Last updated: 2020-09-08

Checks: 7 0

Knit directory: Cant_eMLR/

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    Ignored:    data/Gruber_2019/
    Ignored:    data/WOCE/
    Ignored:    data/World_Ocean_Atlas_2013_Clement/
    Ignored:    data/World_Ocean_Atlas_2018/
    Ignored:    data/eMLR/
    Ignored:    data/mapping/
    Ignored:    data/pCO2_atmosphere/
    Ignored:    dump/

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    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-01-27_n_743_cruise_459_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-02-05_n_429_cruise_303_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-02-14_n_1959_cruise_297_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-04-27_n_1093_cruise_248_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-05-05_n_2283_cruise_270_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-05-07_n_231_cruise_428_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-08-31_n_86_cruise_429_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-10-11_n_765_cruise_102_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1994-12-28_n_1422_cruise_249_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-01-10_n_58_cruise_441_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-01-18_n_709_cruise_67_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-01-29_n_654_cruise_361_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-02-13_n_1804_cruise_250_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-03-12_n_211_cruise_362_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-03-29_n_1450_cruise_251_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-05-13_n_1431_cruise_252_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-06-26_n_1064_cruise_253_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-08-01_n_1569_cruise_254_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-09-02_n_341_cruise_431_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-09-21_n_1384_cruise_255_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-10-10_n_1383_cruise_339_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-11-18_n_684_cruise_256_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1995-12-26_n_1338_cruise_257_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1996-02-12_n_1867_cruise_280_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1996-03-07_n_1097_cruise_374_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1996-06-05_n_733_cruise_288_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1996-09-09_n_549_cruise_68_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1996-11-17_n_738_cruise_258_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-04-26_n_20_cruise_648_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-05-26_n_1028_cruise_160_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-05-27_n_307_cruise_42_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-06-14_n_1454_cruise_259_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-07-30_n_1096_cruise_260_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-08-25_n_770_cruise_261_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1997-11-22_n_209_cruise_464_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-02-11_n_635_cruise_341_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-03-14_n_196_cruise_69_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-06-07_n_44_cruise_448_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-06-28_n_38_cruise_449_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-10-09_n_33_cruise_409_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1998-11-24_n_250_cruise_465_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1999-05-17_n_90_cruise_467_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1999-05-31_n_324_cruise_461_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1999-09-05_n_87_cruise_468_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_1999-10-14_n_33_cruise_410_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2000-01-20_n_179_cruise_472_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2000-05-22_n_431_cruise_24_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2000-10-14_n_26_cruise_411_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2000-10-16_n_375_cruise_437_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2000-10-26_n_603_cruise_82_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-06-15_n_1120_cruise_83_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-06-23_n_361_cruise_476_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-08-14_n_814_cruise_477_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-09-04_n_31_cruise_478_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-09-12_n_390_cruise_438_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2001-11-17_n_898_cruise_70_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2002-04-01_n_46_cruise_682_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2002-05-29_n_26_cruise_706_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2002-06-27_n_146_cruise_263_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-03-14_n_647_cruise_484_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-08-10_n_1036_cruise_56_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-09-07_n_2595_cruise_486_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-10-06_n_1050_cruise_264_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-10-10_n_102_cruise_633_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-11-03_n_975_cruise_265_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2003-11-19_n_1218_cruise_487_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-01-02_n_1630_cruise_488_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-04-06_n_61_cruise_489_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-04-23_n_801_cruise_695_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-05-22_n_200_cruise_167_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-05-26_n_9_cruise_463_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-07-20_n_3224_cruise_272_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-08-18_n_876_cruise_490_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-10-22_n_81_cruise_492_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2004-11-27_n_926_cruise_493_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-01-10_n_682_cruise_72_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-01-25_n_2237_cruise_350_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-03-08_n_66_cruise_494_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-05-25_n_889_cruise_683_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-05-30_n_240_cruise_168_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-06-11_n_1490_cruise_495_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-09-14_n_1833_cruise_266_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-09-21_n_499_cruise_666_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-09-30_n_175_cruise_496_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2005-12-09_n_2541_cruise_497_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2006-03-09_n_1553_cruise_306_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2006-06-16_n_1_cruise_602_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2006-06-22_n_844_cruise_498_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-02-28_n_1668_cruise_352_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-03-09_n_1006_cruise_501_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-04-11_n_1914_cruise_353_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-05-31_n_600_cruise_327_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-08-14_n_1167_cruise_502_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-09-16_n_477_cruise_667_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-09-18_n_299_cruise_503_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-10-30_n_1748_cruise_504_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2007-12-07_n_1627_cruise_505_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-01-09_n_543_cruise_74_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-01-17_n_2443_cruise_345_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-02-20_n_1284_cruise_354_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-03-02_n_957_cruise_385_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-03-14_n_846_cruise_19_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-04-06_n_820_cruise_75_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-05-28_n_411_cruise_171_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2008-10-21_n_311_cruise_506_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-01-07_n_343_cruise_674_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-02-16_n_652_cruise_675_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-02-27_n_1162_cruise_84_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-03-29_n_1062_cruise_676_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-04-17_n_3549_cruise_355_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-05-18_n_2644_cruise_507_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-05-23_n_312_cruise_172_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-07-13_n_143_cruise_635_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-08-02_n_120_cruise_26_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-11-10_n_316_cruise_63_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2009-12-27_n_2668_cruise_273_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-01-25_n_928_cruise_699_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-03-30_n_2265_cruise_346_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-04-03_n_367_cruise_703_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-05-26_n_161_cruise_1085_.png
    Modified:   output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-06-26_n_157_cruise_1063_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-07-26_n_1203_cruise_609_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-08-19_n_80_cruise_1064_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-10-17_n_136_cruise_2028_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-11-15_n_83_cruise_2029_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2010-12-22_n_1296_cruise_20_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-01-17_n_107_cruise_1065_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-01-30_n_269_cruise_1087_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-02-18_n_116_cruise_1066_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-03-21_n_1930_cruise_295_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-05-18_n_510_cruise_174_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-06-25_n_249_cruise_1067_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-07-07_n_2107_cruise_517_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-10-09_n_617_cruise_347_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2011-10-26_n_204_cruise_2031_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-02-06_n_144_cruise_1090_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-02-06_n_586_cruise_1002_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-02-19_n_235_cruise_1069_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-04-04_n_1059_cruise_329_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-04-15_n_99_cruise_2033_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-05-01_n_1379_cruise_330_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-06-07_n_141_cruise_1029_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-06-26_n_386_cruise_1092_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-07-20_n_784_cruise_1071_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-08-15_n_1114_cruise_518_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-11-12_n_161_cruise_1073_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-12-05_n_200_cruise_2071_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-12-12_n_113_cruise_1074_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2012-12-15_n_775_cruise_1050_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2013-01-23_n_823_cruise_1051_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2013-01-29_n_350_cruise_1093_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2013-02-19_n_217_cruise_1076_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2013-03-14_n_208_cruise_2072_.png
    Deleted:    output/figure/eMLR/data_preparation/all_cruises_clean/GLODAP_cruise_date_2013-05-03_n_2792_cruise_1035_.png
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library(tidyverse)
library(scales)
library(metR)

1 Data sources

Cant estimates from this study:

  • Raw results by each of 10 MLR models per density slab
  • Mean and SD per grid cell (lat, lon, depth)
  • Zonal mean and SD (basin, lat, depth)
  • Inventories (lat, lon)
Cant_average <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cant_average.csv"))

Cant_average_zonal <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cant_average_zonal.csv"))

Cant_predictor_average_zonal <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cant_predictor_average_zonal.csv"))

Cant_inv <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cant_inv.csv"))
Cstar_average <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cstar_average.csv"))

Cstar_average_zonal <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cstar_average_zonal.csv"))

All following analysis are restricted to the inventory depth of 3000m.

Cstar_average <- Cstar_average %>%
  filter(depth <= parameters$inventory_depth)

Cstar_average_zonal <- Cstar_average_zonal %>%
  filter(depth <= parameters$inventory_depth)

Cant_average <- Cant_average %>%
  filter(depth <= parameters$inventory_depth)

Cant_average_zonal <- Cant_average_zonal %>%
  filter(depth <= parameters$inventory_depth)

Cant_predictor_average_zonal <- Cant_predictor_average_zonal %>%
  filter(depth <= parameters$inventory_depth)

2 Neutral density

2.1 Slab depth

gamma_maps <- Cant_average %>% 
  group_by(lat, lon, gamma_slab) %>% 
  summarise(depth = mean(depth, na.rm = TRUE)) %>% 
  ungroup()

gamma_maps %>%
  ggplot(aes(lon, lat, fill = depth)) +
  geom_raster(data = landmask,
              aes(lon, lat),
              fill = "grey80") +
  geom_raster() +
  facet_wrap( ~ gamma_slab, ncol = 3) +
  coord_quickmap(expand = 0) +
  scico::scale_fill_scico(palette = "batlow",
                          direction = -1)

2.2 Zonal mean sections

The mean zonal distribution of neutral densities was calculated. CAVEAT: Due to practical reasons, binning here does not include the two highest isoneutral density slabs in the Atlantic, yet.

2.2.1 Mean

slab_breaks <- c(parameters$slabs_Atl[1:12],Inf)

Cant_average_zonal %>% 
  filter(eras == "JGOFS_GO") %>% 
  ggplot(aes(lat, depth, z = gamma_mean_mean)) +
  geom_contour_filled(breaks = slab_breaks) +
  geom_contour(breaks = slab_breaks,
               col = "white") +
  geom_text_contour(breaks = slab_breaks,
               col = "white",
               skip = 1) +
  scale_fill_viridis_d(name = "Gamma",
                       direction = -1) +
  scale_y_reverse() +
  coord_cartesian(expand = 0) +
  guides(fill = guide_colorsteps(barheight = unit(10, "cm"))) +
  facet_grid(basin_AIP~.)

2.2.2 SD

Cant_average_zonal %>% 
  filter(eras == "JGOFS_GO") %>% 
  ggplot(aes(lat, depth, z = gamma_mean_sd)) +
  geom_contour_filled() +
  scale_fill_viridis_d(name = "Gamma SD",
                       direction = -1) +
  scale_y_reverse() +
  coord_cartesian(expand = 0) +
  guides(fill = guide_colorsteps(barheight = unit(10, "cm"))) +
  facet_grid(basin_AIP~.)

2.2.3 Surface map

map_climatology(Cant_average, "gamma_mean")

3 Cant

3.0.1 Mean

section_zonal_average_divergent(Cant_average_zonal,
                                "Cant_mean_mean",
                                "gamma_mean_mean")

3.0.2 Mean positive values

section_zonal_average_continous(Cant_average_zonal,
                                "Cant_pos_mean_mean",
                                "gamma_mean_mean")

3.0.3 Mean standard deviation across MLR models

Standard deviation across Cant from all MLR models was calculate for each grid cell (XYZ). The zonal mean of this standard deviation should reflect the uncertainty associated to the predictor selection within each slab and era.

section_zonal_average_continous(Cant_average_zonal,
                                "Cant_sd_mean",
                                "gamma_mean_mean")

3.0.4 Standard deviation across basin

Standard deviation of mean Cant values was calculate across all longitudes. This standard deviation should reflect the zonal variability of Cant within the basin and era.

section_zonal_average_continous(Cant_average_zonal,
                                "Cant_mean_sd",
                                "gamma_mean_mean")

3.0.5 Predictor contribution

for (variable in c(
  "Cant_intercept_mean",
  "Cant_aou_mean",
  "Cant_oxygen_mean",
  "Cant_phosphate_mean",
  "Cant_phosphate_star_mean",
  "Cant_silicate_mean",
  "Cant_tem_mean",
  "Cant_sal_mean")) {

print(
section_zonal_average_continous(Cant_predictor_average_zonal,
                                variable,
                                "gamma_mean_mean")
)
    
}

4 Sections at longitudes

4.1 JGOFS_GO

section_climatology(Cant_average %>% filter(eras == "JGOFS_GO"),
                    "Cant_mean")

4.2 GO_new

section_climatology(Cant_average %>% filter(eras == "GO_new"),
                    "Cant_mean")

4.3 By model

Zonal sections plots are produced for every 20° longitude, each era and for all models individually and can be downloaded here.

Cant <-
  read_csv(here::here("data/mapping/_summarized_files",
                         "Cant.csv"))

Cant <- Cant %>%
  filter(depth <= parameters$inventory_depth)

library(scales)

for (i_eras in unique(Cant$eras)) {
  # i_eras <- unique(Cant$eras)[2]
  Cant_eras <- Cant %>%
    filter(eras == i_eras)
  
  for (i_lon in seq(20.5, 360, 20)) {
    # i_lon <- seq(20.5, 360, 20)[7]
    Cant_eras_lon <- Cant_eras %>%
      filter(lon == i_lon)
    
    Cant_eras_lon %>%
      ggplot(aes(lat, depth, col = Cant)) +
      geom_point() +
      scale_color_gradient2(
        name = "Cant",
        high = muted("red"),
        mid = "grey",
        low = muted("blue")
      ) +
      scale_y_reverse(limits = c(parameters$inventory_depth, NA)) +
      scale_x_continuous(limits = c(-75, 65)) +
      coord_cartesian(expand = 0) +
      guides(fill = guide_colorsteps(barheight = unit(10, "cm"))) +
      labs(title = paste("eras:", i_eras, "| lon:", i_lon)) +
      facet_wrap( ~ model, ncol = 5)
    
    ggsave(
      here::here(
        "output/figure/mapping",
        paste(i_eras,
              "lon",
              i_lon,
              "model_Cant.png",
              sep = "_")
      ),
      width = 17,
      height = 9
    )
    
  }
}

5 Maps of Cant

5.1 Depth layers

Cant concentration for selected depth levels at which mapping was performed.

Cant_average %>%
  filter(depth %in% parameters$depth_levels) %>% 
  ggplot(aes(lon, lat, fill = Cant_mean)) + 
  geom_raster() +
  scale_fill_divergent(guide = "colorstrip",
                       breaks = MakeBreaks(5),
                       name = "Cant") +
  guides(fill = guide_colorsteps(barheight = unit(10, "cm"))) +
  coord_quickmap(expand = 0) +
  facet_grid(depth~eras)

5.2 Inventories

5.2.1 All Cant

Cant_inv %>% 
  ggplot() +
    geom_raster(data = landmask,
                aes(lon, lat), fill = "grey80") +
    geom_raster(aes(lon, lat, fill = cant_inv)) +
    coord_quickmap(expand = 0) +
    scale_fill_gradient2(high = muted("red"),
                         mid = "white",
                         low = muted("blue"),
                         midpoint = 0,
                         space = "Lab",
                         na.value = "green") +
  facet_wrap(~eras, ncol = 1) +
    theme(
      axis.title = element_blank()
    )

5.2.2 Positive Cant

Cant_inv %>% 
  ggplot() +
    geom_raster(data = landmask,
                aes(lon, lat), fill = "grey80") +
    geom_raster(aes(lon, lat, fill = cant_inv_pos)) +
    coord_quickmap(expand = 0) +
    scale_fill_viridis_c() +
  facet_wrap(~eras, ncol = 1) +
    theme(
      axis.title = element_blank()
    )

6 Cant vs model SD

Cant_average %>% 
  ggplot(aes(Cant_mean, Cant_sd)) +
  geom_vline(xintercept = 0) +
  geom_hline(yintercept = 10) +
  geom_bin2d() +
  scale_fill_viridis_c(option = "magma",
                       direction = -1,
                       trans = "log10",
                       name = "log10(n)") +
  facet_grid(basin_AIP ~ eras)

Cant_average %>% 
  ggplot(aes(Cant_mean, Cant_sd)) +
  geom_vline(xintercept = 0) +
  geom_hline(yintercept = 10) +
  geom_bin2d() +
  scale_fill_viridis_c(option = "magma",
                       direction = -1,
                       trans = "log10",
                       name = "log10(n)") +
  facet_grid(gamma_slab ~ basin_AIP)

7 Cant vs regional SD

Cant_average_zonal %>% 
  ggplot(aes(Cant_mean_mean, Cant_mean_sd)) +
  geom_vline(xintercept = 0) +
  geom_hline(yintercept = 10) +
  geom_bin2d() +
  scale_fill_viridis_c(option = "magma",
                       direction = -1,
                       trans = "log10",
                       name = "log10(n)") +
  facet_grid(basin_AIP ~ eras)

Cant_average_zonal %>% 
  ggplot(aes(Cant_mean_mean, Cant_mean_sd)) +
  geom_vline(xintercept = 0) +
  geom_hline(yintercept = 10) +
  geom_bin2d() +
  scale_fill_viridis_c(option = "magma",
                       direction = -1,
                       trans = "log10",
                       name = "log10(n)") +
  facet_grid(gamma_slab ~ basin_AIP)

8 Cstar

slab_breaks <- c(parameters$slabs_Atl[1:12],Inf)

Cstar_average_zonal <- Cstar_average_zonal %>% 
    mutate(era = factor(era, c("JGOFS_WOCE", "GO_SHIP", "new_era"))) 

Cstar_average_zonal %>% 
    ggplot(aes(lat, depth, z = Cstar_mean_mean)) +
    geom_contour_filled(bins = 11) +
    scale_fill_viridis_d(name = "Cstar") +
    geom_contour(aes(lat, depth, z = gamma_mean_mean),
                 breaks = slab_breaks,
                 col = "white") +
    geom_text_contour(
      aes(lat, depth, z = gamma_mean_mean),
      breaks = slab_breaks,
      col = "white",
      skip = 1
    ) +
    scale_y_reverse() +
    coord_cartesian(expand = 0) +
    guides(fill = guide_colorsteps(barheight = unit(10, "cm"))) +
    facet_grid(basin_AIP ~ era)


sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=English_Germany.1252  LC_CTYPE=English_Germany.1252   
[3] LC_MONETARY=English_Germany.1252 LC_NUMERIC=C                    
[5] LC_TIME=English_Germany.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] metR_0.7.0      scales_1.1.1    forcats_0.5.0   stringr_1.4.0  
 [5] dplyr_1.0.0     purrr_0.3.4     readr_1.3.1     tidyr_1.1.0    
 [9] tibble_3.0.3    ggplot2_3.3.2   tidyverse_1.3.0 workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.5        lattice_0.20-41   lubridate_1.7.9   here_0.1         
 [5] assertthat_0.2.1  rprojroot_1.3-2   digest_0.6.25     plyr_1.8.6       
 [9] R6_2.4.1          cellranger_1.1.0  backports_1.1.8   reprex_0.3.0     
[13] evaluate_0.14     httr_1.4.2        pillar_1.4.6      rlang_0.4.7      
[17] readxl_1.3.1      rstudioapi_0.11   data.table_1.13.0 whisker_0.4      
[21] blob_1.2.1        checkmate_2.0.0   rmarkdown_2.3     labeling_0.3     
[25] munsell_0.5.0     broom_0.7.0       compiler_4.0.2    httpuv_1.5.4     
[29] modelr_0.1.8      xfun_0.16         pkgconfig_2.0.3   scico_1.2.0      
[33] htmltools_0.5.0   tidyselect_1.1.0  viridisLite_0.3.0 fansi_0.4.1      
[37] crayon_1.3.4      dbplyr_1.4.4      withr_2.2.0       later_1.1.0.1    
[41] grid_4.0.2        jsonlite_1.7.0    gtable_0.3.0      lifecycle_0.2.0  
[45] DBI_1.1.0         git2r_0.27.1      magrittr_1.5      cli_2.0.2        
[49] stringi_1.4.6     farver_2.0.3      fs_1.4.2          promises_1.1.1   
[53] sp_1.4-2          xml2_1.3.2        ellipsis_0.3.1    generics_0.0.2   
[57] vctrs_0.3.2       tools_4.0.2       glue_1.4.1        hms_0.5.3        
[61] yaml_2.2.1        colorspace_1.4-1  isoband_0.2.2     rvest_0.3.6      
[65] memoise_1.1.0     knitr_1.29        haven_2.3.1