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| 1 | +! |
| 2 | +! namelist of EnKF inputs |
| 3 | +! |
| 4 | +! CUSTOM version for coupled land-atm DAS with soil moisture analysis based on SMAP Tb obs |
| 5 | +! |
| 6 | +! -------------------------------------------------------------------- |
| 7 | + |
| 8 | +&ens_prop_inputs |
| 9 | + |
| 10 | +progn_pert_dtstep = 10800 ! time step for generation of AR(1) prognostics perts [s] |
| 11 | + |
| 12 | +force_pert_dtstep = 10800 ! time step for generation of AR(1) forcing perts [s] |
| 13 | + |
| 14 | +! --------------------------------------------------------------------- |
| 15 | +! |
| 16 | +! forcing error (or forcing perturbation) parameters |
| 17 | +! |
| 18 | + |
| 19 | +descr_force_pert%pcp = 'pcp' |
| 20 | +descr_force_pert%sw = 'sw' |
| 21 | +descr_force_pert%lw = 'lw' |
| 22 | +descr_force_pert%tair = 'tair' |
| 23 | +descr_force_pert%qair = 'qair' |
| 24 | +descr_force_pert%wind = 'wind' |
| 25 | + |
| 26 | +! specify whether forcing perturbations are additive or multiplicative |
| 27 | +! |
| 28 | +! additive: typ = 0. |
| 29 | +! multiplicative and lognormal: typ = 1. |
| 30 | +! |
| 31 | + |
| 32 | +typ_force_pert%pcp = 1. |
| 33 | +typ_force_pert%sw = 1. |
| 34 | +typ_force_pert%lw = 0. |
| 35 | + |
| 36 | + |
| 37 | +std_force_pert%pcp = 0.5 ! units if additive: [kg/m2/s], if multiplicative: [fraction] |
| 38 | +std_force_pert%sw = 0.3 ! units if additive: [W/m^2] , if multiplicative: [fraction] |
| 39 | +std_force_pert%lw = 20. ! units if additive: [W/m^2] , if multiplicative: [fraction] |
| 40 | + |
| 41 | +! read error std-dev from file? (if .false., default values above apply) |
| 42 | + |
| 43 | +stdfromfile_force_pert%pcp = .false. |
| 44 | +stdfromfile_force_pert%sw = .false. |
| 45 | +stdfromfile_force_pert%lw = .false. |
| 46 | + |
| 47 | +! specify file name (with full path) that contains std-dev values |
| 48 | + |
| 49 | +stdfilename_force_pert = '' |
| 50 | + |
| 51 | +! enforce zero (sample) mean across ensemble? |
| 52 | + |
| 53 | +zeromean_force_pert%pcp = .true. |
| 54 | +zeromean_force_pert%sw = .true. |
| 55 | +zeromean_force_pert%lw = .true. |
| 56 | + |
| 57 | +! allow perturbations to be computed on coarsened grid? |
| 58 | + |
| 59 | +coarsen_force_pert%pcp = .true. |
| 60 | +coarsen_force_pert%sw = .true. |
| 61 | +coarsen_force_pert%lw = .true. |
| 62 | + |
| 63 | +! max perturbation relative to standard normal |
| 64 | +! (limits on range of random numbers: specify max absolute value |
| 65 | +! allowed to be drawn from a standard normal distribution) |
| 66 | + |
| 67 | +std_normal_max_force_pert%pcp = 3. |
| 68 | +std_normal_max_force_pert%sw = 3. |
| 69 | +std_normal_max_force_pert%lw = 2.5 |
| 70 | + |
| 71 | +! spatial correlation of forcing perturbations |
| 72 | + |
| 73 | +xcorr_force_pert%pcp = 0.5 ! [deg] |
| 74 | +xcorr_force_pert%sw = 0.5 ! [deg] |
| 75 | +xcorr_force_pert%lw = 0.5 ! [deg] |
| 76 | + |
| 77 | +ycorr_force_pert%pcp = 0.5 ! [deg] |
| 78 | +ycorr_force_pert%sw = 0.5 ! [deg] |
| 79 | +ycorr_force_pert%lw = 0.5 ! [deg] |
| 80 | + |
| 81 | +! temporal correlation of forcing perturbations |
| 82 | + |
| 83 | +tcorr_force_pert%pcp = 86400. ! [s] |
| 84 | +tcorr_force_pert%sw = 86400. ! [s] |
| 85 | +tcorr_force_pert%lw = 86400. ! [s] |
| 86 | + |
| 87 | +! correlation coefficients -1 <= rho <= 1 |
| 88 | +! |
| 89 | +! specify only essential information, the other side of off-diagonals and |
| 90 | +! the diagonal will be filled in later (subroutines read_ens_prop_inputs |
| 91 | +! and get_force_pert_inputs) |
| 92 | + |
| 93 | +ccorr_force_pert%pcp%sw = -.8 |
| 94 | +ccorr_force_pert%pcp%lw = .5 |
| 95 | + |
| 96 | +ccorr_force_pert%sw%lw = -.5 |
| 97 | + |
| 98 | + |
| 99 | +! --------------------------------------------------------------------- |
| 100 | +! |
| 101 | +! model error (or progn_pert) parameters |
| 102 | +! |
| 103 | +! the mean is computed according to "typ" for unbiased perturbations |
| 104 | +! and not specified here |
| 105 | + |
| 106 | +! string that describes the prognostics to be perturbed |
| 107 | +! (see subroutine apply_progn_pert() for details) |
| 108 | + |
| 109 | +descr_progn_pert%catdef = 'catdef' |
| 110 | +descr_progn_pert%srfexc = 'srfexc' |
| 111 | + |
| 112 | + |
| 113 | +! specify whether model error is additive or multiplicative |
| 114 | +! |
| 115 | +! additive: typ = 0. |
| 116 | +! multiplicative and lognormal: typ = 1. |
| 117 | +! |
| 118 | +! real numbers are used so that "assemble_state()" can |
| 119 | +! be used to assemble the model error parameters |
| 120 | + |
| 121 | +typ_progn_pert%catdef = 0. |
| 122 | +typ_progn_pert%srfexc = 0. |
| 123 | + |
| 124 | + |
| 125 | +! The perturbation (or error) std-dev can be specified as a spatially constant |
| 126 | +! (default) value. Alternatively, perturbation std-dev values can be read from |
| 127 | +! a netcdf-4 input file (where they may be spatially constant or distributed). |
| 128 | +! See subroutines get_progn_pert_param() and get_force_pert_param(). |
| 129 | +! |
| 130 | +! Turn off all perturbations by setting std-dev values to zero and |
| 131 | +! "stdfromfile" to false. |
| 132 | +! |
| 133 | +! Default, spatially homogeneous perturbations std-dev |
| 134 | +! (used unless std-devs are read from file, see below) |
| 135 | + |
| 136 | +std_progn_pert%catdef = 0.24 ! units if additive: [kg/m2/HOUR], if multiplicative: [fraction/HOUR] |
| 137 | +std_progn_pert%srfexc = 0.16 ! units if additive: [kg/m2/HOUR], if multiplicative: [fraction/HOUR] |
| 138 | + |
| 139 | + |
| 140 | +! read error std-dev from file? (if .false., default values above apply) |
| 141 | + |
| 142 | +stdfromfile_progn_pert%catdef = .false. |
| 143 | +stdfromfile_progn_pert%srfexc = .false. |
| 144 | + |
| 145 | +! specify file name (with full path) that contains std-dev values |
| 146 | + |
| 147 | +stdfilename_progn_pert = '' |
| 148 | + |
| 149 | +! enforce zero (sample) mean across ensemble? |
| 150 | + |
| 151 | +zeromean_progn_pert%catdef = .true. |
| 152 | +zeromean_progn_pert%srfexc = .true. |
| 153 | + |
| 154 | +! allow perturbations to be computed on coarsened grid? |
| 155 | + |
| 156 | +coarsen_progn_pert%catdef = .false. |
| 157 | +coarsen_progn_pert%srfexc = .false. |
| 158 | + |
| 159 | +! max perturbation relative to standard normal |
| 160 | +! (limits on range of random numbers: specify max absolute value |
| 161 | +! allowed to be drawn from a standard normal distribution) |
| 162 | + |
| 163 | +std_normal_max_progn_pert%catdef = 2.5 |
| 164 | +std_normal_max_progn_pert%srfexc = 2.5 |
| 165 | + |
| 166 | +! model error spatial correlation [deg] |
| 167 | +! (x runs east-west, y runs north-south) |
| 168 | + |
| 169 | +xcorr_progn_pert%catdef = 0.3 ! [deg] |
| 170 | +xcorr_progn_pert%srfexc = 0.3 ! [deg] |
| 171 | + |
| 172 | +ycorr_progn_pert%catdef = 0.3 ! [deg] |
| 173 | +ycorr_progn_pert%srfexc = 0.3 ! [deg] |
| 174 | + |
| 175 | +! model error temporal correlation [s] |
| 176 | + |
| 177 | +tcorr_progn_pert%catdef = 10800. ! [s] |
| 178 | +tcorr_progn_pert%srfexc = 10800. ! [s] |
| 179 | + |
| 180 | +! correlation coefficients -1 <= rho <= 1 |
| 181 | +! |
| 182 | +! specify only essential information, the other side of off-diagonals and |
| 183 | +! the diagonal will be filled in later (subroutines read_ens_prop_inputs |
| 184 | +! and get_force_pert_inputs) |
| 185 | +! |
| 186 | +! (the default input list below was put together with matlab |
| 187 | +! script create_ccorr_cat_progn_default.m) |
| 188 | + |
| 189 | +ccorr_progn_pert%catdef%srfexc = 0.0 |
| 190 | + |
| 191 | +/ |
| 192 | + |
| 193 | +! =========================== EOF ======================================= |
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