Spatially gridded cross-shelf hydrographic sections and monthly climatologies from shipboard survey data collected along the Newport Hydrographic Line, 1997-2021 Article Swipe
Craig M. Risien
,
Melanie R. Fewings
,
Jennifer L. Fisher
,
Jay Peterson
,
Cheryl A. Morgan
,
William T. Peterson
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5814070
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.5814070
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.
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Metadata
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- en
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- OA Status
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https://doi.org/10.5281/zenodo.5814070Digital Object Identifier
- Title
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Spatially gridded cross-shelf hydrographic sections and monthly climatologies from shipboard survey data collected along the Newport Hydrographic Line, 1997-2021Work title
- Type
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datasetOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
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2022-01-03Full publication date if available
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Craig M. Risien, Melanie R. Fewings, Jennifer L. Fisher, Jay Peterson, Cheryl A. Morgan, William T. PetersonList of authors in order
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https://doi.org/10.5281/zenodo.5814070Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.5814070Direct OA link when available
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Hydrography, Hydrographic survey, Oceanography, Environmental science, Climatology, Line (geometry), Geography, Meteorology, Geology, Mathematics, GeometryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.west | 65 |
| abstract_inverted_index.with | 175 |
| abstract_inverted_index.0.01o | 97 |
| abstract_inverted_index.2021. | 74 |
| abstract_inverted_index.March | 70, 132 |
| abstract_inverted_index.daily | 209 |
| abstract_inverted_index.data; | 16 |
| abstract_inverted_index.files | 42, 82 |
| abstract_inverted_index.miles | 64 |
| abstract_inverted_index.model | 153 |
| abstract_inverted_index.seven | 51 |
| abstract_inverted_index.suits | 181 |
| abstract_inverted_index.their | 182 |
| abstract_inverted_index.three | 80 |
| abstract_inverted_index.users | 163 |
| abstract_inverted_index.using | 125, 213 |
| abstract_inverted_index.(Comma | 39 |
| abstract_inverted_index.MATLAB | 191 |
| abstract_inverted_index.NetCDF | 81 |
| abstract_inverted_index.Oregon | 68 |
| abstract_inverted_index.Risien | 7 |
| abstract_inverted_index.create | 106 |
| abstract_inverted_index.cycles | 167 |
| abstract_inverted_index.detail | 5 |
| abstract_inverted_index.files, | 202 |
| abstract_inverted_index.follow | 84 |
| abstract_inverted_index.linear | 151 |
| abstract_inverted_index.middle | 142 |
| abstract_inverted_index.month, | 145 |
| abstract_inverted_index.needs. | 184 |
| abstract_inverted_index.period | 131 |
| abstract_inverted_index.(2022), | 10 |
| abstract_inverted_index.24-year | 130 |
| abstract_inverted_index.Newport | 12 |
| abstract_inverted_index.Values) | 41 |
| abstract_inverted_index.between | 69 |
| abstract_inverted_index.contain | 45 |
| abstract_inverted_index.cruise. | 118 |
| abstract_inverted_index.derived | 22 |
| abstract_inverted_index.example | 190 |
| abstract_inverted_index.gridded | 94, 173 |
| abstract_inverted_index.located | 54 |
| abstract_inverted_index.monthly | 23, 211 |
| abstract_inverted_index.oxygen. | 34 |
| abstract_inverted_index.scripts | 194 |
| abstract_inverted_index.section | 174 |
| abstract_inverted_index.station | 15 |
| abstract_inverted_index.(Climate | 86 |
| abstract_inverted_index.February | 135 |
| abstract_inverted_index.Finally, | 185 |
| abstract_inverted_index.Newport, | 67 |
| abstract_inverted_index.analysis | 127 |
| abstract_inverted_index.consists | 36 |
| abstract_inverted_index.contains | 11, 79, 92, 120, 148 |
| abstract_inverted_index.density, | 30 |
| abstract_inverted_index.gridded, | 17 |
| abstract_inverted_index.harmonic | 126 |
| abstract_inverted_index.includes | 189 |
| abstract_inverted_index.location | 170 |
| abstract_inverted_index.metadata | 89 |
| abstract_inverted_index.nautical | 63 |
| abstract_inverted_index.pressure | 103 |
| abstract_inverted_index.reported | 138 |
| abstract_inverted_index.seasonal | 166 |
| abstract_inverted_index.sections | 109 |
| abstract_inverted_index.specific | 183 |
| abstract_inverted_index.stations | 53 |
| abstract_inverted_index.temporal | 177 |
| abstract_inverted_index.Forecast) | 88 |
| abstract_inverted_index.Separated | 40 |
| abstract_inverted_index.calculate | 208 |
| abstract_inverted_index.collected | 48 |
| abstract_inverted_index.construct | 165 |
| abstract_inverted_index.described | 3 |
| abstract_inverted_index.dissolved | 33 |
| abstract_inverted_index.longitude | 101 |
| abstract_inverted_index.potential | 29 |
| abstract_inverted_index.practical | 27 |
| abstract_inverted_index.salinity, | 28 |
| abstract_inverted_index.sections, | 123, 206 |
| abstract_inverted_index.sections; | 20 |
| abstract_inverted_index.variables | 115 |
| abstract_inverted_index.associated | 150 |
| abstract_inverted_index.calculated | 124 |
| abstract_inverted_index.regression | 152, 161, 215 |
| abstract_inverted_index.resolution | 178 |
| abstract_inverted_index.spiciness, | 31 |
| abstract_inverted_index.variables. | 158 |
| abstract_inverted_index.cross-shelf | 18, 107, 204 |
| abstract_inverted_index.Hydrographic | 13 |
| abstract_inverted_index.coefficients | 154 |
| abstract_inverted_index.conventions: | 90 |
| abstract_inverted_index.hydrographic | 19, 52, 108, 122, 205 |
| abstract_inverted_index.observations | 47, 93 |
| abstract_inverted_index.temperature, | 26 |
| abstract_inverted_index.Additionally, | 75 |
| abstract_inverted_index.climatologies | 24, 212 |
| abstract_inverted_index.coefficients, | 162 |
| abstract_inverted_index.coefficients. | 216 |
| abstract_inverted_index.climatological | 121 |
| abstract_inverted_index.(newport_hydrographic_line_station_data.zip) | 43 |
| abstract_inverted_index.newport_hydrographic_line_gridded_sections.nc | 91 |
| abstract_inverted_index.newport_hydrographic_line_gridded_section_coefficients.nc | 147 |
| abstract_inverted_index.newport_hydrographic_line_gridded_section_climatologies.nc | 119 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |