AbstractThe variability of a biogeochemical property in the ocean is the outcome of both non-conservative (such as respiration and photosynthesis) and conservative (mixing of water masses with distinct concentrations at origin) processes. One method to separate both contributions is based on a multiple regression of the biogeochemical property in terms of temperature (θ) and salinity (S), as conservative proxies of water masses. This regression delivers the variability related to the conservative fraction and, hence, allows identifying the residual as the biogeochemical anomaly. Here, the standard multiple linear regression (MLR) method, which assumes that water masses mix locally and linearly, is compared with a non-linear polynomial regression (PR) over the entire (θ, S) space. The PR method has two important advantages over MLR: allows simultaneous non-linear mixing of all water masses and does not require knowing the endmember water types. Both approaches are applied to data along 7.5°N in the equatorial Atlantic Ocean and the biogeochemical anomalies are calculated for humic-like fluorescent dissolved organic matter, apparent oxygen utilization and nitrate, all of them related through in situ remineralization processes. We assess the goodness of both approaches by analyzing the linear dependence and coefficient of correlation between the anomalies. The results show that the PR method can be applied over the entire water column and yet retains the local variability associated with non-conservative processes. The potential of the PR approach is also illustrated by calculating the oxygen-nitrate stoichiometric ratio for the entire 7.5°N transatlantic section.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Oct 5, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera