Kozyr Alex

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Kozyr
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Alex
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  • Article
    Data management strategy to improve global use of ocean acidification data and information
    (The Oceanography Society, 2015-06) Garcia, Hernan E. ; Cosca, Catherine E. ; Kozyr, Alex ; Mayorga, Emilio ; Chandler, Cynthia L. ; Thomas, Robert W. ; O’Brien, Kevin ; Appeltans, Ward ; Hankin, Steve ; Newton, Jan A. ; Gutierrez, Angelica ; Gattuso, Jean-Pierre ; Hansson, Lina ; Zweng, Melissa ; Pfeil, Benjamin
    Ocean acidification (OA) refers to the general decrease in pH of the global ocean as a result of absorbing anthropogenic CO2 emitted in the atmosphere since preindustrial times (Sabine et al., 2004). There is, however, considerable variability in ocean acidification, and many careful measurements need to be made and compared in order to obtain scientifically valid information for the assessment of patterns, trends, and impacts over a range of spatial and temporal scales, and to understand the processes involved. A single country or institution cannot undertake measurements of worldwide coastal and open ocean OA changes; therefore, international cooperation is needed to achieve that goal. The OA data that have been, and are being, collected represent a significant public investment. To this end, it is critically important that researchers (and others) around the world are easily able to find and use reliable OA information that range from observing data (from time-series moorings, process studies, and research cruises), to biological response experiments (e.g., mesocosm), data products, and model output.
  • Article
    Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends
    (Copernicus Publications, 2019-03-26) Sutton, Adrienne J. ; Feely, Richard A. ; Maenner-Jones, Stacy ; Musielwicz, Sylvia ; Osborne, John ; Dietrich, Colin ; Monacci, Natalie ; Cross, Jessica N. ; Bott, Randy ; Kozyr, Alex ; Andersson, Andreas J. ; Bates, Nicholas R. ; Cai, Wei-Jun ; Cronin, Meghan F. ; De Carlo, Eric H. ; Hales, Burke ; Howden, Stephan D. ; Lee, Charity M. ; Manzello, Derek P. ; McPhaden, Michael J. ; Meléndez, Melissa ; Mickett, John B. ; Newton, Jan A. ; Noakes, Scott ; Noh, Jae Hoon ; Olafsdottir, Solveig R. ; Salisbury, Joseph E. ; Send, Uwe ; Trull, Thomas W. ; Vandemark, Douglas ; Weller, Robert A.
    Ship-based time series, some now approaching over 3 decades long, are critical climate records that have dramatically improved our ability to characterize natural and anthropogenic drivers of ocean carbon dioxide (CO2) uptake and biogeochemical processes. Advancements in autonomous marine carbon sensors and technologies over the last 2 decades have led to the expansion of observations at fixed time series sites, thereby improving the capability of characterizing sub-seasonal variability in the ocean. Here, we present a data product of 40 individual autonomous moored surface ocean pCO2 (partial pressure of CO2) time series established between 2004 and 2013, 17 also include autonomous pH measurements. These time series characterize a wide range of surface ocean carbonate conditions in different oceanic (17 sites), coastal (13 sites), and coral reef (10 sites) regimes. A time of trend emergence (ToE) methodology applied to the time series that exhibit well-constrained daily to interannual variability and an estimate of decadal variability indicates that the length of sustained observations necessary to detect statistically significant anthropogenic trends varies by marine environment. The ToE estimates for seawater pCO2 and pH range from 8 to 15 years at the open ocean sites, 16 to 41 years at the coastal sites, and 9 to 22 years at the coral reef sites. Only two open ocean pCO2 time series, Woods Hole Oceanographic Institution Hawaii Ocean Time-series Station (WHOTS) in the subtropical North Pacific and Stratus in the South Pacific gyre, have been deployed longer than the estimated trend detection time and, for these, deseasoned monthly means show estimated anthropogenic trends of 1.9±0.3 and 1.6±0.3 µatm yr−1, respectively. In the future, it is possible that updates to this product will allow for the estimation of anthropogenic trends at more sites; however, the product currently provides a valuable tool in an accessible format for evaluating climatology and natural variability of surface ocean carbonate chemistry in a variety of regions. Data are available at https://doi.org/10.7289/V5DB8043 and https://www.nodc.noaa.gov/ocads/oceans/Moorings/ndp097.html (Sutton et al., 2018).
  • Article
    Best practice data standards for discrete chemical oceanographic observations
    (Frontiers Media, 2022-01-21) Jiang, Li-Qing ; Pierrot, Denis ; Wanninkhof, Rik ; Feely, Richard A. ; Tilbrook, Bronte ; Alin, Simone R. ; Barbero, Leticia ; Byrne, Robert H. ; Carter, Brendan ; Dickson, Andrew G. ; Gattuso, Jean-Pierre ; Greeley, Dana ; Hoppema, Mario ; Humphreys, Matthew P. ; Karstensen, Johannes ; Lange, Nico ; Lauvset, Siv K. ; Lewis, Ernie R. ; Olsen, Are ; Perez, Fiz F. ; Sabine, Christopher ; Sharp, Jonathan D. ; Tanhua, Toste ; Trull, Thomas W. ; Velo, Anton ; Allegra, Andrew J. ; Barker, Paul M. ; Burger, Eugene ; Cai, Wei-Jun ; Chen, Chen-Tung A. ; Cross, Jessica N. ; Garcia, Hernan E. ; Hernandez-Ayon, Jose Martin ; Hu, Xinping ; Kozyr, Alex ; Langdon, Chris ; Lee, Kitack ; Salisbury, Joseph E. ; Wang, Zhaohui Aleck ; Xue, Liang
    Effective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above.