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325 Research products, page 1 of 33

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  • Open Access
    Authors: 
    Environment and Climate Change Canada | Environnement et Changement climatique Canada;
    Publisher: Open Data Canada

    L'inventaire officiel national de gaz à effet de serre du Canada est préparé et présenté à la Convention cadre des Nations Unies sur les changements climatiques (CCNUCC) au plus tard le 15 avril de chaque année, conformément aux Directives pour l'établissement des communications nationales des Parties visées à l'annexe 1 de la Convention, première partie : directives FCCC pour la notification des inventaires annuels (directives de la CCNUCC pour la notification des inventaires) adoptées par la décision 24/CP.19 en 2013. Le rapport annuel d'inventaire se compose du Rapport d'inventaire national (RIN) et des tableaux du Cadre uniformisé de présentation de rapports (CUPR).Les gaz pour lesquels les émissions sont estimées comprennent le dioxyde de carbone (CO2), le méthane (CH4), l'oxyde de diazote (N2O), les hydrofluorocarbones (HFC), les perfluorocarbones (PFC), l'hexaflorure de soufre (SF6) et la triflorure d'azote (NF3). Notez que pour tenir compte de la création du Nunavut en 1999, les données pour les années précédant 1999 montrent le Nunavut et les Territoires du Nord-Ouest comme une seule région. En apprendre plus sur l'inventaire canadien des gaz à effet de serre : https://www.canada.ca/inventaire-ges Nous contacter : https://www.canada.ca/fr/environnement-changement-climatique/services/changements-climatiques/emissions-gaz-effet-serre/coordonnees-equipe.html Renseignements supplémentaires Le sommaire du RIN est disponible sur le site web d'Environnement Canada : https://www.canada.ca/fr/environnement-changement-climatique/services/changements-climatiques/emissions-gaz-effet-serre.html Le RIN complète est disponible sur le site web de la Convention-cadre des Nations Unies sur les changements climatiques : https://unfccc.int/ghg-inventories-annex-i-parties/2022 Soutien aux projets : Ces données sont une partie des travaux publiés par le Canada dans la présentation du Rapport d'inventatire national (RIN) en 2022. Canada's official national greenhouse gas inventory is prepared and submitted annually to the United Nations Framework Convention on Climate Change (UNFCCC) by April 15 of each year, in accordance with the revised Guidelines for the preparation of national communications by Parties included in Annex I to the Convention, Part I: UNFCCC reporting guidelines on annual inventories (UNFCCC Reporting Guidelines), adopted through Decision 24/CP.19 in 2013. The annual inventory submission consists of the National Inventory Report (NIR) and the Common Reporting Format (CRF) tables. Gases for which emissions are estimated include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFC), perfluorocarbons (PFC), sulfur hexafluoride (SF6) and nitrogen trifluoride (NF3). Note that to account for the creation of Nunavut in 1999, data for years preceding 1999 show Nunavut and Northwest Territories as a combined region. Learn more about Canada's greenhouse gas inventory: https://www.canada.ca/ghg-inventory Contact us: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/contact-team.html Supplemental Information The Executive Summary of Canada's NIR is available on Environment Canada's website: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions.html The complete NIR is available on the United Nations Framework Convention on Climate Change's website: https://unfccc.int/ghg-inventories-annex-i-parties/2022 Supporting Projects: This data is a portion of the work published by Canada in the 2022 submission of the National Inventory Report (NIR).

  • Research data . 2022
    Open Access
    Authors: 
    Environment and Climate Change Canada | Environnement et Changement climatique Canada;
    Publisher: Open Data Canada

    Le carbone noir est une petite particule d'aérosol (ou aérienne) de courte durée de vie liée au réchauffement climatique et aux effets nocifs sur la santé. Il est rejeté par la combustion incomplète de carburants à base de carbone (c.-à-d. les combustibles fossiles, les biocarburants ou le bois) sous la forme de matière particulaire très fine. Le carbone noir n'est pas rejeté seul, mais en tant que composante d'une matière particulaire d'un diamètre inférieur ou égal à 2,5 micromètres (PM2,5). En tant que membre du Conseil de l'Arctique, le Canada est engagé à produire un inventaire annuel des émissions de carbone noir. Ces données serviront à informer les Canadiens au sujet des émissions de carbone noir et à fournir des renseignements inestimables pour l'élaboration de stratégies de gestion de la qualité de l'air. Les données utilisées pour la compilation du rapport proviennent des sections de l'Inventaire des émissions de polluants atmosphériques (IEPA) en particulier pour les émissions de matières particulaires fines (PM2,5) provenant de sources liées à la combustion. Nous contacter : apei-iepa@ec.gc.ca iepa@ec.gc Nous contacter : apei-iepa@ec.gc.ca Pour un complément d'information sur l'Inventaire des émissions de carbone noir du Canada, consulter : https://Canada.ca/carbone-noir Pour les émissions canadiennes d'autres polluants atmosphériques, se reporter à l'Inventaire des émissions de polluants atmosphériques : https://Canada.ca/IEPA Le programme des Indicateurs canadiens de durabilité de l'environnement (ICDE) d'Environnement Canada permet d'obtenir des renseignements supplémentaires : https://www.canada.ca/fr/environnement-changement-climatique/services/indicateurs-environnementaux.html Outil d'interrogation interactif de l'IEPA et carbone noir : https://pollution-waste.canada.ca/air-emission-inventory/?GoCTemplateCulture=fr-CA Black carbon is a short-lived, small aerosol (or airborne) particle linked to both climate warming and adverse health effects. It is emitted from incomplete combustion of carbon-based fuels (i.e., fossil fuels, biofuels, wood) in the form of very fine particulate matter. Black carbon is not emitted on its own, but as a component of particulate matter less than or equal to 2.5 micrometres in diameter (PM2.5). As a member of the Arctic Council, Canada has committed to producing an annual inventory of black carbon emissions. This data will serve to inform Canadians about black carbon emissions and provide valuable information for the development of air quality management strategies. The data used to compile the report originate from sections of the Air Pollutant Emission Inventory (APEI) specifically fine particulate matter (PM2.5) emissions from combustion-related sources. Contact us: apei-iepa@ec.gc.ca For more information on Canada's Black Carbon Inventory, please visit: https://Canada.ca/black-carbon For Canada's emissions of other air pollutants, please reference the Air Pollutant Emission Inventory: https://Canada.ca/APEI More information is available through Environment Canada's Canadian Environmental Sustainability Indicators program (CESI): https://www.canada.ca/en/environment-climate-change/services/environmental-indicators.html APEI and Black Carbon Interactive Query Tool: https://pollution-waste.canada.ca/air-emission-inventory

  • Research data . 2022
    Open Access
    Authors: 
    Centre for Earth Observation Science;
    Publisher: University of Manitoba

    The dataset is a compilation of data measured and calculated by Team 3 and Team 4 from aboard the CCGS Amundsen for the BaySys project. The data were collected over several campaigns: Hudson Bay Amundsen Campaign Leg 1 and Leg 2, Churchill River and Mobile Ice Survey, and Nelson Estuary Landfast Ice Survey. The data is curated in order to understand and analyze principal components of the carbon system across the Hudson Bay.

  • Open Access English
    Authors: 
    Strauss, Jens; Laboor, Sebastian; Schirrmeister, Lutz; Fedorov, Alexander N; Fortier, Daniel; Froese, Duane G; Fuchs, Matthias; Günther, Frank; Grigoriev, Mikhail N; Harden, Jennifer W; +19 more
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | PETA-CARB (338335)

    Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.

  • Open Access
    Authors: 
    Andrea, Spolaor; Marco, Vecchiato; Alice, Callegaro; Niccolo, Maffezzoli; Cairns Warren, R.L.; Carlo, Barbante;
    Publisher: Zenodo
    Project: EC | ACTRIS-2 (654109), EC | ERA-PLANET (689443)

    The produced dataset (in MS Excel format) contains concentrations of mercury, trace elements and organic contaminants in snow samples collected in the Ny-Alesund area (Svalbard - Norway) (78.917° N 11.933° E) and from the Antarctic Plateau, Dome C (75.103°S, 123.35°E). The Arctic sampling sites are reported in figure 1. The concentrations for trace elements and mercury are in ngg-1 while for the organic contaminants they are reported in ngL-1. The inorganic contaminants dataset reports concentration of Hg, Trace elements and Black Carbon in Arctic and Antarctic site. The Arctic sites are subdivided in annual snow pack on the glacier and surface snow sampling close to the Gruvebadet Aerosol Laboratory. In Antarctica mercury concentrations in surface snow are also reported. The organic contaminants dataset reports the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) in surface snow samples collected close to the Gruvebadet Aerosol Laboratory (78.91622°N 11.89536°E, Ny Alesund, Norway). Samplings were performed from 04/10/2018 to 13/05/2019, obtaining a total of 35 samples, encompassing the entire winter season with an approximatively weekly resolution. Total PAH (sum of naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, benzo(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k) fluoranthene, benzo(a)pyrene, benzo(ghi)perylene, indeno(1,2,3-c,d)pyrene and dibenzo(a,h)anthracene) concentrations range from 0.8 to 37 ng L-1. Individual PAHs were mean blank corrected and average percentage abundances in the samples are reported in the dataset. {"references": ["Pet\u00e4j\u00e4, T., et al., Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) \u2013 concept and initial results. Atmos. Chem. Phys., 2020. 20(14): p. 8551-8592.", "Bert\u00f2, M., et al., Variability in black carbon mass concentration in surface snow at Svalbard. Atmos. Chem. Phys., 2021. 21(16): p. 12479-12493.", "Cairns, W.R.L., et al., Mercury in precipitated and surface snow at Dome C and a first estimate of mercury depositional fluxes during the Austral summer on the high Antarctic plateau. Atmospheric Environment, 2021. 262: p. 118634."]}

  • Open Access
    Authors: 
    Retelletti Brogi, Simona;
    Publisher: Mendeley

    The dataset includes information on dissolved organic matter concentration (DOC) and quality (CDOM, FDOM) in the Arno River (Italy) in 2014 and 2015, together with water temperature and river discharge on the sampling dates. Weekly samples were collected from a station located in the lower part of the river, the closest point to the mouth, not influenced by seawater. Methods: Surface (upper 1m) water samples were collected in the center of the river from a bridge using an acid-washed Teflon sampler. Water temperature was measured by a portable Hanna 9033 probe (Hanna Instruments Inc., USA); Daily average river discharge are available from the Regional Hydrological Service (www.sir.toscana.it); Samples for DOM analyses were collected into acid-washed polycarbonate bottles (Nalgene) and kept refrigerated and in the dark until filtration. Samples were filtered through a 0.2 μm pore size filter (Whatman Polycap, 6705-3602 capsules) and dispensed into 3 x 60 ml acid-washed polycarbonate (Nalgene) bottles, used as analytical replicates. DOC, CDOM, and FDOM were immediately measured after filtration. DOC was measured by high-temperature catalytic oxidation using a Shimadzu Total Organic Carbon analyzer (TOC-Vcsn). The instrument performance was verified by comparison with DOC Consensus Reference Waters (Hansell, 2005) (CRM Batch #13 nominal concentration of 41-44 μM; measured concentration 42.3 ± 0.9 μM, n=88) Absorbance spectra (230 to 700 nm) were measured using a Jasco UV-visible spectrophotometer (Mod-7850) with a 10 cm quartz cuvette. Fluorescence excitation-emission Matrixes (EEMs) were obtained using the Aqualog spectrofluorometer (Horiba). Excitation ranged between 250 and 450 nm at 5 nm increment, emission was recorded between 212 and 620 nm every 0.8 nm with an integration time of 5 seconds. The EEMs were subtracted by the EEM of Milli-Q water and corrected for the inner-filter effect. Rayleigh and Raman scatter peaks were removed by using the monotone cubic interpolation and EEMs were normalized by the integrated Raman band of Milli-Q water (λex= 350 nm; λex= 371-428 nm). PARAFAC analysis (drEEM Toolbox) resulted in a 5-component model. Samples for Heterotrophic Prokaryotes Abundance (HPA) were fixed for 10 min with a mix of paraformaldehyde (PF, 1%) and glutaraldehyde (GL, 0.05%), frozen in liquid N2 and stored at -80 °C until the analysis. Once thawed, samples were stained with SYBR Green (Invitrogen Milan, Italy) 10-3 dilution of stock solution for 15 min at room temperature. Heterotrophic prokaryotes (HP) cell concentrations were estimated using a FACSVerse flow cytometer (BD BioSciences Inc, Frankyn Lakes, USA) equipped with a 488 nm Ar laser and standard filter set. Data analysis was performed using the FCS Express software and HP discriminated from other particles based on scatter and green fluorescence from SYBR Green.

  • Open Access English
    Authors: 
    Gorodetskaya, Irina V.; Thurnherr, Iris; Tsukernik, Maria; Graf, Pascal; Aemisegger, Franziska; Wernli, Heini; Ralph, F. Martin;
    Publisher: Zenodo

    Dataset abstract The data set consists of the vertical profiles of the atmospheric variables measured using radiosondes (i-Met) during the Antarctic Circumnavigation Expedition from November 2016 to April 2017. The data include the raw variables measured directly by the radiosondes and derived parameters: altitude (km), air pressure (mb), air temperature (ºC), relative humidity (%), frostpoint (ºC), potential temperature (ºK), water vapour mixing ratio (ppmv), total column water (mm w.e.), wind speed (m/s) and wind direction (deg). Dataset contents aceNNN_yyyymmdd, directory aceNNN_yyyymmdd.csv, data file, comma-separated values aceNNN_yyyymmdd.kml, metadata, XML aceNNN_yyyymmdd.raw, data file, raw, ASCII DOS aceNNN_yyyymmdd.raw_config, metadata, XML aceNNN.de1, metadata, ASCII text format aceNNNflt.dat, data file, ASCII text format aceNNNpre.dat, data file, ASCII text format plots, directory Sounding_ACENNN.png, metadata, portable network graphics data_file_header_csv.txt, metadata, text format data_file_header_dat.txt, metadata, text format data_file_header_launches.txt, metadata, text format README.txt, metadata, text format overview_radiosonde_launches.csv, metadata, comma-separated value where NNN is the launch number yyyy is the year, mm is the month and dd is the day. Dates are in UTC. json files make up a Frictionless Data package. Dataset citation Please cite this dataset as: Gorodetskaya, I.V., Thurnherr, I., Tsukernik, M., Graf, P., Aemisegger, F., Wernli, H. and Ralph, F.M. (2021). Atmospheric profiling data collected from radiosondes in the Southern Ocean in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition. (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4382460 The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. The radiosonde programme was possible thanks a collaboration between Irina Gorodetskaya (CESAM, ACE project 18), Marty Ralph (Scripps Institute of Oceanography, UCSD) and Heini Wernli (ETHZ, ACE project 11) assuring the purchase of radiosondes, CLWC sensors, and accessories (balloons, de-reelers), and providing helium and ground equipment. We thank Emrys Hall and Dale Hurst (NOAA Global Monitoring Laboratory) for advice on i-Met-1 radiosonde performance. We are grateful to the crew of R/V Akademik Tryoshnikov for providing a mobile shelter for balloon preparation. We thank many ACE expedition participants who helped with launching the balloons. Special thanks to Guisella Gacitua for helping to find helium vendors in Punta Arenas. IG's participation in ACE was supported by ACE project 18 (PIs Katherine Leonard and Michael Lehning, EPFL) supported by grants from the SPI, the BNP Paribas Foundation, and the Swiss National Science Foundation (grant PZ00P2_142684). IG also thanks FCT/ MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020) and FCT project ATLACE (CIRCNA/CAC/0273/2019) through national funds. IT and PG were supported by grants from the SPI and the BNP Paribas Foundation. {"references": ["King, M. C. Bognar, J. A., Guest, D. and Bunt, F. (2016). Vibrating-Wire, Supercooled Liquid Water Content Sensor Calibration and Characterization Progress, Report NASA/TM\u20142016-219129, 6; National Aeronautics and Space Administration, Clevelend, Ohio, USA.", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.1443511", "Landwehr, S., Thomas, J., Gorodetskaya, I., Thurnherr, I., Robinson, C., and Schmale, J. (2019). Quality-checked meteorological data from the Southern Ocean collected during the Antarctic Circumnavigation Expedition from December 2016 to April 2017. Dataset. Zenodo. https://doi.org/10.5281/zenodo.3379590", "Hurst, D. F., Hall, E. G., Jordan, A. F., Miloshevich, L. M., Whiteman, D. N., Leblanc, T., Walsh, D., V\u00f6mel, H., and Oltmans, S. J. (2011). Comparisons of temperature, pressure and humidity measurements by balloon-borne radiosondes and frost point hygrometers during MOHAVE-2009, Atmos. Meas. Tech., 4, 2777\u20132793,\u00a0https://doi.org/10.5194/amt-4-2777-2011"]}

  • Open Access English
    Authors: 
    Li, Chenzhi; Postl, Alexander; Böhmer, Thomas; Dolman, Andrew M; Herzschuh, Ulrike;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science

    This dataset presents global revised age models for taxonomically harmonized fossil pollen records. The age-depth models were established from mostly Intcal20-calibrated radiocarbon datings with a predefined parameter setting. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia. In the Southern Hemisphere, there are 150 sites in South America, 54 in Africa, and 32 in the Indopacific region. Datings, mostly C14, were retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection. The related age records were revised by applying a similar approach, i.e., using the Bayesian age-depth modeling routine in R-BACON software. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data), we used the already published PANGAEA event names in case they are related to the data or created our own site names with referencing to geographical regions similar to the Neotoma data naming principle.

  • Open Access English
    Authors: 
    Ronge, Thomas A; Frische, Matthias; Fietzke, Jan; Stephens, Alyssa; Bostock, Helen C; Tiedemann, Ralf;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science

    Here we show how surface sediment samples from ten locations from the Pacific Sector of the Southern Ocean and the downcore LGM to Holocene carbonate system of intermediate water sediment record PS75/104-1 offshore New Zealand. We measured foraminiferal B/Ca ratios via laser ablation-inductively coupled-mass spectrometry (LA-ICP-MS) and used the calibration of Yu et al. (2013) for Cibicidoides wuellerstorfi and Ronge et al. (under review) for C. dispars. Measurements were conducted at the GEOMAR in Kiel in 2013.

  • English
    Authors: 
    Chen, Shao-Min; Riebesell, Ulf; Schulz, Kai Georg; von der Esch, Elisabeth; Achterberg, Eric Pieter; Bach, Lennart Thomas;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | AQUACOSM (731065), EC | AQUACOSM-plus (871081)

    Oxygen minimum zones (OMZs) in the ocean are characterized by enhanced carbon dioxide (CO2) levels and are being further acidified by increasing anthropogenic atmospheric CO2. To investigate how on-going ocean deoxygenation will impact biogeochemical processes, a large-scale mesocosm experiment was conducted offshore Peru in austral summer (Feb-Apr) 2017, coinciding with a rare coastal El Niño event. We deployed eight mesocosms, each with a volume of 55 m3 and a length of 19 m, at the surface water in the coastal area of Callao (12.06° S, 77.23° W). The mesocosm bags were filled by surrounding surface water with daily or every-2nd-day nutrient and CO2 measurements for 10 days to monitor the initial conditions. Deep water masses from two different locations in the nearby OMZs were collected (at a depth of 30 and 70 m, respectively) and added to the mesocosms to simulate upwelling events on day 13 (see Bach et al., 2020 for details). Here we report every-2nd-day measurements of carbonate chemistry parameters in the individual mesocosms and the surrounding Pacific waters over 50 days. Depth-integrated seawater samples were taken from the surface (0-10 m for day 3-28; 0-12.5 m for day 29-50) and bottom layer (10-17 m for day 3-28; 12.5-17 m for day 29-50) of the mesocosms and the surrounding coastal water (named “Pacific”) using a 5-L integrating water sampler. Total alkalinity (TA) was measured by a two-stage open-cell potentiometric titration using a Metrohm 862 Compact Titrosampler, Aquatrode Plus (Pt1000) and a 907 Titrando unit, and pH (total scale) was measured spectrophotometrically by measuring the absorbance ratios after adding the indicator dye m-cresol purple (mCP) on a Varian-Cary 100 double-beam spectrophotometer (Varian). With inputs of the measured TA and pH, other CO2 parameters, such as dissolved inorganic carbon, pCO2, calcite and aragonite saturation state, and CO2 fluxes (FCO2), were calculated using the Excel version of CO2SYS. The performance of pH and TA measurements were also evaluated by examining the standard deviations and range controls of triplicate measurements of samples or reference materials. Our observations showed an acidification of surface water in the mesocosms by the OMZ water addition, followed by a rapid drop in pCO2 to near or below the atmospheric level due to enhance phytoplankton production. The positive CO2 fluxes in the surrounding Pacific waters indicated our study site was a local CO2 source during our study. Nevertheless, our mesocosm experiment suggests this CO2 export to the atmosphere can be largely dampened by biological processes. As a unique dataset that characterized near-shore carbonate chemistry with a high temporal resolution during a rare coastal El Niño event, our study gives important insights into the carbonate chemistry responses to extreme climate events in the Peruvian upwelling system.

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The following results are related to European Marine Science. Are you interested to view more results? Visit OpenAIRE - Explore.
325 Research products, page 1 of 33
  • Open Access
    Authors: 
    Environment and Climate Change Canada | Environnement et Changement climatique Canada;
    Publisher: Open Data Canada

    L'inventaire officiel national de gaz à effet de serre du Canada est préparé et présenté à la Convention cadre des Nations Unies sur les changements climatiques (CCNUCC) au plus tard le 15 avril de chaque année, conformément aux Directives pour l'établissement des communications nationales des Parties visées à l'annexe 1 de la Convention, première partie : directives FCCC pour la notification des inventaires annuels (directives de la CCNUCC pour la notification des inventaires) adoptées par la décision 24/CP.19 en 2013. Le rapport annuel d'inventaire se compose du Rapport d'inventaire national (RIN) et des tableaux du Cadre uniformisé de présentation de rapports (CUPR).Les gaz pour lesquels les émissions sont estimées comprennent le dioxyde de carbone (CO2), le méthane (CH4), l'oxyde de diazote (N2O), les hydrofluorocarbones (HFC), les perfluorocarbones (PFC), l'hexaflorure de soufre (SF6) et la triflorure d'azote (NF3). Notez que pour tenir compte de la création du Nunavut en 1999, les données pour les années précédant 1999 montrent le Nunavut et les Territoires du Nord-Ouest comme une seule région. En apprendre plus sur l'inventaire canadien des gaz à effet de serre : https://www.canada.ca/inventaire-ges Nous contacter : https://www.canada.ca/fr/environnement-changement-climatique/services/changements-climatiques/emissions-gaz-effet-serre/coordonnees-equipe.html Renseignements supplémentaires Le sommaire du RIN est disponible sur le site web d'Environnement Canada : https://www.canada.ca/fr/environnement-changement-climatique/services/changements-climatiques/emissions-gaz-effet-serre.html Le RIN complète est disponible sur le site web de la Convention-cadre des Nations Unies sur les changements climatiques : https://unfccc.int/ghg-inventories-annex-i-parties/2022 Soutien aux projets : Ces données sont une partie des travaux publiés par le Canada dans la présentation du Rapport d'inventatire national (RIN) en 2022. Canada's official national greenhouse gas inventory is prepared and submitted annually to the United Nations Framework Convention on Climate Change (UNFCCC) by April 15 of each year, in accordance with the revised Guidelines for the preparation of national communications by Parties included in Annex I to the Convention, Part I: UNFCCC reporting guidelines on annual inventories (UNFCCC Reporting Guidelines), adopted through Decision 24/CP.19 in 2013. The annual inventory submission consists of the National Inventory Report (NIR) and the Common Reporting Format (CRF) tables. Gases for which emissions are estimated include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFC), perfluorocarbons (PFC), sulfur hexafluoride (SF6) and nitrogen trifluoride (NF3). Note that to account for the creation of Nunavut in 1999, data for years preceding 1999 show Nunavut and Northwest Territories as a combined region. Learn more about Canada's greenhouse gas inventory: https://www.canada.ca/ghg-inventory Contact us: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/contact-team.html Supplemental Information The Executive Summary of Canada's NIR is available on Environment Canada's website: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions.html The complete NIR is available on the United Nations Framework Convention on Climate Change's website: https://unfccc.int/ghg-inventories-annex-i-parties/2022 Supporting Projects: This data is a portion of the work published by Canada in the 2022 submission of the National Inventory Report (NIR).

  • Research data . 2022
    Open Access
    Authors: 
    Environment and Climate Change Canada | Environnement et Changement climatique Canada;
    Publisher: Open Data Canada

    Le carbone noir est une petite particule d'aérosol (ou aérienne) de courte durée de vie liée au réchauffement climatique et aux effets nocifs sur la santé. Il est rejeté par la combustion incomplète de carburants à base de carbone (c.-à-d. les combustibles fossiles, les biocarburants ou le bois) sous la forme de matière particulaire très fine. Le carbone noir n'est pas rejeté seul, mais en tant que composante d'une matière particulaire d'un diamètre inférieur ou égal à 2,5 micromètres (PM2,5). En tant que membre du Conseil de l'Arctique, le Canada est engagé à produire un inventaire annuel des émissions de carbone noir. Ces données serviront à informer les Canadiens au sujet des émissions de carbone noir et à fournir des renseignements inestimables pour l'élaboration de stratégies de gestion de la qualité de l'air. Les données utilisées pour la compilation du rapport proviennent des sections de l'Inventaire des émissions de polluants atmosphériques (IEPA) en particulier pour les émissions de matières particulaires fines (PM2,5) provenant de sources liées à la combustion. Nous contacter : apei-iepa@ec.gc.ca iepa@ec.gc Nous contacter : apei-iepa@ec.gc.ca Pour un complément d'information sur l'Inventaire des émissions de carbone noir du Canada, consulter : https://Canada.ca/carbone-noir Pour les émissions canadiennes d'autres polluants atmosphériques, se reporter à l'Inventaire des émissions de polluants atmosphériques : https://Canada.ca/IEPA Le programme des Indicateurs canadiens de durabilité de l'environnement (ICDE) d'Environnement Canada permet d'obtenir des renseignements supplémentaires : https://www.canada.ca/fr/environnement-changement-climatique/services/indicateurs-environnementaux.html Outil d'interrogation interactif de l'IEPA et carbone noir : https://pollution-waste.canada.ca/air-emission-inventory/?GoCTemplateCulture=fr-CA Black carbon is a short-lived, small aerosol (or airborne) particle linked to both climate warming and adverse health effects. It is emitted from incomplete combustion of carbon-based fuels (i.e., fossil fuels, biofuels, wood) in the form of very fine particulate matter. Black carbon is not emitted on its own, but as a component of particulate matter less than or equal to 2.5 micrometres in diameter (PM2.5). As a member of the Arctic Council, Canada has committed to producing an annual inventory of black carbon emissions. This data will serve to inform Canadians about black carbon emissions and provide valuable information for the development of air quality management strategies. The data used to compile the report originate from sections of the Air Pollutant Emission Inventory (APEI) specifically fine particulate matter (PM2.5) emissions from combustion-related sources. Contact us: apei-iepa@ec.gc.ca For more information on Canada's Black Carbon Inventory, please visit: https://Canada.ca/black-carbon For Canada's emissions of other air pollutants, please reference the Air Pollutant Emission Inventory: https://Canada.ca/APEI More information is available through Environment Canada's Canadian Environmental Sustainability Indicators program (CESI): https://www.canada.ca/en/environment-climate-change/services/environmental-indicators.html APEI and Black Carbon Interactive Query Tool: https://pollution-waste.canada.ca/air-emission-inventory

  • Research data . 2022
    Open Access
    Authors: 
    Centre for Earth Observation Science;
    Publisher: University of Manitoba

    The dataset is a compilation of data measured and calculated by Team 3 and Team 4 from aboard the CCGS Amundsen for the BaySys project. The data were collected over several campaigns: Hudson Bay Amundsen Campaign Leg 1 and Leg 2, Churchill River and Mobile Ice Survey, and Nelson Estuary Landfast Ice Survey. The data is curated in order to understand and analyze principal components of the carbon system across the Hudson Bay.

  • Open Access English
    Authors: 
    Strauss, Jens; Laboor, Sebastian; Schirrmeister, Lutz; Fedorov, Alexander N; Fortier, Daniel; Froese, Duane G; Fuchs, Matthias; Günther, Frank; Grigoriev, Mikhail N; Harden, Jennifer W; +19 more
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | PETA-CARB (338335)

    Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.

  • Open Access
    Authors: 
    Andrea, Spolaor; Marco, Vecchiato; Alice, Callegaro; Niccolo, Maffezzoli; Cairns Warren, R.L.; Carlo, Barbante;
    Publisher: Zenodo
    Project: EC | ACTRIS-2 (654109), EC | ERA-PLANET (689443)

    The produced dataset (in MS Excel format) contains concentrations of mercury, trace elements and organic contaminants in snow samples collected in the Ny-Alesund area (Svalbard - Norway) (78.917° N 11.933° E) and from the Antarctic Plateau, Dome C (75.103°S, 123.35°E). The Arctic sampling sites are reported in figure 1. The concentrations for trace elements and mercury are in ngg-1 while for the organic contaminants they are reported in ngL-1. The inorganic contaminants dataset reports concentration of Hg, Trace elements and Black Carbon in Arctic and Antarctic site. The Arctic sites are subdivided in annual snow pack on the glacier and surface snow sampling close to the Gruvebadet Aerosol Laboratory. In Antarctica mercury concentrations in surface snow are also reported. The organic contaminants dataset reports the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) in surface snow samples collected close to the Gruvebadet Aerosol Laboratory (78.91622°N 11.89536°E, Ny Alesund, Norway). Samplings were performed from 04/10/2018 to 13/05/2019, obtaining a total of 35 samples, encompassing the entire winter season with an approximatively weekly resolution. Total PAH (sum of naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, benzo(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k) fluoranthene, benzo(a)pyrene, benzo(ghi)perylene, indeno(1,2,3-c,d)pyrene and dibenzo(a,h)anthracene) concentrations range from 0.8 to 37 ng L-1. Individual PAHs were mean blank corrected and average percentage abundances in the samples are reported in the dataset. {"references": ["Pet\u00e4j\u00e4, T., et al., Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) \u2013 concept and initial results. Atmos. Chem. Phys., 2020. 20(14): p. 8551-8592.", "Bert\u00f2, M., et al., Variability in black carbon mass concentration in surface snow at Svalbard. Atmos. Chem. Phys., 2021. 21(16): p. 12479-12493.", "Cairns, W.R.L., et al., Mercury in precipitated and surface snow at Dome C and a first estimate of mercury depositional fluxes during the Austral summer on the high Antarctic plateau. Atmospheric Environment, 2021. 262: p. 118634."]}

  • Open Access
    Authors: 
    Retelletti Brogi, Simona;
    Publisher: Mendeley

    The dataset includes information on dissolved organic matter concentration (DOC) and quality (CDOM, FDOM) in the Arno River (Italy) in 2014 and 2015, together with water temperature and river discharge on the sampling dates. Weekly samples were collected from a station located in the lower part of the river, the closest point to the mouth, not influenced by seawater. Methods: Surface (upper 1m) water samples were collected in the center of the river from a bridge using an acid-washed Teflon sampler. Water temperature was measured by a portable Hanna 9033 probe (Hanna Instruments Inc., USA); Daily average river discharge are available from the Regional Hydrological Service (www.sir.toscana.it); Samples for DOM analyses were collected into acid-washed polycarbonate bottles (Nalgene) and kept refrigerated and in the dark until filtration. Samples were filtered through a 0.2 μm pore size filter (Whatman Polycap, 6705-3602 capsules) and dispensed into 3 x 60 ml acid-washed polycarbonate (Nalgene) bottles, used as analytical replicates. DOC, CDOM, and FDOM were immediately measured after filtration. DOC was measured by high-temperature catalytic oxidation using a Shimadzu Total Organic Carbon analyzer (TOC-Vcsn). The instrument performance was verified by comparison with DOC Consensus Reference Waters (Hansell, 2005) (CRM Batch #13 nominal concentration of 41-44 μM; measured concentration 42.3 ± 0.9 μM, n=88) Absorbance spectra (230 to 700 nm) were measured using a Jasco UV-visible spectrophotometer (Mod-7850) with a 10 cm quartz cuvette. Fluorescence excitation-emission Matrixes (EEMs) were obtained using the Aqualog spectrofluorometer (Horiba). Excitation ranged between 250 and 450 nm at 5 nm increment, emission was recorded between 212 and 620 nm every 0.8 nm with an integration time of 5 seconds. The EEMs were subtracted by the EEM of Milli-Q water and corrected for the inner-filter effect. Rayleigh and Raman scatter peaks were removed by using the monotone cubic interpolation and EEMs were normalized by the integrated Raman band of Milli-Q water (λex= 350 nm; λex= 371-428 nm). PARAFAC analysis (drEEM Toolbox) resulted in a 5-component model. Samples for Heterotrophic Prokaryotes Abundance (HPA) were fixed for 10 min with a mix of paraformaldehyde (PF, 1%) and glutaraldehyde (GL, 0.05%), frozen in liquid N2 and stored at -80 °C until the analysis. Once thawed, samples were stained with SYBR Green (Invitrogen Milan, Italy) 10-3 dilution of stock solution for 15 min at room temperature. Heterotrophic prokaryotes (HP) cell concentrations were estimated using a FACSVerse flow cytometer (BD BioSciences Inc, Frankyn Lakes, USA) equipped with a 488 nm Ar laser and standard filter set. Data analysis was performed using the FCS Express software and HP discriminated from other particles based on scatter and green fluorescence from SYBR Green.

  • Open Access English
    Authors: 
    Gorodetskaya, Irina V.; Thurnherr, Iris; Tsukernik, Maria; Graf, Pascal; Aemisegger, Franziska; Wernli, Heini; Ralph, F. Martin;
    Publisher: Zenodo

    Dataset abstract The data set consists of the vertical profiles of the atmospheric variables measured using radiosondes (i-Met) during the Antarctic Circumnavigation Expedition from November 2016 to April 2017. The data include the raw variables measured directly by the radiosondes and derived parameters: altitude (km), air pressure (mb), air temperature (ºC), relative humidity (%), frostpoint (ºC), potential temperature (ºK), water vapour mixing ratio (ppmv), total column water (mm w.e.), wind speed (m/s) and wind direction (deg). Dataset contents aceNNN_yyyymmdd, directory aceNNN_yyyymmdd.csv, data file, comma-separated values aceNNN_yyyymmdd.kml, metadata, XML aceNNN_yyyymmdd.raw, data file, raw, ASCII DOS aceNNN_yyyymmdd.raw_config, metadata, XML aceNNN.de1, metadata, ASCII text format aceNNNflt.dat, data file, ASCII text format aceNNNpre.dat, data file, ASCII text format plots, directory Sounding_ACENNN.png, metadata, portable network graphics data_file_header_csv.txt, metadata, text format data_file_header_dat.txt, metadata, text format data_file_header_launches.txt, metadata, text format README.txt, metadata, text format overview_radiosonde_launches.csv, metadata, comma-separated value where NNN is the launch number yyyy is the year, mm is the month and dd is the day. Dates are in UTC. json files make up a Frictionless Data package. Dataset citation Please cite this dataset as: Gorodetskaya, I.V., Thurnherr, I., Tsukernik, M., Graf, P., Aemisegger, F., Wernli, H. and Ralph, F.M. (2021). Atmospheric profiling data collected from radiosondes in the Southern Ocean in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition. (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4382460 The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. The radiosonde programme was possible thanks a collaboration between Irina Gorodetskaya (CESAM, ACE project 18), Marty Ralph (Scripps Institute of Oceanography, UCSD) and Heini Wernli (ETHZ, ACE project 11) assuring the purchase of radiosondes, CLWC sensors, and accessories (balloons, de-reelers), and providing helium and ground equipment. We thank Emrys Hall and Dale Hurst (NOAA Global Monitoring Laboratory) for advice on i-Met-1 radiosonde performance. We are grateful to the crew of R/V Akademik Tryoshnikov for providing a mobile shelter for balloon preparation. We thank many ACE expedition participants who helped with launching the balloons. Special thanks to Guisella Gacitua for helping to find helium vendors in Punta Arenas. IG's participation in ACE was supported by ACE project 18 (PIs Katherine Leonard and Michael Lehning, EPFL) supported by grants from the SPI, the BNP Paribas Foundation, and the Swiss National Science Foundation (grant PZ00P2_142684). IG also thanks FCT/ MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020) and FCT project ATLACE (CIRCNA/CAC/0273/2019) through national funds. IT and PG were supported by grants from the SPI and the BNP Paribas Foundation. {"references": ["King, M. C. Bognar, J. A., Guest, D. and Bunt, F. (2016). Vibrating-Wire, Supercooled Liquid Water Content Sensor Calibration and Characterization Progress, Report NASA/TM\u20142016-219129, 6; National Aeronautics and Space Administration, Clevelend, Ohio, USA.", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.1443511", "Landwehr, S., Thomas, J., Gorodetskaya, I., Thurnherr, I., Robinson, C., and Schmale, J. (2019). Quality-checked meteorological data from the Southern Ocean collected during the Antarctic Circumnavigation Expedition from December 2016 to April 2017. Dataset. Zenodo. https://doi.org/10.5281/zenodo.3379590", "Hurst, D. F., Hall, E. G., Jordan, A. F., Miloshevich, L. M., Whiteman, D. N., Leblanc, T., Walsh, D., V\u00f6mel, H., and Oltmans, S. J. (2011). Comparisons of temperature, pressure and humidity measurements by balloon-borne radiosondes and frost point hygrometers during MOHAVE-2009, Atmos. Meas. Tech., 4, 2777\u20132793,\u00a0https://doi.org/10.5194/amt-4-2777-2011"]}

  • Open Access English
    Authors: 
    Li, Chenzhi; Postl, Alexander; Böhmer, Thomas; Dolman, Andrew M; Herzschuh, Ulrike;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science

    This dataset presents global revised age models for taxonomically harmonized fossil pollen records. The age-depth models were established from mostly Intcal20-calibrated radiocarbon datings with a predefined parameter setting. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia. In the Southern Hemisphere, there are 150 sites in South America, 54 in Africa, and 32 in the Indopacific region. Datings, mostly C14, were retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection. The related age records were revised by applying a similar approach, i.e., using the Bayesian age-depth modeling routine in R-BACON software. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data), we used the already published PANGAEA event names in case they are related to the data or created our own site names with referencing to geographical regions similar to the Neotoma data naming principle.

  • Open Access English
    Authors: 
    Ronge, Thomas A; Frische, Matthias; Fietzke, Jan; Stephens, Alyssa; Bostock, Helen C; Tiedemann, Ralf;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science

    Here we show how surface sediment samples from ten locations from the Pacific Sector of the Southern Ocean and the downcore LGM to Holocene carbonate system of intermediate water sediment record PS75/104-1 offshore New Zealand. We measured foraminiferal B/Ca ratios via laser ablation-inductively coupled-mass spectrometry (LA-ICP-MS) and used the calibration of Yu et al. (2013) for Cibicidoides wuellerstorfi and Ronge et al. (under review) for C. dispars. Measurements were conducted at the GEOMAR in Kiel in 2013.

  • English
    Authors: 
    Chen, Shao-Min; Riebesell, Ulf; Schulz, Kai Georg; von der Esch, Elisabeth; Achterberg, Eric Pieter; Bach, Lennart Thomas;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: EC | AQUACOSM (731065), EC | AQUACOSM-plus (871081)

    Oxygen minimum zones (OMZs) in the ocean are characterized by enhanced carbon dioxide (CO2) levels and are being further acidified by increasing anthropogenic atmospheric CO2. To investigate how on-going ocean deoxygenation will impact biogeochemical processes, a large-scale mesocosm experiment was conducted offshore Peru in austral summer (Feb-Apr) 2017, coinciding with a rare coastal El Niño event. We deployed eight mesocosms, each with a volume of 55 m3 and a length of 19 m, at the surface water in the coastal area of Callao (12.06° S, 77.23° W). The mesocosm bags were filled by surrounding surface water with daily or every-2nd-day nutrient and CO2 measurements for 10 days to monitor the initial conditions. Deep water masses from two different locations in the nearby OMZs were collected (at a depth of 30 and 70 m, respectively) and added to the mesocosms to simulate upwelling events on day 13 (see Bach et al., 2020 for details). Here we report every-2nd-day measurements of carbonate chemistry parameters in the individual mesocosms and the surrounding Pacific waters over 50 days. Depth-integrated seawater samples were taken from the surface (0-10 m for day 3-28; 0-12.5 m for day 29-50) and bottom layer (10-17 m for day 3-28; 12.5-17 m for day 29-50) of the mesocosms and the surrounding coastal water (named “Pacific”) using a 5-L integrating water sampler. Total alkalinity (TA) was measured by a two-stage open-cell potentiometric titration using a Metrohm 862 Compact Titrosampler, Aquatrode Plus (Pt1000) and a 907 Titrando unit, and pH (total scale) was measured spectrophotometrically by measuring the absorbance ratios after adding the indicator dye m-cresol purple (mCP) on a Varian-Cary 100 double-beam spectrophotometer (Varian). With inputs of the measured TA and pH, other CO2 parameters, such as dissolved inorganic carbon, pCO2, calcite and aragonite saturation state, and CO2 fluxes (FCO2), were calculated using the Excel version of CO2SYS. The performance of pH and TA measurements were also evaluated by examining the standard deviations and range controls of triplicate measurements of samples or reference materials. Our observations showed an acidification of surface water in the mesocosms by the OMZ water addition, followed by a rapid drop in pCO2 to near or below the atmospheric level due to enhance phytoplankton production. The positive CO2 fluxes in the surrounding Pacific waters indicated our study site was a local CO2 source during our study. Nevertheless, our mesocosm experiment suggests this CO2 export to the atmosphere can be largely dampened by biological processes. As a unique dataset that characterized near-shore carbonate chemistry with a high temporal resolution during a rare coastal El Niño event, our study gives important insights into the carbonate chemistry responses to extreme climate events in the Peruvian upwelling system.