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1,001 results for “California Current”
RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem
<p><strong>Description</strong></p> <p>RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020.</p> <p><strong>Citation</strong></p> <p>If using this product, please also cite the original manuscript:</p> <p>Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. <a href="https://doi.org/10.5194/essd-14-2081-2022">A monthly surface pCO2 product for the California Current Large Marine Ecosystem</a>. Earth System Science Data, 14, 2081–2108, 2022. doi: 10.5194/essd-14-2081-2022.</p> <p><strong>Driver Variables (<a href="https://figshare.com/articles/dataset/RFR-CCS/15152013/2">figshare</a>)</strong></p> <p>1. Sea Surface Temperature: <a href="https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html">OISSTv2</a></p> <p>2. Sea Surface Salinity: <a href="https://www.ecco-group.org/products.htm">ECCO2</a></p> <p>3. Chlorophyll-a: <a href="http://sites.science.oregonstate.edu/ocean.productivity/1080.by.2160.monthly.inputData.php">Oregon State (via NASA)</a></p> <p>4. Wind Speed: <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5">ERA5</a></p> <p>5. Atmospheric pCO2: <a href="https://gml.noaa.gov/ccgg/mbl/">NOAA MBL</a></p> <p>6. Mixed Layer Depth: <a href="https://www.hycom.org/hycom/">HYCOM</a></p> <p>7. Distance from Shore: Calculated from latitude and longitude (<a href="https://www.chadagreene.com/CDT/CDT_Contents.html">dist2coast, Climate Data Toolbox</a>)</p> <p>8. Year</p> <p>9. Month of Year</p>
Non-Targeted Metabolomics of a Phytoplankton Bloom in the California Current Ecosystem 1706
<p>Non-Targeted LC-MS/MS based Metabolomics of SPE (PPL) extracts of a Phytoplankton Bloom in the California Current Ecosystem 1706</p>
High Performance Liquid Chromatography (HPLC) pigment analysis from rosette bottle samples at various depths from CalCOFI-CCE Augmented cruises in the California Current System, 2002 to 2023 (ongoing).
High Performance Liquid Chromatography (HPLC) samples are collected from rosette bottles (from three to eight different depths in the photic zone) at stations located within the CCE region on CalCOFI cruises (since 2002, ongoing). The HPLC method is used to measure concentrations of chlorophylls and carotenoids in samples of particulate matter, which includes filtering and freezing the filter while at sea. The taxon-specific phyto-pigments are extracted back onshore. Concentrations of chlorophyll a are used as a proxy for phytoplankton biomass and concentrations of other taxon-specific pigments are used to determine contributions of phytoplankton taxa to total phytoplankton biomass.
The co-occurrence of MHW characteristics and in situ sampling from CCE-CalCOFI Augmented Cruises in the California Current System,1983~2021
The intensity and duration of each MHW event and the anomalies of in situ nitracline and plankton abundance in the Southern California Current System (the region south of line 76.7; 29-36°N, 117-125°W) were calculated. In situ data are available from ~quarterly CalCOFI cruises. Data collected from 1983 onward were utilized, including nitrate, picoplankton and bacteria abundance, size-fractionated Chla concentration, vertically-integrated Chla, vertically-integrated primary production, phytoplankton taxon-specific pigments from High-Performance Liquid-Chromatography (HPLC) analysis, zooplankton displacement volume (ZDV), zooplankton taxon-specific abundance, and fish egg and larvae abundance.
The co-occurrence of MHW characteristics and satellite-observed Chlorophyll concentration in the California Current System,1996~2020
The characteristics of each MHW event and the most negative anomalies of satellite-observed Chlorophyll concentration in each MHW event in the Southern California Current System (30-35.5°N, 117-125 °W) were calculated.
Measurements, from CCE LTER process cruises in the California Current region, of total dissolvable inorganic concentrations of the nutrient iron, 2017 - (ongoing).
Seawater profiles or discrete samples for total dissolvable iron (TDFe) analysis are collected with the trace metal rosette or GO-FLO bottles, respectively, in stations located within the CCE LTER region in the California Current System. The total dissolvable iron concentration is obtained by collecting unfiltered seawater samples in 250 mL LDPE bottles and storing them at pH 1.8 for 6 months or more. The acidified seawater sample is then filtered using acid cleaned 0.4 um PES membrane Titan 3 syringe filters and determined by flow injection chemiluminescent (FI-CL) analysis at Scripps Insitution of Oceanography since 2017 (ongoing).
Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
<p>Regional Ocean Modeling System outputs from dynamic downscaling of Coupled Model Intercomparison Project climate forcings in the California Current system, including projections with full climate forcings, as well as attribution experiments with only changes in wind, heat fluxes and other properties changing stratification, and boundary biogeochemical forcings. Output variables include euphotic zone integrated net primary productivity, and incident photosytnehtically available radiation, and ocean temperature, salinity, vertical velocity, and dissolved oxygen and nitrate concentrations at select depths.</p>
Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
Chinook Salmon is an economically and ecologically important species, and populations from the west coast of North America are a major component of fisheries in the North Pacific Ocean. The anadromous life history strategy of this species generates populations (or stocks) that typically are differentiated from neighboring populations. In many cases, it is desirable to discern the stock of origin of an individual fish or the stock composition of a mixed sample to monitor the stock-specific effects of anthropogenic impacts and alter management strategies accordingly. Genetic stock identification (GSI) provides such discrimination, and we describe here a novel GSI baseline composed of genotypes from more than 8000 individual fish from 69 distinct populations at 96 single nucleotide polymorphism (SNP) loci. The populations included in this baseline represent the likely sources for more than 99% of the salmon encountered in ocean fisheries of California and Oregon. This new genetic baseline permits GSI with the use of rapid and cost-effective SNP genotyping, and power analyses indicate that it provides very accurate identification of important stocks of Chinook Salmon. In an ocean fishery sample, GSI assignments of more than 1000 fish, with our baseline, were highly concordant (98.95%) at the reporting unit level with information from the physical tags recovered from the same fish. This SNP baseline represents an important advance in the technologies available to managers and researchers of this species.
Data from: Evaluation of different bias correction methods for dynamical downscaled future projections of the California Current Upwelling System
<p class="Abstract">Biases in global Earth System Models (ESMs) are an important source of errors when used to obtain boundary conditions for regional models. Here we examine historical and future conditions in the California Current System (CCS) using three different methods to force the regional model: (1) interpolation of ESM output to the regional grid with no bias correction; (2) a "seasonally-varying" delta method that obtains a season-dependent mean climate change signal from the ESM for a 30-year future period; and (3) a "time-varying" delta method that includes the interannual variability of the ESM over the 1980–2100 period. To compare these methods, we use a high-resolution (0.1˚) physical-biogeochemical regional model to dynamically downscale an ESM projection under the RCP8.5 emission scenario. Using different downscaling methods, the sign of future changes agrees for most of the physical and ecosystem variables, but the spatial patterns and magnitudes of these changes differ, with the seasonal- and time-varying delta simulations showing more similar changes. Not correcting the ESM forcing leads to amplification of biases in some ecosystem variables as well as misrepresentation of the California Undercurrent and CCS source waters. In the non-bias corrected and time-varying delta simulations, most of the ecosystem variables inherit trends and decadal variability from the ESM, while in the seasonally-varying delta simulation, the future variability reflects the observed historical variability (1980–2010). Our results demonstrate that bias correcting the forcing prior to downscaling improves historical simulations and that the bias correction method may impact the spatial and temporal variability of future projections. </p>
Physical and biogeochemical properties of California Current upwelled source waters
<p>Coastal upwelling variability in the California Current region, one of the four main eastern boundary current upwelling systems, is controlled by processes acting over a wide range of spatial and temporal scales. While the ensuing ecosystem response depends strongly on upwelled water properties, determining their exact physical and biogeochemical characteristics is notoriously difficult as it requires tracking water masses backward in space and time from the moment they upwell near the coast to their subsurface origin. Adjoint model simulations have been used successfully to track water masses in coastal upwelling systems and the work presented here extends these applications to determining the co-variability of physical and biogeochemical properties of source waters at spatial scales that resolve the known alongshore variability of coastal upwelling dynamics in the region. Notably, the results identify that the modulation of coastal upwelling efficiency by onshore/offshore geostrophic meanders is the dominant mechanism explaining alongshore variability in source depth and properties of upwelled waters. The simulations also reveal that source water properties vary seasonally in response to different balances between coastal upwelling intensity and biogeochemical processes. During spring, interannual variability of physical and biogeochemical properties is directly tied to the intensity of upwelling-favorable alongshore winds, whereas, during summer, biogeochemical properties respond more strongly to biological activity and subsequent organic matter remineralization at depth. Overall, the present work provides important insight into the mechanisms responsible for the alongshore mosaic and seasonal variation upwelled source water properties in the central California Current region.</p>
Seasonal upwelling forecasts in the California Current System
<div> <div> <div> <div> <div> <div> <div> <p>Daily mean upwelling forecasts used for analysis in Amaya et al. <em>in review</em>, "Seasonal upwelling forecasts in the California Current System". Forecasts are based on daily mean wind stress data from four initialized hindcasts: CanESM5, CanCM4i, CESM1, and GFDL-SPEAR. Forecasts are for the period 1991-2021.</p> </div> </div> </div> </div> </div> </div> </div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div>
Data for: Movements and residency of fin whales (Balaenoptera physalus) in the California Current System
<p>This dataset represents the sighting histories of 932 individual fin whales (<em>Balaentoptera physalus</em>) photographed along the west coast of the continental United States and northern Mexico, 1987–2018. Because the fin whale is an endangered species, the sighting locations have been generalized. The full resolution sighting location data files and the R code used to conduct the analyses for the associated manuscript may be requested from the authors.</p>
Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
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Downscaled climate projections of future mesopelagic habitat in the California Current Ecosystem
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Data for: Movements and residency of fin whales (Balaenoptera physalus) in the California Current System
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Data from: Evaluation of different bias correction methods for dynamical downscaled future projections of the California Current Upwelling System
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Physical and biogeochemical properties of California Current upwelled source waters
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Data from: Composition and functional diversity of juvenile groundfish assemblages in the California current
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Shelled Pteropod individual-based model output for the publication: The impact of aragonite saturation variability on shelled pteropods: An attribution study in the California current system
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Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
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