function [prdData, info] = predict_Diaphanosoma_sarsi(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 = tempcorr(temp.am, T_ref, T_A); kT_M = TC * k_M;
  
  % zero-variate data

  % life cycle
  pars_tp = [g k l_T v_Hb v_Hp];
  [tau_p, tau_b, l_p, l_b, info] = get_tp(pars_tp, f);
  
  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth at f
  Lw_b = L_b/ del_M;                % cm, total length at birth at f
  aT_b = t_0 + tau_b/ kT_M;         % d, age at birth at f and T_ref
  
  % 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
  tT_p = (tau_p - tau_b)/ kT_M;     % d, time since birth at puberty
  
  % ultimate
  L_i = L_m * f;                    % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate total length at f
  Wd_i = 1e6 * L_i^3 * d_V * (1 + f * ome); % mug, ultimate dry weight
 
  % reprod
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hp]; % compose parameter vector at T
  RT_i = TC * reprod_rate(L_i, f, pars_R); % #/d, max reprod rate

  % life span
  pars_tm = [g; l_T; h_a/ k_M^2; s_G];  % compose parameter vector at T_ref
  tau_m = get_tm_s(pars_tm, f, l_b);    % -, scaled mean life span at T_ref
  aT_m = tau_m/ kT_M;                   % d, mean life span at T
  
  % pack to output
  prdData.ab = aT_b;
  prdData.tp = tT_p;
  prdData.am = aT_m;
  prdData.Lb = Lw_b;
  prdData.Lp = Lw_p;
  prdData.Li = Lw_i;
  prdData.Wdi = Wd_i;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-length
  tf = [5 f_05; 10 f_10; 50 f_50]; tf(:,1) = tf(:,1)* kT_M;
  tvel = get_tp(pars_tp, tf,[],tL(:,1)*kT_M); 
  ELw = L_m*tvel(:,4)/del_M; 
    
  % pack to output
  prdData.tL = ELw;
  