dc.contributor.author | Carter, B. R. | |
dc.contributor.author | Feely, R. A. | |
dc.contributor.author | Williams, N. L. | |
dc.contributor.author | Dickson, A. G. | |
dc.contributor.author | Fong, M. B. | |
dc.contributor.author | Takeshita, Y. | |
dc.date.accessioned | 2020-11-17T17:26:57Z | |
dc.date.available | 2020-11-17T17:26:57Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Carter, B. R.; Feely, R.A.; Williams, N.L.; Dickson, A.G.; Fong, M.B. and Takeshita, Y. (2018) Updated methods for global locally interpolated estimation of alkalinity, pH, and nitrate. Limnology and Oceanography: Methods, 16, pp.119-131. DOI: 10.1002/lom3.10232 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/1446 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-949 | |
dc.description.abstract | We have taken advantage of the release of version 2 of the Global Data Analysis Project data product
(Olsen et al. 2016) to refine the locally interpolated alkalinity regression (LIAR) code for global estimation of
total titration alkalinity of seawater (AT), and to extend the method to also produce estimates of nitrate (N)
and in situ pH (total scale). The updated MATLAB software and methods are distributed as Supporting Information
for this article and referred to as LIAR version 2 (LIARv2), locally interpolated nitrate regression
(LINR), and locally interpolated pH regression (LIPHR). Collectively they are referred to as locally interpolated
regressions (LIRs). Relative to LIARv1, LIARv2 has an 18% lower average AT estimate root mean squared
error (RMSE), improved uncertainty estimates, and fewer regions in which the method has little or no available
training data. LIARv2, LINR, and LIPHR produce estimates globally with skill that is comparable to or
better than regional alternatives used in their respective regions. LIPHR pH estimates have an optional adjustment
to account for ongoing ocean acidification. We have used the improved uncertainty estimates to
develop LIR functionality that selects the lowest-uncertainty estimate from among possible estimates. Current
and future versions of LIR software will be available on GitHub at https://github.com/BRCScienceProducts/
LIRs. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Nitrate | en_US |
dc.subject.other | pH analyzer | en_US |
dc.subject.other | Alkalinity | en_US |
dc.title | Updated methods for global locally interpolated estimation of alkalinity, pH, and nitrate. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.119–131 | en_US |
dc.identifier.doi | 10.1002/lom3.10232 | |
dc.subject.parameterDiscipline | Parameter Discipline::Chemical oceanography | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::pH sensors | en_US |
dc.bibliographicCitation.title | Limnology and Oceanography: Methods | en_US |
dc.bibliographicCitation.volume | 16 | en_US |
dc.description.sdg | 14 | en_US |
dc.description.maturitylevel | TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) | en_US |
dc.description.bptype | Best Practice | en_US |
dc.description.bptype | Manual (incl. handbook, guide, cookbook etc) | en_US |
obps.contact.contactname | Brendan Carter | |
obps.contact.contactemail | brendan.carter@noaa.gov | |
obps.resourceurl.publisher | https://aslopubs.onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10232 | en_US |