An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series
<p>Regularized time series of ocean carbon data are necessary for assessing seasonal dynamics, annual budgets, and interannual and climatic variability. There are, however, no standardized methods for filling data gaps and limited evaluation of the impacts on uncertainty in the reconstructed t...
Main Authors: | J. M. Vance, K. Currie, J. Zeldis, P. W. Dillingham, C. S. Law |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-01-01
|
Series: | Biogeosciences |
Online Access: | https://bg.copernicus.org/articles/19/241/2022/bg-19-241-2022.pdf |
Similar Items
-
Characterization of Enzymatic Activity of MlrB and MlrC Proteins Involved in Bacterial Degradation of Cyanotoxins Microcystins
by: Dariusz Dziga, et al.
Published: (2016-03-01) -
Gap-filling of ocean color over the tropical Indian Ocean using Monte-Carlo method
by: Aditi Modi, et al.
Published: (2022-11-01) -
Utilizing mlr technique in mspm system
by: Wan Hairani, Wan Na’aman
Published: (2014) -
A Comparison between MLR, MARS, SVR and RF Techniques: Hydrological Time-series Modeling
by: Pankaj Kumar, et al.
Published: (2022-03-01) -
Filling the Gaps
by: Fernando Sobron
Published: (2020-04-01)