1 | % ================================================================ |
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2 | % Chapter Assimilation increments (ASM) |
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3 | % ================================================================ |
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4 | \chapter{Apply assimilation increments (ASM)} |
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5 | \label{ASM} |
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6 | |
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7 | Authors: D. Lea, K. Mogensen, A. Weaver, M. Martin ... |
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8 | |
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9 | \minitoc |
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10 | |
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11 | |
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12 | \newpage |
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13 | $\ $\newline % force a new line |
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14 | |
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15 | The ASM branch adds the functionality to apply increments to model variables, temperature, salinity, sea surface |
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16 | height, velocity and sea ice concentration. These are |
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17 | read into the model from a file which may be produced by data assimilation. This code is controlled by the namelist |
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18 | \np{nam\_asminc}. There is a brief description of all the namelist options provided. To build the ASM code |
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19 | \np{key\_asminc} must be |
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20 | set. |
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21 | |
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22 | %=============================================================== |
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23 | |
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24 | \subsection{Direct initialization} |
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25 | |
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26 | Direct initialization refers to the instantaneous correction |
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27 | of the model background state using the analysis increment. |
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28 | |
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29 | \subsection{Incremental Analysis Updates} |
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30 | |
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31 | Rather than updating the model state directly with the analysis increment, |
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32 | it may be preferable to introduce the increment gradually into the ocean |
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33 | model in order to minimize spurious adjustment processes. This technique |
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34 | is referred to as Incremental Analysis Updates (IAU; Bloom etal~1996). |
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35 | IAU is a common technique used with 3D assimilation methods such as 3D-Var |
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36 | or OI. |
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37 | |
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38 | With IAU, the model state trajectory in the assimilation window |
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39 | ($t_{0} \leq t_{i} \leq t_{N}$) |
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40 | is corrected by adding the analysis increments for |
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41 | for temperature, salinity, horizontal velocity and SSH |
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42 | as additional tendency terms to the prognostic equations: |
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43 | \begin{eqnarray} |
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44 | {\bf x}^{a}(t_{i}) = M(t_{i}, t_{0})[{\bf x}^{b}(t_{0})] |
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45 | \; + \; F_{i} \delta \tilde{\bf x}^{a} |
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46 | \label{eq:wa_traj_iau} |
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47 | \end{eqnarray} |
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48 | where $F_{i}$ is a weighting function defined such that |
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49 | $\sum_{i=1}^{N} F_{i}=1$. |
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50 | To control the adjustment time of the model to the increment, |
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51 | the increment can be applied over an arbitrary sub-window, |
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52 | $t_{m} \leq t_{i} \leq t_{n}$, of the main assimilation window, |
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53 | where $t_{0} \leq t_{m} \leq t_{i}$ and $t_{i} \leq t_{n} \leq t_{N}$, |
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54 | Typically the increments are spread evenly over the full window. |
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55 | In addition, two different weighting functions have been implemented. |
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56 | The first function employs constant weights, |
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57 | \begin{eqnarray} |
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58 | F^{(1)}_{i} |
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59 | =\left\{ \begin{array}{ll} |
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60 | 0 & |
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61 | {\rm if} \; \; \; t_{i} < t_{m} \\ |
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62 | 1/M & |
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63 | {\rm if} \; \; \; t_{m} < t_{i} \leq t_{n} \\ |
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64 | 0 & |
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65 | {\rm if} \; \; \; t_{i} > t_{n} |
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66 | \end{array} \right. |
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67 | \label{eq:F1_i} |
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68 | \end{eqnarray} |
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69 | where $M = m-n$. |
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70 | The second function employs peaked hat-like weights in order to give maximum |
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71 | weight in the centre of the sub-window, with the weighting reduced |
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72 | linearly to a small value at the window end-points. |
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73 | \begin{eqnarray} |
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74 | F^{(2)}_{i} |
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75 | =\left\{ \begin{array}{ll} |
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76 | 0 & |
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77 | {\rm if} \; \; \; t_{i} < t_{m} \\ |
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78 | \alpha \, i & |
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79 | {\rm if} \; \; \; t_{m} \leq t_{i} \leq t_{M/2} \\ |
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80 | \alpha \, (M - i +1) & |
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81 | {\rm if} \; \; \; t_{M/2} < t_{i} \leq t_{n} \\ |
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82 | 0 & |
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83 | {\rm if} \; \; \; t_{i} > t_{n} |
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84 | \end{array} \right. |
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85 | \label{eq:F2_i} |
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86 | \end{eqnarray} |
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87 | where $\alpha^{-1} = \sum_{i=1}^{M/2} 2i$ and $M$ is assumed to be even. |
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88 | The weights described by Eq.~(\ref{eq:F2_i}) provide a |
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89 | smoother transition of the analysis trajectory from one assimilation cycle |
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90 | to the next than that described by Eq.~(\ref{eq:F1_i}). |
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91 | |
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92 | %========================================================================================== |
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93 | |
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94 | \section{Implementation details} |
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95 | \label{ASM_details} |
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96 | |
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97 | Here we show an example namelist and the header of an example assimilation increments file on the ORCA2 grid. |
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98 | |
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99 | \namdisplay{namasm} |
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100 | |
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101 | \subsection{Assimilation increments file} |
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102 | |
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103 | The header of an assimilation increments file produced using \np{ncdump -h} is shown below |
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104 | |
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105 | \begin{alltt} |
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106 | \tiny |
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107 | \begin{verbatim} |
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108 | netcdf assim_background_increments { |
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109 | dimensions: |
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110 | x = 182 ; |
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111 | y = 149 ; |
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112 | z = 31 ; |
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113 | t = UNLIMITED ; // (1 currently) |
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114 | variables: |
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115 | float nav_lon(y, x) ; |
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116 | float nav_lat(y, x) ; |
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117 | float nav_lev(z) ; |
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118 | double time_counter(t) ; |
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119 | double time ; |
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120 | double z_inc_dateb ; |
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121 | double z_inc_datef ; |
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122 | double bckint(t, z, y, x) ; |
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123 | double bckins(t, z, y, x) ; |
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124 | double bckinu(t, z, y, x) ; |
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125 | double bckinv(t, z, y, x) ; |
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126 | double bckineta(t, y, x) ; |
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127 | |
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128 | // global attributes: |
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129 | :DOMAIN_number_total = 1 ; |
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130 | :DOMAIN_number = 0 ; |
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131 | :DOMAIN_dimensions_ids = 1, 2 ; |
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132 | :DOMAIN_size_global = 182, 149 ; |
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133 | :DOMAIN_size_local = 182, 149 ; |
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134 | :DOMAIN_position_first = 1, 1 ; |
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135 | :DOMAIN_position_last = 182, 149 ; |
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136 | :DOMAIN_halo_size_start = 0, 0 ; |
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137 | :DOMAIN_halo_size_end = 0, 0 ; |
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138 | :DOMAIN_type = "BOX" ; |
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139 | } |
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140 | \end{verbatim} |
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141 | \end{alltt} |
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