@InProceedings{MilerBaTrGaDoDeMu:2019:EsEmAm,
author = "Miler, John B. and Basu, Sourish and Trudeau, Michael and Gatti,
Luciana Vanni and Domingues, Lucas Gatti and Deeter, Merritt N.
and Muller, Jean-Francois",
affiliation = "{NOAA/ESRL Global Monitoring Division} and {NOAA/ESRL Global
Monitoring Division} and {NOAA/ESRL Global Monitoring Division}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {National
Center for Atmospheric Research} and {Belgian Institute for Space
Aeronomy}",
title = "Estimating emissions of Amazonian biomass burning using in situ
and satellite measurements of atmospheric carbon monoxide",
year = "2019",
organization = "AGU Fall Meeting",
abstract = "Fire is a significant mechanism by which carbon leaves the forest
and savanna biomes of the Amazon Basin. Most often, these carbon
emissions are quantified using bottom-up inventory approaches that
are partly constrained by satellite detection of fire hot spots or
burned area, but also rely on highly uncertain parameters such as
fuel loading and combustion completeness. As a complement to
bottom-up emissions estimates, here we will present, independent,
top-down estimates of carbon emissions from fires based on
measurements of atmospheric carbon monoxide (CO). CO is emitted
from fires, which allows its use, within an atmospheric inverse
model, to determine total carbon emissions given knowledge of
emission ratios for different vegetation types. In order to
isolate the impact of Amazonian fires on atmospheric CO
concentrations, a global CO modeling framework has been developed
that describes all the sources and sinks of atmospheric CO. Most
importantly for the Amazonian atmosphere, we have included a
description of the production of CO resulting from oxidation of
non-methane volatile organic compounds (NMVOCs) constrained by
satellite observations of formaldehyde. We have conducted three
separate inversions spanning 2010-2017 using different types of
atmospheric CO data as constraints on fire emissions: a) in situ
CO data from the NOAA Global Greenhouse Gas Reference Network and
especially from INPE bi-weekly aircraft vertical profiles from the
surface to 4.5 km above sea level; b) satellite CO data from the
IASI instrument aboard the MetOp A satellite; and c) satellite CO
data from the MOPITT sensor flying aboard NASAs Terra. We will
also use the highly accurate (but sparse in time and space) INPE
in situ vertical profiles to assess the potentially biased (but
spatially and temporally dense) satellite CO data streams.
Preliminary comparisons of in situ CO data with those from MOPITT
show low bias, suggesting that the emissions derived from (at
least) the MOPITT-based inversions should be robust. For all of
our inversely-derived C emissions, we will consider the impact of
emissions ratio uncertainties, and with that perspective, we will
compare our top-down C emissions with those from inventories such
as GFED and GFAS.",
conference-location = "San Francisco, CA",
conference-year = "09-13 dec.",
language = "en",
targetfile = "miller_estimating.pdf",
urlaccessdate = "24 abr. 2024"
}