Articles | Volume 19, issue 1
https://doi.org/10.5194/bg-19-241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series
Department of Marine Science, University of Otago, Dunedin, 9016, New
Zealand
Kim Currie
National Institute of Water and Atmospheric Research – University of
Otago Research Centre for Oceanography, Dunedin, 9016, New Zealand
John Zeldis
National Institute of Water and Atmospheric Research, Christchurch,
8011, New Zealand
Peter W. Dillingham
Coastal People: Southern Skies Centre of Research Excellence,
Department of Mathematics and Statistics, University of Otago, Dunedin,
9016, New Zealand
Cliff S. Law
Department of Marine Science, University of Otago, Dunedin, 9016, New
Zealand
National Institute of Water and Atmospheric Research, Wellington,
6021, New Zealand
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Cited
11 citations as recorded by crossref.
- Relationship between the carbonate system and phytoplankton community in the Gulf of Guinea-Africa K. Koffi et al. 10.3389/fmars.2024.1286338
- Trend-Aware Data Imputation Based on Generative Adversarial Network for Time Series H. Li et al. 10.4018/IJITSA.325212
- Two new coastal time-series of seawater carbonate system variables in the NW Mediterranean Sea: rates and mechanisms controlling pH changes M. García-Ibáñez et al. 10.3389/fmars.2024.1348133
- Drivers of seasonal to decadal mixed layer carbon cycle variability in subantarctic water in the Munida Time Series J. Vance et al. 10.3389/fmars.2024.1309560
- An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series J. Vance et al. 10.5194/bg-19-241-2022
- Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation G. Impollonia et al. 10.1016/j.compag.2024.109603
- Predicting Carbonate Chemistry on the Northwest Atlantic Shelf Using Neural Networks I. Lima et al. 10.1029/2023JG007536
- A 37-year record of ocean acidification in the Southern California current W. Wolfe et al. 10.1038/s43247-023-01065-0
- Advancing best practices for assessing trends of ocean acidification time series A. Sutton et al. 10.3389/fmars.2022.1045667
- Synthesis Product for Ocean Time Series (SPOTS) – a ship-based biogeochemical pilot N. Lange et al. 10.5194/essd-16-1901-2024
- An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series J. Vance et al. 10.5194/bg-19-241-2022
10 citations as recorded by crossref.
- Relationship between the carbonate system and phytoplankton community in the Gulf of Guinea-Africa K. Koffi et al. 10.3389/fmars.2024.1286338
- Trend-Aware Data Imputation Based on Generative Adversarial Network for Time Series H. Li et al. 10.4018/IJITSA.325212
- Two new coastal time-series of seawater carbonate system variables in the NW Mediterranean Sea: rates and mechanisms controlling pH changes M. García-Ibáñez et al. 10.3389/fmars.2024.1348133
- Drivers of seasonal to decadal mixed layer carbon cycle variability in subantarctic water in the Munida Time Series J. Vance et al. 10.3389/fmars.2024.1309560
- An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series J. Vance et al. 10.5194/bg-19-241-2022
- Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation G. Impollonia et al. 10.1016/j.compag.2024.109603
- Predicting Carbonate Chemistry on the Northwest Atlantic Shelf Using Neural Networks I. Lima et al. 10.1029/2023JG007536
- A 37-year record of ocean acidification in the Southern California current W. Wolfe et al. 10.1038/s43247-023-01065-0
- Advancing best practices for assessing trends of ocean acidification time series A. Sutton et al. 10.3389/fmars.2022.1045667
- Synthesis Product for Ocean Time Series (SPOTS) – a ship-based biogeochemical pilot N. Lange et al. 10.5194/essd-16-1901-2024
Latest update: 05 Apr 2025
Short summary
Long-term monitoring is needed to detect changes in our environment. Time series of ocean carbon have aided our understanding of seasonal cycles and provided evidence for ocean acidification. Data gaps are inevitable, yet no standard method for filling gaps exists. We present a regression approach here and compare it to seven other common methods to understand the impact of different approaches when assessing seasonal to climatic variability in ocean carbon.
Long-term monitoring is needed to detect changes in our environment. Time series of ocean carbon...
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