function [prdData, info] = predict_Fulmarus_glacialis(par, data, auxData)
  
  % unpack par, data, auxData
  cPar = parscomp_st(par); vars_pull(par); 
  vars_pull(cPar);  vars_pull(data);  vars_pull(auxData);

  if t_0 < 0 || p_M > 9500
      prdData = []; info = 0; return
  end
  
  % compute temperature correction factors
  TC_ab = tempcorr(temp.ab, T_ref, T_A);
  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];  % compose parameter vector
  [t_p, t_b, l_p, l_b, info] = get_tp(pars_tp, f); % -, scaled times & lengths
  
  % initial
  pars_UE0 = [V_Hb; g; k_J; k_M; v];
  U_E0 = initial_scaled_reserve(f, pars_UE0);
  E_0 = p_Am * U_E0;            % J, initial energy content
  Ww_0 = w_E * E_0/ mu_E/ d_E;  % g, initial wet weight

  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth at f
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth at f 
  aT_b = t_0 + t_b/ k_M/ TC_ab;     % d, age at birth at f and T

  % fledging/puberty
  tT_p = (t_p - t_b)/ kT_M;         % d, time since birth at fledging at f and T
  
  % ultimate
  l_i = f - l_T;                    % -, scaled ultimate length
  L_i = L_m * l_i;                  % cm, ultimate structural 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_Hp]; % compose parameter vector at T
  RT_i = TC * reprod_rate(L_i, f, pars_R);                % #/d, ultimate reproduction rate at T

  % 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/ kT_M;                     % d, mean life span at T
  
  % males
  p_Am_m = z_m * p_M/ kap;             % J/d.cm^2, {p_Am} spec assimilation flux
  E_m_m = p_Am_m/ v;                   % J/cm^3, reserve capacity [E_m]
  g_m = E_G/ (kap* E_m_m);             % -, energy investment ratio
  m_Em_m = y_E_V * E_m_m/ E_G;         % mol/mol, reserve capacity 
  w_m = m_Em_m * w_E/ w_V;             % -, contribution of reserve to weight
  L_mm = v/ k_M/ g_m;                  % cm, max struct length
  L_im = (f - l_T) * L_mm;             % cm, ultimate struct length
  Ww_im = L_im^3 * (1 + f * w_m);      % g, ultimate weight

  % pack to output
  prdData.ab = aT_b;
  prdData.tp = tT_p;
  prdData.tR = t_R;
  prdData.am = aT_m;
  prdData.Ww0 = Ww_0;
  prdData.Wwb = Ww_b;
  prdData.Wwi = Ww_i;
  prdData.Wwim = Ww_im;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  tf = [0 32 45 60; f_00 f_32 f_45 f_60]';
  [t, EL] = ode45(@get_EL, tW(:,1), [E_m, L_b], [], tf, v * TC, g, E_m, L_m, p_Am * TC); % EL: {J/cm^3, cm}, with {[E], L}
  EWw = EL(:,2).^3 .* (1 + EL(:,1) * w_E/ mu_E/ d_E); % g, wet weight
  
  % pack to output
  prdData.tW = EWw;

end

function dEL = get_EL(t, EL, tf, v, g, E_m, L_m, p_Am)
  E = EL(1); % J/cm^3, reserve density [E}
  L = EL(2); % cm, structural length
  
  f = spline1(t, tf);                    % -, scaled functional response at t
  dE = (f * p_Am - E * v)/ L;            % J/d.cm^3, change in reserve density d/dt [E]
  e = E/ E_m;                            % -, scaled reserve density
  r = v * (e/ L - 1/ L_m)/ (e + g);      % 1/d, specific growth rate
  dL = L * r/ 3;                         % cm/d, change in structural length d/dt L
  
  dEL = [dE; dL]; % catenate for output
end
  