ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Aerosol Observing System; AOS; Arctic Ocean; central Arctic Ocean; DATE/TIME; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; O3_MONITOR; OZA; ozone; Ozone, dry-air mole fraction; Ozone analyzer; Ozone monitor; Polarstern; PS122/1; PS122/1_1-342; PS122/1_1-54; PS122/1_1-76; PS122/2; PS122/2_14-15; PS122/2_14-167; PS122/2_14-254; PS122/3; PS122/3_28-13; PS122/3_28-35; PS122/4; PS122/4_43-127; PS122/4_43-27; PS122/4_43-60; PS122/5; PS122/5_58-14; PS122/5_58-28  (1)
  • Gas transfer velocity  (1)
Collection
Keywords
Publisher
Years
  • 1
    Publication Date: 2024-07-01
    Description: This dataset contains hourly-averaged ozone dry air mole fractions measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. This is a merged dataset that combines cross-evaluated measurements performed in the University of Colorado (CU), the Atmospheric Radiation Measurement (ARM) Program, and Swiss containers onboard Research Vessel Polarstern. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the ozone dry air mole fraction in nmol/mol, and the sampling location.
    Keywords: Aerosol Observing System; AOS; Arctic Ocean; central Arctic Ocean; DATE/TIME; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; O3_MONITOR; OZA; ozone; Ozone, dry-air mole fraction; Ozone analyzer; Ozone monitor; Polarstern; PS122/1; PS122/1_1-342; PS122/1_1-54; PS122/1_1-76; PS122/2; PS122/2_14-15; PS122/2_14-167; PS122/2_14-254; PS122/3; PS122/3_28-13; PS122/3_28-35; PS122/4; PS122/4_43-127; PS122/4_43-27; PS122/4_43-60; PS122/5; PS122/5_58-14; PS122/5_58-28
    Type: Dataset
    Format: text/tab-separated-values, 16262 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-02-21
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Fairall, C. W. W., Yang, M., Brumer, S. E. E., Blomquist, B. W. W., Edson, J. B. B., Zappa, C. J. J., Bariteau, L., Pezoa, S., Bell, T. G. G., & Saltzman, E. S. S. Air-Sea trace gas fluxes: direct and indirect measurements. Frontiers in Marine Science, 9, (2022): 826606, https://doi.org/10.3389/fmars.2022.826606.
    Description: The past decade has seen significant technological advance in the observation of trace gas fluxes over the open ocean, most notably CO2, but also an impressive list of other gases. Here we will emphasize flux observations from the air-side of the interface including both turbulent covariance (direct) and surface-layer similarity-based (indirect) bulk transfer velocity methods. Most applications of direct covariance observations have been from ships but recently work has intensified on buoy-based implementation. The principal use of direct methods is to quantify empirical coefficients in bulk estimates of the gas transfer velocity. Advances in direct measurements and some recent field programs that capture a considerable range of conditions with wind speeds exceeding 20 ms-1 are discussed. We use coincident direct flux measurements of CO2 and dimethylsulfide (DMS) to infer the scaling of interfacial viscous and bubble-mediated (whitecap driven) gas transfer mechanisms. This analysis suggests modest chemical enhancement of CO2 flux at low wind speed. We include some updates to the theoretical structure of bulk parameterizations (including chemical enhancement) as framed in the COAREG gas transfer algorithm.
    Description: This work, and the contributions of MY and TB, is supported by the UK Natural Environment Research Council’s ORCHESTRA (Grant No. NE/N018095/1) and PICCOLO (Grant No. NE/P021409/1) projects, and by the European Space Agency’s AMT4OceanSatFlux project (Grant No. 4000125730/18/NL/FF/gp). CF and BB are funded by the National Oceanic and Atmospheric Administration’s Global Ocean Monitoring and Observing program (http://data.crossref.org/fundingdata/funder/10.13039/100018302). CZ was funded by the National Science Foundation (CJZ: OCE-2049579, Grants OCE-1537890 and OCE-1923935). Funding for HiWinGS was provided by the US National Science Foundation grant AGS-1036062. The Knorr-11 and SOAP campaigns were supported by the NSF Atmospheric Chemistry Program (Grant No. ATM-0426314, AGS-08568, -0851472, -0851407 and -1143709).
    Keywords: Gas transfer velocity ; Chemical enhancement ; Bubble mediated transfer ; COARE gas flux parameterization ; Dimethylsufide (DMS) ; Cardon dioxide (CO2) ; Bulk algorithm ; Direct observation
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...