| Contributors | Affiliation | Role |
|---|---|---|
| He, Ruoying | North Carolina State University - Marine, Earth and Atmospheric Sciences (NCSU MEAS) | Chief Scientist |
| Young, Craig M. | University of Oregon | Co-Chief Scientist |
| Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This alongtrack data set contains information on environmental conditions for each day of the RV/Endeavor cruise EN531.
Start: Depart Morehead City, NC 08/15/2013
End: Arrive Morehead City, NC 08/18/2013
Further information on the instruments is available at: http://www.rvdata.us/catalog/EN531
| File |
|---|
EN531_underway.csv (Comma Separated Values (.csv), 1.43 MB) MD5:03a7b4aa53133bce299c71fdb624fba2 Primary data file for dataset ID 537062 |
| Parameter | Description | Units |
| date | date (UTC) | yyyy-mm-dd |
| month | month | 1:12 |
| day | day of month | 1:31 |
| year | year | YYYY |
| yrday_gmt | GMT day and decimal time; as 326.5 for the 326th day of the year or November 22 at 1200 hours (noon) | unitless |
| ISO_DateTime_UTC | Date/Time (UTC) ISO formatted | YYYY-MM-DDTHH:MM:SS[.xx]Z |
| time | time of day (UTC) | HH:MM:SS |
| lat | Latitude; south is negative | decimal degrees |
| lon | Longitude; west is negative | decimal degrees |
| temp_air | Air temperature | degrees Celsius |
| humidity | Relative humidity | percent |
| press_bar | Barometric pressure | millibars |
| sst_5m | Sea surface temperature at 5 meters | degrees Celsius |
| sst_1m | Sea surface temperature at 1 meter | degrees Celsius |
| radiation_l_2 | Longwave radiation | Watts/m^2 |
| radiation_s_2 | IMET shortwave radiation | Watts/m^2 |
| precip_curr_hr | Precipitation accumulation | mm |
| precip_last24 | Precipitation accumulation last 24 hours | mm |
| precip_rate | Precipitation rate | mm/hr |
| wind_speed_r_p | wind speed raw; from port | knots |
| wind_dir_r_p | wind direction raw; from port | degrees |
| wind_speed_c_p | wind speed corrected; from port | knots |
| wind_dir_c_p | wind direction corrected; from port | degrees |
| wind_speed_r_s | wind speed raw; from starboard | knots |
| wind_dir_r_s | wind direction raw; from starboard | degrees |
| wind_speed_c_s | wind speed corrected; from starboard | knots |
| wind_dir_c_s | wind direction corrected; from starboard | degrees |
| head1 | heading | degrees |
| sog | GPS speed over ground | knots |
| flvolt | fluorometer from Turner inst. | volts |
| sal_sbe21 | salinity from SBE21 | PSU |
| temp_ss_tsal | sea surface temperature used in salinity calculation | degrees Celsius |
| temp_ss | sea surface temperature | degrees Celsius |
| cond_ss | sea surface conductivity | Siemans/meter |
| sal_ss | sea surface salinity | PSU |
| Dataset-specific Instrument Name | GPS |
| Generic Instrument Name | Global Positioning System Receiver |
| Dataset-specific Description | Trimble differential GPS |
| Generic Instrument Description | The Global Positioning System (GPS) is a U.S. space-based radionavigation system that provides reliable positioning, navigation, and timing services to civilian users on a continuous worldwide basis. The U.S. Air Force develops, maintains, and operates the space and control segments of the NAVSTAR GPS transmitter system. Ships use a variety of receivers (e.g. Trimble and Ashtech) to interpret the GPS signal and determine accurate latitude and longitude. |
| Dataset-specific Instrument Name | Gyro |
| Generic Instrument Name | Gyro |
| Generic Instrument Description | Compass with a motorized gyroscope that tracks true north (heading). |
| Dataset-specific Instrument Name | SeaBird SBE-21 |
| Generic Instrument Name | Sea-Bird SeaCAT Thermosalinograph SBE 21 |
| Generic Instrument Description | A platinum-electrode conductivity sensor and a thermistor mounted in a corrosion-resistant plastic and titanium housing designed to be continuously plumbed into a vessel's pumped seawater supply. The instrument may be interfaced to a remote SBE 38 temperature sensor mounted either on the hull or in the seawater inlet. Data are both stored in internal memory and output to a serial port for external logging. Conductivity is measured in the range 0-7 S/m with an accuracy of 0.001 S/m and a resolution of 0.0001 S/m. Housing temperature is measured in the range -5-35C with an accuracy of 0.01 C and a resolution of 0.001 C. Remote temperature is measured in the range -5-35C with an accuracy of 0.001 C and a resolution of 0.0003 C. More information at http://www.seabird.com/products/spec_sheets/21data.htm. |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Weather Transmitter |
| Generic Instrument Description | The ship-mounted Vaisala Weather Transmitter WXT520 measures: Wind speed and direction; Liquid precipitation: rainfall, duration, intensity; Barometric pressure; Air temperature and Relative humidity. (for more information see http://www.vaisala.com/en/products/multiweathersensors/Pages/WXT520.aspx) |
| Website | |
| Platform | R/V Endeavor |
| Report | |
| Start Date | 2013-08-15 |
| End Date | 2013-08-18 |
| Description | SEEPC project cruise. Cruise information and original data are available from the NSF R2R data catalog. |
This project will evaluate connectivity on spatial scales that match those at which vent systems are being studied (3500 km), with a set of nested seeps (within the Barbados system) within which connectivity can be explored at more local spatial scales (30 to 130 km), and with species that span depth (600 m to 3600 m) and geographic ranges (30 km to 3500 km) and that have diverse life-history characteristics. Five deep-sea seep systems in the Intra- American Sea (IAS) are targeted: Blake Ridge, Florida Escarpment, Alaminos Canyon, Brine Pool, Barbados (El Pilar, Orenoque A, Orenoque B). The primary objective is to advance our general knowledge of connectivity in the deep sea. The focus is on species and processes occurring in the IAS, with attention to oceanographic circulation, life histories, and genetics. Questions that apply in shallow-water systems motivate this study:
1. What phylogeographic breaks occur in the system? It is important to distinguish between phylogeographic history and connectivity. A phylogeographic break with no shared alleles between populations implies a long history of isolation or possibly cryptic speciation.
2. Are populations connected by ongoing migration? This is the fundamental question about connectivity and the scale of genetic variation in marine species with planktonic larvae.
3. What biophysical processes underlie observed connectivities? Biological processes (e.g., larval distributions in the water column, timing of reproduction, and planktonic larval duration) and physical processes of transport and dispersion interact to determine connectivity.
The oceanographic model for the IAS will be improved and coupled to a Lagrangian larval transport model. The field program includes time-series sampling of larvae at seeps with records of current velocities, water column sampling to determine larval distribution potential, shipboard studies of larval biology and behavior, and sampling of benthic target species. Phylogenetic and population genetic tools will be used to explore historical and contemporary gene flow. Iterative interactions among the science teams will advance our understanding of connectivity in the deep sea and to develop effective and best methods for hypothesis testing under the constraints of working in a relatively inaccessible environment. Since their discovery, deep-sea chemosynthetic ecosystems have been novel systems within which to test the generality of paradigms developed for shallow-water species. This study will explore scale-dependent biodiversity and recruitment dynamics in deep-sea seep communities, and will identify key factors underlying population persistence and maintenance of biodiversity in these patchy systems.
Google Earth map showing positions of stations, CTD, XBT, multibeam locations (KMZ file dlownload)
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |