A multi-year time series of observation-based 3D horizontal and vertical quasi-geostrophic global ocean currents
A multi-year time series of observation-based 3D horizontal and vertical quasi-geostrophic global ocean currents
复制标题
基于观测的 3D 水平和垂直准地转全球洋流的多年时间序列
DOI:
10.5194/essd-12-1711-2020
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发表时间:
2020
影响因子:
11.4
通讯作者:
B. Buongiorno Nardelli
中科院分区:
文献类型:
--
作者:
B. Buongiorno Nardelli
Abstract. Estimates of 3D ocean circulation are needed to improve our
understanding of ocean dynamics and to assess their impact on marine
ecosystems and Earth climate. Here we present the OMEGA3D product, an
observation-based time series of (quasi-)global 3D ocean currents covering
the 1993–2018 period, developed by the Italian Consiglio Nazionale delle
Ricerche within the European Copernicus Marine Environment Monitoring
Service (CMEMS). This dataset was obtained by applying a diabatic
quasi-geostrophic (QG) diagnostic model to the data-driven CMEMS-ARMOR3D weekly
reconstruction of temperature and salinity as well as ERA Interim fluxes. Outside
the equatorial band, vertical velocities were retrieved in the upper 1500 m at 1∕4 ∘ nominal resolution and successively used to
compute the horizontal ageostrophic components. Root mean square differences between OMEGA3D total horizontal velocities and totally independent drifter
observations at two different depths (15 and 1000 m) decrease with respect
to corresponding estimates obtained from zero-order geostrophic balance,
meaning that estimated vertical velocities can also be deemed reliable.
OMEGA3D horizontal velocities are also closer to drifter observations than
velocities provided by a set of reanalyses spanning a comparable time
period but based on data assimilation in ocean general circulation
numerical models. The full OMEGA3D product (released on 31 March 2020) is available
upon free registration at https://doi.org/10.25423/cmcc/multiobs_glo_phy_w_rep_015_007 (Buongiorno Nardelli, 2020a). The reduced subset used here for validation and review purposes is
openly available at https://doi.org/10.5281/zenodo.3696885
(Buongiorno Nardelli, 2020b).
影响因子:
4.9
作者:
Carton, James A.;Chepurin, Gennady A.;Chen, Ligang
通讯作者:
Chen, Ligang