function [prdData, info] = predict_Clupea_bentincki(par, data, auxData)
  
  % unpack par, data, auxData
  cPar = parscomp_st(par); vars_pull(par); 
  vars_pull(cPar);  vars_pull(data);  vars_pull(auxData);
   
%% compute temperature correction factors
  TC_ab = tempcorr(temp.ab, T_ref, T_A);
  TC = tempcorr(temp.am, T_ref, T_A);

  % life cycle
  pars_tj = [g k l_T v_Hb v_Hj v_Hp];
  [t_j, t_p, t_b, l_j, l_p, l_b, l_i, rho_j, rho_B, info] = get_tj(pars_tj, f);

  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth of foetus  at f = 1
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth
  aT_b = t_b/ k_M/ TC_ab;           % d, age at birth of foetus at f and T

  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Lw_p = L_p/ del_M;                % cm, total length at puberty at f

  % ultimate
  L_i = L_m * l_i;                  % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate total length at f
  Ww_i = L_i^3 * (1 + f * w);       % g, ultimate wet weight 

  % reproduction
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hj; U_Hp]; % compose parameter vector
  RT_i = TC * reprod_rate_j(L_i, f, pars_R);                    % ultimate reproduction rate

  % life span
  pars_tm = [g; l_T; h_a/ k_M^2; s_G];  % compose parameter vector at T_ref
  t_m = get_tm_s(pars_tm, f, l_b);      % -, scaled mean life span at T_ref
  aT_m = t_m/ k_M/ TC;               % d, mean life span at T

  % pack to output
  prdData.ab = aT_b;
  prdData.am = aT_m;
  prdData.Lp = Lw_p;
  prdData.Li = Lw_i;
  prdData.Wwb = Ww_b;
  prdData.Wwi = Ww_i;
  prdData.Ri = RT_i;

  %% uni-variate data
  
  [t_j t_p t_b l_j l_p l_b l_i rho_j rho_B info] = get_tj(pars_tj, f_tL);
  r_B = rho_B * k_M; r_j = rho_j * k_M; % 1/d, von Bert, exponential growth rate
  L_b = L_m * l_b; L_j = L_m * l_j; L_i = L_m * l_i; 
  [t L] = ode45(@get_dL, [0; tL(:,1)], L_b, [], T_ref, T_A, r_j, r_B, L_j, L_i);
  L(1) = []; ELw = L/ del_M;
  
  % pack to output
  prdData.tL = ELw;
     
end

function dL = get_dL(t, L, T_ref, T_A, r_j, r_B, L_j, L_i)

  TC = tempcorr(C2K(12+8*sin((t + 150)/365*2*pi)), T_ref, T_A);

  if L < L_j
    dL = L * TC * r_j/ 3; 
  else
    dL = TC * r_B * (L_i - L);
  end
end