NED.TAB: Quality value=NaN for some N_ED=fill value #51
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frejon
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Jan 13, 2020
710 interpolation routine (for calibrating USC>NED) inherited LAP2 time stamps (which is sparser than LAP1). which caused the interpolation and associated QVs to give NAN values (which were correctly changed to -1e9) and the quality value to give NAN The second bug is from an erroneous NEDFlag (i.e. probe number), stemming from a Matlab bug (with no error message). when LAP1 LAP2 in e-field mode, and LAP1 is shadowed. Bugs confined to NED files in ESC2- EXT3
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Only concerns 11 NED.TAB files in EXT3.
Quality value is NaN for (at least approximately) every fifth row. N_ED is always fill value.
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/AUG/D04/LAP_20160804_110211_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D20/LAP_20160920_172156_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D21/LAP_20160921_000003_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D21/LAP_20160921_080404_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D21/LAP_20160921_160404_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D22/LAP_20160922_000020_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D23/LAP_20160923_000020_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D27/LAP_20160927_223148_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D28/LAP_20160928_000052_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D29/LAP_20160929_130212_710_NED.TAB
RO-C-RPCLAP-5-EXT3-DERIV2-V1.0/DATA/DERIVED/2016/SEP/D30/LAP_20160930_000052_710_NED.TAB
Example:
2016-09-29T21:26:08.000, 433805078.486428, 8.8660941e+01, 0.00, 1, 000
2016-09-29T21:27:12.000, 433805142.486428, -1.0000000e+09, NaN, 1, 000
2016-09-29T21:27:44.000, 433805174.486428, 8.6825882e+01, 0.00, 1, 000
2016-09-29T21:28:16.000, 433805206.486428, 9.0414521e+01, 0.00, 1, 000
2016-09-29T21:28:48.000, 433805238.486428, 9.2345306e+01, 0.00, 1, 000
2016-09-29T21:29:20.000, 433805270.486428, 9.6239409e+01, 0.00, 1, 000
2016-09-29T21:30:24.000, 433805334.486428, -1.0000000e+09, NaN, 1, 000
2016-09-29T21:30:56.000, 433805366.486428, 9.1137102e+01, 0.00, 1, 000
2016-09-29T21:31:28.000, 433805398.486428, 9.3287681e+01, 0.00, 1, 000
2016-09-29T21:32:00.000, 433805430.486428, 9.4389160e+01, 0.00, 1, 000
2016-09-29T21:32:32.000, 433805462.486428, 9.2975301e+01, 0.00, 1, 000
2016-09-29T21:33:36.000, 433805526.486428, -1.0000000e+09, NaN, 1, 000
2016-09-29T21:34:08.000, 433805558.486428, 9.0146546e+01, 0.00, 1, 000
2016-09-29T21:34:40.000, 433805590.486428, 9.1049143e+01, 0.00, 1, 000
2016-09-29T21:35:12.000, 433805622.486428, 9.2693858e+01, 0.00, 1, 000
2016-09-29T21:35:44.000, 433805654.486428, 9.6528234e+01, 0.00, 1, 000
2016-09-29T21:36:48.000, 433805718.486428, -1.0000000e+09, NaN, 1, 000
2016-09-29T21:37:20.000, 433805750.486428, 9.1528490e+01, 0.00, 1, 000
2016-09-29T21:37:52.000, 433805782.486428, 9.2801193e+01, 0.00, 1, 000
2016-09-29T21:38:24.000, 433805814.486428, 9.5903569e+01, 0.00, 1, 000
2016-09-29T21:38:56.000, 433805846.486428, 8.9705834e+01, 0.00, 1, 000
2016-09-29T21:40:00.000, 433805910.486428, -1.0000000e+09, NaN, 1, 000
2016-09-29T21:40:32.000, 433805942.486428, 9.2695368e+01, 0.00, 1, 000
2016-09-29T21:41:04.000, 433805974.486428, 9.2722573e+01, 0.00, 1, 000
2016-09-29T21:41:36.000, 433806006.486428, 9.6575789e+01, 0.00, 1, 000
2016-09-29T21:42:08.000, 433806038.486428, 9.3319968e+01, 0.00, 1, 000
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