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  • 1
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2015. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Global Biogeochemical Cycles 29 (2015): 1165–1178, doi:10.1002/2015GB005106.
    Description: Current global inventories of ammonia emissions identify the ocean as the largest natural source. This source depends on seawater pH, temperature, and the concentration of total seawater ammonia (NHx(sw)), which reflects a balance between remineralization of organic matter, uptake by plankton, and nitrification. Here we compare [NHx(sw)] from two global ocean biogeochemical models (BEC and COBALT) against extensive ocean observations. Simulated [NHx(sw)] are generally biased high. Improved simulation can be achieved in COBALT by increasing the plankton affinity for NHx within observed ranges. The resulting global ocean emissions is 2.5 TgN a−1, much lower than current literature values (7–23 TgN a−1), including the widely used Global Emissions InitiAtive (GEIA) inventory (8 TgN a−1). Such a weak ocean source implies that continental sources contribute more than half of atmospheric NHx over most of the ocean in the Northern Hemisphere. Ammonia emitted from oceanic sources is insufficient to neutralize sulfate aerosol acidity, consistent with observations. There is evidence over the Equatorial Pacific for a missing source of atmospheric ammonia that could be due to photolysis of marine organic nitrogen at the ocean surface or in the atmosphere. Accommodating this possible missing source yields a global ocean emission of ammonia in the range 2–5 TgN a−1, comparable in magnitude to other natural sources from open fires and soils.
    Description: NSF Grant Numbers: AGS-1020594, EF-0424599; WHOI Grant Number: AGS-0328342; UVA; UK SOLAS Knowledge Transfer; SOLAS Project Integration Grant Number: NE/E001696/1
    Description: 2016-02-13
    Keywords: Ocean ; Ammonia ; Nitrogen ; Natural
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/x-tex
    Format: application/pdf
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: EN589 Marine Aerosol Generator Operating Conditions
    Description: This dataset describes the operating conditions for the high-capacity generator that produced primary marine aerosol from western North Atlantic seawater during cruise EN589 on RV/Endeavor during September and October 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/750862
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536608, NSF Division of Ocean Sciences (NSF OCE) OCE-1536605, NSF Division of Ocean Sciences (NSF OCE) OCE-1536674, NSF Division of Ocean Sciences (NSF OCE) OCE-1536597
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: EN589 Aerosol and seawater chemical composition
    Description: This dataset describes the ionic composition of western North Atlantic seawater and the corresponding chemical composition of mPMA produced from that seawater in a high-capacity generator over ranges of operating conditions. Measurements were taken during cruise EN589 on RV/Endeavor during September and October 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/750917
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536608, NSF Division of Ocean Sciences (NSF OCE) OCE-1536605, NSF Division of Ocean Sciences (NSF OCE) OCE-1536674, NSF Division of Ocean Sciences (NSF OCE) OCE-1536597
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
    Publication Date: 2022-05-27
    Description: The Surface Ocean – Lower Atmosphere Study (SOLAS) (http://www.solas-int.org/) is an international research initiative focused on understanding the key biogeochemical-physical interactions and feedbacks between the ocean and atmosphere that are critical elements of climate and global biogeochemical cycles. Following the release of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016), the Ocean-Atmosphere Interaction Committee (OAIC) was formed as a subcommittee of the Ocean Carbon and Biogeochemistry (OCB) Scientific Steering Committee to coordinate US SOLAS efforts and activities, facilitate interactions among atmospheric and ocean scientists, and strengthen US contributions to international SOLAS. In October 2019, with support from OCB, the OAIC convened an open community workshop, Ocean-Atmosphere Interactions: Scoping directions for new research with the goal of fostering new collaborations and identifying knowledge gaps and high-priority science questions to formulate a US SOLAS Science Plan. Based on presentations and discussions at the workshop, the OAIC and workshop participants have developed this US SOLAS Science Plan. The first part of the workshop and this Science Plan were purposefully designed around the five themes of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016) to provide a common set of research priorities and ensure a more cohesive US contribution to international SOLAS.
    Description: This report was developed with federal support of NSF (OCE-1558412) and NASA (NNX17AB17G).
    Repository Name: Woods Hole Open Access Server
    Type: Working Paper
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  • 5
    ISSN: 1520-5851
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Environmental science & technology 27 (1993), S. 866-874 
    ISSN: 1520-5851
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The Cloud Water Project (CWP), initiated in 1983 and coordinated from the Institute of Ecosystem Studies (IBS) in Millbrook, New York, was designed as a synoptic study to make inter- and intra-site comparisons of cloud and rain water chemistry across a wide geographical area, ranging from Puerto ...
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 42 (1988), S. 87-102 
    ISSN: 1573-2932
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Pollutant transport studies and investigations of geochemical cycling often involve calculation of excess (non-seasalt) concentrations for various ions found in precipitation. Excess concentrations are calculated from measurements of the concentrations of a reference species and the species of interest. Formulas for determining the accuracy of calculated excess concentrations are necessary because this accuracy can vary significantly from sample to sample within the same data set, as well as from one study to another. The formulas derived in this paper demonstrate that the standard error of calculated excess concentrations is dependent on the nature and magnitude of the analytical errors made in measuring total concentrations. Application to a real data set indicates that this standard error is often greater than the calculated excess concentration, and that the standard error may vary by orders of magnitude for various samples in the same data set. The magnitude of the potential errors has important implications for the reliability of conclusions based on calculated excess concentrations, while the sample-to-sample variation of these errors complicates the process of determining the accuracy of summary statistics such as the volume-weighted mean concentration. In addition, these variations in accuracy can obscure the relationships between excess concentrations and other variables, both chemical and meteorological. This complicates investigations of source-receptor relationships and geochemical cycling, and may lead to faulty conclusions.
    Type of Medium: Electronic Resource
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