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Evaluation of Simulated Marine Aerosol Production Using the WaveWatchIII Prognostic Wave Model Coupled to the Community Atmosphere Model within the Community Earth System Model

Technical Report ·
DOI:https://doi.org/10.2172/1331376· OSTI ID:1331376
 [1];  [2];  [3];  [4];  [3];  [4];  [5];  [6];  [7];  [8];  [4];  [9]
  1. Harvard Univ., Cambridge, MA (United States). School of Engineering and Applied Sciences; University of Virginia
  2. Univ. of Virginia, Charlottesville, VA (United States). Dept. of Environmental Sciences
  3. Univ. of North Dakota, Grand Forks, ND (United States). Dept. of Atmospheric Sciences
  4. Univ. of Rhode Island, Narragansett, RI (United States). Graduate School of Oceanography
  5. Naval Research Lab. (NRL), Monterey, CA (United States)
  6. Brown Univ., Providence, RI (United States). Earth, Environmental and Planetary Sciences
  7. National Center for Atmospheric Research, Boulder, CO (United States)
  8. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
  9. Univ. of Tokyo (Japan). Dept. of Ocean Technology, Policy, and Environment
+ Show Author Affiliations
Primary marine aerosol (PMA) is emitted into the atmosphere via breaking wind waves on the ocean surface. Most parameterizations of PMA emissions use 10-meter wind speed as a proxy for wave action. This investigation coupled the 3rd generation prognostic WAVEWATCH-III wind-wave model within a coupled Earth system model (ESM) to drive PMA production using wave energy dissipation rate – analogous to whitecapping – in place of 10-meter wind speed. The wind speed parameterization did not capture basin-scale variability in relations between wind and wave fields. Overall, the wave parameterization did not improve comparison between simulated versus measured AOD or Na+, thus highlighting large remaining uncertainties in model physics. Results confirm the efficacy of prognostic wind-wave models for air-sea exchange studies coupled with laboratory- and field-based characterizations of the primary physical drivers of PMA production. No discernible correlations were evident between simulated PMA fields and observed chlorophyll or sea surface temperature.
Research Organization:
Univ. of Virginia, Charlottesville, VA (United States); Harvard Univ., Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Contributing Organization:
Univ. of North Dakota, Grand Forks, ND (United States); Univ. of Rhode Island, Narragansett, RI (United States); Naval Research Lab. (NRL), Monterey, CA (United States); Brown Univ., Providence, RI (United States); National Center for Atmospheric Research, Boulder, CO (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tokyo (Japan)
DOE Contract Number:
SC0007120
OSTI ID:
1331376
Report Number(s):
DOE-UVA--0007120
Country of Publication:
United States
Language:
English

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Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
59 BASIC BIOLOGICAL SCIENCES
Marine Aerosol Production
Wave Energetics
Wind-Wave Interactions