INFO 2019-11-05 02:12:36,589Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 file... INFO 2019-11-05 02:12:36,590Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911050038_201911050044.nc4 INFO 2019-11-05 02:12:37,865Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:12:37,886Z 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 02:12:37,895Z 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 02:12:37,904Z 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 02:12:37,947Z 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 02:12:37,959Z 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 02:12:37,968Z 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 02:12:38,010Z 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 02:12:38,019Z 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 02:12:38,028Z 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 02:12:38,068Z 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 02:12:38,076Z 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 02:12:38,085Z 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 02:12:38,126Z 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 02:12:38,134Z 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 02:12:38,143Z 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 02:12:38,182Z 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 02:12:38,191Z 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 02:12:38,200Z 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 02:12:38,239Z 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 02:12:38,248Z 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 02:12:38,256Z 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 02:12:38,296Z 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 02:12:38,305Z 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 02:12:38,313Z 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 02:12:38,354Z 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 02:12:38,362Z 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 02:12:38,371Z 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 02:12:38,411Z 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 02:12:38,419Z 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 02:12:38,428Z 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 02:12:38,467Z 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 02:12:38,476Z 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 02:12:38,484Z 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 02:12:38,524Z 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 02:12:38,532Z 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 02:12:38,541Z 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 02:12:38,581Z 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 02:12:38,589Z 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 02:12:38,598Z 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 02:12:38,638Z 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 02:12:38,646Z 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 02:12:38,655Z 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 02:12:38,695Z 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 02:12:38,703Z 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 02:12:38,712Z 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 02:12:38,752Z 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 02:12:38,761Z 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 02:12:38,769Z 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 02:12:38,794Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes WARNING 2019-11-05 02:12:38,798Z 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 02:12:38,801Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_salinity empty so skipping INFO 2019-11-05 02:12:38,803Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable sea_water_temperature empty so skipping WARNING 2019-11-05 02:12:38,803Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_salinity' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:12:38,804Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'sea_water_temperature' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:12:38,804Z 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 02:12:38,806Z 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 02:12:38,807Z 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 02:12:38,808Z 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 02:12:38,823Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR WARNING 2019-11-05 02:12:38,823Z 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 02:12:38,823Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output470' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:12:38,824Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'Output650' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:12:38,826Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable concentration_of_chromophoric_dissolved_organic_matter_in_sea_water empty so skipping INFO 2019-11-05 02:12:38,829Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_chlorophyll_in_sea_water empty so skipping INFO 2019-11-05 02:12:38,832Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable BackscatteringCoeff700nm empty so skipping INFO 2019-11-05 02:12:38,834Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable VolumeScatCoeff117deg700nm empty so skipping INFO 2019-11-05 02:12:38,837Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable mass_concentration_of_petroleum_hydrocarbons_in_sea_water empty so skipping INFO 2019-11-05 02:12:38,838Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 DEBUG 2019-11-05 02:12:38,890Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:12:38,941Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:12:38,980Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:12:39,018Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:12:39,019Z 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 02:12:39,020Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 317 2.13 - - - INFO 2019-11-05 02:12:39,022Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 547 3.68 - - INFO 2019-11-05 02:12:39,022Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 547 DEBUG 2019-11-05 02:12:39,023Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:12:39,039Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T233836/20191105T014424/data.csv INFO 2019-11-05 02:12:39,055Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:12:39,058Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['PAR', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2019-11-05 02:12:39,061Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_10S_sci.nc DEBUG 2019-11-05 02:12:39,066Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:12:39,077Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable PAR DEBUG 2019-11-05 02:12:39,080Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:12:39,082Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:12:39,085Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:12:39,087Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:12:39,211Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_10S_sci.nc