1 | |
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2 | ! $Header$ |
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3 | |
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4 | |
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5 | ! ================================================================================ |
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6 | |
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7 | SUBROUTINE clouds_gno(klon, nd, r, rs, qsub, ptconv, ratqsc, cldf) |
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8 | IMPLICIT NONE |
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9 | |
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10 | ! -------------------------------------------------------------------------------- |
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11 | |
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12 | ! Inputs: |
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13 | |
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14 | ! ND----------: Number of vertical levels |
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15 | ! R--------ND-: Domain-averaged mixing ratio of total water |
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16 | ! RS-------ND-: Mean saturation humidity mixing ratio within the gridbox |
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17 | ! QSUB-----ND-: Mixing ratio of condensed water within clouds associated |
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18 | ! with SUBGRID-SCALE condensation processes (here, it is |
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19 | ! predicted by the convection scheme) |
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20 | ! Outputs: |
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21 | |
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22 | ! PTCONV-----ND-: Point convectif = TRUE |
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23 | ! RATQSC-----ND-: Largeur normalisee de la distribution |
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24 | ! CLDF-----ND-: Fraction nuageuse |
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25 | |
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26 | ! -------------------------------------------------------------------------------- |
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27 | |
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28 | |
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29 | INTEGER klon, nd |
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30 | REAL r(klon, nd), rs(klon, nd), qsub(klon, nd) |
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31 | LOGICAL ptconv(klon, nd) |
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32 | REAL ratqsc(klon, nd) |
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33 | REAL cldf(klon, nd) |
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34 | |
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35 | ! -- parameters controlling the iteration: |
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36 | ! -- nmax : maximum nb of iterations (hopefully never reached) |
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37 | ! -- epsilon : accuracy of the numerical resolution |
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38 | ! -- vmax : v-value above which we use an asymptotic expression for |
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39 | ! ERF(v) |
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40 | |
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41 | INTEGER nmax |
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42 | PARAMETER (nmax=10) |
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43 | REAL epsilon, vmax0, vmax(klon) |
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44 | PARAMETER (epsilon=0.02, vmax0=2.0) |
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45 | |
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46 | REAL min_mu, min_q |
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47 | PARAMETER (min_mu=1.E-12, min_q=1.E-12) |
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48 | |
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49 | INTEGER i, k, n, m |
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50 | REAL mu(klon), qsat, delta(klon), beta(klon) |
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51 | REAL zu2, zv2 |
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52 | REAL xx(klon), aux(klon), coeff, block |
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53 | REAL dist, fprime, det |
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54 | REAL pi, u, v, erfcu, erfcv |
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55 | REAL xx1, xx2 |
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56 | REAL erf, hsqrtlog_2, v2 |
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57 | REAL sqrtpi, sqrt2, zx1, zx2, exdel |
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58 | ! lconv = true si le calcul a converge (entre autre si qsub < min_q) |
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59 | LOGICAL lconv(klon) |
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60 | |
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61 | ! cdir arraycomb |
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62 | cldf(1:klon, 1:nd) = 0.0 ! cym |
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63 | ratqsc(1:klon, 1:nd) = 0.0 |
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64 | ptconv(1:klon, 1:nd) = .FALSE. |
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65 | ! cdir end arraycomb |
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66 | |
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67 | pi = acos(-1.) |
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68 | sqrtpi = sqrt(pi) |
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69 | sqrt2 = sqrt(2.) |
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70 | hsqrtlog_2 = 0.5*sqrt(log(2.)) |
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71 | |
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72 | DO k = 1, nd |
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73 | |
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74 | DO i = 1, klon ! vector |
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75 | mu(i) = r(i, k) |
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76 | mu(i) = max(mu(i), min_mu) |
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77 | qsat = rs(i, k) |
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78 | qsat = max(qsat, min_mu) |
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79 | delta(i) = log(mu(i)/qsat) |
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80 | ! enddo ! vector |
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81 | |
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82 | |
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83 | ! *** There is no subgrid-scale condensation; *** |
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84 | ! *** the scheme becomes equivalent to an "all-or-nothing" *** |
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85 | ! *** large-scale condensation scheme. *** |
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86 | |
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87 | |
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88 | |
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89 | ! *** Some condensation is produced at the subgrid-scale *** |
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90 | ! *** *** |
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91 | ! *** PDF = generalized log-normal distribution (GNO) *** |
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92 | ! *** (k<0 because a lower bound is considered for the PDF) *** |
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93 | ! *** *** |
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94 | ! *** -> Determine x (the parameter k of the GNO PDF) such *** |
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95 | ! *** that the contribution of subgrid-scale processes to *** |
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96 | ! *** the in-cloud water content is equal to QSUB(K) *** |
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97 | ! *** (equations (13), (14), (15) + Appendix B of the paper) *** |
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98 | ! *** *** |
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99 | ! *** Here, an iterative method is used for this purpose *** |
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100 | ! *** (other numerical methods might be more efficient) *** |
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101 | ! *** *** |
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102 | ! *** NB: the "error function" is called ERF *** |
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103 | ! *** (ERF in double precision) *** |
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104 | |
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105 | |
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106 | ! On commence par eliminer les cas pour lesquels on n'a pas |
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107 | ! suffisamment d'eau nuageuse. |
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108 | |
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109 | ! do i=1,klon ! vector |
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110 | |
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111 | IF (qsub(i,k)<min_q) THEN |
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112 | ptconv(i, k) = .FALSE. |
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113 | ratqsc(i, k) = 0. |
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114 | lconv(i) = .TRUE. |
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115 | |
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116 | ! Rien on a deja initialise |
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117 | |
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118 | ELSE |
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119 | |
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120 | lconv(i) = .FALSE. |
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121 | vmax(i) = vmax0 |
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122 | |
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123 | beta(i) = qsub(i, k)/mu(i) + exp(-min(0.0,delta(i))) |
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124 | |
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125 | ! -- roots of equation v > vmax: |
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126 | |
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127 | det = delta(i) + vmax(i)*vmax(i) |
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128 | IF (det<=0.0) vmax(i) = vmax0 + 1.0 |
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129 | det = delta(i) + vmax(i)*vmax(i) |
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130 | |
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131 | IF (det<=0.) THEN |
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132 | xx(i) = -0.0001 |
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133 | ELSE |
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134 | zx1 = -sqrt2*vmax(i) |
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135 | zx2 = sqrt(1.0+delta(i)/(vmax(i)*vmax(i))) |
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136 | xx1 = zx1*(1.0-zx2) |
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137 | xx2 = zx1*(1.0+zx2) |
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138 | xx(i) = 1.01*xx1 |
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139 | IF (xx1>=0.0) xx(i) = 0.5*xx2 |
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140 | END IF |
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141 | IF (delta(i)<0.) xx(i) = -hsqrtlog_2 |
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142 | |
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143 | END IF |
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144 | |
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145 | END DO ! vector |
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146 | |
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147 | ! ---------------------------------------------------------------------- |
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148 | ! Debut des nmax iterations pour trouver la solution. |
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149 | ! ---------------------------------------------------------------------- |
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150 | |
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151 | DO n = 1, nmax |
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152 | |
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153 | DO i = 1, klon ! vector |
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154 | IF (.NOT. lconv(i)) THEN |
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155 | |
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156 | u = delta(i)/(xx(i)*sqrt2) + xx(i)/(2.*sqrt2) |
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157 | v = delta(i)/(xx(i)*sqrt2) - xx(i)/(2.*sqrt2) |
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158 | v2 = v*v |
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159 | |
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160 | IF (v>vmax(i)) THEN |
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161 | |
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162 | IF (abs(u)>vmax(i) .AND. delta(i)<0.) THEN |
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163 | |
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164 | ! -- use asymptotic expression of erf for u and v large: |
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165 | ! ( -> analytic solution for xx ) |
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166 | exdel = beta(i)*exp(delta(i)) |
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167 | aux(i) = 2.0*delta(i)*(1.-exdel)/(1.+exdel) |
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168 | IF (aux(i)<0.) THEN |
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169 | ! print*,'AUX(',i,',',k,')<0',aux(i),delta(i),beta(i) |
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170 | aux(i) = 0. |
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171 | END IF |
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172 | xx(i) = -sqrt(aux(i)) |
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173 | block = exp(-v*v)/v/sqrtpi |
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174 | dist = 0.0 |
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175 | fprime = 1.0 |
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176 | |
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177 | ELSE |
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178 | |
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179 | ! -- erfv -> 1.0, use an asymptotic expression of erfv for v |
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180 | ! large: |
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181 | |
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182 | erfcu = 1.0 - erf(u) |
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183 | ! !!! ATTENTION : rajout d'un seuil pour l'exponentiel |
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184 | aux(i) = sqrtpi*erfcu*exp(min(v2,100.)) |
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185 | coeff = 1.0 - 0.5/(v2) + 0.75/(v2*v2) |
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186 | block = coeff*exp(-v2)/v/sqrtpi |
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187 | dist = v*aux(i)/coeff - beta(i) |
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188 | fprime = 2.0/xx(i)*(v2)*(exp(-delta(i))-u*aux(i)/coeff)/coeff |
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189 | |
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190 | END IF ! ABS(u) |
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191 | |
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192 | ELSE |
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193 | |
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194 | ! -- general case: |
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195 | |
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196 | erfcu = 1.0 - erf(u) |
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197 | erfcv = 1.0 - erf(v) |
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198 | block = erfcv |
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199 | dist = erfcu/erfcv - beta(i) |
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200 | zu2 = u*u |
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201 | zv2 = v2 |
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202 | IF (zu2>20. .OR. zv2>20.) THEN |
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203 | ! print*,'ATTENTION !!! xx(',i,') =', xx(i) |
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204 | ! print*,'ATTENTION !!! klon,ND,R,RS,QSUB,PTCONV,RATQSC,CLDF', |
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205 | ! .klon,ND,R(i,k),RS(i,k),QSUB(i,k),PTCONV(i,k),RATQSC(i,k), |
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206 | ! .CLDF(i,k) |
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207 | ! print*,'ATTENTION !!! zu2 zv2 =',zu2(i),zv2(i) |
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208 | zu2 = 20. |
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209 | zv2 = 20. |
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210 | fprime = 0. |
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211 | ELSE |
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212 | fprime = 2./sqrtpi/xx(i)/(erfcv*erfcv)* & |
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213 | (erfcv*v*exp(-zu2)-erfcu*u*exp(-zv2)) |
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214 | END IF |
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215 | END IF ! x |
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216 | |
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217 | ! -- test numerical convergence: |
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218 | |
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219 | ! if (beta(i).lt.1.e-10) then |
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220 | ! print*,'avant test ',i,k,lconv(i),u(i),v(i),beta(i) |
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221 | ! stop |
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222 | ! endif |
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223 | IF (abs(fprime)<1.E-11) THEN |
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224 | ! print*,'avant test fprime<.e-11 ' |
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225 | ! s ,i,k,lconv(i),u(i),v(i),beta(i),fprime(i) |
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226 | ! print*,'klon,ND,R,RS,QSUB', |
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227 | ! s klon,ND,R(i,k),rs(i,k),qsub(i,k) |
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228 | fprime = sign(1.E-11, fprime) |
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229 | END IF |
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230 | |
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231 | |
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232 | IF (abs(dist/beta(i))<epsilon) THEN |
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233 | ! print*,'v-u **2',(v(i)-u(i))**2 |
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234 | ! print*,'exp v-u **2',exp((v(i)-u(i))**2) |
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235 | ptconv(i, k) = .TRUE. |
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236 | lconv(i) = .TRUE. |
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237 | ! borne pour l'exponentielle |
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238 | ratqsc(i, k) = min(2.*(v-u)*(v-u), 20.) |
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239 | ratqsc(i, k) = sqrt(exp(ratqsc(i,k))-1.) |
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240 | cldf(i, k) = 0.5*block |
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241 | ELSE |
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242 | xx(i) = xx(i) - dist/fprime |
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243 | END IF |
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244 | ! print*,'apres test ',i,k,lconv(i) |
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245 | |
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246 | END IF ! lconv |
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247 | END DO ! vector |
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248 | |
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249 | ! ---------------------------------------------------------------------- |
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250 | ! Fin des nmax iterations pour trouver la solution. |
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251 | END DO ! n |
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252 | ! ---------------------------------------------------------------------- |
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253 | |
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254 | |
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255 | END DO |
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256 | ! K |
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257 | RETURN |
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258 | END SUBROUTINE clouds_gno |
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259 | |
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260 | |
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261 | |
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