id | field name | definition |
0 | dsr_time |
binary time | size: 12 |
Time of creation
unit: "s since 2000-01-01"
value: float(./days) * 86400 + float(./seconds) + float(./microseconds) / 1000000
binary record | size: 12 |
ENVISAT binary datetime
id | field name | definition |
0 | days |
binary int32 | size: 4 |
days since January 1st, 2000 (may be negative)
unit: "days since 2000-01-01"
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1 | seconds |
binary uint32 | size: 4 |
seconds since start of day
unit: "s"
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2 | microseconds |
binary uint32 | size: 4 |
microseconds since start of second
unit: "1e-6 s"
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1 | dsr_length |
binary uint32 | size: 4 |
Length of this DSR in bytes
unit: "bytes"
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2 | attach_flag |
binary uint8 | size: 1 |
Attachment flag (always set to zero for this ADS)
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3 | noffset |
binary uint16 | size: 2 |
Index of highest considered geometry for continuum fit
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4 | ngeo_cont |
binary uint16 | size: 2 |
Number of geometries used for continuum fit
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5 | cont_occ |
binary array[dim_0, dim_1] |
Continuum occupation matrix
dim_0: int(../ngeo_cont)
dim_1: int(/mw_occupation_matrix_ads[index(:/..)]/nmw)
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6 | occ_close |
binary array[dim_0, dim_1] |
Occupation matrix of close to close microwindows
dim_0: int(../ngeo_cont)
dim_1: int(/mw_occupation_matrix_ads[index(:/..)]/nmw)
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7 | group_type |
binary array[dim_0, dim_1] |
Types of grouping for continuum fit
dim_0: int(../ngeo_cont)
dim_1: int(/mw_occupation_matrix_ads[index(:/..)]/nmw)
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8 | nmw_cont |
binary array[dim_0] |
Number of microwindows considered for continuum fit at geometries used for continuum fit
dim_0: int(../ngeo_cont)
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9 | tot_mw |
binary array[dim_0] |
total number of microwindows selected at geometries used for continuum fit
dim_0: int(../ngeo_cont)
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10 | rel_ind_info |
binary array[dim_0] |
Relative index of microwindows considered for continuum fit (one at each geometry used for continuum fit)
dim_0: int(../ngeo_cont)
binary array[dim_0] |
dim_0: int(../../nmw_cont[index(:)])
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11 | prog_enum_info |
binary array[dim_0] |
Progressive enumeration of microwindows considered for continuum fit (one at each geometry used for continuum fit)
dim_0: int(../ngeo_cont)
binary array[dim_0] |
dim_0: int(../../nmw_cont[index(:)])
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12 | abs_ind_info |
binary array[dim_0] |
Absolute index of all microwindows selected (one at each geometry used for continuum fit)
dim_0: int(../ngeo_cont)
binary array[dim_0] |
dim_0: int(../../tot_mw[index(:)])
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13 | num_interp_info |
binary array[dim_0] |
Number of continuum values to be interpolated (one at each geometry used for continuum fit)
dim_0: int(../ngeo_cont)
binary array[dim_0] |
dim_0: int(../../nmw_cont[index(:)]) - 1
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14 | nholedmw |
binary uint16 | size: 2 |
Total number of 'holed' microwindows
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15 | tot_holes |
binary uint16 | size: 2 |
Total number of holes in occupation matrix
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16 | num_holes |
binary array[dim_0] |
Number of holes in each holed microwindow
dim_0: int(../nholedmw)
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17 | ind_holes |
binary array[dim_0] |
Indices of holed microwindow
dim_0: int(../nholedmw)
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18 | ind_geom_info |
binary array[dim_0] |
Indices of geometries containing holes (one for each holed microwindow)
dim_0: int(../nholedmw)
binary array[dim_0] |
dim_0: int(../../ind_holes[index(:)])
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