Contributors | Affiliation | Role |
---|---|---|
Kohut, Joshua | State University of New Jersey | Principal Investigator |
Statscewich, Hank | University of Alaska Fairbanks (UAF) | Co-Principal Investigator |
Hudson, Katherine | University of Delaware | Contact |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Wind data were collected in 1 minute intervals at two weather stations on the Joubin and Wauwerman Islands on the west and east flanks of Palmer Deep Canyon. Data were sampled at 1 minute intervals.
Data were averaged hourly to produce an hourly timeseries of wind speeds to match High Frequency Radar sampling intervals.
File |
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winds.csv (Comma Separated Values (.csv), 27.53 MB) MD5:5a71d18638948625f73fff83b3b7aa41 Primary data file for dataset ID 865098 |
Parameter | Description | Units |
site | Site where data was collected. Joub = Joubin Island; Wauw = Wauwerman Islands | unitless |
latitude | latitude of site in decimal degrees | decinal degrees |
longitude | longitude of site in decimal degrees | decinal degrees |
Sample_DateTime | Date and time (UTC) | unitless |
datetime | Same as column 2 | unitless |
yr | Year of sample | unitless |
month | Month of sample | unitless |
day | Date of sample | unitless |
hr | Hour of sample | unitless |
Unit_Id | The location of the weather station: BASE = a ridge behind station; AWS1 = Wauwerman Islands Lat: -64.918 deg Long: -64.049 deg; AWS2 = Joubin Island #1 Lat: -64.786987 deg Long: -64.360658; AWS3 = Gossler Island #412 Lat: -64.712916 Long: -64.348396 | units |
WS_Avg_2min | Wind speed, 2 min average | m/sec |
WD_Avg_2min | Wind direction for 2 min average | unitless |
WGS_10min | Wind gust speed, 10 min | m/sec |
WGD_10min | Wind gust direction | unitless |
Air_Temp | Air temperature (Rotronic, HC2S3, Hygroclip 2 Temp/RH)) | degrees Celsius (°C) |
Rel_Humidity | Relative humidity (Rotronic, HC2S3, Hygroclip 2 Temp/RH) | percent (%) |
Dew_Point | Dew point, calculated from temp and RH | degrees Celsius (°C) |
Pyranometer | Solar irradiance (Licor, LI-200R) | W/m^2 |
Quantum | Photosynthetically active radiation (Licor, LI-190) | uMol/sec/m^2 |
Air_Pressure | Atmospheric pressure (Honeywell, HPA200) | mbar (millibar) |
Snow_Level | No sensor installed | unitless |
Rainfall | Melted precipitation. Mesotech MT-PA01D 8" heated tipping rain bucket. Measures rainfall and melted snow/sleet. Each tip of the bucket corresponds to 0.254mm of precipitation. | mm (millimeters) |
PW_Current | Present weather | unitless |
Visibility | Visibility (Optical Scientific, Inc. OWI-430 WIVIS), maximum reange is 10km | m (meters) |
CBase_1 | Cloudbase, lower level. Mesotech ceilometer, CBME80. This device measures cloud height using LIDAR. A pulsedlight beam is directed vertically and the return signal is detected. Depending on the nature of that return, distinct cloud layers may be detected: lower, middle and upper. If there is no distinct return (due to fog, for instance), vertical visibility is reported. | feet |
CBase_2 | Cloudbase, middle level | feet |
CBase_3 | Cloudbase, upper level | feet |
Vert_Vis | Vertical visibility | feet |
Dataset-specific Instrument Name | RM Young, Model 05108-45 |
Generic Instrument Name | Anemometer |
Dataset-specific Description | RM Young, Model 05108-45
|
Generic Instrument Description | An anemometer is a device for measuring the velocity or the pressure of the wind. It is commonly used to measure wind speed. Aboard research vessels, it is often mounted with other meteorological instruments and sensors. |
Dataset-specific Instrument Name | Mesotech ceilometer, CBME80 |
Generic Instrument Name | cloud cover quantifiers |
Dataset-specific Description | his device measures cloud height using LIDAR. A pulsed light beam is directed vertically and the return signal is detected. Depending on the nature of that return, distinct cloud layers may be detected: lower, middle and upper. If there is no distinct return (due to fog, for instance), vertical visibility is reported. |
Generic Instrument Description | Instruments that measure the proportion of the sky covered by cloud (cloud amount) and/or the height of the cloud above the ground (cloud base). Also called ceilometers. |
Dataset-specific Instrument Name | Licor, LI-190 |
Generic Instrument Name | LI-COR LI-190SA PAR Sensor |
Generic Instrument Description | The LI-190SA Quantum Sensor is used to accurately measure (non-aquatic) Photosynthetically Active Radiation (PAR) in the range of 400-700 nm. Colored glass filters are used to tailor the silicon photodiode response to the desired quantum response. The LI-190SA is also used as a reference sensor for comparison to underwater PAR measured by the LI-192SA or LI-193 Underwater Quantum Sensors. |
Dataset-specific Instrument Name | Licor, LI-200R |
Generic Instrument Name | LI-COR LI-200R Pyranometer |
Dataset-specific Description | "Solar irradiance (Licor, LI-200R) |
Generic Instrument Description | The LI-200R Pyranometer measures global solar radiation (the combination of direct and diffuse solar radiation) in the 400 to 1100 nanometer (nm) wavelength range. Measurement units are in watts per square meter (W m-2). It is used for applications in agricultural, meteorological, solar energy, and environmental research. The LI-200R measures global solar radiation with an unfiltered silicon photodiode. The crown of the sensor rapidly sheds water, and also physically blocks light from outside the hemisphere of sensitivity, providing a precise cosine response. Its sensitivity is typically 75 uA per 1000 W m-2. It has a maximum deviation of 1% up to 3000 W m-2. Its stability is < +/- 2% change over a 1-year period. It has an operating temperature range of -40 to +65 degrees Celsius. |
Dataset-specific Instrument Name | Optical Scientific, Inc. OWI-430 WIVIS |
Generic Instrument Name | OSi OWI-430 DSP-WIVIS Present Weather and Visibility Sensor |
Dataset-specific Description | Optical Scientific, Inc. OWI-430 WIVIS |
Generic Instrument Description | The Osi OWI-430 WIVIS is an optical weather and visibility sensor that measures visibility, rain, snow, drizzle, freezing and mixed precipitation conditions. It measures rain in dynamic range 0.1 to 3000 mm/hr; snow in dynamic range 0.01 to 300 mm/hr; visibility in dynamic range 0.001 to 10 km. It is designed to operate in temperatures from -40 to 50 degC, and humidity from 0 to 100 percent. |
Dataset-specific Instrument Name | Mesotech, MT-PA01D 8" heated, tipping rain bucket |
Generic Instrument Name | Precipitation Gauge |
Dataset-specific Description | Mesotech, MT-PA01D 8" heated, tipping rain bucket. Measures rainfall and melted snow/sleet. Each tip of the bucket corresponds to 0.254mm of precipitation. |
Generic Instrument Description | measures rain or snow precipitation |
Dataset-specific Instrument Name | Honeywell, HPA200 |
Generic Instrument Name | Pressure Sensor |
Dataset-specific Description | Air pressure |
Generic Instrument Description | A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available. |
Dataset-specific Instrument Name | Rotronic, HC2S3, Hygroclip 2 |
Generic Instrument Name | Rotronics Temperature and Humidity Probe |
Dataset-specific Description | Air temperature and relative humidity measured by Rotronic, HC2S3, Hygroclip 2 |
Generic Instrument Description | Rotronics device used to measure air temperature |
NSF Award Abstract:
Undersea canyons play disproportionately important roles as oceanic biological hotspots and are critical for our understanding of many coastal ecosystems. Canyon-associated biological hotspots have persisted for thousands of years Along the Western Antarctic Peninsula, despite significant climate variability. Observations of currents over Palmer Deep canyon, a representative hotspot along the Western Antarctic Peninsula, indicate that surface phytoplankton blooms enter and exit the local hotspot on scales of ~1-2 days. This time of residence is in conflict with the prevailing idea that canyon associated hotspots are primarily maintained by phytoplankton that are locally grown in association with these features by the upwelling of deep waters rich with nutrients that fuel the phytoplankton growth. Instead, the implication is that horizontal ocean circulation is likely more important to maintaining these biological hotspots than local upwelling through its physical concentrating effects. This project seeks to better resolve the factors that create and maintain focused areas of biological activity at canyons along the Western Antarctic Peninsula and create local foraging areas for marine mammals and birds. The project focus is in the analysis of the ocean transport and concentration mechanisms that sustain these biological hotspots, connecting oceanography to phytoplankton and krill, up through the food web to one of the resident predators, penguins. In addition, the research will engage with teachers from school districts serving underrepresented and underserved students by integrating the instructors and their students completely with the science team. Students will conduct their own research with the same data over the same time as researchers on the project. Revealing the fundamental mechanisms that sustain these known hotspots will significantly advance our understanding of the observed connection between submarine canyons and persistent penguin population hotspots over ecological time, and provide a new model for how Antarctic hotspots function.
To understand the physical mechanisms that support persistent hotspots along the Western Antarctic Peninsula (WAP), this project will integrate a modeling and field program that will target the processes responsible for transporting and concentrating phytoplankton and krill biomass to known penguin foraging locations. Within the Palmer Deep canyon, a representative hotspot, the team will deploy a High Frequency Radar (HFR) coastal surface current mapping network, uniquely equipped to identify the eddies and frontal regions that concentrate phytoplankton and krill. The field program, centered on surface features identified by the HFR, will include (i) a coordinated fleet of gliders to survey hydrography, chlorophyll fluorescence, optical backscatter, and active acoustics at the scale of the targeted convergent features; (ii) precise penguin tracking with GPS-linked satellite telemetry and time-depth recorders (TDRs); (iii) and weekly small boat surveys that adaptively target and track convergent features to measure phytoplankton, krill, and hydrography. A high resolution physical model will generalize our field measurements to other known hotspots along the WAP through simulation and determine which physical mechanisms lead to the maintenance of these hotspots. The project will also engage educators, students, and members of the general public in Antarctic research and data analysis with an education program that will advance teaching and learning as well as broadening participation of under-represented groups. This engagement includes professional development workshops, live connections to the public and classrooms, student research symposia, and program evaluation. Together the integrated research and engagement will advance our understanding of the role regional transport pathways and local depth dependent concentrating physical mechanisms play in sustaining these biological hotspots.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.