wavelength used by sensor for its cdom measurement.
coordinates :
lat depth lon time
long_name :
Measurement Wavelength, CDOM
units :
nm
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
measurement_wavelength_chl
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Wavelength used by sensor for its chlorophyll measurement .
Optical Backscatter (Red Wavelengths) is a measure of the amount of red light (630-740 nm wavelengths) scattered in the backward direction due to suspended matter within seawater, providing a proxy for turbidity and suspended solids.
coordinates :
lat depth lon time
data_product_identifier :
FLUBSCT_L2
long_name :
Optical Backscatter
precision :
4
units :
m-1
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
optical_backscatter_qc_executed
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
optical_backscatter_qc_results
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
port_timestamp
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Port timestamp, UTC
coordinates :
lat depth lon time
long_name :
Port Timestamp, UTC
units :
seconds since 1900-01-01
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
practical_salinity
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Salinity is generally defined as the concentration of dissolved salt in a parcel of seawater. Practical Salinity is a more specific unitless quantity calculated from the conductivity of seawater and adjusted for temperature and pressure. It is approximately equivalent to Absolute Salinity (the mass fraction of dissolved salt in seawater) but they are not interchangeable.
coordinates :
lat depth lon time
data_product_identifier :
PRACSAL_L2
instrument :
CE09OSPM-WFP01-03-CTDPFK000
long_name :
Practical Salinity
precision :
4
standard_name :
sea_water_practical_salinity
stream :
ctdpf_ckl_wfp_instrument_recovered
units :
1
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
raw_internal_temp
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Raw internal instrument thermistor signal output.
coordinates :
lat depth lon time
long_name :
Raw Internal Temperature
units :
counts
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
raw_signal_beta
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Optical backscatter unprocessed measurement output from the sensor.
coordinates :
lat depth lon time
data_product_identifier :
FLUBSCT_L0
long_name :
Optical Backscatter Measurement
units :
counts
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
raw_signal_cdom
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Fluorometric CDOM unprocessed measurement output from the sensor.
coordinates :
lat depth lon time
data_product_identifier :
CDOMFLO_L0
long_name :
CDOM Measurement
units :
counts
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
raw_signal_chl
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Fluorometric chlorophyll-a unprocessed measurement output from the sensor.
coordinates :
lat depth lon time
data_product_identifier :
CHLAFLO_L0
long_name :
Chlorophyll-a Measurement
units :
counts
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
seawater_scattering_coefficient
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
ancillary_variables :
ctdpf_ckl_seawater_temperature practical_salinity
comment :
Total scattering coefficient of pure seawater.
coordinates :
lat depth lon time
long_name :
Total Scattering Coefficient of Pure Seawater
precision :
4
units :
m-1
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
suspect_timestamp
(time)
float32
dask.array<chunksize=(19122,), meta=np.ndarray>
comment :
Flag indicating a potential inaccuracy in the timestamp. No - 0, Yes - 1
coordinates :
lat depth lon time
long_name :
Suspect Timestamp
precision :
0
units :
1
Array
Chunk
Bytes
14.88 MB
76.49 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float32
numpy.ndarray
total_volume_scattering_coefficient
(time)
float64
dask.array<chunksize=(19122,), meta=np.ndarray>
ancillary_variables :
raw_signal_beta
comment :
Total Volume Scattering Coefficient values represent the volume scattering from particles and the molecular scattering from water at a given wavelength of light and the default angle of 117 degrees for the ECO meter.
coordinates :
lat depth lon time
data_product_identifier :
FLUBSCT_L1
long_name :
Total Volume Scattering Coefficient
precision :
6
units :
m-1 sr-1
Array
Chunk
Bytes
29.76 MB
152.98 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
float64
numpy.ndarray
total_volume_scattering_coefficient_qc_executed
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
total_volume_scattering_coefficient_qc_results
(time)
uint8
dask.array<chunksize=(19122,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
3.72 MB
19.12 kB
Shape
(3719914,)
(19122,)
Count
196 Tasks
195 Chunks
Type
uint8
numpy.ndarray
Conventions :
CF-1.6
Metadata_Conventions :
Unidata Dataset Discovery v1.0
Notes :
This netCDF product is a copy of the data on the University of Washington AWS Cloud Infrastructure.
Owner :
University of Washington Cabled Array Value Add Team.
cdm_data_type :
Point
collection_method :
recovered_wfp
comment :
Some of the metadata of this dataset has been modified to be CF-1.6 compliant.
creator_name :
Ocean Observatories Initiative
creator_url :
http://oceanobservatories.org/
date_created :
2020-11-25T09:58:51.234961
date_downloaded :
2020-11-25T09:58:24.812860
date_modified :
2020-11-25T09:58:51.234967
date_processed :
2020-11-25T10:11:07.893368
featureType :
point
geospatial_lat_max :
46.85173
geospatial_lat_min :
46.85173
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.97145
geospatial_lon_min :
-124.97145
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-25T09:58:51.234862 generated from Stream Engine