http://lod.bco-dmo.org/id/dataset/686578
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2017-03-28
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High (CalBenJI project)
2017-03-28
publication
2017-03-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-12-27
publication
https://doi.org/10.26008/1912/bco-dmo.686578.1
Bryan Black
University of Texas - Marine Science Institute
principalInvestigator
Steven Bograd
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
principalInvestigator
Marisol Garcia Reyes
Farallon Institute for Advanced Ecosystem Research
principalInvestigator
William Sydeman
Farallon Institute for Advanced Ecosystem Research
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Black, B., Bograd, S., Garcia Reyes, M., Sydeman, W. (2021) Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High (CalBenJI project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-03-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.686578.1 [access date]
Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High Dataset Description: <p>Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High. The data are all anomalies (normalized to a mean of 0 and std dev of 1) and thus have no units.</p>
<p><strong>Data include:</strong><br />
<strong>North Pacific High</strong>: Mean Jan-Mar Hadley Centre HadSLP2 sea level pressure anomaly for the region 25N and 35N by 145W and 125W. Data were acquired through: <a href="http://www.metoffice.gov.uk/hadobs/hadslp2/" target="_blank">http://www.metoffice.gov.uk/hadobs/hadslp2/</a></p>
<p><strong>River Discharge</strong>: Water year discharge (Oct 1-Sep 30) anomaly for seven rivers, and the mean of these anomalies. Data acquired from the United States Geological Survey <a href="https://waterdata.usgs.gov/nwis/rt" target="_blank">https://waterdata.usgs.gov/nwis/rt</a></p>
<p><strong>Sea Level</strong>: Winter (Jan-Mar) anomaly of sea level at five locations along the west coast of North America as well as their mean. All linear trends have been removed. Sea level data were acquired from the University of Hawaii Sea Level Center. <a href="http://uhslc.soest.hawaii.edu/" target="_blank">http://uhslc.soest.hawaii.edu/</a></p>
<p><strong>Upwelling</strong>: Winter (Jan-Mar) upwelling anomaly for eight upwelling stations (30N, 33N, 36N, 39N, 42N, 45N, 48N, 51N) along the west coast of North America as well as their mean. Upwelling data were acquired from the NOAA Pacific Fisheries Environmental Laboratory. <a href="https://www.pfeg.noaa.gov/products/PFEL/modeled/indices/upwelling/NA/upwell_menu_NA.html" target="_blank">https://www.pfeg.noaa.gov/products/PFEL/modeled/indices/upwelling/NA/upwell_menu_NA.html</a></p>
<p><strong>Precipitation</strong>: Winter (Jan-Mar) precipitation anomaly for thirteen NOAA climate divisions in western North America, as well as their mean. Precipitation data were acquired from the NOAA Climatic Data Center&nbsp;<a href="https://www7.ncdc.noaa.gov/CDO/CDODivisionalSelect.jsp" target="_blank">https://www7.ncdc.noaa.gov/CDO/CDODivisionalSelect.jsp</a></p> Methods and Sampling: <p>Time series were screened for a North Pacific High (NPH) correlation at values of r &lt; -0.4 for river discharge, r &gt; 0.4 for upwelling, r &lt; -0.5 for sea level and NOAA divisional precipitation, and r &lt; -0.6 for CRU gridded precipitation over the interval 1948-2015. These time series were then analyzed for trends in variance and synchrony, as described in Black <em>et al.</em> Rising synchrony in North American Ecosystems (submitted to <em>Nature Climate Change</em>).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1434732 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1434732
completed
Bryan Black
University of Texas - Marine Science Institute
361-749-6789
Marine Science Institute 750 Channel View Drive
Port Aransas
TX
78373
USA
bryan.black@utexas.edu
pointOfContact
Steven Bograd
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
831-648-8515
99 Pacific Street, Suite 255A
Monterey
CA
93940
USA
steven.bograd@noaa.gov
pointOfContact
Marisol Garcia Reyes
Farallon Institute for Advanced Ecosystem Research
707-478-1381
101 H St. Suite Q
Petaluma
CA
94952-1092
USA
marisolgr@gmail.com
pointOfContact
William Sydeman
Farallon Institute for Advanced Ecosystem Research
707-478-1381
101 H St. Suite Q
Petaluma
CA
94952-1092
USA
wsydeman@faralloninstitute.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
year
NPacific_High
RivDis_g11152000
RivDis_g10263500
RivDis_g11058500
RivDis_g11230500
RivDis_g11264500
RivDis_g11266500
RivDis_g11383500
RivDis_mean
SeaLev_SF
SeaLev_Astoria
SeaLev_LaJolla
SeaLev_LA
SeaLev_SanDiego
SeaLev_avg
Upwelling_30N
Upwelling_33N
Upwelling_36N
Upwelling_39N
Upwelling_42N
Upwelling_45N
Upwelling_48N
Upwelling_51N
Upwelling_mean
Precip_CAwinter7
Precip_CAwinter6
Precip_CAwinter4
Precip_AZwinter6
Precip_CAwinter2
Precip_UTwinter2
Precip_CAwinter5
Precip_AZwinter7
Precip_AZwinter1
Precip_AZwinter5
Precip_AZwinter3
Precip_AZwinter4
Precip_CAwinter3
Precip_avg
theme
None, User defined
year
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Climate Change and Upwelling -- Comparative Analysis of Current and Future Responses of the California and Benguela Ecosystems
https://osprey.bco-dmo.org/project/564665
Climate Change and Upwelling -- Comparative Analysis of Current and Future Responses of the California and Benguela Ecosystems
<p><em>Desciption from NSF award abstract:</em><br />
Along the west coasts of North and South America, Africa, and Iberia, alongshore equatorward winds bring nutrient-rich waters to the sunlit surface of the ocean, stimulating phytoplankton blooms that support robust, rich and diverse ecosystems. This process is known as "upwelling". Because upwelling is driven by winds, and winds are related to atmospheric conditions, upwelling is highly vulnerable to the effects of climate change. However, the potential impacts of climate change on upwelling and biology remain largely uncertain. In earlier work in the California Current upwelling system, off the west coast of the United States, researchers found that upwelling occurs in distinct winter and summer "modes" that have different impacts on biology. In this project, oceanographic and atmospheric data from the Benguela Current system, off South Africa and Namibia, will be analyzed for similar seasonal patterns and relationships with the ecosystem. Comparisons between these two upwelling systems will allow researchers to investigate if previous findings of regional climate impacts on biology are applicable at a global scale and consider how these systems may change in the future. The project will facilitate collaboration between researchers from South Africa, Namibia, and the United States, integrating a team of young and senior scientists from the three countries and providing them with opportunities for broad-scale scientific synthesis early in their careers.</p>
<p>This project will be a comparative analyses of climate forcing and biological responses in the California Current (CCS) and Benguela Current systems (BCS), the two upwelling systems with the most similar time series of atmospheric and oceanographic conditions, seabird demography, and lower (chlorophyll) and mid (forage fish) trophic data. The project will determine whether changes in the ecosystems can be attributed to regional or global climate processes. Growth-increment chronologies from fish in the BCS (deep-water hake) will be developed as indicators of upper-trophic fish growth, and compared to rockfish growth chronologies developed in the CCS. Mid-trophic level fish abundance will be modeled as indices of prey availability for integration between climate and upper-trophic-level parameters. Oceanographic and atmospheric data will be analyzed from global observational and reanalysis data sets, as well as from earth system model projections of climate change. The project will address the following questions:<br />
1) are seasonal upwelling modes (winter and summer) discernible in the BCS as they are in the CCS?<br />
2) are upwelling modes forced by similar or contrasting atmospheric forcing mechanisms?<br />
3) is there evidence of coherence/covariance among mid-trophic fish, upper-trophic fish, and seabirds (and at which lags) within and between the CCS and BCS?<br />
4) will the positioning and amplitude of the atmospheric pressure systems that result in upwelling-favorable winds change coherently between ecosystems under various climate-change scenarios? and<br />
5) what are the fisheries and wildlife management implications for variability in the seasonality and spatial distribution of upwelling in a changing climate?</p>
CalBenJI
largerWorkCitation
project
eng; USA
oceans
1895-01-01
2015-12-31
California Current Ecosystem and Benguela Current Ecosystem
0
BCO-DMO catalogue of parameters from Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High (CalBenJI project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/686851.rdf
Name: year
Units: unitless
Description: <p>Four-digit year</p>
http://lod.bco-dmo.org/id/dataset-parameter/686852.rdf
Name: NPacific_High
Units: unitless
Description: <p>North Pacific High: Mean Jan-Mar Hadley Centre HadSLP2 sea level pressure anomaly for the region 25N and 35N by 145W and 125W. Data were acquired through: <a href="http://www.metoffice.gov.uk/hadobs/hadslp2/">http://www.metoffice.gov.uk/hadobs/hadslp2/</a></p>
http://lod.bco-dmo.org/id/dataset-parameter/686853.rdf
Name: RivDis_g11152000
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11152000 ARROYO SECO NR SOLEDAD CA (36.28, -121.32)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686854.rdf
Name: RivDis_g10263500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 10263500 BIG ROCK C NR VALYERMO CA (34.42, -117.84)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686855.rdf
Name: RivDis_g11058500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11058500 E TWIN C NR ARROWHEAD SPRINGS CA (34.18, -117.27)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686856.rdf
Name: RivDis_g11230500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11230500 BEAR C NR LAKE THOMAS A EDISON CA (37.34, -118.97)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686857.rdf
Name: RivDis_g11264500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11264500 MERCED R A HAPPY ISLES BRIDGE NR YOSEMITE CA (37.73, -119.56)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686858.rdf
Name: RivDis_g11266500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11266500 MERCED R A POHONO BRIDGE NR YOSEMITE CA (37.72, -119.67)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686859.rdf
Name: RivDis_g11383500
Units: unitless
Description: <p>River discharge (Oct 1-Sep 30) anomaly for USGS site 11383500 DEER C NR VINA CA (40.01, -121.95)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686860.rdf
Name: RivDis_mean
Units: unitless
Description: <p>Mean of river discharge (Oct 1-Sep 30) anomalies for the previous seven rivers</p>
http://lod.bco-dmo.org/id/dataset-parameter/686861.rdf
Name: SeaLev_SF
Units: unitless
Description: <p>Winter (Jan-Mar) anomaly of sea level at San Francisco (37.80, -122.47)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686862.rdf
Name: SeaLev_Astoria
Units: unitless
Description: <p>Winter (Jan-Mar) anomaly of sea level at Astoria (46.22, -123.77)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686863.rdf
Name: SeaLev_LaJolla
Units: unitless
Description: <p>Winter (Jan-Mar) anomaly of sea level at La Jolla (32.87, -117.25)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686864.rdf
Name: SeaLev_LA
Units: unitless
Description: <p>Winter (Jan-Mar) anomaly of sea level at Los Angeles (33.72, -118.27)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686865.rdf
Name: SeaLev_SanDiego
Units: unitless
Description: <p>Winter (Jan-Mar) anomaly of sea level at San Diego (32.71, -117.17)</p>
http://lod.bco-dmo.org/id/dataset-parameter/686866.rdf
Name: SeaLev_avg
Units: unitless
Description: <p>Average winter (Jan-Mar) anomaly of sea level for the five previous locations</p>
http://lod.bco-dmo.org/id/dataset-parameter/686867.rdf
Name: Upwelling_30N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 30 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686868.rdf
Name: Upwelling_33N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 33 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686869.rdf
Name: Upwelling_36N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 36 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686870.rdf
Name: Upwelling_39N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 39 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686871.rdf
Name: Upwelling_42N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 42 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686872.rdf
Name: Upwelling_45N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 45 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686873.rdf
Name: Upwelling_48N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 48 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686874.rdf
Name: Upwelling_51N
Units: unitless
Description: <p>Winter (Jan-Mar) upwelling anomaly for the upwelling station at 51 degrees N</p>
http://lod.bco-dmo.org/id/dataset-parameter/686875.rdf
Name: Upwelling_mean
Units: unitless
Description: <p>Mean winter (Jan-Mar) upwelling anomaly for the eight upwelling stations</p>
http://lod.bco-dmo.org/id/dataset-parameter/686876.rdf
Name: Precip_CAwinter7
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 7</p>
http://lod.bco-dmo.org/id/dataset-parameter/686877.rdf
Name: Precip_CAwinter6
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 6</p>
http://lod.bco-dmo.org/id/dataset-parameter/686878.rdf
Name: Precip_CAwinter4
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 4</p>
http://lod.bco-dmo.org/id/dataset-parameter/686879.rdf
Name: Precip_AZwinter6
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 6</p>
http://lod.bco-dmo.org/id/dataset-parameter/686880.rdf
Name: Precip_CAwinter2
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/686881.rdf
Name: Precip_UTwinter2
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Utah 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/686882.rdf
Name: Precip_CAwinter5
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 5</p>
http://lod.bco-dmo.org/id/dataset-parameter/686883.rdf
Name: Precip_AZwinter7
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 7</p>
http://lod.bco-dmo.org/id/dataset-parameter/686884.rdf
Name: Precip_AZwinter1
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/686885.rdf
Name: Precip_AZwinter5
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 5</p>
http://lod.bco-dmo.org/id/dataset-parameter/686886.rdf
Name: Precip_AZwinter3
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 3</p>
http://lod.bco-dmo.org/id/dataset-parameter/686887.rdf
Name: Precip_AZwinter4
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division Arizona 4</p>
http://lod.bco-dmo.org/id/dataset-parameter/686888.rdf
Name: Precip_CAwinter3
Units: unitless
Description: <p>Winter (Jan-Mar) precipitation anomaly for the NOAA climate division California 3</p>
http://lod.bco-dmo.org/id/dataset-parameter/686889.rdf
Name: Precip_avg
Units: unitless
Description: <p>Average winter (Jan-Mar) precipitation anomaly for the thirteen NOAA climate divisions</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
49638
https://darchive.mblwhoilibrary.org/bitstream/1912/27857/1/dataset-686578_physical-indicators__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.686578.1
download
onLine
dataset
<p>Time series were screened for a North Pacific High (NPH) correlation at values of r &lt; -0.4 for river discharge, r &gt; 0.4 for upwelling, r &lt; -0.5 for sea level and NOAA divisional precipitation, and r &lt; -0.6 for CRU gridded precipitation over the interval 1948-2015. These time series were then analyzed for trends in variance and synchrony, as described in Black <em>et al.</em> Rising synchrony in North American Ecosystems (submitted to <em>Nature Climate Change</em>).</p>
Specified by the Principal Investigator(s)
<p>These data are all anomalies in which the time series had been standardized to a mean of zero and standard deviation on one. Linear trends have been removed from sea level data to remove possible geological or anthropogenic sea level rise signals.</p>
<p>BCO-DMO Processing:<br />
- modified parameter names (column headers) to conform with BCO-DMO naming conventions;<br />
- replaced blank spaces/missing data with "nd" ("no data").</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact