id | field name | definition |
0 | dsr_time |
binary time | size: 12 |
Time of DSR ZPD time of sweep closest to scans mean time
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 | quality_flag |
binary int8 | size: 1 |
Quality indicator (set to -1 if retrieval failed. Set to 0 otherwise.)
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3 | conv_id |
binary uint16 | size: 2 |
ID of convergence condition terminating the iteration: 0=convergence reached; 1=maximum number of micro-iterations exceeded; 2=maximum number of macro-iterations exceeded; 3=maximum run-time exceeded; 4=retrieval failed
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4 | last_chi2 |
binary float | size: 4 |
Last Chi^2 test value
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5 | ig_flag |
binary uint8 | size: 1 |
Flag indicating source of used initial guess data: bitfield: 0x01=MIP_IG2_AX data file used; 0x02=ECMWF data file used; 0x04=optimum estimate used; 0x08=retrieved p,T data used; 0x10=MIP_FM2_AX data used; 0x20=Recursive loop for p,T retrieval and first VMR retrieval (usually H2O) entered (this bit is only reported for p,T retrieval)
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6 | tan_press |
binary array[dim_0] |
Tangent pressure of i'th LOS tangent altitude. Ordered from highest to lowest altitude
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts)
binary float | size: 4 |
unit: "hPa"
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7 | tan_press_var_cov |
binary array[dim_0] |
Tangent pressure variance / covariance data. Elements of diagonal and off-diagonal elements of variance/covariance matrix
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) * (int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) + 1) / 2
binary float | size: 4 |
unit: "hPa2"
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8 | h_corr |
binary array[dim_0] |
Height increment correction (dz) for i'th LOS tangent altitude.
dim_0: if(int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) != 0, int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) - 1, 0)
binary float | size: 4 |
unit: "m"
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9 | h_corr_var_cov |
binary array[dim_0] |
Height correction variance / covariance data. Elements of diagonal and off-diagonal elements of variance/covariance matrix.
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) * (int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) - 1) / 2
binary float | size: 4 |
unit: "m2"
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10 | temp |
binary array[dim_0] |
Temperature of i'th grid point.
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts)
binary float | size: 4 |
unit: "K"
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11 | temp_var_cov |
binary array[dim_0] |
Temperature profile variance / covariance data. Elements of diagonal and off-diagonal elements of variance/covariance matrix
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) * (int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) + 1) / 2
binary float | size: 4 |
unit: "K2"
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12 | pres_temp_var_cov |
binary array[dim_0, dim_1] |
Tangent pressure / temperature profile covariance data. Elements ptan-T profile covariance matrix. The value will be set to -10e30 for sweeps where pressure is not fitted
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts)
dim_1: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts)
binary float | size: 4 |
unit: "hPa.K"
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13 | base_alt |
binary array[dim_0] |
Altitude grid for base profiles
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_base_p_t_pts)
binary float | size: 4 |
unit: "km"
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14 | base_pres |
binary array[dim_0] |
Pressure profile consisting of retrieved pressure and assumed values above and below (= base profile)
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_base_p_t_pts)
binary float | size: 4 |
unit: "hPa"
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15 | base_temp |
binary array[dim_0] |
Temperature profile consisting of retrieved temperature and assumed values above and below (= base profile)
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_base_p_t_pts)
binary float | size: 4 |
unit: "K"
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16 | ecmwf_corr_alt |
binary array[dim_0] |
ECMWF corrected altitudes
dim_0: int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts)
binary float | size: 4 |
unit: "km"
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17 | avg_kernel |
binary array[dim_0] |
Averaging kernel matrix
dim_0: 2 * int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) * (2 * int(/dataset_structure_ads[$pt_structure_index[index(:/..)]]/num_p_t_pts) + 1) / 2
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18 | cond_param |
binary float | size: 4 |
conditioning parameter
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