INFO 2019-11-05 02:08:35,327Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 file... INFO 2019-11-05 02:08:35,328Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:36,603Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:36,623Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:36,633Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,642Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:08:36,685Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:36,694Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,703Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:08:36,745Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:36,754Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,762Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:08:36,804Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:36,812Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,821Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:08:36,863Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:36,872Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,881Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:08:36,922Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:36,930Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,939Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:08:36,980Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:36,988Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:36,997Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:08:37,037Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:37,046Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,054Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:08:37,095Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,103Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,112Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:08:37,153Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,161Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,170Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:08:37,211Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:37,220Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,228Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:08:37,269Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:37,277Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,286Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:08:37,327Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,336Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,345Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:08:37,386Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,394Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,403Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:08:37,443Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:37,452Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,460Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:08:37,501Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:08:37,509Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,518Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:08:37,543Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2019-11-05 02:08:37,547Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_oxygen_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,550Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_buoyancy_position empty so skipping INFO 2019-11-05 02:08:37,552Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_salinity empty so skipping INFO 2019-11-05 02:08:37,555Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_temperature empty so skipping WARNING 2019-11-05 02:08:37,555Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,555Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,558Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_elevator_angle empty so skipping WARNING 2019-11-05 02:08:37,558Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mole_concentration_of_nitrate_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,561Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_mass_position empty so skipping INFO 2019-11-05 02:08:37,567Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2019-11-05 02:08:37,573Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2019-11-05 02:08:37,578Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2019-11-05 02:08:37,580Z lrauvNc4ToNetcdf.py createSeries():225 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,581Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,583Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2019-11-05 02:08:37,597Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2019-11-05 02:08:37,600Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_rudder_angle empty so skipping INFO 2019-11-05 02:08:37,603Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_propeller_rotation_rate empty so skipping WARNING 2019-11-05 02:08:37,603Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'mass_concentration_of_chlorophyll_in_sea_water' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,603Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,603Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,606Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water empty so skipping INFO 2019-11-05 02:08:37,609Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_chlorophyll_in_sea_water empty so skipping INFO 2019-11-05 02:08:37,611Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2019-11-05 02:08:37,614Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable VolumeScatCoeff117deg700nm empty so skipping INFO 2019-11-05 02:08:37,617Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water empty so skipping INFO 2019-11-05 02:08:37,619Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable fix_residual_percent_distance_traveled empty so skipping INFO 2019-11-05 02:08:37,621Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,622Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,623Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:08:37,638Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:08:37,640Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,641Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,642Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:08:37,657Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:08:37,659Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:08:37,660Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:08:37,661Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:08:37,676Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2019-11-05 02:08:37,676Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,677Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,677Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:08:37,677Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,682Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_battery_charge empty so skipping INFO 2019-11-05 02:08:37,687Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_battery_voltage empty so skipping WARNING 2019-11-05 02:08:37,687Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:08:37,706Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:08:37,715Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:08:37,724Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_pitch_angle DEBUG 2019-11-05 02:08:37,750Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2019-11-05 02:08:37,754Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2019-11-05 02:08:37,755Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:37,774Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:08:37,782Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:08:37,791Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_roll_angle DEBUG 2019-11-05 02:08:37,817Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2019-11-05 02:08:37,821Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2019-11-05 02:08:37,822Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:37,840Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:08:37,849Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:08:37,858Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_orientation DEBUG 2019-11-05 02:08:37,883Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2019-11-05 02:08:37,887Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2019-11-05 02:08:37,888Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:08:37,889Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 DEBUG 2019-11-05 02:08:37,940Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:08:37,990Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:08:38,030Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:08:38,069Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:08:38,069Z lrauvNc4ToNetcdf.py nudge_coords():627 seg# end_sec_diff end_lon_diff end_lat_diff len(segi) seg_min u_drift (cm/s) v_drift (cm/s) start datetime of segment INFO 2019-11-05 02:08:38,071Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 317 2.13 - - - INFO 2019-11-05 02:08:38,073Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 547 3.68 - - INFO 2019-11-05 02:08:38,073Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 547 DEBUG 2019-11-05 02:08:38,074Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:08:38,089Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T233836/20191105T014424/data.csv INFO 2019-11-05 02:08:38,141Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:08:38,145Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['fix_time', 'fix_latitude', 'fix_longitude', 'PAR', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2019-11-05 02:08:38,146Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_2S_scieng.nc DEBUG 2019-11-05 02:08:38,151Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2019-11-05 02:08:38,159Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:08:38,162Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2019-11-05 02:08:38,165Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2019-11-05 02:08:38,167Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2019-11-05 02:08:38,170Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:38,172Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:38,175Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:08:38,177Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2019-11-05 02:08:38,184Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2019-11-05 02:08:38,187Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2019-11-05 02:08:38,190Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:08:38,193Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:08:38,195Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:08:38,202Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:08:38,326Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_2S_scieng.nc