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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Spatially gridded cross-shelf hydrographic sections and monthly climatologies from shipboard survey data collected along the Newport Hydrographic Line, 1997-2021

Authors: Craig Risien; Melanie Fewings; Jennifer Fisher; Jay Peterson; Cheryl Morgan; William Peterson;

Spatially gridded cross-shelf hydrographic sections and monthly climatologies from shipboard survey data collected along the Newport Hydrographic Line, 1997-2021

Abstract

This data set, described in detail in Risien et al. (2022), contains Newport Hydrographic Line station data; gridded, cross-shelf hydrographic sections; and derived monthly climatologies for temperature, practical salinity, potential density, spiciness, and dissolved oxygen. It consists of CSV (Comma Separated Values) files (newport_hydrographic_line_station_data.zip) that contain CTD observations collected at the seven hydrographic stations located 1, 3, 5, 10, 15, 20 and 25 nautical miles west of Newport, Oregon between March 1997 and July 2021. Additionally, the data set contains three NetCDF files that follow CF (Climate and Forecast) metadata conventions: newport_hydrographic_line_gridded_sections.nc contains observations gridded to a 0.01o x 1 dbar longitude - pressure grid to create cross-shelf hydrographic sections for each of the five variables for each cruise. newport_hydrographic_line_gridded_section_climatologies.nc contains climatological hydrographic sections, calculated using harmonic analysis over the 24-year period March 1997 to February 2021 and reported here for the middle of each month, and newport_hydrographic_line_gridded_section_coefficients.nc contains the associated linear regression model coefficients for all five variables. From the regression coefficients, users can construct seasonal cycles at any location in the gridded section with a temporal resolution that best suits their specific needs. Finally, this data set includes example MATLAB and R scripts that show how to read the data files, plot cross-shelf hydrographic sections, and calculate daily and monthly climatologies using the regression coefficients.

We would like to thank the members of the NHL long term observation program who collected data over the years, especially Leah Feinberg, Julie Keister, Jennifer Menkel, Tracy Shaw, and Samantha Zeman. This work was supported by the NOAA-Fisheries and the Environment Program (FATE), the NOAA-National Marine Fisheries Service Stock Assessment Improvement Program (SAIP), the NOAA-Fisheries Biological Opinion (BiOp), the Global Ocean Ecosystems Dynamics Program (GLOBEC), the Comparative Analysis of Marine Ecosystem Organization (CAMEO; NA09NMF4720182), the Bonneville Power Administration (BPA; 1998-014-00), and NOAA's Climate Program Office, Climate Monitoring Program grant NA17OAR4310154.

Keywords

newport hydrographic line, practical salinity, seawater temperature, dissolved oxygen, potential density, climatology, oregon, california current, spiciness

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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