Summary:
Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters.  Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited.  Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys.  We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
platform_meta (Platform Metadata, 1)
... (36 more variables)

University of Alaska Fairbanks, College of Fisheries and Ocean Sciences


Summary:
The purpose of this glider mission is to do along canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island.  This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
... (45 more variables)


Summary:
Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters.  Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited.  Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys.  We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014, 11 July – 8 September 2015, and from 10 July - 4 october 2016. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
platform_meta (Platform Metadata, 1)
... (36 more variables)


Summary:
UAF G191 Glider deployment in the North Pacific Ocean

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude)
lon_uv (Depth-averaged Longitude)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degree_north)
precise_lon (Precise Longitude, degree_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, bar)
qartod_conductivity_flat_line_flag (QARTOD Flat Line Test for sea_water_electrical_conductivity, 1)
qartod_conductivity_gross_range_flag (QARTOD Gross Range Test for sea_water_electrical_conductivity, 1)
qartod_conductivity_primary_flag (QARTOD Primary Flag for sea_water_electrical_conductivity, 1)
qartod_conductivity_rate_of_change_flag (QARTOD Rate of Change Test for sea_water_electrical_conductivity, 1)
qartod_conductivity_spike_flag (QARTOD Spike Test for sea_water_electrical_conductivity, 1)
qartod_density_flat_line_flag (QARTOD Flat Line Test for sea_water_density, 1)
qartod_density_gross_range_flag (QARTOD Gross Range Test for sea_water_density, 1)
qartod_density_primary_flag (QARTOD Primary Flag for sea_water_density, 1)
qartod_density_rate_of_change_flag (QARTOD Rate of Change Test for sea_water_density, 1)
... (24 more variables)

The University of Alaska Fairbanks College of Fisheries and Ocean Science


Summary:
UAF G191 Glider deployment in the North Pacific Ocean (March 2021)

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
c_wpt_lat (lat)
c_wpt_lon (lon)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_altimeter
instrument_altitude
instrument_ctd (CTD Metadata, 1)
instrument_dissolved_oxygen
instrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)
instrument_gps
instrument_irradiance
instrument_radiance
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
m_altitude
m_ballast_pumped (cc)
m_battery (volts)
m_battpos (in)
m_coulomb_amphr_total (amp-hrs)
... (51 more variables)


Summary:
UAF G191 Glider deployment in the North Pacific Ocean (April 2021)

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
c_wpt_lat (lat)
c_wpt_lon (lon)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_altimeter
instrument_altitude
instrument_ctd (CTD Metadata, 1)
instrument_dissolved_oxygen
instrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)
instrument_gps
instrument_irradiance
instrument_radiance
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
m_altitude
m_ballast_pumped (cc)
m_battery (volts)
m_battpos (in)
m_coulomb_amphr_total (amp-hrs)
... (51 more variables)


Summary:
UAF G191 Glider deployment in the North Pacific Ocean (May 2022)

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
c_wpt_lat (lat)
c_wpt_lon (lon)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_altimeter
instrument_altitude
instrument_ctd (CTD Metadata, 1)
instrument_dissolved_oxygen
instrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)
instrument_gps
instrument_irradiance
instrument_radiance
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
m_altitude
m_ballast_pumped (cc)
m_battery (volts)
m_battpos (in)
m_coulomb_amphr_total (amp-hrs)
... (52 more variables)


Summary:
This dataset contains measurements of temperature, conductivity, salinity, density, chlorophyll-a and CDOM fluorescence, Photosynthetically Active Radiation (PAR), Dissolved Oxygen and reception time and location from 180 kHz transmitters collected from a Teledyne Slocum autonomous underwater glider dataset gathered by University of Alaska Fairbanks as part of the Alaska Region Glider Missions Supporting an Ecosystem Approach to Fisheries Management project, funded by NOAA through the Integrated Ocean Observing System (IOOS) and the Alaska Ocean Observing System. The North Pacific Fisheries Management Council (NPFMC) establishes Alaska as a world leader in the Ecosystem Approach to Fisheries Management (EAFM) for maintaining sustainable fisheries (Zador et al., 2017). EAFM requires deep understanding of commercially and non-commercially important species’ biology, population status, and trends in addition to a holistic understanding of environmental drivers, trophic linkages, and many subtle complexities of ecosystem dynamics. A successful implementation of EAFM is based on timely information that guides an informed approach to setting fisheries harvest levels in the context of environmental conditions. Lack of timely ecosystem data is identified as a critical gap in the EAFM process. The purpose of this project is to apply gliders to the task of developing near-real-time indices of key physical and biological parameters that will inform the NPFMC decision-making process, and other marine and fisheries management related research activities.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
c_wpt_lat (lat)
c_wpt_lon (lon)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
... (68 more variables)


Wind Speed, monthly means, AFSC management regions

Summary:
Timeseries of monthly sea surface temperature means for AFSC management regions generated from the NOAA/NCDC Blended Monthly Global Sea Surface Winds product. AFSC management regions are defined as:  North Bering Sea - Waters in the Bering Sea north of 58 N latitude;  South Bering Sea - Waters in the Bering Sea south of 58 N latitude;  Western Aleutians - Waters between 177 E and the limits of EEZ on east from south of 55 N to the EEZ that is south of the Aleutians Islands;  Central Aleutians - Waters between 177 W and 177 E from south of 55 N to the EEZ that is south of the Aleutians Islands;  Eastern Aleutians - Waters between 170 W and 177 W from south of 55 N to the EEZ that is south of the Aleutians Islands;  Western Gulf of Alaska - Waters between 159 W and 170 W from the Alaskan coast to the EEZ;  Central Gulf of Alaska - Waters between 147 W and 159 W from the Alaskan coast to the EEZ;  Eastern Gulf of Alaska - Waters between 132.667 W and 147 W from the Alaskan coast to the EEZ.

cdm_data_type = Other
VARIABLES:
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
north_bering_wind (Wind Speed, North Bering Sea, m s-1)
south_bering_wind (Wind Speed, South Bering Sea, m s-1)
west_aleutians_wind (Wind Speed, West Aleutians, m s-1)
central_aleutians_wind (Wind Speed, Central Aleutians, m s-1)
east_aleutians_wind (Wind Speed, East Aleutians, m s-1)
west_gulf_wind (Wind Speed, West Gulf of Alaska, m s-1)
central_gulf_wind (Wind Speed, Central Gulf of Alaska, m s-1)
east_gulf_wind (Wind Speed, East Gulf of Alaska, m s-1)
north_bering_wind_stdev (Standard Deviation, North Bering Sea, m s-1)
south_bering_wind_stdev (Standard Deviation, South Bering Sea, m s-1)
west_aleutian_wind_stdev (Standard Deviation, West Aleutians, m s-1)
central_aleutian_wind_stdev (Standard Deviation, Central Aleutians, m s-1)
east_aleutians_wind_stdev (Standard Deviation, East Aleutians, m s-1)
west_gulf_wind_stdev (Standard Deviation, West Gulf of Alaska, m s-1)
central_gulf_wind_stdev (Standard Deviation, Central Gulf of Alaska, m s-1)
east_gulf_wind_stdev (Standard Deviation, East Gulf of Alaska, m s-1)
... (8 more variables)

NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node


X- Experimental Sea ice drift data derived from the buoy data from the IABP, Daily Arctic

Summary:
The sea ice drift dataset is derived daily from drifting buoys deployed on sea ice as part of the International Arctic Buoy Program (IABP).  It provides essential measurements of sea ice movement, including daily drift distance and direction.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
buoy_id
latitude (degrees_north)
longitude (degrees_east)
x (Easting of Pixel Centers, meter)
y (Northing of Pixel Centers, meter)
dx (horizontal (x-axis) component of the displacement, meter)
dy (vertical (y-axis) component of the displacement, meter)
distance (The great-circle distance: The measure of displacement on the shortest path between two geographic points along the Earth's surface, meter)
fwd_azimuth (angle or direction from the start position to the end position of buoy, measured clockwise from true north, degree)