INFO 2020-05-30 18:01:39,850Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 file... INFO 2020-05-30 18:01:39,850Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309051834_201309051858.nc4 INFO 2020-05-30 18:01:40,509Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 INFO 2020-05-30 18:01:40,521Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,525Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,529Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable latitude INFO 2020-05-30 18:01:40,567Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,571Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,575Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable longitude INFO 2020-05-30 18:01:40,611Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:40,615Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,620Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable depth INFO 2020-05-30 18:01:40,657Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934] INFO 2020-05-30 18:01:40,662Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,666Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable time INFO 2020-05-30 18:01:40,703Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,707Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,712Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable latitude INFO 2020-05-30 18:01:40,747Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,751Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,755Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable longitude INFO 2020-05-30 18:01:40,791Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:40,795Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,800Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable depth INFO 2020-05-30 18:01:40,837Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934] INFO 2020-05-30 18:01:40,841Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,845Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable time INFO 2020-05-30 18:01:40,883Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,887Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,891Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable latitude INFO 2020-05-30 18:01:40,927Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:40,931Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,936Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable longitude INFO 2020-05-30 18:01:40,972Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:40,976Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:40,980Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable depth INFO 2020-05-30 18:01:41,026Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934] INFO 2020-05-30 18:01:41,031Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,035Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable time INFO 2020-05-30 18:01:41,072Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:41,076Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,081Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable latitude INFO 2020-05-30 18:01:41,116Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822] INFO 2020-05-30 18:01:41,121Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,125Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable longitude INFO 2020-05-30 18:01:41,161Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:41,165Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,169Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable depth INFO 2020-05-30 18:01:41,206Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934] INFO 2020-05-30 18:01:41,210Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,214Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable time INFO 2020-05-30 18:01:41,246Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 18:01:41,255Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2020-05-30 18:01:41,261Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2020-05-30 18:01:41,267Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2020-05-30 18:01:41,278Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ElevatorServo parameter platform_elevator_angle renaming to control_inputs_elevator_angle INFO 2020-05-30 18:01:41,285Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group RudderServo parameter platform_rudder_angle renaming to control_inputs_rudder_angle INFO 2020-05-30 18:01:41,291Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ThrusterServo parameter platform_propeller_rotation_rate renaming to control_inputs_propeller_rotation_rate INFO 2020-05-30 18:01:41,299Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group MassServo parameter platform_mass_position renaming to control_inputs_mass_position INFO 2020-05-30 18:01:41,304Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group BuoyancyServo parameter platform_buoyancy_position renaming to control_inputs_buoyancy_position INFO 2020-05-30 18:01:41,309Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Onboard parameter platform_average_current renaming to health_platform_average_current INFO 2020-05-30 18:01:41,321Z lrauvNc4ToNetcdf.py createSeries():240 platform_pitch_angle: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:41,326Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,330Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable platform_pitch_angle DEBUG 2020-05-30 18:01:41,360Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for pitch DEBUG 2020-05-30 18:01:41,364Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for pitch INFO 2020-05-30 18:01:41,364Z lrauvNc4ToNetcdf.py createNav():504 platform_pitch_angle -> pitch: {'units': 'n/a', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 18:01:41,373Z lrauvNc4ToNetcdf.py createSeries():240 platform_roll_angle: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:41,377Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,382Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable platform_roll_angle DEBUG 2020-05-30 18:01:41,412Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for roll DEBUG 2020-05-30 18:01:41,415Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for roll INFO 2020-05-30 18:01:41,416Z lrauvNc4ToNetcdf.py createNav():504 platform_roll_angle -> roll: {'units': 'n/a', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 18:01:41,424Z lrauvNc4ToNetcdf.py createSeries():240 platform_orientation: v_t values found before 2013-09-05 18:34:00 and after 2013-09-05 18:58:00: [1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936] INFO 2020-05-30 18:01:41,428Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:00 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:01 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:02 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:03 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:04 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:05 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:06 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:07 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:08 2013', 'Thu Sep 5 18:58:09 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:11 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:12 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:13 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:14 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:15 2013', 'Thu Sep 5 18:58:16 2013', 'Thu Sep 5 18:58:16 2013'] INFO 2020-05-30 18:01:41,433Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840748e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840749e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09 1.37840750e+09] for variable platform_orientation DEBUG 2020-05-30 18:01:41,463Z lrauvNc4ToNetcdf.py createNav():492 calling ts.resample() for yaw DEBUG 2020-05-30 18:01:41,466Z lrauvNc4ToNetcdf.py createNav():494 calling self.interpolate() for yaw INFO 2020-05-30 18:01:41,467Z lrauvNc4ToNetcdf.py createNav():504 platform_orientation -> yaw: {'units': 'n/a', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2020-05-30 18:01:41,467Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 DEBUG 2020-05-30 18:01:41,509Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 18:01:41,549Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 18:01:41,569Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 18:01:41,588Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 18:01:41,588Z lrauvNc4ToNetcdf.py nudge_coords():642 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 2020-05-30 18:01:41,589Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 0 0.00 - - - INFO 2020-05-30 18:01:41,591Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.371 -0.0000213 -0.0000888 192 1.29 -7.92 -12.76 2013-09-05 18:36:49.388576031 INFO 2020-05-30 18:01:41,596Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.384 0.0000342 -0.0000480 149 1.11 -4.98 -8.02 2013-09-05 18:37:56.537503958 INFO 2020-05-30 18:01:41,601Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.362 0.0003878 -0.0007907 919 11.46 -7.92 -12.79 2013-09-05 18:49:24.456864119 INFO 2020-05-30 18:01:41,606Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.383 0.0006215 -0.0004190 249 6.48 -7.42 -11.99 2013-09-05 18:55:54.528383970 INFO 2020-05-30 18:01:41,611Z lrauvNc4ToNetcdf.py nudge_coords():710 5: - - - 314 2.36 - - INFO 2020-05-30 18:01:41,611Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 1823 DEBUG 2020-05-30 18:01:41,612Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 18:01:41,620Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130905T173428/20130905T195757/data.csv INFO 2020-05-30 18:01:41,652Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database WARNING 2020-05-30 18:01:41,654Z lrauvNc4ToNetcdf.py processResampleNc4File():1127 Interpolated 'time' variable has 8 repeated values at indices [24 25 26 27 28 29 30 31] INFO 2020-05-30 18:01:41,655Z lrauvNc4ToNetcdf.py processResampleNc4File():1128 Overwriting interpolated repeated values with time's index values INFO 2020-05-30 18:01:41,656Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['fix_time', 'fix_latitude', 'fix_longitude', 'control_inputs_elevator_angle', 'control_inputs_rudder_angle', 'control_inputs_propeller_rotation_rate', 'control_inputs_mass_position', 'control_inputs_buoyancy_position', 'health_platform_average_current', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 18:01:41,657Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858_2S_eng.nc DEBUG 2020-05-30 18:01:41,750Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable fix_time DEBUG 2020-05-30 18:01:41,765Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 18:01:41,769Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_latitude DEBUG 2020-05-30 18:01:41,772Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable fix_longitude DEBUG 2020-05-30 18:01:41,775Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_elevator_angle DEBUG 2020-05-30 18:01:41,778Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_rudder_angle DEBUG 2020-05-30 18:01:41,781Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_propeller_rotation_rate DEBUG 2020-05-30 18:01:41,785Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_mass_position DEBUG 2020-05-30 18:01:41,788Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable control_inputs_buoyancy_position DEBUG 2020-05-30 18:01:41,832Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable health_platform_average_current DEBUG 2020-05-30 18:01:41,835Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable pitch DEBUG 2020-05-30 18:01:41,839Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable roll DEBUG 2020-05-30 18:01:41,842Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable yaw DEBUG 2020-05-30 18:01:41,845Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 18:01:41,855Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 18:01:41,859Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 18:01:41,862Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 18:01:41,991Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858_2S_eng.nc