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Optimizing Mooring Placement to Constrain Southern Ocean Air-Sea Fluxes.

Authors :
YANZHOU WEI
GILLE, SARAH T.
MAZLOFF, MATTHEW R.
TAMSITT, VERONICA
SWART, SEBASTIAAN
DAKE CHEN
NEWMAN, LOUISE
Source :
Journal of Atmospheric & Oceanic Technology; Aug2020, Vol. 37 Issue 8, p1365-1385, 21p
Publication Year :
2020

Abstract

Proposals frommultiple nations to deploy air-sea flux moorings in the Southern Ocean have raised the question of how to optimize the placement of these moorings in order to maximize their utility, both as contributors to the network of observations assimilated in numerical weather prediction and also as a means to study a broad range of processes driving air-sea fluxes. This study, developed as a contribution to the SouthernOcean Observing System(SOOS), proposes criteria that can be used to determine mooring siting to obtain best estimates of net air-sea heat flux (Q<subscript>net</subscript>). Flux moorings are envisioned as one component of a multiplatform observing system, providing valuable in situ point time series measurements to be used alongside satellite data and observations from autonomous platforms and ships. Assimilating models (e.g., numerical weather prediction and reanalysis products) then offer the ability to synthesize the observing system and map properties between observations. This paper develops a framework for designing mooring array configurations to maximize the independence and utility of observations. As a test case, within the meridional band from 358 to 658S we select eight mooring sites optimized to explain the largest fraction of the total variance (and thus to ensure the least variance of residual components) in the area south of 208S. Results yield different optimal mooring sites for lowfrequency interannual heat fluxes compared with higher-frequency subseasonal fluxes. With eight moorings, we could explain a maximum of 24.6% of high-frequency Q<subscript>net</subscript> variability or 44.7% of low-frequency Q<subscript>net</subscript> variability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07390572
Volume :
37
Issue :
8
Database :
Complementary Index
Journal :
Journal of Atmospheric & Oceanic Technology
Publication Type :
Academic Journal
Accession number :
145396838
Full Text :
https://doi.org/10.1175/JTECH-D-19-0203.1