@InProceedings{WardJVDOBKOASCRY:2018:ReSeCa,
author = "Ward, Nicholas D. and Joshi, Ishan and Val{\'e}rio, Aline de
Matos and D'Sa, Eurico J. and Osburn, Chris L. and Bianchi, Thomas
S. and Ko, Dong and Oveido Vargas, Diana and Arellano, Ana and
Sawakuchi, Henrique O. and Cunha, Alan C. and Richey, Jeffrey E.
and Yager, Patricia L.",
affiliation = "{Pacific Northwest National Laboratory} and {Louisiana State
University} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Louisiana State University} and {North Carolina State
University Raleigh} and {University of Florida} and {US Naval
Research Laboratory} and {Stroud Center} and {University of
Florida} and {CENA Center for Nuclear Energy in Agriculture} and
{Universidade Federal do Amap{\'a}} and {University of
Washington} and {University of Georgia}",
title = "Remote sensing of carbon dioxide fluxes in coastal ecosystems
across scales",
year = "2018",
organization = "Ocean Sciences Meeting",
abstract = "Global carbon balances lack a comprehensive inventory of the flux
of CO2 between coastal waters and the atmosphere that accounts for
the diverse range of spatial and mechanistic heterogeneity of
earth systems, not to mention the entire surface area of the
earth. Here, we evaluate two satellite remote sensing based
approaches to resolve coastal CO2 fluxes in two types/sizes of
coastal systems. Apalachicola Bay, Florida (AB) was used to
evaluate fine scale dynamics in a semi-enclosed bay with
blackwater river inputs. The Amazon River plume (ARP) was used to
evaluate much larger spatial scales in a river-dominated shelf
setting. In AB, we used chlorophyll and temperature products from
VIIRS imagery, validated with in situ measurements, along with a
previously established CDOM algorithm for the bay to map salinity.
These 3 parameters were used to obtain multi-variable linear
regression relationships for estimating pH, and pCO2 was estimated
based on the in situ pH:pCO2 relationship. CO2 fluxes were highest
in winter and summer corresponding to high river flow and warm
water temperature and lower fluxes in spring and fall likely due
to CO2 fixation via photosynthesis and low water temperatures with
reduced river flow, respectively. The annual average flux for
Apalachicola Bay from 2015-2016 was 3.52 mol m-2 y-1, or 0.034 Tg
C y-1 for the entire bay. In the ARP we modeled pCO2 from
2010-2014 based on sea surface salinity and temperature retrieved
from SMOS and OISST, respectively. The ARP was a net sink of CO2
during falling and low water periods, but a net source during
rising and high water, resulting in an annual average flux of 1.10
mol m-2 y-1 to the atmosphere, or 5.6 ± 7.2 Tg C y-1 across the
extent of the ARP. These findings contradict the current paradigm
that the ARP is a net sink of CO2, and are driven by observations
of CO2-rich waters near the coast during rising and high water.
Both approaches identified unique seasonal patterns driving net
positive estuarine fluxes of CO2 to the atmosphere. The approach
used in the Amazon still has spatial gaps considering it only
covered waters between 20-35 psu salinity and further than 100 km
offshore. The observations of dynamic intra- and inter-annual
patterns illustrate the importance of developing more accurate and
high-resolution approaches for examining carbon cycling parameters
remotely.",
conference-location = "Portland, Oregon, USA",
conference-year = "11-16 Feb.",
language = "en",
urlaccessdate = "27 abr. 2024"
}