CYCLOCIM: A 4-D variational assimilation system for the climatological mean seasonal cycle of the ocean circulation
CYCLOCIM: A 4-D variational assimilation system for the climatological mean seasonal cycle of the ocean circulation
复制标题
CYCLOCIM:海洋环流气候平均季节循环的 4-D 变分同化系统
DOI:
10.1016/j.ocemod.2021.101762
复制
发表时间:
2021
期刊:
影响因子:
3.2
通讯作者:
DeVries, Tim
中科院分区:
文献类型:
--
作者:
Huang, Qian;Primeau, François;DeVries, Tim
We describe a new 4-D variational assimilation system, called CYCLOCIM, to estimate the climatological seasonal cycle of the residual mean ocean circulation. CYCLOCIM assimilates monthly mean potential temperature and salinity data from the World Ocean Atlas, and CFC-11, CFC-12 and natural radiocarbon measurements for the deep ocean from the Global Data Analysis Project, Version 2. CYCLOCIM’s control parameters include: (i) a seasonally varying 3-D field of unresolved eddy-stress divergences that appear in the horizontal momentum equations, (ii) seasonally varying 2-D correction fields for the surface heat and freshwater fluxes, and (iii) a constant scaling factor for the air–sea flux of CFCs. The influence of initial conditions on a fully spun-up ocean model vanishes. Thus, unlike other 4-D variational assimilation systems, CYCLOCIM does not include initial conditions as control parameters. A Bayesian procedure is used to formulate the inverse problem, which is solved by finding the maximum of the posterior probability distribution. The optimization process used to find the maximum includes a forward simulation to calculate the flow velocities and tracer distributions followed by a backward (“adjoint” ) simulation to compute the gradient of the posterior. A quasi-Newton search algorithm is used to find the set of parameters to maximize the posterior probability. We find that by resolving the seasonal cycle the model is able to better fit the observations in the upper ocean compared to a previous steady-state version of the model. The main output from CYCLOCIM is a set of 12 data-constrained monthly tracer transport matrices that will provide a useful circulation model for global marine biogeochemical cycle studies.
登录
查看更多内容
DOI:
--
发表时间:
1982
期刊:
影响因子:
--
作者:
J. Sarmiento;K. Bryan
通讯作者:
K. Bryan
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
A. Bardin;F. Primeau;K. Lindsay
通讯作者:
K. Lindsay
影响因子:
5.2
作者:
Martin, T. S.;Primeau, F.;Casciotti, K. L.
通讯作者:
Casciotti, K. L.
影响因子:
5.2
作者:
Holzer, Mark;Frants, Marina;Pasquier, Benoit
通讯作者:
Pasquier, Benoit
影响因子:
16.6
作者:
Roshan S;DeVries T
通讯作者:
DeVries T