Geoscientific model development,
Journal Year:
2024,
Volume and Issue:
17(16), P. 6415 - 6435
Published: Aug. 30, 2024
Abstract.
Since
their
advent
over
2
decades
ago,
autonomous
Argo
floats
have
revolutionized
the
field
of
oceanography,
and,
more
recently,
addition
biogeochemical
and
biological
sensors
to
these
has
greatly
improved
our
understanding
carbon,
nutrient,
oxygen
cycling
in
ocean.
While
offer
unprecedented
horizontal,
vertical,
temporal
coverage
global
ocean,
uncertainties
remain
about
whether
sampling
frequency
density
capture
true
spatiotemporal
variability
physical,
biogeochemical,
properties.
As
distributions
of,
e.g.,
temperature
or
are
unknown,
difficult
address
with
alone.
Numerical
models
synthetic
observing
systems
one
potential
avenue
uncertainties.
Here,
we
implement
into
Energy
Exascale
Earth
System
Model
version
(E3SMv2),
which
build
on
Lagrangian
In
Situ
Global
High-Performance
Particle
Tracking
(LIGHT)
module
E3SMv2
(E3SMv2-LIGHT-bgcArgo-1.0).
sample
model
fields
at
run
time,
end
user
defines
protocol
ahead
any
simulation,
including
number
distribution
be
deployed,
frequency,
prognostic
diagnostic
sampled.
Using
a
6-year
proof-of-concept
illustrate
utility
different
case
studies.
particular,
quantify
impact
(i)
float-derived
detection
deep-ocean
change
estimates
phytoplankton
phenology,
(ii)
sea-ice
cover
float
trajectory
lengths
hence
current
velocities,
(iii)
short-term
ecosystem
stressors
seasonal
variability.
Global Biogeochemical Cycles,
Journal Year:
2023,
Volume and Issue:
37(10)
Published: Sept. 11, 2023
Abstract
This
contribution
to
the
RECCAP2
(REgional
Carbon
Cycle
Assessment
and
Processes)
assessment
analyzes
processes
that
determine
global
ocean
carbon
sink,
its
trends
variability
over
period
1985–2018,
using
a
combination
of
models
observation‐based
products.
The
mean
sea‐air
CO
2
flux
from
1985
2018
is
−1.6
±
0.2
PgC
yr
−1
based
on
an
ensemble
reconstructions
history
sea
surface
pCO
(pCO
products).
Models
indicate
dominant
component
this
net
oceanic
uptake
anthropogenic
,
which
estimated
at
−2.1
0.3
by
biogeochemical
models,
−2.4
0.1
two
circulation
inverse
models.
also
degasses
about
0.65
terrestrially
derived
but
process
not
fully
resolved
any
used
here.
From
2001
2018,
products
reconstruct
trend
in
sink
−0.61
0.12
decade
while
diagnose
‐driven
−0.34
0.06
−0.41
0.03
respectively.
implies
climate‐forced
acceleration
recent
decades,
there
are
still
large
uncertainties
magnitude
cause
trend.
interannual
decadal
mainly
driven
climate
variability,
with
climate‐driven
exceeding
‐forced
2–3
times.
These
results
suggest
dominates
potentially
highly
uncertain
consistently
captured
across
different
methods.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2024,
Volume and Issue:
16(3)
Published: March 1, 2024
Abstract
The
ocean
is
a
major
carbon
sink
and
takes
up
25%–30%
of
the
anthropogenically
emitted
CO
2
.
A
state‐of‐the‐art
method
to
quantify
this
are
global
biogeochemistry
models
(GOBMs),
but
their
simulated
uptake
differs
between
systematically
lower
than
estimates
based
on
statistical
methods
using
surface
p
interior
measurements.
Here,
we
provide
an
in‐depth
evaluation
from
1980
2018
GOBM
ensemble.
As
sources
inter‐model
differences
ensemble‐mean
biases
our
study
identifies
(a)
model
setup,
such
as
length
spin‐up,
starting
date
simulation,
fluxes
rivers
into
sediments,
(b)
circulation,
Atlantic
Meridional
Overturning
Circulation
Southern
Ocean
mode
intermediate
water
formation,
(c)
oceanic
buffer
capacity.
Our
analysis
suggests
that
late
in
circulation
cause
too
low
anthropogenic
across
Surface
might
also
be
low,
current
setup
prevents
robust
assessment.
For
simulations
sink,
recommend
short‐term
start
at
common
before
industrialization
associated
atmospheric
increase,
conduct
sufficiently
long
spin‐up
GOBMs
reach
steady‐state,
key
metrics
for
biogeochemistry,
land‐ocean
interface.
In
long‐term,
improving
representation
these
GOBMs.
Global Biogeochemical Cycles,
Journal Year:
2024,
Volume and Issue:
38(4)
Published: April 1, 2024
Abstract
As
part
of
the
second
phase
Regional
Carbon
Cycle
Assessment
and
Processes
project
(RECCAP2),
we
present
an
assessment
carbon
cycle
Atlantic
Ocean,
including
Mediterranean
Sea,
between
1985
2018
using
global
ocean
biogeochemical
models
(GOBMs)
estimates
based
on
surface
dioxide
(CO
2
)
partial
pressure
(pCO
products)
interior
dissolved
inorganic
observations.
Estimates
basin‐wide
long‐term
mean
net
annual
CO
uptake
GOBMs
pCO
products
are
in
reasonable
agreement
(−0.47
±
0.15
PgC
yr
−1
−0.36
0.06
,
respectively),
with
higher
GOBM‐based
likely
being
a
consequence
deficit
representation
natural
outgassing
land
derived
carbon.
In
GOBMs,
increases
time
at
rates
close
to
what
one
would
expect
from
atmospheric
increase,
but
estimate
rate
twice
as
fast.
The
largest
disagreement
flux
is
found
north
50°N,
coinciding
seasonal
interannual
variability.
accumulation
anthropogenic
(C
ant
over
1994–2007
Ocean
0.52
0.11
according
28%
20%
lower
than
that
Around
70%
this
C
taken
up
atmosphere,
while
remainder
imported
Southern
through
lateral
transport.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(6)
Published: Jan. 30, 2024
We
present
improved
estimates
of
air–sea
CO
2
exchange
over
three
latitude
bands
the
Southern
Ocean
using
atmospheric
measurements
from
global
airborne
campaigns
and
an
4-box
inverse
model
based
on
a
mass-indexed
isentropic
coordinate
(M
θe
).
These
flux
show
two
features
not
clearly
resolved
in
previous
inverting
surface
measurements:
weak
winter-time
outgassing
polar
region
sharp
phase
transition
seasonal
cycles
between
polar/subpolar
subtropical
regions.
The
suggest
much
stronger
summer-time
uptake
regions
than
derived
through
neural-network
interpolation
pCO
data
obtained
with
profiling
floats
but
somewhat
weaker
recent
study
by
Long
et
al.
[
Science
374
,
1275–1280
(2021)],
who
used
same
multiple
transport
models
(ATMs)
to
constrain
fluxes.
Our
also
uses
moist
static
energy
(MSE)
budgets
reanalyses
that
most
ATMs
tend
have
excessive
diabatic
mixing
(transport
across
isentrope,
θ
e
or
M
surfaces)
at
high
southern
latitudes
austral
summer,
which
leads
biases
exchange.
Furthermore,
we
MSE-based
constraint
is
consistent
independent
combining
observations.
Global Biogeochemical Cycles,
Journal Year:
2023,
Volume and Issue:
37(11)
Published: Nov. 1, 2023
Abstract
As
a
contribution
to
the
Regional
Carbon
Cycle
Assessment
and
Processes
phase
2
(RECCAP2)
project,
we
present
synthesized
estimates
of
Arctic
Ocean
sea‐air
CO
fluxes
their
uncertainties
from
surface
ocean
p
‐observation
products,
biogeochemical
hindcast
data
assimilation
models,
atmospheric
inversions.
For
period
1985–2018,
was
net
sink
116
±
4
TgC
yr
−1
in
92
30
91
21
The
uptake
peaks
late
summer
early
autumn,
is
low
winter
when
sea
ice
inhibits
fluxes.
long‐term
mean
primarily
caused
by
steady‐state
natural
carbon
(70%
15%),
enhanced
increase
(19%
5%)
climate
change
(11%
18%).
annual
increased
1985
2018
at
rate
31
13
dec
10
32
16
Moreover,
77%
38%
trend
over
time
change,
due
rapid
loss
recent
years.
Furthermore,
true
may
be
larger
than
given
ensemble
standard
deviations
common
structural
biases
across
all
individual
estimates.
Abstract
The
inter-annual
variability
of
global
ocean
air-sea
CO
2
fluxes
are
non-negligible,
modulates
the
warming
signal,
and
yet
it
is
poorly
represented
in
Earth
System
Models
(ESMs).
ESMs
highly
sophisticated
computationally
demanding,
making
challenging
to
perform
dedicated
experiments
investigate
key
drivers
flux
across
spatial
temporal
scales.
Machine
learning
methods
can
objectively
systematically
explore
large
datasets,
ensuring
physically
meaningful
results.
Here,
we
show
that
a
kernel
ridge
regression
reconstruct
present
future
five
ESMs.
Surface
concentration
dissolved
inorganic
carbon
(DIC)
alkalinity
emerge
as
critical
drivers,
but
former
projected
play
lesser
role
due
decreasing
vertical
gradient.
Our
results
demonstrate
new
approach
efficiently
interpret
massive
datasets
produced
by
ESMs,
offer
guidance
into
model
development
better
constrain
flux.
Global Biogeochemical Cycles,
Journal Year:
2024,
Volume and Issue:
38(8)
Published: Aug. 1, 2024
Abstract
Measurements
of
the
surface
ocean
fugacity
carbon
dioxide
(
f
CO
2
)
provide
an
important
constraint
on
global
sink,
yet
gap‐filling
products
developed
so
far
to
cope
with
sparse
observations
are
relatively
coarse
(1°
×
1°
by
1
month).
Here,
we
overcome
this
limitation
using
a
novel
combination
machine
learning‐based
methods
and
target
transformations
estimate
associated
sea‐air
fluxes
F
globally
at
resolution
8‐day
0.25°
(8D)
over
period
1982
through
2022.
Globally,
method
reconstructs
accuracy
similar
that
low‐resolution
(∼19
μatm),
but
improves
it
in
coastal
ocean.
Although
uptake
differs
little,
8D
product
captures
15%
more
variance
.
Most
increase
comes
from
better‐represented
subseasonal
scale
variability,
which
is
largely
driven
better‐resolved
variability
winds,
also
contributed
The
high‐resolution
capable
capturing
signal
short‐lived
regional
events
such
as
hurricanes.
For
example,
reveals
was
least
25
μatm
lower
wake
Hurricane
Maria
(2017),
result
complex
interplay
between
decrease
temperature,
entrainment
carbon‐rich
waters,
primary
production.
By
providing
new
insights
into
role
higher
frequency
variations
sink
underlying
processes,
fills
gap.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(9)
Published: April 30, 2024
Abstract
Observation‐based
quantification
of
ocean
carbon
dioxide
(CO
2
)
uptake
relies
on
synthesis
data
sets
such
as
the
Surface
Ocean
CO
ATlas
(SOCAT).
However,
collection
effort
has
dramatically
declined
and
number
annual
in
SOCATv2023
decreased
by
∼35%
from
2017
to
2021.
This
decline
led
a
65%
increase
(from
0.15
0.25
Pg
C
yr
−1
standard
deviation
seven
SOCAT‐based
air‐sea
flux
estimates.
Reducing
availability
that
year
2000
creates
substantial
bias
(50%)
long‐term
trend.
The
mean
is
insensitive
seasonal
skew
SOCAT
addition
lower
accuracy
set
available
SOCAT.
Our
study
highlights
need
for
sustained
synthesis,
inform
Global
Carbon
Budget
assessment,
UN‐led
climate
negotiations,
measurement,
reporting,
verification
ocean‐based
removal
projects.
Biogeosciences,
Journal Year:
2024,
Volume and Issue:
21(17), P. 3903 - 3926
Published: Sept. 4, 2024
Abstract.
The
ocean
and
the
land
biosphere
are
two
major
sinks
of
anthropogenic
carbon
at
present.
When
emissions
become
zero
temperatures
stabilize,
is
projected
to
dominant
only
global
natural
sink
carbon.
Despite
ocean's
importance
for
cycle
hence
climate,
uncertainties
about
decadal
variability
in
this
underlying
drivers
remain
large
because
observing
detecting
changes
over
time
challenging.
main
tools
that
used
provide
annually
resolved
estimates
last
decades
observation-based
pCO2
products
extrapolate
sparse
observations
space
biogeochemical
models
forced
with
atmospheric
reanalysis
data.
However,
these
(i)
limited
3
7
decades,
which
hinders
statistical
analyses
trends;
(ii)
all
based
on
same
internal
climate
state,
makes
it
impossible
separate
externally
internally
contributions
(iii)
cannot
assess
robustness
future,
especially
when
decline
or
cease
entirely.
Here,
I
use
an
ensemble
12
Earth
system
(ESMs)
from
phase
6
Coupled
Model
Intercomparison
Project
(CMIP6)
understand
trends
past,
present,
future
sink.
simulations
by
ESMs
span
period
1850
2100
include
four
different
Shared
Socioeconomic
Pathways
(SSPs),
low
high
mitigation
mitigation.
Using
ensemble,
show
80
%
can
be
explained
CO2
as
long
remains
smaller
than
4.5
Pg
C
yr−1.
remaining
20
due
heat
uptake,
result
a
loss
ocean.
exceeds
yr−1,
occurs
high-emission
SSP3-7.0
SSP5-8.5,
rises
faster,
change
accelerates,
overturning
chemical
capacity
take
up
atmosphere
reduce,
so
substantially
estimated
trends.
breakdown
relationship
both
pathways
also
implies
increase
effectively
∼1
yr−1
dec−1
pathways,
even
if
trend
continues
increase.
Previously
proposed
drivers,
such
growth
rate
CO2,
explain
specific
periods,
example,
during
exponential
growth,
but
fail
start
decrease
again.
robust
suggests
very
positive
negative
some
highly
unlikely
around
2000
likely
products.