Jiang Li-Qing

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Jiang
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Li-Qing
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  • 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.
  • Article
    Data reporting and sharing for ocean alkalinity enhancement research
    (Copernicus Publications, 2023-11-27) Jiang, Li-Qing ; Subhas, Adam V. ; Basso, Daniela ; Fennel, Katja ; Gattuso, Jean-Pierre
    Effective management of data is essential for successful ocean alkalinity enhancement (OAE) research, as it guarantees the long-term preservation, interoperability, discoverability, and accessibility of data. OAE research generates various types of data, such as discrete bottle measurements, autonomous measurements from surface underway and uncrewed platforms (e.g., moorings, Saildrones, gliders, Argo floats), physiological response studies (e.g., laboratory, mesocosm, and field experiments, and natural analogues), and model outputs. This paper addresses data and metadata standards for all these types of OAE data. As part of this study, existing data standards have been updated to accommodate OAE research needs, and a completely new physiological response data standard has been introduced. Additionally, an existing ocean acidification metadata template has been upgraded to be applicable to OAE research. This paper also presents controlled vocabularies for OAE research, including types of OAE studies, source materials for alkalinization, platforms, and instruments. These guidelines will aid OAE researchers in preparing their metadata and data for submission to permanent archives. Finally, the paper provides information about available data assembly centers that OAE researchers can utilize for their data needs. The guidelines outlined in this paper are applicable to ocean acidification research as well.
  • Article
    Global surface ocean acidification indicators from 1750 to 2100
    (American Geophysical Union, 2023-03-23) Jiang, Li-Qing ; Dunne, John ; Carter, Brendan R. ; Tjiputra, Jerry F. ; Terhaar, Jens ; Sharp, Jonathan D. ; Olsen, Are ; Alin, Simone ; Bakker, Dorothee C. E. ; Feely, Richard A. ; Gattuso, Jean-Pierre ; Hogan, Patrick ; Ilyina, Tatiana ; Lange, Nico ; Lauvset, Siv K. ; Lewis, Ernie R. ; Lovato, Tomas ; Palmieri, Julien ; Santana-Falcon, Yeray ; Schwinger, Joerg ; Seferian, Roland ; Strand, Gary ; Swart, Neil ; Tanhua, Toste ; Tsujino, Hiroyuki ; Wanninkhof, Rik ; Watanabe, Michio ; Yamamoto, Akitomo ; Ziehn, Tilo
    Accurately predicting future ocean acidification (OA) conditions is crucial for advancing OA research at regional and global scales, and guiding society's mitigation and adaptation efforts. This study presents a new model-data fusion product covering 10 global surface OA indicators based on 14 Earth System Models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), along with three recent observational ocean carbon data products. The indicators include fugacity of carbon dioxide, pH on total scale, total hydrogen ion content, free hydrogen ion content, carbonate ion content, aragonite saturation state, calcite saturation state, Revelle Factor, total dissolved inorganic carbon content, and total alkalinity content. The evolution of these OA indicators is presented on a global surface ocean 1° × 1° grid as decadal averages every 10 years from preindustrial conditions (1750), through historical conditions (1850–2010), and to five future Shared Socioeconomic Pathways (2020–2100): SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. These OA trajectories represent an improvement over previous OA data products with respect to data quantity, spatial and temporal coverage, diversity of the underlying data and model simulations, and the provided SSPs. The generated data product offers a state-of-the-art research and management tool for the 21st century under the combined stressors of global climate change and ocean acidification. The gridded data product is available in NetCDF at the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0259391.html, and global maps of these indicators are available in jpeg at: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/surface-oa-indicators.html.