Research graph
References from Mapping Dissolved Oxygen Concentrations by Combining Shipboard and Argo Observations Using Machine Learning Algorithms. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1175/1520‐0450(1964)003<0396:atfmdi>2.0.co;2
10.1175/1520‐0450(1964)003<0396:atfmdi>2.0.co;2 · External reference
10.4319/lo.1984.29.3.0620
10.4319/lo.1984.29.3.0620 · External reference
Unresolved reference
2019 · External reference
10.4319/lom.2014.12.617
10.4319/lom.2014.12.617 · External reference
10.5194/os‐13‐1‐2017
10.5194/os‐13‐1‐2017 · External reference
10.3389/fmars.2017.00429
10.3389/fmars.2017.00429 · External reference
10.3389/fmars.2019.00502
10.3389/fmars.2019.00502 · External reference
Unresolved reference
2018 · External reference
10.5194/essd‐11‐1109‐2019
10.5194/essd‐11‐1109‐2019 · External reference
10.1017/9781108380690
10.1017/9781108380690 · External reference
10.1002/2015gb005251
10.1002/2015gb005251 · External reference
10.4319/lo.1965.10.1.0135
10.4319/lo.1965.10.1.0135 · External reference
10.1016/j.pocean.2020.102456
10.1016/j.pocean.2020.102456 · External reference
10.1016/j.rse.2019.04.019
10.1016/j.rse.2019.04.019 · External reference
Unresolved reference
External reference
10.1575/1912/243
10.1575/1912/243 · External reference
10.3389/fmars.2020.567445
10.3389/fmars.2020.567445 · External reference
10.4319/lo.1992.37.6.1307
10.4319/lo.1992.37.6.1307 · External reference
Unresolved reference
2018 · External reference
10.1029/2020gb006788
10.1029/2020gb006788 · External reference
10.1002/2013jc009067
10.1002/2013jc009067 · External reference
10.5194/gmd‐12‐5113‐2019
10.5194/gmd‐12‐5113‐2019 · External reference
10.1038/s41586‐021‐03981‐7
10.1038/s41586‐021‐03981‐7 · External reference
Unresolved reference
1995 · External reference
10.3389/fmars.2022.837183
10.3389/fmars.2022.837183 · External reference
10.5281/zenodo.11129715
10.5281/zenodo.11129715 · External reference
Underestimation of global O2 loss in optimally interpolated historical ocean observations
2023 · External reference
10.1002/2017gl073613
10.1002/2017gl073613 · External reference
10.1175/jtech‐d‐12‐00221.1
10.1175/jtech‐d‐12‐00221.1 · External reference
10.1175/jtech‐d‐15‐0101.1
10.1175/jtech‐d‐15‐0101.1 · External reference
10.1109/34.857004
10.1109/34.857004 · External reference
10.5194/bg‐10‐7793‐2013
10.5194/bg‐10‐7793‐2013 · External reference
10.1109/5.726791
10.1109/5.726791 · External reference
10.3389/fmars.2021.683207
10.3389/fmars.2021.683207 · External reference
10.1080/01431161.2015.1131872
10.1080/01431161.2015.1131872 · External reference
10.1038/s41561‐018‐0152‐2
10.1038/s41561‐018‐0152‐2 · External reference
Scikit‐learn: Machine learning in Python
2011 · External reference
10.1126/science.aac9819
10.1126/science.aac9819 · External reference
10.1002/widm.1301
10.1002/widm.1301 · External reference
10.1038/s41586‐019‐0912‐1
10.1038/s41586‐019‐0912‐1 · External reference
10.3389/fmars.2019.00439
10.3389/fmars.2019.00439 · External reference
10.1016/j.pocean.2023.103130
10.1016/j.pocean.2023.103130 · External reference
10.3389/fmars.2017.00128
10.3389/fmars.2017.00128 · External reference
10.1038/nature21399
10.1038/nature21399 · External reference
10.1175/bams‐d‐17‐0205.1
10.1175/bams‐d‐17‐0205.1 · External reference
10.5194/essd‐15‐4481‐2023
10.5194/essd‐15‐4481‐2023 · External reference
10.5194/essd‐14‐2081‐2022
10.5194/essd‐14‐2081‐2022 · External reference
10.1002/jgrc.20399
10.1002/jgrc.20399 · External reference
10.1017/cbo9780511629570
10.1017/cbo9780511629570 · External reference
10.1002/gdj3.26
10.1002/gdj3.26 · External reference
