@Article{GouveiaGhWaPaCoAr:2019:SaStAm,
author = "Gouveia, Nelson de Almeida and Gherardi, Douglas Francisco
Marcolino and Wagner, Fabien Hubert and Paes, E. T. and Coles, V.
J. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal Rural da
Amazonia (UFRA)} and {University of Maryland Center for
Environmental Science} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "The salinity structure of the Amazon river plume drives
spatiotemporal variation of oceanic primary productivity",
journal = "Journal of Geophysical Research: Biogeosciences",
year = "2019",
volume = "124",
number = "1",
pages = "147--165",
month = "Jan.",
keywords = "primary productivity, salinity, Amazon river plume, remote
sensing.",
abstract = "The Amazon river is a major source of terrestrially derived
organic carbon to the tropical Atlantic Ocean. Field, satellite
and a vertically generalized production model data were used to
estimate empirical surface salinity and fit an inverse logit
function to investigate the limiting effect of salinity on the
productivity in the Amazon river plume. Satellite data included
Moderate Resolution Imaging Spectroradiometer, Soil Moisture and
Ocean Salinity, and Aquarius missions. Previous empirical surface
salinity models have relied on a very narrow range of salinity
values and satellite data to estimate the spatial extent of the
river plume. The empirical surface salinity model presented here
extended the range of salinity values and captures all the main
surface mesoscale features, particularly those related to the main
path of the low-salinity water. We also show that it is possible
to gain new insights on the spatiotemporal variability of the
Amazon river plume by improving the empirical surface salinity and
expanding its sampling period with the aid of remote sensing data.
The variability of primary productivity is dominated by the
subannual (6 month) and annual (12 month) frequency bands.
Low-salinity river water influences surface primary productivity
continuously during the year through mechanisms associated with
the western tropical Atlantic circulation and vertical mixing.",
doi = "10.1029/2018JG004665",
url = "http://dx.doi.org/10.1029/2018JG004665",
issn = "2169-8953",
language = "en",
targetfile = "gouveia_salinity.pdf",
urlaccessdate = "27 abr. 2024"
}