INFO 2020-05-30 17:03:58,929Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 file... INFO 2020-05-30 17:03:58,930Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309051834_201309051858.nc4 INFO 2020-05-30 17:03:59,779Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 INFO 2020-05-30 17:03:59,789Z 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 17:03:59,793Z 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 17:03:59,797Z 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 17:03:59,833Z 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 17:03:59,837Z 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 17:03:59,841Z 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 17:03:59,877Z 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 17:03:59,881Z 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 17:03:59,885Z 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 17:03:59,921Z 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 17:03:59,925Z 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 17:03:59,929Z 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 17:03:59,966Z 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 17:03:59,970Z 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 17:03:59,974Z 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 17:04:00,009Z 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 17:04:00,013Z 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 17:04:00,017Z 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 17:04:00,052Z 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 17:04:00,056Z 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 17:04:00,060Z 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 17:04:00,096Z 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 17:04:00,100Z 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 17:04:00,104Z 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 17:04:00,141Z 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 17:04:00,145Z 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 17:04:00,149Z 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 17:04:00,184Z 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 17:04:00,188Z 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 17:04:00,192Z 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 17:04:00,227Z 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 17:04:00,231Z 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 17:04:00,235Z 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 17:04:00,271Z 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 17:04:00,275Z 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 17:04:00,279Z 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 17:04:00,316Z 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 17:04:00,319Z 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 17:04:00,324Z 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 17:04:00,359Z 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 17:04:00,363Z 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 17:04:00,367Z 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 17:04:00,402Z 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 17:04:00,406Z 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 17:04:00,410Z 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 17:04:00,446Z 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 17:04:00,450Z 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 17:04:00,455Z 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 17:04:00,485Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 17:04:00,490Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: 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 17:04:00,491Z 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 17:04:00,492Z 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 downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 17:04:00,519Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 17:04:00,521Z lrauvNc4ToNetcdf.py processResampleNc4File():1048 Variable sea_water_salinity empty so skipping INFO 2020-05-30 17:04:00,524Z lrauvNc4ToNetcdf.py processResampleNc4File():1048 Variable sea_water_temperature empty so skipping INFO 2020-05-30 17:04:00,529Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 17:04:00,534Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 17:04:00,540Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 17:04:00,545Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 17:04:00,550Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 17:04:00,551Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858.nc4 DEBUG 2020-05-30 17:04:00,591Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 17:04:00,630Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 17:04:00,649Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 17:04:00,667Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 17:04:00,668Z 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 17:04:00,669Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 0 0.00 - - - INFO 2020-05-30 17:04:00,671Z 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 17:04:00,676Z 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 17:04:00,681Z 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 17:04:00,686Z 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 17:04:00,690Z lrauvNc4ToNetcdf.py nudge_coords():710 5: - - - 314 2.36 - - INFO 2020-05-30 17:04:00,690Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 1823 DEBUG 2020-05-30 17:04:00,691Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 17:04:00,698Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130905T173428/20130905T195757/data.csv INFO 2020-05-30 17:04:00,727Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 17:04:00,730Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'chlorophyll', 'bbp470', 'bbp650', 'oxygen', 'nitrate', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 17:04:00,731Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858_10S_sci.nc DEBUG 2020-05-30 17:04:00,794Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 17:04:00,804Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 17:04:00,808Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 17:04:00,811Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 17:04:00,815Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 17:04:00,819Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 17:04:00,822Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 17:04:00,826Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 17:04:00,829Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 17:04:00,837Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 17:04:00,843Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 17:04:00,968Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130905_20130905/20130905T183418/201309051834_201309051858_10S_sci.nc