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Changeset 14644 for NEMO/branches/2020/dev_r14116_HPC-04_mcastril_Mixed_Precision_implementation_final/doc/latex/TOP/subfiles/model_description.tex – NEMO

Ignore:
Timestamp:
2021-03-26T15:33:49+01:00 (3 years ago)
Author:
sparonuz
Message:

Merge trunk -r14642:HEAD

Location:
NEMO/branches/2020/dev_r14116_HPC-04_mcastril_Mixed_Precision_implementation_final
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3 edited

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  • NEMO/branches/2020/dev_r14116_HPC-04_mcastril_Mixed_Precision_implementation_final/doc/latex/TOP/subfiles/model_description.tex

    r14113 r14644  
    99\newcommand{\Dcq}{\Delta ^{14}\mathrm{C}} 
    1010\newcommand{\Rq}{\mathrm{^{14}{R}}} 
    11 \newcommand{\CODE}[1]{\textsc{#1}} 
    12 %\newcommand{\CODE}[1]{\textcolor{black}{\textsc{#1}}\xspace} 
    1311 
    1412\chapter{Model Description} 
     
    2826where expressions of $D^{lC}$ and $D^{vC}$ depend on the choice for the lateral and vertical subgrid scale parameterizations, see equations 5.10 and 5.11 in \citep{nemo_manual} 
    2927 
    30 {S(C)} , the first term on the right hand side of \ref{Eq_tracer}; is the SMS - Source Minus Sink - inherent to the tracer.  In the case of biological tracer such as phytoplankton, {S(C)} is the balance between phytoplankton growth and its decay through mortality and grazing. In the case of a tracer comprising carbon,  {S(C)} accounts for gas exchange, river discharge, flux to the sediments, gravitational sinking and other biological processes. In the case of a radioactive tracer, {S(C)} is simply loss due to radioactive decay. 
    31  
    32 The second term (within brackets) represents the advection of the tracer in the three directions. It can be interpreted as the budget between the incoming and outgoing tracer fluxes in a volume $T$-cells $b_t= e_{1t}\,e_{2t}\,e_{3t}$ 
     28{S(C)} , the first term on the right hand side of \autoref{Eq_tracer}; is the SMS - Source Minus Sink - inherent to the tracer. 
     29In the case of biological tracer such as phytoplankton, {S(C)} is the balance between phytoplankton growth and its decay through mortality and grazing. 
     30In the case of a tracer comprising carbon,  {S(C)} accounts for gas exchange, river discharge, flux to the sediments, gravitational sinking and other biological processes. 
     31In the case of a radioactive tracer, {S(C)} is simply loss due to radioactive decay. 
     32 
     33The second term (within brackets) represents the advection of the tracer in the three directions. 
     34It can be interpreted as the budget between the incoming and outgoing tracer fluxes in a volume $T$-cells $b_t= e_{1t}\,e_{2t}\,e_{3t}$ 
    3335 
    3436The third term  represents the change due to lateral diffusion. 
     
    4648\label{sec:TopInt} 
    4749 
    48 TOP is the NEMO hardwired interface toward biogeochemical models and provide the physical constraints/boundaries for oceanic tracers. It consists of a modular framework to handle multiple ocean tracers, including also a variety of built-in modules. 
     50TOP is the NEMO hardwired interface toward biogeochemical models and provide the physical constraints/boundaries for oceanic tracers. 
     51It consists of a modular framework to handle multiple ocean tracers, including also a variety of built-in modules. 
    4952 
    5053This component of the NEMO framework allows one to exploit available modules  and further develop a range of applications, spanning from the implementation of a dye passive tracer to evaluate dispersion processes (by means of MY\_TRC), track water masses age (AGE module), assess the ocean interior penetration of persistent chemical compounds (e.g., gases like CFC or even PCBs), up to the full set of equations involving marine biogeochemical cycles. 
     
    6164        \item \textbf{AGE}     :    Water age tracking 
    6265        \item \textbf{MY\_TRC}  :   Template for creation of new modules and external BGC models coupling 
    63         \item \textbf{PISCES}    :   Built in BGC model. See \citep{aumont_2015} for a throughout description. 
     66        \item \textbf{PISCES}    :   Built in BGC model. 
     67See \citep{aumont_2015} for a throughout description. 
    6468\end{itemize} 
    6569%  ---------------------------------------------------------- 
     
    6973The passive tracer transport component  shares the same advection/diffusion routines with the dynamics, with specific treatment of some features like the surface boundary conditions, or the positivity of passive tracers concentrations. 
    7074 
    71  \subsection{ Advection} 
     75\subsection{Advection} 
    7276%------------------------------------------namtrc_adv---------------------------------------------------- 
    7377\nlst{namtrc_adv} 
    7478%------------------------------------------------------------------------------------------------------------- 
    75 The advection schemes used for the passive tracers are the same than the ones for $T$ and $S$ and described in section 5.1 of \citep{nemo_manual}. The choice of an advection scheme  can be selected independently and  can differ from the ones used for active tracers. This choice is made in the \textit{namtrc\_adv} namelist, by  setting to \textit{true} one and only one of the logicals \textit{ln\_trcadv\_xxx}, the same way of what is done for dynamics. 
    76 cen2, MUSCL2, and UBS are not \textit{positive} schemes meaning that negative values can appear in an initially strictly positive tracer field which is advected, implying that false extrema are permitted. Their use is not recommended on passive tracers 
    77  
    78  \subsection{ Lateral diffusion} 
     79The advection schemes used for the passive tracers are the same than the ones for $T$ and $S$ and described in section 5.1 of \citep{nemo_manual}. 
     80The choice of an advection scheme  can be selected independently and  can differ from the ones used for active tracers. 
     81This choice is made in the \textit{namtrc\_adv} namelist, by  setting to \textit{true} one and only one of the logicals \textit{ln\_trcadv\_xxx}, the same way of what is done for dynamics. 
     82cen2, MUSCL2, and UBS are not \textit{positive} schemes meaning that negative values can appear in an initially strictly positive tracer field which is advected, implying that false extrema are permitted. 
     83Their use is not recommended on passive tracers 
     84 
     85\subsection{Lateral diffusion} 
    7986%------------------------------------------namtrc_ldf---------------------------------------------------- 
    8087\nlst{namtrc_ldf} 
    8188%------------------------------------------------------------------------------------------------------------- 
    82 In NEMO v4.0, the passive tracer diffusion has necessarily the same form as the active tracer diffusion, meaning that the numerical scheme must be the same. However the passive tracer mixing coefficient can be chosen as a multiple of the active ones by changing the value of \textit{rn\_ldf\_multi} in namelist \textit{namtrc\_ldf}. The choice of numerical scheme is then set  in the \nam{namtra_ldf}{namtra\_ldf} namelist for the dynamic described in section 5.2 of \citep{nemo_manual}. 
    83  
     89In NEMO v4.0, the passive tracer diffusion has necessarily the same form as the active tracer diffusion, meaning that the numerical scheme must be the same. 
     90However the passive tracer mixing coefficient can be chosen as a multiple of the active ones by changing the value of \textit{rn\_ldf\_multi} in namelist \textit{namtrc\_ldf}. 
     91The choice of numerical scheme is then set in the \forcode{&namtra_ldf} namelist for the dynamic described in section 5.2 of \citep{nemo_manual}. 
    8492 
    8593%-----------------We also offers the possibility to increase zonal equatorial diffusion for passive tracers by introducing an enhanced zonal diffusivity coefficent in the equatorial domain which can be defined by the equation below : 
     
    8896%-----------------\end{equation} 
    8997 
    90  \subsection{ Tracer damping} 
     98\subsection{Tracer damping} 
    9199 
    92100%------------------------------------------namtrc_dmp---------------------------------------------------- 
     
    94102%------------------------------------------------------------------------------------------------------------- 
    95103 
    96 The use of newtonian damping  to climatological fields or observations is also coded, sharing the same routine dans active tracers. Boolean variables are defined in the namelist\_top\_ref to select the tracers on which restoring is applied 
    97 Options are defined through the \nam{namtrc_dmp}{namtrc\_dmp} namelist variables. The restoring term is added when the namelist parameter \np{ln\_trcdmp} is set to true. The restoring coefficient is a three-dimensional array read in a file, which name is specified by the namelist variable \np{cn\_resto\_tr}. This netcdf file can be generated using the DMP\_TOOLS tool. 
    98  
    99  \subsection{ Tracer positivity} 
     104The use of newtonian damping  to climatological fields or observations is also coded, sharing the same routine dans active tracers. 
     105Boolean variables are defined in the namelist\_top\_ref to select the tracers on which restoring is applied 
     106Options are defined through the \nam{trc_dmp}{trc\_dmp} namelist variables. 
     107The restoring term is added when the namelist parameter \np{ln\_trcdmp} is set to true. 
     108The restoring coefficient is a three-dimensional array read in a file, which name is specified by the namelist variable \np{cn\_resto\_tr}. 
     109This netcdf file can be generated using the DMP\_TOOLS tool. 
     110 
     111\subsection{Tracer positivity} 
    100112 
    101113%------------------------------------------namtrc_rad---------------------------------------------------- 
     
    103115%------------------------------------------------------------------------------------------------------------- 
    104116 
    105 Sometimes, numerical scheme can generates negative values of passive tracers concentration that must be positive. For exemple,  isopycnal diffusion can created extrema. The trcrad routine artificially corrects negative concentrations with a very crude solution that either sets negative concentration to zero without adjusting the tracer budget, or by removing negative concentration and keeping mass conservation. 
    106 The treatment of negative concentrations is an option and can be selected in the namelist \nam{namtrc_rad}{namtrc\_rad} by setting the parameter \np{ln\_trcrad}  to true. 
     117Sometimes, numerical scheme can generates negative values of passive tracers concentration that must be positive. 
     118For exemple,  isopycnal diffusion can created extrema. 
     119The trcrad routine artificially corrects negative concentrations with a very crude solution that either sets negative concentration to zero without adjusting the tracer budget, or by removing negative concentration and keeping mass conservation. 
     120The treatment of negative concentrations is an option and can be selected in the namelist \nam{trc_rad}{trc\_rad} by setting the parameter \np{ln\_trcrad}  to true. 
    107121 
    108122\section{The SMS modules} 
     
    119133%---------------------------------------------------------------------------------------------------------- 
    120134 
    121  
    122  An `ideal age' tracer is integrated online in TOP when \textit{ln\_age} = \texttt{.true.} in namelist \textit{namtrc}. This tracer marks the length of time in units of years that fluid has spent in the interior of the ocean, insulated from exposure to the atmosphere. Thus, away from the surface for $z<-H_{\mathrm{Age}}$ where $H_{\mathrm{Age}}$ is specified by the \textit{namage} namelist variable \textit{rn\_age\_depth}, whose default value is 10~m, there is a source $\mathrm{SMS_{\mathrm{Age}}}$ of the age tracer $A$: 
     135An `ideal age' tracer is integrated online in TOP when \textit{ln\_age} = \texttt{.true.} in namelist \textit{namtrc}. 
     136This tracer marks the length of time in units of years that fluid has spent in the interior of the ocean, insulated from exposure to the atmosphere. 
     137Thus, away from the surface for $z<-H_{\mathrm{Age}}$ where $H_{\mathrm{Age}}$ is specified by the \textit{namage} namelist variable \textit{rn\_age\_depth}, whose default value is 10~m, there is a source $\mathrm{SMS_{\mathrm{Age}}}$ of the age tracer $A$: 
     138 
    123139\begin{equation} 
    124140  \label{eq:TOP-age-interior} 
    125141  \mathrm{SMS_{\mathrm{Age}}} = 1 \mathrm{yr}\;^{-1} = 1/T_{\mathrm{year}}, 
    126  \end{equation} 
    127  where the length of the current year $T_{\mathrm{year}} = 86400*N_{\mathrm{days\;in\;current\; year}}\;\mathrm{s}$, where $N_{\mathrm{days\;in\;current\; year}}$ may be 366 or 365 depending on whether the current year is a leap year or not. 
    128  Near the surface, for $z>-H_{\mathrm{Age}}$, ideal age is relaxed back to zero: 
     142\end{equation} 
     143 
     144where the length of the current year $T_{\mathrm{year}} = 86400*N_{\mathrm{days\;in\;current\; year}}\;\mathrm{s}$, where $N_{\mathrm{days\;in\;current\; year}}$ may be 366 or 365 depending on whether the current year is a leap year or not. 
     145Near the surface, for $z>-H_{\mathrm{Age}}$, ideal age is relaxed back to zero: 
     146 
    129147\begin{equation} 
    130148  \label{eq:TOP-age-surface} 
    131149   \mathrm{SMS_{\mathrm{Age}}} = -\lambda_{\mathrm{Age}}A, 
    132  \end{equation} 
    133  where the relaxation rate $\lambda_{\mathrm{Age}}$  (units $\mathrm{s}\;^{-1}$) is specified by the \textit{namage} namelist variable \textit{rn\_age\_kill\_rate} and has a default value of 1/7200~s. Since this relaxation is applied explicitly, this relaxation rate in principle should not exceed $1/\Delta t$, where $\Delta t$ is the time step used to step forward passive tracers (2 * \textit{nn\_dttrc * rn\_rdt} when the default  leapfrog time-stepping scheme is employed). 
    134  
    135  Currently the 1-dimensional reference depth of the grid boxes is used rather than the dynamically evolving depth to determine whether the age tracer is incremented or relaxed to zero. This means that the tracer only works correctly in z-coordinates. To ensure that the forcing is independent of the level thicknesses, where the tracer cell at level $k$ has its upper face $z=-depw(k)$ above the depth $-H_{\mathrm{Age}}$, but its lower face $z=-depw(k+1)$ below that depth, then the age source 
    136  \begin{equation} 
     150\end{equation} 
     151 
     152where the relaxation rate $\lambda_{\mathrm{Age}}$  (units $\mathrm{s}\;^{-1}$) is specified by the \textit{namage} namelist variable \textit{rn\_age\_kill\_rate} and has a default value of 1/7200~s. 
     153Since this relaxation is applied explicitly, this relaxation rate in principle should not exceed $1/\Delta t$, where $\Delta t$ is the time step used to step forward passive tracers (2 * \textit{nn\_dttrc * rn\_rdt} when the default  leapfrog time-stepping scheme is employed). 
     154 
     155Currently the 1-dimensional reference depth of the grid boxes is used rather than the dynamically evolving depth to determine whether the age tracer is incremented or relaxed to zero. 
     156This means that the tracer only works correctly in z-coordinates. 
     157To ensure that the forcing is independent of the level thicknesses, where the tracer cell at level $k$ has its upper face $z=-depw(k)$ above the depth $-H_{\mathrm{Age}}$, but its lower face $z=-depw(k+1)$ below that depth, then the age source 
     158 
     159\begin{equation} 
    137160  \label{eq:TOP-age-mixed} 
    138161   \mathrm{SMS_{\mathrm{Age}}} = -f_{\mathrm{kill}}\lambda_{\mathrm{Age}}A +f_{\mathrm{add}}/T_{\mathrm{year}} , 
    139  \end{equation} 
    140  where 
    141  \begin{align} 
     162\end{equation} 
     163 
     164where 
     165 
     166\begin{align} 
    142167    f_{\mathrm{kill}} &= e3t_k^{-1}(H_{\mathrm{Age}} - depw(k)) , \\ 
    143168    f_{\mathrm{add}} &= 1 - f_{\mathrm{kill}}. 
    144  \end{align} 
    145  
    146  
    147  This implementation was first used in the CORE-II intercomparison runs described e.g.\ in \citet{danabasoglu_2014}. 
     169\end{align} 
     170 
     171 
     172This implementation was first used in the CORE-II intercomparison runs described e.g.\ in \citet{danabasoglu_2014}. 
    148173 
    149174\subsection{Inert carbons tracer} 
     
    155180 
    156181Chlorofluorocarbons 11 and 12 (CFC-11 and CFC-12), and sulfur hexafluoride (SF6), are synthetic chemicals manufactured for industrial and domestic applications from the early 20th century onwards. 
    157 CFC-11 (CCl$_{3}$F) is a volatile liquid at room temperature, and was widely used in refrigeration. CFC-12 (CCl$_{2}$F$_{2}$) is a gas at room temperature, and, like CFC-11, was widely used as a refrigerant, 
    158 and additionally as an aerosol propellant. SF6 (SF$_{6}$) is also a gas at room temperature, with a range of applications based around its property as an excellent electrical insulator (often replacing more toxic alternatives). 
    159 All three are relatively inert chemicals that are both non-toxic and non-flammable, and their wide use has led to their accumulation within the Earth's atmosphere. Large-scale production of CFC-11 and CFC-12 began in the 1930s, while production of SF6 began in the 1950s, and their atmospheric concentration time-histories are shown in Figure \ref{img_cfcatm}. 
     182CFC-11 (CCl$_{3}$F) is a volatile liquid at room temperature, and was widely used in refrigeration. 
     183CFC-12 (CCl$_{2}$F$_{2}$) is a gas at room temperature, and, like CFC-11, was widely used as a refrigerant, 
     184and additionally as an aerosol propellant. 
     185SF6 (SF$_{6}$) is also a gas at room temperature, with a range of applications based around its property as an excellent electrical insulator (often replacing more toxic alternatives). 
     186All three are relatively inert chemicals that are both non-toxic and non-flammable, and their wide use has led to their accumulation within the Earth's atmosphere. 
     187Large-scale production of CFC-11 and CFC-12 began in the 1930s, while production of SF6 began in the 1950s, and their atmospheric concentration time-histories are shown in Figure \autoref{img_cfcatm}. 
    160188As can be seen in the figure, while the concentration of SF6 continues to rise to the present  day, the concentrations of both CFC-11 and CFC-12 have levelled off and declined since around the 1990s. 
    161189These declines have been driven by the Montreal Protocol (effective since August 1989), which has banned the production of CFC-11 and CFC-12 (as well as other CFCs) because of their role in the depletion of 
    162 stratospheric ozone (O$_{3}$), critical in decreasing the flux of ultraviolet radiation to the Earth's surface. Separate to this role in ozone-depletion, all three chemicals are significantly more potent greenhouse gases 
     190stratospheric ozone (O$_{3}$), critical in decreasing the flux of ultraviolet radiation to the Earth's surface. 
     191Separate to this role in ozone-depletion, all three chemicals are significantly more potent greenhouse gases 
    163192than CO$_{2}$ (especially SF6), although their relatively low atmospheric concentrations limit their role in climate change. \\ 
    164193 
     
    171200% This release began in the 1930s for CFC-11 and CFC-12, and the 1950s for SF6, and 
    172201% regularly increasing their atmospheric concentration until the 1090s, 2000s for respectively CFC11, CFC12, 
    173 % and is still increasing, and SF6 (see Figure \ref{img_cfcatm}).  \\ 
     202% and is still increasing, and SF6 (see Figure \autoref{img_cfcatm}).  \\ 
    174203 
    175204The ocean is a notable sink for all three gases, and their relatively recent occurrence in the atmosphere, coupled to the ease of making high precision measurements of their dissolved concentrations, has made them 
     
    177206Because they only enter the ocean via surface air-sea exchange, and are almost completely chemically and biologically inert, their distribution within the ocean interior reveals its ventilation via transport and mixing. 
    178207Measuring the dissolved concentrations of the gases -- as well as the mixing ratios between them -- shows circulation pathways within the ocean as well as water mass ages (i.e. the time since last contact with the 
    179 atmosphere). This feature of the gases has made them valuable across a wide range of oceanographic problems. One use lies in ocean modelling, where they can be used to evaluate the realism of the circulation and 
     208atmosphere). 
     209This feature of the gases has made them valuable across a wide range of oceanographic problems. 
     210One use lies in ocean modelling, where they can be used to evaluate the realism of the circulation and 
    180211ventilation of models, key for understanding the behaviour of wider modelled marine biogeochemistry (e.g. \citep{dutay_2002,palmieri_2015}). \\ 
    181212 
    182 Modelling these gases (henceforth CFCs) in NEMO is done within the passive tracer transport module, TOP, using the conservation state equation \ref{Eq_tracer} 
     213Modelling these gases (henceforth CFCs) in NEMO is done within the passive tracer transport module, TOP, using the conservation state equation \autoref{Eq_tracer} 
    183214 
    184215Advection and diffusion of the CFCs in NEMO are calculated by the physical module, OPA, 
     
    198229\end{eqnarray} 
    199230 
    200 Where $K_{w}$ is the piston velocity (in m~s$^{-1}$), as defined in Equation \ref{equ_Kw}; 
    201 $C_{sat}$ is the saturation concentration of the CFC tracer, as defined in Equation \ref{equ_C_sat}; 
     231Where $K_{w}$ is the piston velocity (in m~s$^{-1}$), as defined in Equation \autoref{equ_Kw}; 
     232$C_{sat}$ is the saturation concentration of the CFC tracer, as defined in Equation \autoref{equ_C_sat}; 
    202233$C_{surf}$ is the local surface concentration of the CFC tracer within the model (in mol~m$^{-3}$); 
    203234and $f_{i}$ is the fractional sea-ice cover of the local ocean (ranging between 0.0 for ice-free ocean, 
     
    211242\end{eqnarray} 
    212243 
    213 Where $Sol$ is the gas solubility in mol~m$^{-3}$~pptv$^{-1}$, as defined in Equation \ref{equ_Sol_CFC}; 
     244Where $Sol$ is the gas solubility in mol~m$^{-3}$~pptv$^{-1}$, as defined in Equation \autoref{equ_Sol_CFC}; 
    214245and $P_{cfc}$ is the atmosphere concentration of the CFC (in parts per trillion by volume, pptv). 
    215246This latter concentration is provided to the model by the historical time-series of \citet{bullister_2017}. 
     
    231262$a$ is a constant re-estimated by \citet{wanninkhof_2014} to 0.251 (in $\frac{cm~h^{-1}}{(m~s^{-1})^{2}}$); 
    232263and $u$ is the 10~m wind speed in m~s$^{-1}$ from either an atmosphere model or reanalysis atmospheric forcing. 
    233 $Sc$ is the Schmidt number, and is calculated as follow, using coefficients from \citet{wanninkhof_2014} (see Table \ref{tab_Sc}). 
     264$Sc$ is the Schmidt number, and is calculated as follow, using coefficients from \citet{wanninkhof_2014} (see Table \autoref{tab_Sc}). 
    234265 
    235266\begin{eqnarray} 
     
    238269\end{eqnarray} 
    239270 
    240 The solubility, $Sol$, used in Equation \ref{equ_C_sat} is calculated in mol~l$^{-1}$~atm$^{-1}$, 
     271The solubility, $Sol$, used in Equation \autoref{equ_C_sat} is calculated in mol~l$^{-1}$~atm$^{-1}$, 
    241272and is specific for each gas. 
    242273It has been experimentally estimated by \citet{warner_1985} as a function of temperature 
     
    260291 
    261292Where $T_{X}$ is $\frac{T + 273.16}{100}$, a function of temperature; 
    262 and the $a_{x}$ and $b_{x}$ coefficients are specific for each gas (see Table \ref{tab_ref_CFC}). 
     293and the $a_{x}$ and $b_{x}$ coefficients are specific for each gas (see Table \autoref{tab_ref_CFC}). 
    263294This is then converted to mol~m$^{-3}$~pptv$^{-1}$ assuming a constant atmospheric surface pressure of 1~atm. 
    264295The solubility of CFCs thus decreases with rising $T$ while being relatively insensitive to salinity changes. 
    265 Consequently, this translates to a pattern of solubility where it is greatest in cold, polar regions (see Figure \ref{img_cfcsol}). 
     296Consequently, this translates to a pattern of solubility where it is greatest in cold, polar regions (see Figure \autoref{img_cfcsol}). 
    266297 
    267298% AXY: not 100% sure about the units below; they might be in nanomol, or in seconds or years 
    268299 
    269300The standard outputs of the CFC module are seawater CFC concentrations (in mol~m$^{-3}$), the net air-sea flux (in mol~m$^{-2}$~d$^{-1}$) and the cumulative net air-sea flux (in mol~m$^{-2}$). 
    270 Using XIOS, it is possible to obtain outputs such as the vertical integral of CFC concentrations (in mol~m$^{-2}$; see Figure \ref{img_cfcinv}). 
     301Using XIOS, it is possible to obtain outputs such as the vertical integral of CFC concentrations (in mol~m$^{-2}$; see Figure \autoref{img_cfcinv}). 
    271302This property, when divided by the surface CFC concentration, estimates the local penetration depth (in m) of the CFC. 
    272303 
     
    285316 
    286317\begin{table}[!t] 
    287 \caption{Coefficients for fit of the CFCs solubility (Eq. \ref{equ_Sol_CFC}).} 
     318\caption{Coefficients for fit of the CFCs solubility (Eq. \autoref{equ_Sol_CFC}).} 
    288319\vskip4mm 
    289320\centering 
     
    302333 
    303334\begin{table}[!t] 
    304 \caption{Coefficients for fit of the CFCs Schmidt number (Eq. \ref{equ_Sc}). } 
     335\caption{Coefficients for fit of the CFCs Schmidt number (Eq. \autoref{equ_Sc}). } 
    305336\vskip4mm 
    306337\centering 
     
    353384%---------------------------------------------------------------------------------------------------------- 
    354385 
    355 The C14 package implemented in NEMO by Anne Mouchet models ocean $\Dcq$. It offers several possibilities: $\Dcq$ as a physical tracer of the ocean ventilation (natural $\cq$), assessment of bomb radiocarbon uptake, as well as transient studies of paleo-historical ocean radiocarbon distributions. 
     386The C14 package implemented in NEMO by Anne Mouchet models ocean $\Dcq$. 
     387It offers several possibilities: $\Dcq$ as a physical tracer of the ocean ventilation (natural $\cq$), assessment of bomb radiocarbon uptake, as well as transient studies of paleo-historical ocean radiocarbon distributions. 
    356388 
    357389\subsubsection{Method} 
    358390 
    359  Let  $\Rq$ represent the ratio of $\cq$ atoms to the total number of carbon atoms in the sample, i.e. $\cq/\mathrm{C}$. Then, radiocarbon anomalies are reported as 
     391Let  $\Rq$ represent the ratio of $\cq$ atoms to the total number of carbon atoms in the sample, i.e. $\cq/\mathrm{C}$. 
     392Then, radiocarbon anomalies are reported as 
     393 
    360394\begin{equation} 
    361395\Dcq = \left( \frac{\Rq}{\Rq_\mathrm{ref}} - 1 \right) 10^3, \label{eq:c14dcq} 
    362396\end{equation} 
    363 where $\Rq_{\textrm{ref}}$ is a reference ratio. For the purpose of ocean ventilation studies $\Rq_{\textrm{ref}}$ is set to one. 
     397 
     398where $\Rq_{\textrm{ref}}$ is a reference ratio. 
     399For the purpose of ocean ventilation studies $\Rq_{\textrm{ref}}$ is set to one. 
    364400 
    365401Here we adopt the approach of \cite{fiadeiro_1982} and \cite{toggweiler_1989a,toggweiler_1989b} in which  the ratio $\Rq$ is transported rather than the individual concentrations C and $\cq$. 
    366 This approach calls for a strong assumption, i.e., that of a homogeneous and constant dissolved inorganic carbon (DIC) field \citep{toggweiler_1989a,mouchet_2013}. While in terms of 
    367 oceanic $\Dcq$, it yields similar results to approaches involving carbonate chemistry, it underestimates the bomb radiocarbon inventory because it assumes a constant air-sea $\cd$ disequilibrium (Mouchet, 2013). Yet, field reconstructions of the ocean bomb $\cq$ inventory are also biased low \citep{naegler_2009} since they assume that the anthropogenic perturbation did not affect ocean DIC since the pre-bomb epoch. For these reasons, bomb $\cq$ inventories obtained with the present method are directly comparable to reconstructions based on field measurements. 
    368  
    369 This simplified approach also neglects the effects of fractionation (e.g.,  air-sea exchange) and of biological processes. Previous studies by \cite{bacastow_1990} and \cite{joos_1997} resulted in nearly identical $\Dcq$ distributions among experiments considering biology or not. 
     402This approach calls for a strong assumption, i.e., that of a homogeneous and constant dissolved inorganic carbon (DIC) field \citep{toggweiler_1989a,mouchet_2013}. 
     403While in terms of 
     404oceanic $\Dcq$, it yields similar results to approaches involving carbonate chemistry, it underestimates the bomb radiocarbon inventory because it assumes a constant air-sea $\cd$ disequilibrium (Mouchet, 2013). 
     405Yet, field reconstructions of the ocean bomb $\cq$ inventory are also biased low \citep{naegler_2009} since they assume that the anthropogenic perturbation did not affect ocean DIC since the pre-bomb epoch. 
     406For these reasons, bomb $\cq$ inventories obtained with the present method are directly comparable to reconstructions based on field measurements. 
     407 
     408This simplified approach also neglects the effects of fractionation (e.g.,  air-sea exchange) and of biological processes. 
     409Previous studies by \cite{bacastow_1990} and \cite{joos_1997} resulted in nearly identical $\Dcq$ distributions among experiments considering biology or not. 
    370410Since observed $\Rq$ ratios are corrected for the isotopic fractionation when converted to the standard $\Dcq$ notation \citep{stuiver_1977} the model results are directly comparable to observations. 
    371411 
     
    373413 
    374414The equation governing the transport of $\Rq$  in the ocean is 
     415 
    375416\begin{equation} 
    376417\frac{\partial}{\partial t} {\Rq} =  - \bigtriangledown \cdot ( \mathbf{u} \Rq - \mathbf{K} \cdot \bigtriangledown \Rq )  - \lambda \Rq, \label{eq:quick} 
    377418\end{equation} 
     419 
    378420where $\lambda$ is the radiocarbon decay rate, ${\mathbf{u}}$ the 3-D velocity field, and $\mathbf{K}$ the diffusivity tensor. 
    379421 
    380 At the air-sea interface a Robin boundary condition \citep{haine_2006} is applied to \eqref{eq:quick}, i.e., the flux 
     422At the air-sea interface a Robin boundary condition \citep{haine_2006} is applied to \autoref{eq:quick}, i.e., the flux 
    381423through the interface is proportional to the difference in the ratios between 
    382424the ocean and the atmosphere 
     425 
    383426\begin{equation} 
    384427\mathcal{\!F} =  \kappa_{R}  (\Rq  - \Rq_{a} ), \label{eq:BCR} 
    385428\end{equation} 
    386 where $\mathcal{\!F}$ is the flux out of the ocean, and $\Rq_{a}$ is the atmospheric $\cq/\mathrm{C}$ ratio. The transfer velocity $ \kappa_{R} $ for the radiocarbon ratio in \eqref{eq:BCR} is computed as 
     429 
     430where $\mathcal{\!F}$ is the flux out of the ocean, and $\Rq_{a}$ is the atmospheric $\cq/\mathrm{C}$ ratio. 
     431The transfer velocity $ \kappa_{R} $ for the radiocarbon ratio in \autoref{eq:BCR} is computed as 
     432 
    387433\begin{equation} 
    388434 \kappa_{R} =  \frac{\kappa_{\cd} K_0}{\overline{\Ct}} \, \pacd   \label{eq:Rspeed} 
    389435\end{equation} 
     436 
    390437with $\kappa_{\cd}$ the carbon dioxide transfer or piston velocity, $K_0$ the $\cd$ solubility in seawater, $\pacd$ the atmospheric $\cd$ pressure at sea level, and $\overline{\Ct}$ the average sea-surface dissolved inorganic carbon concentration. 
    391438 
    392  
    393 The $\cd$ transfer velocity is based on the empirical formulation of \cite{wanninkhof_1992} with chemical enhancement \citep{wanninkhof_1996,wanninkhof_2014}. The original formulation is modified to account for the reduction of the  air-sea exchange rate in the presence of sea ice. Hence 
     439The $\cd$ transfer velocity is based on the empirical formulation of \cite{wanninkhof_1992} with chemical enhancement \citep{wanninkhof_1996,wanninkhof_2014}. 
     440The original formulation is modified to account for the reduction of the  air-sea exchange rate in the presence of sea ice. 
     441Hence 
     442 
    394443\begin{equation} 
    395444\kappa_\cd=\left( K_W\,\mathrm{w}^2 + b  \right)\, (1-f_\mathrm{ice})\,\sqrt{660/Sc}, \label{eq:wanc14} 
    396445\end{equation} 
    397446with $\mathrm{w}$ the wind magnitude, $f_\mathrm{ice}$ the fractional ice cover, and $Sc$ the Schmidt number. 
    398 $K_W$ in \eqref{eq:wanc14} is an empirical coefficient with dimension of an inverse velocity. 
     447$K_W$ in \autoref{eq:wanc14} is an empirical coefficient with dimension of an inverse velocity. 
    399448The chemical enhancement term $b$ is represented as a function of temperature $T$ \citep{wanninkhof_1992} 
    400449\begin{equation} 
     
    402451\end{equation} 
    403452 
    404 %We compare the results of equilibrium and transient experiments obtained with both methods in section \ref{sec:UNDEU}. 
     453%We compare the results of equilibrium and transient experiments obtained with both methods in section \autoref{sec:UNDEU}. 
    405454 
    406455% 
     
    413462\label{sec:param} 
    414463 % 
    415 The radiocarbon decay rate (\CODE{rlam14}; in \texttt{trcnam\_c14} module) is set to $\lambda=(1/8267)$ yr$^{-1}$ \citep{stuiver_1977}, which corresponds to a half-life of 5730 yr.\\[1pt] 
    416 % 
    417 The Schmidt number $Sc$, Eq. \eqref{eq:wanc14}, is calculated with the help of the formulation of \cite{wanninkhof_2014}. The $\cd$ solubility $K_0$ in \eqref{eq:Rspeed} is taken from \cite{weiss_1974}. $K_0$ and $Sc$ are computed with the OGCM temperature and salinity fields (\texttt{trcsms\_c14} module).\\[1pt] 
     464The radiocarbon decay rate (\forcode{rlam14}; in \texttt{trcnam\_c14} module) is set to $\lambda=(1/8267)$ yr$^{-1}$ \citep{stuiver_1977}, which corresponds to a half-life of 5730 yr.\\[1pt] 
     465% 
     466The Schmidt number $Sc$, Eq. \autoref{eq:wanc14}, is calculated with the help of the formulation of \cite{wanninkhof_2014}. 
     467The $\cd$ solubility $K_0$ in \autoref{eq:Rspeed} is taken from \cite{weiss_1974}. $K_0$ and $Sc$ are computed with the OGCM temperature and salinity fields (\texttt{trcsms\_c14} module).\\[1pt] 
    418468% 
    419469The following parameters intervening in the air-sea exchange rate are set in \texttt{namelist\_c14}: 
     470 
    420471\begin{itemize} 
    421 \item The reference DIC concentration $\overline{\Ct}$ (\CODE{xdicsur}) intervening in \eqref{eq:Rspeed} is classically set to 2 mol m$^{-3}$ \citep{toggweiler_1989a,orr_2001,butzin_2005}. 
    422 % 
    423 \item The value of the empirical coefficient $K_W$ (\CODE{xkwind}) in \eqref{eq:wanc14} depends on the wind field and on the model upper ocean mixing rate \citep{toggweiler_1989a,wanninkhof_1992,naegler_2009,wanninkhof_2014}. 
     472\item The reference DIC concentration $\overline{\Ct}$ (\forcode{xdicsur}) intervening in \autoref{eq:Rspeed} is classically set to 2 mol m$^{-3}$ \citep{toggweiler_1989a,orr_2001,butzin_2005}. 
     473% 
     474\item The value of the empirical coefficient $K_W$ (\forcode{xkwind}) in \autoref{eq:wanc14} depends on the wind field and on the model upper ocean mixing rate \citep{toggweiler_1989a,wanninkhof_1992,naegler_2009,wanninkhof_2014}. 
    424475It should be adjusted so that the globally averaged $\cd$ piston velocity is $\kappa_\cd = 16.5\pm 3.2$ cm/h \citep{naegler_2009}. 
    425 %The sensitivity to this parametrization is discussed in section \ref{sec:result}. 
    426 % 
    427 \item Chemical enhancement (term $b$  in Eq. \ref{eq:wanchem}) may be set on/off by means of the logical variable \CODE{ln\_chemh}. 
     476%The sensitivity to this parametrization is discussed in section \autoref{sec:result}. 
     477% 
     478\item Chemical enhancement (term $b$  in Eq. \autoref{eq:wanchem}) may be set on/off by means of the logical variable \forcode{ln\_chemh}. 
    428479\end{itemize} 
    429480 
    430481% 
    431482\paragraph{Experiment type} 
    432 The type of experiment is determined by the value given to \CODE{kc14typ} in \texttt{namelist\_c14}. There are three possibilities: 
     483The type of experiment is determined by the value given to \forcode{kc14typ} in \texttt{namelist\_c14}. 
     484There are three possibilities: 
     485 
    433486\begin{enumerate} 
    434 \item natural $\Dcq$: \CODE{kc14typ}=0 
    435 \item bomb $\Dcq$: \CODE{kc14typ}=1 
    436 \item transient paleo-historical $\Dcq$: \CODE{kc14typ}=2 
     487\item natural                    $\Dcq$: \forcode{kc14typ}=0 
     488\item bomb                       $\Dcq$: \forcode{kc14typ}=1 
     489\item transient paleo-historical $\Dcq$: \forcode{kc14typ}=2 
    437490\end{enumerate} 
    438 % 
     491 
     492%  
    439493\textbf{Natural or Equilibrium radiocarbon} 
    440 \CODE{kc14typ}=0 
    441  
    442 Unless otherwise specified in \texttt{namelist\_c14}, the atmospheric $\Rq_a$ (\CODE{rc14at}) is set to one, the atmospheric $\cd$ (\CODE{pco2at}) to 280 ppm, and the ocean $\Rq$ is initialized with \CODE{rc14init=0.85}, i.e., $\Dcq=$-150\textperthousand  \cite[typical for deep-ocean, Fig 6 in][]{key_2004}. 
    443  
    444 Equilibrium experiment should last until 98\% of the ocean volume exhibit a drift of less than 0.001\textperthousand/year \citep{orr_2000}; this is usually achieved after few kyr (Fig. \ref{fig:drift}). 
    445 % 
     494\forcode{kc14typ}=0 
     495 
     496Unless otherwise specified in \texttt{namelist\_c14}, the atmospheric $\Rq_a$ (\forcode{rc14at}) is set to one, the atmospheric $\cd$ (\forcode{pco2at}) to 280 ppm, and the ocean $\Rq$ is initialized with \forcode{rc14init=0.85}, i.e., $\Dcq=$-150\textperthousand \cite[typical for deep-ocean, Fig 6 in][]{key_2004}. 
     497 
     498Equilibrium experiment should last until 98\% of the ocean volume exhibit a drift of less than 0.001\textperthousand/year \citep{orr_2000}; this is usually achieved after few kyr (Fig. \autoref{fig:drift}). 
     499% 
     500 
    446501\begin{figure}[!h] 
    447502\begin{center} 
     
    449504\end{center} 
    450505\vspace{-4ex} 
    451 \caption{ Time evolution of $\Rq$ inventory anomaly for equilibrium run with homogeneous ocean initial state. The anomaly (or drift) is given in \%  change in total ocean inventory per 50 years. Time on x-axis is in simulation year.\label{fig:drift} } 
     506\caption{ Time evolution of $\Rq$ inventory anomaly for equilibrium run with homogeneous ocean initial state. 
     507The anomaly (or drift) is given in \%  change in total ocean inventory per 50 years. 
     508Time on x-axis is in simulation year.\label{fig:drift} } 
    452509\end{figure} 
    453510 
    454511\textbf{Transient: Bomb} 
    455512\label{sec:bomb} 
    456 \CODE{kc14typ}=1 
     513\forcode{kc14typ}=1 
    457514 
    458515\begin{figure}[!h] 
     
    461518\end{center} 
    462519\vspace{-4ex} 
    463 \caption{Atmospheric $\Dcq$ (solid; left axis) and $\cd$ (dashed; right axis)  forcing for the $\cq$-bomb experiments. The $\Dcq$ is illustrated for the three zonal bands (upper, middle, and lower curves correspond to latitudes $> 20$N, $\in [20\mathrm{S},20\mathrm{N}]$, and $< 20$S, respectively.} \label{fig:bomb} 
     520\caption{Atmospheric $\Dcq$ (solid; left axis) and $\cd$ (dashed; right axis)  forcing for the $\cq$-bomb experiments. 
     521The $\Dcq$ is illustrated for the three zonal bands (upper, middle, and lower curves correspond to latitudes $> 20$N, $\in [20\mathrm{S},20\mathrm{N}]$, and $< 20$S, respectively.} \label{fig:bomb} 
    464522\end{figure} 
    465523 
    466 Performing this type of experiment requires that a pre-industrial equilibrium run be performed beforehand (\CODE{ln\_rsttr} should be set to \texttt{.TRUE.}). 
    467  
    468 An exception to this rule is when wishing to perform a perturbation bomb experiment as was possible with the package \texttt{C14b}. It is still possible to easily set-up that type of transient experiment for which no previous run is needed.  In addition to the instructions as given in this section it is however necessary to adapt the \texttt{atmc14.dat} file so that it does no longer contain any negative $\Dcq$ values (Suess effect in the pre-bomb period). 
    469  
    470 The model  is integrated from a given initial date following the observed records provided from 1765 AD on ( Fig. \ref{fig:bomb}). 
    471 The file \texttt{atmc14.dat}  \cite[][\& I. Levin, personal comm.]{enting_1994} provides atmospheric $\Dcq$ for three latitudinal bands: 90S-20S,    20S-20N \&    20N-90N. 
    472 Atmospheric $\cd$ in the file \texttt{splco2.dat} is obtained from a spline fit through ice core data and direct atmospheric measurements \cite[][\& J. Orr, personal comm.]{orr_2000}. 
     524Performing this type of experiment requires that a pre-industrial equilibrium run be performed beforehand (\forcode{ln\_rsttr} should be set to \texttt{.TRUE.}). 
     525 
     526An exception to this rule is when wishing to perform a perturbation bomb experiment as was possible with the package \texttt{C14b}. 
     527It is still possible to easily set-up that type of transient experiment for which no previous run is needed. 
     528In addition to the instructions as given in this section it is however necessary to adapt the \texttt{atmc14.dat} file so that it does no longer contain any negative $\Dcq$ values (Suess effect in the pre-bomb period). 
     529 
     530The model  is integrated from a given initial date following the observed records provided from 1765 AD on ( Fig. \autoref{fig:bomb}). 
     531The file \texttt{atmc14.dat}  \cite[][\& I. 
     532Levin, personal comm.]{enting_1994} provides atmospheric $\Dcq$ for three latitudinal bands: 90S-20S,    20S-20N \&    20N-90N. 
     533Atmospheric $\cd$ in the file \texttt{splco2.dat} is obtained from a spline fit through ice core data and direct atmospheric measurements \cite[][\& J. 
     534Orr, personal comm.]{orr_2000}. 
    473535Dates in these forcing files are expressed as yr AD. 
    474536 
    475537To ensure that the atmospheric forcing is applied properly as well as that output files contain consistent dates and inventories the experiment should be set up carefully: 
     538 
    476539\begin{itemize} 
    477 \item Specify the starting date of the experiment: \CODE{nn\_date0} in \texttt{namelist}.  \CODE{nn\_date0} is written as Year0101 where Year may take any positive value (AD). 
    478 \item Then the parameters \CODE{nn\_rstctl} in  \texttt{namelist} (on-line) and \CODE{nn\_rsttr} in \texttt{namelist\_top} (off-line)  must be \textbf{set to 0} at the start of the experiment (force the date to \CODE{nn\_date0} for the \textbf{first} experiment year). 
    479 \item These two parameters (\CODE{nn\_rstctl} and \CODE{nn\_rsttr}) have then to be \textbf{set to 2} for the following years (the date must be read in the restart file). 
     540\item Specify the starting date of the experiment: \forcode{nn\_date0} in \texttt{namelist}.  \forcode{nn\_date0} is written as Year0101 where Year may take any positive value (AD). 
     541\item Then the parameters \forcode{nn\_rstctl} in  \texttt{namelist} (on-line) and \forcode{nn\_rsttr} in \texttt{namelist\_top} (off-line)  must be \textbf{set to 0} at the start of the experiment (force the date to \forcode{nn\_date0} for the \textbf{first} experiment year). 
     542\item These two parameters (\forcode{nn\_rstctl} and \forcode{nn\_rsttr}) have then to be \textbf{set to 2} for the following years (the date must be read in the restart file). 
    480543\end{itemize} 
    481  If the experiment date is outside the data time span then the first or last atmospheric concentrations are prescribed depending on whether the date is earlier or later. Note that \CODE{tyrc14\_beg} (\texttt{namelist\_c14}) is not used in this context. 
     544 
     545If the experiment date is outside the data time span then the first or last atmospheric concentrations are prescribed depending on whether the date is earlier or later. 
     546Note that \forcode{tyrc14\_beg} (\texttt{namelist\_c14}) is not used in this context. 
    482547 
    483548% 
    484549\textbf{Transient: Past} 
    485 \CODE{kc14typ}=2 
     550\forcode{kc14typ}=2 
    486551% 
    487552\begin{figure}[!h] 
     
    490555\end{center} 
    491556\vspace{-4ex} 
    492 \caption{Atmospheric $\Dcq$ (solid) and $\cd$ (dashed)  forcing for the Paleo experiments. The $\cd$ scale is given on the right axis.} \label{fig:paleo} 
     557\caption{Atmospheric $\Dcq$ (solid) and $\cd$ (dashed)  forcing for the Paleo experiments. 
     558The $\cd$ scale is given on the right axis.} \label{fig:paleo} 
    493559\end{figure} 
    494560 
    495 This experiment type does not need a previous equilibrium run. It should start 5--6 kyr earlier than the period to be analyzed. 
    496 Atmospheric $\Rq_a$ and $\cd$ are prescribed from forcing files. The ocean $\Rq$ is initialized with the value attributed to \CODE{rc14init} in \texttt{namelist\_c14}. 
     561This experiment type does not need a previous equilibrium run. 
     562It should start 5--6 kyr earlier than the period to be analyzed. 
     563Atmospheric $\Rq_a$ and $\cd$ are prescribed from forcing files. 
     564The ocean $\Rq$ is initialized with the value attributed to \forcode{rc14init} in \texttt{namelist\_c14}. 
    497565 
    498566The file \texttt{intcal13.14c} \citep{reimer_2013} contains atmospheric $\Dcq$ from 0 to 50 kyr cal BP\footnote{cal BP: number of years before 1950 AD}. 
    499 The $\cd$ forcing is provided in file \texttt{ByrdEdcCO2.txt}. The content of this file is based on  the high resolution record from EPICA Dome C \citep{monnin_2004} for the Holocene and the Transition, and on Byrd Ice Core CO2 Data for 20--90 kyr BP  \citep{ahn_2008}. These atmospheric values are reproduced in Fig. \ref{fig:paleo}. Dates in these files are expressed as yr BP. 
     567The $\cd$ forcing is provided in file \texttt{ByrdEdcCO2.txt}. 
     568The content of this file is based on  the high resolution record from EPICA Dome C \citep{monnin_2004} for the Holocene and the Transition, and on Byrd Ice Core CO2 Data for 20--90 kyr BP  \citep{ahn_2008}. 
     569These atmospheric values are reproduced in Fig. \autoref{fig:paleo}. 
     570Dates in these files are expressed as yr BP. 
    500571 
    501572To ensure that the atmospheric forcing is applied properly as well as that output files contain consistent dates and inventories the experiment should be set up carefully. 
    502 The true experiment starting date is given by \CODE{tyrc14\_beg} (in yr BP) in \texttt{namelist\_c14}. In consequence, \CODE{nn\_date0} in \texttt{namelist} MUST be set to 00010101.\\ 
    503 Then the parameters \CODE{nn\_rstctl} in  \texttt{namelist} (on-line) and \CODE{nn\_rsttr} in \texttt{namelist\_top} (off-line)  must be set to 0 at the start of the experiment (force the date to \CODE{nn\_date0} for the first experiment year). These two parameters have then to be set to 2 for the following years (read the date in the restart file). \\ 
    504  If the experiment date is outside the data time span then the first or last atmospheric concentrations are prescribed depending on whether the date is earlier or later. 
     573The true experiment starting date is given by \forcode{tyrc14\_beg} (in yr BP) in \texttt{namelist\_c14}. 
     574In consequence, \forcode{nn\_date0} in \texttt{namelist} MUST be set to 00010101.\\ 
     575Then the parameters \forcode{nn\_rstctl} in  \texttt{namelist} (on-line) and \forcode{nn\_rsttr} in \texttt{namelist\_top} (off-line)  must be set to 0 at the start of the experiment (force the date to \forcode{nn\_date0} for the first experiment year). 
     576These two parameters have then to be set to 2 for the following years (read the date in the restart file). \\ 
     577If the experiment date is outside the data time span then the first or last atmospheric concentrations are prescribed depending on whether the date is earlier or later. 
    505578 
    506579% 
    507580\paragraph{Model output} 
    508581\label{sec:output} 
    509 All output fields in Table \ref{tab:out} are routinely computed. It depends on the actual settings in \texttt{iodef.xml} whether they are stored or not. 
     582 
     583All output fields in Table \autoref{tab:out} are routinely computed. 
     584It depends on the actual settings in \texttt{iodef.xml} whether they are stored or not. 
    510585% 
    511586\begin{table}[!h] 
    512587\begin{center} 
    513 \caption{Standard output fields for the C14 package \label{tab:out}. 
    514 } 
     588\caption{Standard output fields for the C14 package \label{tab:out}.} 
    515589%\begin{small} 
    516590\renewcommand{\arraystretch}{1.3}% 
    517591\begin{tabular}[h]{|l*{3}{|c}|l|} 
    518592\hline 
    519 Field & Type & Dim & Units & Description \\ \hline 
    520 RC14 & ptrc & 3-D & -        & Radiocarbon ratio \\ 
    521 DeltaC14 & diad & 3-D & \textperthousand & $\Dcq$\\ 
    522 C14Age & diad & 3-D & yr &   Radiocarbon age \\ 
    523 RAge & diad & 2-D & yr & Reservoir age\\ 
    524 qtr\_c14 &  diad & 2-D & m$^{-2}$ yr$^{-1}$ & Air-to-sea net $\Rq$ flux\\ 
    525 qint\_c14 & diad & 2-D &   m$^{-2}$ &  Cumulative air-to-sea $\Rq$ flux \\ 
    526 AtmCO2 & scalar & 0-D & ppm & Global atmospheric $\cd$ \\ 
    527 AtmC14 & scalar & 0-D & \textperthousand  & Global atmospheric $\Dcq$\\ 
    528 K\_CO2 & scalar & 0-D & cm h$^{-1}$  & Global $\cd$ piston velocity ($ \overline{\kappa_{\cd}}$) \\ 
    529 K\_C14 & scalar & 0-D &m yr$^{-1}$ & Global $\Rq$ transfer velocity  ($ \overline{\kappa_R}$)\\ 
    530 C14Inv & scalar & 0-D & $10^{26}$ atoms & Ocean radiocarbon inventory \\ \hline 
     593Field     & Type   & Dim & Units              & Description                                              \\ \hline 
     594RC14      & ptrc   & 3-D & -                  & Radiocarbon ratio                                        \\ 
     595DeltaC14  & diad   & 3-D & \textperthousand   & $\Dcq$                                                    \\ 
     596C14Age    & diad   & 3-D & yr                 & Radiocarbon age                                          \\ 
     597RAge      & diad   & 2-D & yr                 & Reservoir age                                             \\ 
     598qtr\_c14  & diad   & 2-D & m$^{-2}$ yr$^{-1}$ & Air-to-sea net $\Rq$ flux                                 \\ 
     599qint\_c14 & diad   & 2-D & m$^{-2}$           & Cumulative air-to-sea $\Rq$ flux                          \\ 
     600AtmCO2    & scalar & 0-D & ppm                & Global atmospheric $\cd$                                  \\ 
     601AtmC14    & scalar & 0-D & \textperthousand   & Global atmospheric $\Dcq$                                 \\ 
     602K\_CO2    & scalar & 0-D & cm h$^{-1}$        & Global $\cd$ piston velocity ($ \overline{\kappa_{\cd}}$) \\ 
     603K\_C14    & scalar & 0-D & m yr$^{-1}$        & Global $\Rq$ transfer velocity  ($ \overline{\kappa_R}$)  \\ 
     604C14Inv    & scalar & 0-D & $10^{26}$ atoms    & Ocean radiocarbon inventory                              \\ \hline 
    531605\end{tabular} 
    532606%\end{small} 
     
    539613The radiocarbon age is computed as  $(-1/\lambda) \ln{ \left( \Rq \right)}$, with zero age corresponding to $\Rq=1$. 
    540614 
    541 The reservoir age is the age difference between the ocean uppermost layer and the atmosphere. It is usually reported as conventional radiocarbon age; i.e., computed by means of the Libby radiocarbon mean life \cite[8033 yr;][]{stuiver_1977} 
     615The reservoir age is the age difference between the ocean uppermost layer and the atmosphere. 
     616It is usually reported as conventional radiocarbon age; i.e., computed by means of the Libby radiocarbon mean life \cite[8033 yr;][]{stuiver_1977} 
     617 
    542618\begin{align} 
    543619{^{14}\tau_\mathrm{c}}= -8033 \; \ln \left(1 + \frac{\Dcq}{10^3}\right), \label{eq:convage} 
    544620\end{align} 
    545 where ${^{14}\tau_\mathrm{c}}$ is expressed in years B.P. Here we do not use that convention and compute reservoir ages with the mean lifetime $1/\lambda$. Conversion from one scale to the other is readily performed. The conventional radiocarbon age is lower than the radiocarbon age by $\simeq3\%$. 
     621 
     622where ${^{14}\tau_\mathrm{c}}$ is expressed in years B.P. 
     623Here we do not use that convention and compute reservoir ages with the mean lifetime $1/\lambda$. 
     624Conversion from one scale to the other is readily performed. 
     625The conventional radiocarbon age is lower than the radiocarbon age by $\simeq3\%$. 
    546626 
    547627The ocean radiocarbon  inventory is computed as 
     628 
    548629\begin{equation} 
    549630N_A \Rq_\mathrm{oxa} \overline{\Ct} \left( \int_\Omega \Rq d\Omega \right) /10^{26}, \label{eq:inv} 
    550631\end{equation} 
    551 where $N_A$ is the Avogadro's number ($N_A=6.022\times10^{23}$ at/mol), $\Rq_\mathrm{oxa}$ is the oxalic acid radiocarbon standard \cite[$\Rq_\mathrm{oxa}=1.176\times10^{-12}$;][]{stuiver_1977}, and $\Omega$ is the ocean volume.  Bomb $\cq$ inventories are traditionally reported in units of $10^{26}$ atoms, hence the denominator in \eqref{eq:inv}. 
    552  
    553 All transformations from second to year, and inversely, are performed with the help of the physical constant \CODE{rsiyea} the sideral year length expressed in seconds\footnote{The variable (\CODE{nyear\_len}) which reports the length in days of the previous/current/future year (see \textrm{oce\_trc.F90}) is not a constant. }. 
     632 
     633where $N_A$ is the Avogadro's number ($N_A=6.022\times10^{23}$ at/mol), $\Rq_\mathrm{oxa}$ is the oxalic acid radiocarbon standard \cite[$\Rq_\mathrm{oxa}=1.176\times10^{-12}$;][]{stuiver_1977}, and $\Omega$ is the ocean volume. 
     634Bomb $\cq$ inventories are traditionally reported in units of $10^{26}$ atoms, hence the denominator in \autoref{eq:inv}. 
     635 
     636All transformations from second to year, and inversely, are performed with the help of the physical constant \forcode{rsiyea} the sideral year length expressed in seconds\footnote{The variable (\forcode{nyear\_len}) which reports the length in days of the previous/current/future year (see \textrm{oce\_trc.F90}) is not a constant. }. 
    554637 
    555638The global transfer velocities represent time-averaged\footnote{the actual duration is set in \texttt{iodef.xml}} global integrals of the transfer rates: 
    556  \begin{equation} 
     639 
     640\begin{equation} 
    557641 \overline{\kappa_{\cd}}= \int_\mathcal{S} \kappa_{\cd} d\mathcal{S}  \text{ and } \overline{\kappa_R}= \int_\mathcal{S} \kappa_R d\mathcal{S} 
    558642\end{equation} 
     
    561645\subsection{PISCES biogeochemical model} 
    562646 
    563 PISCES is a biogeochemical model which simulates the lower trophic levels of marine ecosystem (phytoplankton, microzooplankton and mesozooplankton) and the biogeochemical cycles of carbonand of the main nutrients (P, N, Fe, and Si). The  model is intended to be used for both regional and global configurations at high or low spatial resolutions as well as for  short-term (seasonal, interannual) and long-term (climate change, paleoceanography) analyses. 
     647PISCES is a biogeochemical model which simulates the lower trophic levels of marine ecosystem (phytoplankton, microzooplankton and mesozooplankton) and the biogeochemical cycles of carbonand of the main nutrients (P, N, Fe, and Si). 
     648The  model is intended to be used for both regional and global configurations at high or low spatial resolutions as well as for  short-term (seasonal, interannual) and long-term (climate change, paleoceanography) analyses. 
    564649Two versions of PISCES are available in NEMO v4.0 : 
    565650 
    566 PISCES-v2, by setting in namelist\_pisces\_ref  \np{ln\_p4z} to true,  can be seen as one of the many Monod models \citep{monod_1958}. It assumes a constant Redfield ratio and phytoplankton growth depends on the external concentration in nutrients. There are twenty-four prognostic variables (tracers) including two phytoplankton compartments  (diatoms and nanophytoplankton), two zooplankton size-classes (microzooplankton and  mesozooplankton) and a description of the carbonate chemistry. Formulations in PISCES-v2 are based on a mixed Monod/Quota formalism: On one hand, stoichiometry of C/N/P is fixed and growth rate of phytoplankton is limited by the external availability in N, P and Si. On the other hand, the iron and silicium quotas are variable and growth rate of phytoplankton is limited by the internal availability in Fe. Various parameterizations can be activated in PISCES-v2, setting for instance the complexity of iron chemistry or the description of particulate organic materials. 
    567  
    568 PISCES-QUOTA has been built on the PISCES-v2 model described in \citet{aumont_2015}. PISCES-QUOTA has thirty-nine prognostic compartments. Phytoplankton growth can be controlled by five modeled limiting nutrients: Nitrate and Ammonium, Phosphate, Silicate and Iron. Five living compartments are represented: Three phytoplankton size classes/groups corresponding to picophytoplankton, nanophytoplankton and diatoms, and two zooplankton size classes which are microzooplankton and mesozooplankton. For phytoplankton, the prognostic variables are the carbon, nitrogen, phosphorus,  iron, chlorophyll and silicon biomasses (the latter only for diatoms). This means that the N/C, P/C, Fe/C and Chl/C ratios of both phytoplankton groups as well as the Si/C ratio of diatoms are prognostically predicted  by the model. Zooplankton are assumed to be strictly homeostatic \citep[e.g.,][]{sterner_2003,woods_2013,meunier_2014}. As a consequence, the C/N/P/Fe ratios of these groups are maintained constant and are not allowed to vary. In PISCES, the Redfield ratios C/N/P are set to 122/16/1 \citep{takahashi_1985} and the -O/C ratio is set to 1.34 \citep{kortzinger_2001}. No silicified zooplankton is assumed. The bacterial pool is not yet explicitly modeled. 
    569  
    570 There are three non-living compartments: Semi-labile dissolved organic matter, small sinking particles, and large sinking particles. As a consequence of the variable stoichiometric ratios of phytoplankton and of the stoichiometric regulation of zooplankton, elemental ratios in organic matter cannot be supposed constant anymore as that was the case in PISCES-v2. Indeed, the nitrogen, phosphorus, iron, silicon and calcite pools of the particles are now all explicitly modeled. The sinking speed of the particles is not altered by their content in calcite and biogenic silicate (''The ballast effect'', \citep{honjo_1996,armstrong_2001}). The latter particles are assumed to sink at the same speed as the large organic matter particles. All the non-living compartments experience aggregation due to turbulence and differential settling as well as Brownian coagulation for DOM. 
    571  
     651PISCES-v2, by setting in namelist\_pisces\_ref  \np{ln\_p4z} to true,  can be seen as one of the many Monod models \citep{monod_1958}. 
     652It assumes a constant Redfield ratio and phytoplankton growth depends on the external concentration in nutrients. 
     653There are twenty-four prognostic variables (tracers) including two phytoplankton compartments  (diatoms and nanophytoplankton), two zooplankton size-classes (microzooplankton and  mesozooplankton) and a description of the carbonate chemistry. 
     654Formulations in PISCES-v2 are based on a mixed Monod/Quota formalism: On one hand, stoichiometry of C/N/P is fixed and growth rate of phytoplankton is limited by the external availability in N, P and Si. 
     655On the other hand, the iron and silicium quotas are variable and growth rate of phytoplankton is limited by the internal availability in Fe. 
     656Various parameterizations can be activated in PISCES-v2, setting for instance the complexity of iron chemistry or the description of particulate organic materials. 
     657 
     658PISCES-QUOTA has been built on the PISCES-v2 model described in \citet{aumont_2015}. 
     659PISCES-QUOTA has thirty-nine prognostic compartments. 
     660Phytoplankton growth can be controlled by five modeled limiting nutrients: Nitrate and Ammonium, Phosphate, Silicate and Iron. 
     661Five living compartments are represented: Three phytoplankton size classes/groups corresponding to picophytoplankton, nanophytoplankton and diatoms, and two zooplankton size classes which are microzooplankton and mesozooplankton. 
     662For phytoplankton, the prognostic variables are the carbon, nitrogen, phosphorus,  iron, chlorophyll and silicon biomasses (the latter only for diatoms). 
     663This means that the N/C, P/C, Fe/C and Chl/C ratios of both phytoplankton groups as well as the Si/C ratio of diatoms are prognostically predicted  by the model. 
     664Zooplankton are assumed to be strictly homeostatic \citep[e.g.,][]{sterner_2003,woods_2013,meunier_2014}. 
     665As a consequence, the C/N/P/Fe ratios of these groups are maintained constant and are not allowed to vary. 
     666In PISCES, the Redfield ratios C/N/P are set to 122/16/1 \citep{takahashi_1985} and the -O/C ratio is set to 1.34 \citep{kortzinger_2001}. 
     667No silicified zooplankton is assumed. 
     668The bacterial pool is not yet explicitly modeled. 
     669 
     670There are three non-living compartments: Semi-labile dissolved organic matter, small sinking particles, and large sinking particles. 
     671As a consequence of the variable stoichiometric ratios of phytoplankton and of the stoichiometric regulation of zooplankton, elemental ratios in organic matter cannot be supposed constant anymore as that was the case in PISCES-v2. 
     672Indeed, the nitrogen, phosphorus, iron, silicon and calcite pools of the particles are now all explicitly modeled. 
     673The sinking speed of the particles is not altered by their content in calcite and biogenic silicate (''The ballast effect'', \citep{honjo_1996,armstrong_2001}). 
     674The latter particles are assumed to sink at the same speed as the large organic matter particles. 
     675All the non-living compartments experience aggregation due to turbulence and differential settling as well as Brownian coagulation for DOM. 
    572676 
    573677\subsection{MY\_TRC interface for coupling external BGC models} 
    574678\label{Mytrc} 
    575679 
    576 The NEMO-TOP has only one built-in biogeochemical model - PISCES - but there are several BGC models - MEDUSA, ERSEM, BFM or ECO3M - which are meant to be coupled with the NEMO dynamics. Therefore it was necessary to provide to the users a framework for easily add their own BGCM model, that can be a single passive tracer. 
    577 The generalized interface is pivoted on MY\_TRC module that contains template files to build the coupling between NEMO and any external BGC model. The call to MY\_TRC is activated by setting  \textit{ln\_my\_trc} = \texttt{.true.} in namelist \textit{namtrc} 
     680The NEMO-TOP has only one built-in biogeochemical model - PISCES - but there are several BGC models - MEDUSA, ERSEM, BFM or ECO3M - which are meant to be coupled with the NEMO dynamics. 
     681Therefore it was necessary to provide to the users a framework for easily add their own BGCM model, that can be a single passive tracer. 
     682The generalized interface is pivoted on MY\_TRC module that contains template files to build the coupling between NEMO and any external BGC model. 
     683The call to MY\_TRC is activated by setting  \textit{ln\_my\_trc} = \texttt{.true.} in namelist \textit{namtrc} 
    578684 
    579685The following 6 fortran files are available in MY\_TRC with the specific purposes here described. 
     
    581687\begin{itemize} 
    582688   \item \textit{par\_my\_trc.F90} :  This module allows to define additional arrays and public variables to be used within the MY\_TRC interface 
    583    \item \textit{trcini\_my\_trc.F90} :  Here are initialized user defined namelists and the call to the external BGC model initialization procedures to populate general tracer array (trn and trb). Here are also likely to be defined suport arrays related to system metrics that could be needed by the BGC model. 
     689   \item \textit{trcini\_my\_trc.F90} :  Here are initialized user defined namelists and the call to the external BGC model initialization procedures to populate general tracer array (trn and trb). 
     690Here are also likely to be defined suport arrays related to system metrics that could be needed by the BGC model. 
    584691  \item \textit{trcnam\_my\_trc.F90} :  This routine is called at the beginning of trcini\_my\_trc and should contain the initialization of additional namelists for the BGC model or user-defined code. 
    585   \item \textit{trcsms\_my\_trc.F90} :  The routine performs the call to Boundary Conditions and its main purpose is to contain the Source-Minus-Sinks terms due to the biogeochemical processes of the external model. Be aware that lateral boundary conditions are applied in trcnxt routine. IMPORTANT: the routines to compute the light penetration along the water column and the tracer vertical sinking should be defined/called in here, as generalized modules are still missing in the code. 
    586  \item \textit{trcice\_my\_trc.F90} : Here it is possible to prescribe the tracers concentrations in the seaice that will be used as boundary conditions when ice melting occurs (nn\_ice\_tr =1 in namtrc\_ice). See e.g. the correspondent PISCES subroutine. 
    587  \item \textit{trcwri\_my\_trc.F90} : This routine performs the output of the model tracers using IOM module (see Manual Chapter Output and Diagnostics). It is possible to place here the output of additional variables produced by the model, if not done elsewhere in the code, using the call to \textit{iom\_put}. 
     692  \item \textit{trcsms\_my\_trc.F90} :  The routine performs the call to Boundary Conditions and its main purpose is to contain the Source-Minus-Sinks terms due to the biogeochemical processes of the external model. 
     693Be aware that lateral boundary conditions are applied in trcnxt routine. 
     694IMPORTANT: the routines to compute the light penetration along the water column and the tracer vertical sinking should be defined/called in here, as generalized modules are still missing in the code. 
     695 \item \textit{trcice\_my\_trc.F90} : Here it is possible to prescribe the tracers concentrations in the seaice that will be used as boundary conditions when ice melting occurs (nn\_ice\_tr =1 in namtrc\_ice). 
     696See e.g. the correspondent PISCES subroutine. 
     697 \item \textit{trcwri\_my\_trc.F90} : This routine performs the output of the model tracers using IOM module (see Manual Chapter Output and Diagnostics). 
     698It is possible to place here the output of additional variables produced by the model, if not done elsewhere in the code, using the call to \textit{iom\_put}. 
    588699\end{itemize} 
    589  
    590700 
    591701\section{The Offline Option} 
     
    596706%------------------------------------------------------------------------------------------------------------- 
    597707 
    598 Coupling passive tracers offline with NEMO requires precomputed  physical fields from OGCM. Those fields are read from files and interpolated on-the-fly at each model time step 
     708Coupling passive tracers offline with NEMO requires precomputed  physical fields from OGCM. 
     709Those fields are read from files and interpolated on-the-fly at each model time step 
    599710At least the following dynamical parameters should be absolutely passed to the transport : ocean velocities, temperature, salinity, mixed layer depth and for ecosystem models like PISCES, sea ice concentration, short wave radiation at the ocean surface, wind speed (or at least, wind stress). 
    600711The so-called offline mode is useful since it has lower computational costs for example to perform very longer simulations - about 3000 years - to reach equilibrium of CO2 sinks for climate-carbon studies. 
    601712 
    602 The offline interface is located in the code repository : \path{<repository>/src/OFF/}. It is activated by adding the CPP key  \textit{key\_offline} to the CPP keys list. There are two specifics routines for the Offline code : 
     713The offline interface is located in the code repository : \path{<repository>/src/OFF/}. 
     714It is activated by adding the CPP key  \textit{key\_offline} to the CPP keys list. 
     715There are two specifics routines for the Offline code : 
    603716 
    604717\begin{itemize} 
     
    606719   \item \textit{nemogcm.F90} :  a degraded version of the main nemogcm.F90 code of NEMO to manage the time-stepping 
    607720\end{itemize} 
    608  
    609721 
    610722%- 
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