NEFSC aj9902Entry ID: seamap300
Abstract: The survey was conducted on the R/V ABEL-J from 28 July to 31 August 1999. It started and returned in Woods Hole, MA. The southern border of the study area was Muscungus Bay, Maine, the northern border was north of Grand Manan Island, Nova Scotia, and the eastern border was Liverpool, Nova Scotia.
Purpose: Primary objectives of the survey were: (1) determine the spatial distribution and abundance of harbor porpoises, (2) determine the spatial distribution and abundance of other strategic species, such as white-sided dolphins, minke whales, fin whales, humpback whales and right whales. Secondary objectives were: (1) to investigate if a porpoise acoustic detection system, developed by the ... International Friends for Animal Welfare (IFAW), can passively detect the location of porpoises, which then can be used to improve the abundance estimate of the harbor porpoises, (2) to compare the distribution and abundance of cetaceans with water depth, temperature, salinity, zooplankton and phytoplankton distribution, (3) obtain biopsy samples of cetaceans.
SUPPLEMENTAL INFORMATION: In addition to the sighting data, effort data was recorded every half hour or whenever conditions change. This dataset, therefore, should be used with the effort data.
CURRENTNESS REFERENCE: ground condition
SPATIAL DATA ORGANIZATION INFORMATION
Direct Spatial Reference: Vector
SDTS Point and Vector Object Type: Entity point
Point and Vector Object Count: 1091
SPATIAL REFERENCE INFORMATION - GEODETIC MODEL
Horizontal Datum Name: D_WGS_1984
Ellipsoid Name: WGS_1984
Semi-major Axis: 6378137.000000
Denominator of Flattening Ratio: 298.257224
NATIVE: Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 18.104.22.1680
Data Set Citation
Dataset Originator/Creator: NOAA Northeast Fisheries Science Center (NEFSC)
Dataset Title: NEFSC aj9902
Dataset Series Name: OBIS-SEAMAP
Dataset Release Date: 2005-08-17 19:26:03.501445-04
Dataset Release Place: http://seamap.env.duke.edu/
Dataset Publisher: OBIS-SEAMAP
Data Presentation Form: vector digital data
This data set description is a member of a collection. The collection is described in
Start Date: 1999-07-29Stop Date: 1999-08-27
Latitude Resolution: 0.000167 Decimal degrees
Longitude Resolution: 0.000167 Decimal degrees
Horizontal Resolution Range: 1 meter - < 30 meters
Quality HORIZONTAL POSITIONAL ACCURACY REPORT: The latitude and longitude of the sighting was determined subsequently using an algorithm which dead reckonings between positions recorded on the effort data form.
VERTICAL POSITIONAL ACCURACY REPORT: The latitude and longitude of the sighting was determined subsequently using an algorithm which dead reckonings between positions recorded on the effort data form.
Access Constraints ACCESS CONSTRAINTS: Open public unless otherwise noted.
DISTRIBUTION LIABILITY: Not to hold OBIS-SEAMAP liable for errors in the data. While we have made every effort to ensure the quality of the database, we cannot guarantee the accuracy of these datasets. Also please refer to Use Constraints.
Use Constraints 1. Not to use data contained in OBIS-SEAMAP in any publication, product, or commercial application without prior written consent of the original data provider. 2. To cite both the data provider and OBIS-SEAMAP appropriately after approval of use is obtained. 3. Not to hold OBIS-SEAMAP liable for errors in the data. While we have made every effort to ensure the quality of the database, we cannot guarantee the accuracy of these datasets.
Data Set Progress
Distribution Size: 0.339
Role: TECHNICAL CONTACT
Role: DIF AUTHOR
Email: efujioka at duke.edu
LSRC A321 Box 90328
Province or State: NC
Postal Code: 27708
Role: TECHNICAL CONTACT
Email: dpalka at whsun1.wh.whoi.edu, Debra.Palka at noaa.gov
NMFS NORTHEAST FISHERIES SCIENCE CENTER 166 Water St.
City: Woods Hole
Province or State: MA
Postal Code: 02543
* Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina, 1996: Data assimilation using incremental analysis updates. Mon. Wea. Rev., 124, 1256-1271.
* Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu, 2005: Documentation and Validation ... of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4. Technical Report Series on Global Modeling and Data Assimilation 104606, v26.
* Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva, 2005: Design and implementation of components in the Earth System Modeling Framework. Int. J. High Perf. Comput. Appl., 19, 341-350, DOI: 10.1177/1094342005056120.
* Derber, J. C., R. J. Purser, W.-S. Wu, R. Treadon, M. Pondeca, D. Parrish, and D. Kleist, 2003: Flow-dependent Jb in a global grid-point 3D-Var. Proc. ECMWF annual seminar on recent developments in data assimilation for atmosphere and ocean. Reading, UK, 8-12 Sept. 2003.
* Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar, 2000: A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure. J. Geophys. Res., 105, 24809-24822.
* Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts, 2003a: Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances. Mon. Wea. Rev., 131, 1524-1535.\
* Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts, 2003b: Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances. Mon. Wea. Rev., 131, pp. 1536-1548.
* Wu, W.-S., R.J. Purser and D.F. Parrish, 2002: Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Wea. Rev., 130, 2905-2916.
Extended Metadata Properties
(Click to view more)
Creation and Review Dates
DIF Creation Date: 2007-06-14
Last DIF Revision Date: 2010-08-09